For this tutorial, we will take a Wallaroo pipeline and publish it to an Open Container (OCI) Registry. The registry details are stored in the Wallaroo instance as the Edge Registry.
In this set of exercises, you will:
Deployment to the Edge allows data scientists to work in Wallaroo to test their models in Wallaroo, then once satisfied with the results publish those pipelines. DevOps engineers then take those published pipeline details from the Edge registry and deploy them into Docker and Kubernetes environments.
This tutorial will demonstrate the following concepts:
For this tutorial, we will be providing pre-trained models in ONNX format, and have connected a sample Edge Registry to our Wallaroo instance.
For more Wallaroo procedures, see the Wallaroo Documentation site.
In the blocks below we will preload some required libraries.
# run this to set the libraries
import wallaroo
from IPython.display import display
# used to display DataFrame information without truncating
from IPython.display import display
import pandas as pd
pd.set_option('display.max_colwidth', None)
The first step is to connect to Wallaroo through the Wallaroo client. The Python library is included in the Wallaroo install and available through the Jupyter Hub interface provided with your Wallaroo environment.
This is accomplished using the wallaroo.Client()
command, which provides a URL to grant the SDK permission to your specific Wallaroo environment. When displayed, enter the URL into a browser and confirm permissions. Store the connection into a variable that can be referenced later.
If logging into the Wallaroo instance through the internal JupyterHub service, use wl = wallaroo.Client()
. For more information on Wallaroo Client settings, see the Client Connection guide.
## blank space to log in
wl = wallaroo.Client()
# retrieve the previous workspace, model, and pipeline version
workspace_name = "tutorial-workspace-sentiment-analysis"
workspace = wl.get_workspace(workspace_name)
# set your current workspace to the workspace that you just created
wl.set_current_workspace(workspace)
embeddar_model_name = 'embedder'
embeddar_model_version = wl.get_model(embeddar_model_name)
sentiment_model_name = 'sentiment'
sentiment_model_version = wl.get_model(sentiment_model_name)
pipeline_name = 'imdb-reviewer'
pipeline = wl.get_pipeline(pipeline_name)
# display the current workspace, models, and pipelines
display(wl.get_current_workspace())
display(embeddar_model_version)
display(sentiment_model_version)
display(pipeline)
{'name': 'tutorial-workspace-sentiment-analysis', 'id': 11, 'archived': False, 'created_by': 'fca5c4df-37ac-4a78-9602-dd09ca72bc60', 'created_at': '2024-11-01T17:41:05.46033+00:00', 'models': [{'name': 'embedder', 'versions': 1, 'owner_id': '""', 'last_update_time': datetime.datetime(2024, 11, 1, 17, 41, 16, 654457, tzinfo=tzutc()), 'created_at': datetime.datetime(2024, 11, 1, 17, 41, 16, 654457, tzinfo=tzutc())}, {'name': 'sentiment', 'versions': 1, 'owner_id': '""', 'last_update_time': datetime.datetime(2024, 11, 1, 17, 41, 17, 663987, tzinfo=tzutc()), 'created_at': datetime.datetime(2024, 11, 1, 17, 41, 17, 663987, tzinfo=tzutc())}], 'pipelines': [{'name': 'imdb-reviewer', 'create_time': datetime.datetime(2024, 11, 1, 17, 41, 20, 204008, tzinfo=tzutc()), 'definition': '[]'}]}
Name | embedder |
Version | 71aaa7f9-f754-4b71-b2e0-e030ae4d5be2 |
File Name | embedder.onnx |
SHA | d083fd87fa84451904f71ab8b9adfa88580beb92ca77c046800f79780a20b7e4 |
Status | ready |
Image Path | None |
Architecture | x86 |
Acceleration | none |
Updated At | 2024-01-Nov 17:41:16 |
Workspace id | 11 |
Workspace name | tutorial-workspace-sentiment-analysis |
Name | sentiment |
Version | ae12f23d-0597-47c0-a381-7c1e07432d91 |
File Name | sentiment_model.onnx |
SHA | 3473ea8700fbf1a1a8bfb112554a0dde8aab36758030dcde94a9357a83fd5650 |
Status | ready |
Image Path | None |
Architecture | x86 |
Acceleration | none |
Updated At | 2024-01-Nov 17:41:17 |
Workspace id | 11 |
Workspace name | tutorial-workspace-sentiment-analysis |
name | imdb-reviewer |
---|---|
created | 2024-11-01 17:41:20.204008+00:00 |
last_updated | 2024-11-01 18:07:41.419145+00:00 |
deployed | False |
workspace_id | 11 |
workspace_name | tutorial-workspace-sentiment-analysis |
arch | x86 |
accel | none |
tags | |
versions | ea045efc-1cfb-4296-bece-f620cf479ed8, dc0fd017-f43f-4f00-821d-6e1a11ee88e2, a0d82d3f-14a3-4897-90b1-e4ca3e56d23c, 4024dae6-8e62-4720-8feb-c35c7224e1a7, f6287d00-b934-4ad8-9e92-cd20d544e6a5, d8d77a9d-5baa-4979-9e59-d746ce94dde2, 6a333530-d25a-4f42-9c74-97b5a96a150a |
steps | embedder |
published | False |
As per the other tutorials:
deploy_config = wallaroo.DeploymentConfigBuilder().replica_count(1).cpus(0.5).memory("1Gi").build()
## run this to set the deployment configuration
deploy_config = wallaroo.DeploymentConfigBuilder().replica_count(1).cpus(1).memory("1Gi").build()
## blank space to get your pipeline and run a small batch of data through it to see the range of predictions
pipeline.clear()
pipeline.add_model_step(embeddar_model_version)
pipeline.add_model_step(sentiment_model_version)
pipeline.deploy(deployment_config=deploy_config)
name | imdb-reviewer |
---|---|
created | 2024-11-01 17:41:20.204008+00:00 |
last_updated | 2024-11-01 18:26:41.676311+00:00 |
deployed | True |
workspace_id | 11 |
workspace_name | tutorial-workspace-sentiment-analysis |
arch | x86 |
accel | none |
tags | |
versions | a84f07f6-2ad4-43c4-9ec5-c6318ea6550a, ea045efc-1cfb-4296-bece-f620cf479ed8, dc0fd017-f43f-4f00-821d-6e1a11ee88e2, a0d82d3f-14a3-4897-90b1-e4ca3e56d23c, 4024dae6-8e62-4720-8feb-c35c7224e1a7, f6287d00-b934-4ad8-9e92-cd20d544e6a5, d8d77a9d-5baa-4979-9e59-d746ce94dde2, 6a333530-d25a-4f42-9c74-97b5a96a150a |
steps | embedder |
published | False |
Verify the pipeline is deployed properly with a sample inference with the file ./data/test_data.df.json
.
## blank space to perform sample inference
multiple_result = pipeline.infer_from_file('../data/test_data.df.json')
display(multiple_result)
display(len(multiple_result))
time | in.tensor | out.dense_1 | anomaly.count | |
---|---|---|---|---|
0 | 2024-11-01 18:27:00.991 | [1607.0, 2635.0, 5749.0, 199.0, 49.0, 351.0, 16.0, 2919.0, 159.0, 5092.0, 2457.0, 8.0, 11.0, 1252.0, 507.0, 42.0, 287.0, 316.0, 15.0, 65.0, 136.0, 2.0, 133.0, 16.0, 4311.0, 131.0, 286.0, 153.0, 5.0, 2826.0, 175.0, 54.0, 548.0, 48.0, 1.0, 17.0, 9.0, 183.0, 1.0, 111.0, 15.0, 1.0, 17.0, 284.0, 982.0, 18.0, 28.0, 211.0, 1.0, 1382.0, 8.0, 146.0, 1.0, 19.0, 12.0, 9.0, 13.0, 21.0, 1898.0, 122.0, 14.0, 70.0, 14.0, 9.0, 97.0, 25.0, 74.0, 1.0, 189.0, 12.0, 9.0, 6.0, 31.0, 3.0, 244.0, 2497.0, 3659.0, 2.0, 665.0, 2497.0, 63.0, 180.0, 1.0, 17.0, 6.0, 287.0, 3.0, 646.0, 44.0, 15.0, 161.0, 50.0, 71.0, 438.0, 351.0, 31.0, 5749.0, 2.0, 0.0, 0.0] | [0.37142318] | 0 |
1 | 2024-11-01 18:27:00.991 | [10.0, 25.0, 107.0, 11.0, 17.0, 2.0, 10.0, 119.0, 21.0, 456.0, 15.0, 11.0, 17.0, 6388.0, 10.0, 59.0, 21.0, 101.0, 41.0, 167.0, 5.0, 1447.0, 85.0, 10.0, 78.0, 21.0, 37.0, 11.0, 701.0, 2.0, 91.0, 2080.0, 4786.0, 10.0, 78.0, 21.0, 37.0, 5.0, 847.0, 782.0, 6388.0, 85.0, 10.0, 78.0, 21.0, 388.0, 65.0, 1098.0, 135.0, 59.0, 10.0, 137.0, 5.0, 2317.0, 51.0, 10.0, 244.0, 137.0, 5.0, 2316.0, 39.0, 1.0, 2346.0, 4519.0, 2316.0, 2.0, 1.0, 2346.0, 4519.0, 23.0, 1.0, 6222.0, 10.0, 8289.0, 681.0, 1.0, 7508.0, 5235.0, 78.0, 21.0, 388.0, 1.0, 782.0, 1098.0, 40.0, 37.0, 69.0, 1614.0, 10.0, 77.0, 21.0, 1411.0, 1.0, 2317.0, 1185.0, 54.0, 548.0, 48.0, 10.0, 235.0] | [0.9655761] | 0 |
2 | 2024-11-01 18:27:00.991 | [8.0, 3637.0, 4293.0, 1.0, 4523.0, 2.0, 2869.0, 4402.0, 2312.0, 8937.0, 4895.0, 3.0, 1872.0, 2204.0, 4.0, 695.0, 8461.0, 40.0, 5.0, 76.0, 192.0, 275.0, 5.0, 3164.0, 2.0, 8.0, 1813.0, 6501.0, 24.0, 4095.0, 2.0, 61.0, 5182.0, 6.0, 484.0, 2.0, 257.0, 1276.0, 16.0, 1639.0, 369.0, 7.0, 7.0, 6.0, 32.0, 2497.0, 1147.0, 2.0, 573.0, 355.0, 17.0, 41.0, 32.0, 9111.0, 3729.0, 12.0, 492.0, 3.0, 376.0, 4.0, 501.0, 39.0, 2477.0, 40.0, 5.0, 76.0, 192.0, 275.0, 5.0, 815.0, 4119.0, 2.0, 109.0, 1238.0, 3422.0, 685.0, 5.0, 24.0, 8670.0, 1997.0, 8.0, 16.0, 894.0, 11.0, 106.0, 59.0, 27.0, 1.0, 2606.0, 6725.0, 3528.0, 4.0, 1.0, 2132.0, 1391.0, 2.0, 445.0, 20.0, 11.0, 62.0] | [0.07601619] | 0 |
3 | 2024-11-01 18:27:00.991 | [11.0, 19.0, 6.0, 364.0, 16.0, 3452.0, 7794.0, 2.0, 196.0, 105.0, 560.0, 3.0, 173.0, 5.0, 27.0, 4624.0, 8.0, 1.0, 93.0, 4.0, 65.0, 285.0, 83.0, 196.0, 105.0, 23.0, 52.0, 462.0, 2033.0, 228.0, 9.0, 251.0, 5.0, 64.0, 616.0, 802.0, 1445.0, 330.0, 1080.0, 19.0, 45.0, 2571.0, 2.0, 22.0, 23.0, 914.0, 5.0, 103.0, 3.0, 2273.0, 19.0, 148.0, 4451.0, 124.0, 303.0, 5.0, 25.0, 3.0, 125.0, 4453.0, 1274.0, 10.0, 207.0, 2784.0, 2571.0, 18.0, 15.0, 1.0, 695.0, 43.0, 47.0, 11.0, 215.0, 3.0, 436.0, 131.0, 285.0, 709.0, 187.0, 23.0, 21.0, 1.0, 2154.0, 4.0, 1.0, 201.0, 19.0, 1184.0, 40.0, 1.0, 7076.0, 5002.0, 109.0, 686.0, 2745.0, 300.0, 7.0, 7.0, 14.0, 15.0] | [0.24645236] | 0 |
4 | 2024-11-01 18:27:00.991 | [10.0, 61.0, 927.0, 20.0, 63.0, 52.0, 49.0, 105.0, 2.0, 20.0, 2148.0, 1906.0, 58.0, 5517.0, 6.0, 5.0, 336.0, 81.0, 34.0, 178.0, 5.0, 64.0, 84.0, 105.0, 5.0, 1138.0, 65.0, 55.0, 2.0, 275.0, 6528.0, 7.0, 7.0, 10.0, 79.0, 178.0, 5.0, 567.0, 81.0, 3109.0, 65.0, 55.0, 20.0, 1240.0, 2.0, 178.0, 5.0, 1.0, 189.0, 12.0, 1.0, 164.0, 1323.0, 4.0, 131.0, 1240.0, 105.0, 188.0, 76.0, 242.0, 16.0, 9.0, 15.0, 52.0, 193.0, 72.0, 77.0, 166.0, 43.0, 34.0, 22.0, 23.0, 2.0, 77.0, 2299.0, 16.0, 43.0, 2187.0, 2.0, 7.0, 7.0, 11.0, 19.0, 692.0, 732.0, 80.0, 1.0, 1240.0, 2375.0, 7.0, 7.0, 1.0, 164.0, 2.0, 561.0, 6.0, 305.0, 42.0, 207.0, 3.0] | [0.08632833] | 0 |
5 | 2024-11-01 18:27:00.991 | [51.0, 22.0, 165.0, 30.0, 1.0, 1106.0, 2.0, 329.0, 535.0, 41.0, 9.0, 32.0, 1093.0, 272.0, 549.0, 4.0, 17.0, 263.0, 5.0, 327.0, 71.0, 48.0, 22.0, 76.0, 130.0, 92.0, 171.0, 276.0, 10.0, 329.0, 1.0, 2718.0, 15.0, 1.0, 82.0, 17.0, 443.0, 302.0, 14.0, 47.0, 68.0, 104.0, 99.0, 4.0, 11.0, 422.0, 622.0, 41.0, 1.0, 169.0, 55.0, 16.0, 196.0, 1889.0, 1840.0, 12.0, 66.0, 1316.0, 788.0, 8.0, 1139.0, 187.0, 883.0, 535.0, 41.0, 12.0, 17.0, 130.0, 10.0, 121.0, 10.0, 216.0, 11.0, 28.0, 2.0, 21.0, 12.0, 28.0, 2.0, 12.0, 17.0, 6.0, 57.0, 326.0, 48.0, 28.0, 59.0, 836.0, 3.0, 17.0, 16.0, 12.0, 422.0, 59.0, 27.0, 41.0, 10.0, 77.0, 27.0, 1199.0] | [0.6396135] | 0 |
6 | 2024-11-01 18:27:00.991 | [2108.0, 143.0, 803.0, 18.0, 57.0, 15.0, 1.0, 1351.0, 195.0, 40.0, 93.0, 96.0, 952.0, 5.0, 27.0, 2599.0, 626.0, 22.0, 67.0, 1338.0, 1.0, 201.0, 1.0, 1029.0, 558.0, 85.0, 9.0, 13.0, 151.0, 99.0, 2.0, 245.0, 284.0, 18.0, 195.0, 74.0, 221.0, 277.0, 35.0, 1.0, 751.0, 884.0, 5.0, 27.0, 3.0, 114.0, 326.0, 1247.0, 21.0, 57.0, 50.0, 7546.0, 935.0, 1.0, 83.0, 17.0, 66.0, 1.0, 1368.0, 4.0, 1375.0, 7074.0, 3.0, 129.0, 34.0, 97.0, 57.0, 94.0, 6312.0, 8.0, 5715.0, 303.0, 6977.0, 12.0, 11.0, 28.0, 5928.0, 1501.0, 35.0, 47.0, 13.0, 54.0, 8.0, 230.0, 12.0, 572.0, 9.0, 40.0, 465.0, 707.0, 7.0, 7.0, 3388.0, 10.0, 61.0, 216.0, 11.0, 277.0, 51.0, 10.0] | [0.024733633] | 0 |
7 | 2024-11-01 18:27:00.991 | [2535.0, 9933.0, 16.0, 4753.0, 197.0, 136.0, 2.0, 2338.0, 2104.0, 3438.0, 3.0, 173.0, 4.0, 5041.0, 5.0, 867.0, 140.0, 2.0, 77.0, 239.0, 468.0, 122.0, 88.0, 794.0, 18.0, 1.0, 412.0, 2656.0, 2794.0, 280.0, 2.0, 913.0, 34.0, 9896.0, 24.0, 645.0, 8.0, 217.0, 172.0, 133.0, 79.0, 406.0, 32.0, 1253.0, 1075.0, 236.0, 3.0, 5.0, 27.0, 249.0, 18.0, 1.0, 50.0, 4913.0, 1154.0, 90.0, 104.0, 150.0, 300.0, 6.0, 3.0, 3782.0, 1487.0, 928.0, 10.0, 1462.0, 22.0, 103.0, 12.0, 302.0, 297.0, 238.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] | [0.50299007] | 0 |
8 | 2024-11-01 18:27:00.991 | [51.0, 360.0, 6.0, 266.0, 5.0, 4415.0, 48.0, 32.0, 1086.0, 411.0, 6.0, 37.0, 33.0, 1851.0, 35.0, 3596.0, 1553.0, 9.0, 251.0, 1485.0, 712.0, 8.0, 1.0, 1638.0, 4.0, 1.0, 1258.0, 7.0, 7.0, 205.0, 98.0, 1258.0, 2372.0, 184.0, 266.0, 5.0, 9832.0, 8.0, 24.0, 30.0, 172.0, 1825.0, 249.0, 33.0, 3252.0, 43.0, 8.0, 5987.0, 2.0, 1259.0, 1857.0, 472.0, 42.0, 21.0, 37.0, 33.0, 23.0, 5236.0, 34.0, 112.0, 25.0, 3.0, 7.0, 7.0, 935.0, 44.0, 22.0, 23.0, 3.0, 1258.0, 22.0, 121.0, 29.0, 41.0, 2.0, 476.0, 2.0, 2414.0, 2.0, 4.0, 261.0, 332.0, 1341.0, 53.0, 5.0, 1302.0, 16.0, 2026.0, 684.0, 2.0, 3.0, 4721.0, 4.0, 95.0, 131.0, 180.0, 37.0, 29.0, 137.0, 292.0] | [0.93422383] | 0 |
9 | 2024-11-01 18:27:00.991 | [4955.0, 1007.0, 8902.0, 6.0, 8172.0, 43.0, 4.0, 270.0, 16.0, 11.0, 5301.0, 679.0, 248.0, 1785.0, 2.0, 7233.0, 62.0, 12.0, 2472.0, 36.0, 3.0, 563.0, 580.0, 4.0, 918.0, 8175.0, 183.0, 5.0, 25.0, 9291.0, 55.0, 2.0, 6851.0, 15.0, 1.0, 83.0, 190.0, 14.0, 829.0, 913.0, 2.0, 273.0, 114.0, 778.0, 80.0, 65.0, 552.0, 4491.0, 408.0, 2.0, 206.0, 1705.0, 7.0, 7.0, 3413.0, 7568.0, 7052.0, 5226.0, 492.0, 14.0, 32.0, 1001.0, 129.0, 20.0, 3.0, 1976.0, 289.0, 12.0, 268.0, 75.0, 2.0, 211.0, 24.0, 319.0, 554.0, 8.0, 1.0, 1768.0, 26.0, 2941.0, 36.0, 1168.0, 2.0, 1238.0, 728.0, 43.0, 5.0, 513.0, 1.0, 319.0, 4.0, 1.0, 1252.0, 34.0, 554.0, 24.0, 3099.0, 4.0, 1785.0, 23.0] | [0.71775126] | 0 |
10 | 2024-11-01 18:27:00.991 | [246.0, 17.0, 123.0, 107.0, 246.0, 113.0, 96.0, 10.0, 562.0, 836.0, 3.0, 17.0, 430.0, 92.0, 11.0, 161.0, 5.0, 64.0, 54.0, 113.0, 30.0, 29.0, 827.0, 1398.0, 153.0, 141.0, 165.0, 15.0, 157.0, 289.0, 10.0, 388.0, 34.0, 13.0, 375.0, 192.0, 5.0, 162.0, 273.0, 275.0, 80.0, 11.0, 17.0, 7.0, 7.0, 143.0, 803.0, 15.0, 2127.0, 3337.0, 212.0, 27.0, 1208.0, 10.0, 562.0, 836.0, 86.0, 24.0, 212.0, 27.0, 5.0, 4357.0, 653.0, 1.0, 289.0, 7.0, 7.0, 1.0, 1914.0, 8.0, 1.0, 17.0, 379.0, 33.0, 125.0, 1226.0, 5.0, 7.0, 7.0, 14.0, 15.0, 1.0, 969.0, 129.0, 48.0, 3.0, 482.0, 26.0, 125.0, 27.0, 273.0, 20.0, 3.0, 482.0, 2.0, 787.0, 47.0, 10.0, 67.0, 64.0] | [0.0020476878] | 0 |
11 | 2024-11-01 18:27:00.991 | [10.0, 13.0, 914.0, 5.0, 103.0, 11.0, 19.0, 15.0, 58.0, 179.0, 702.0, 11.0, 19.0, 6.0, 48.0, 6.0, 352.0, 16.0, 932.0, 637.0, 302.0, 4.0, 43.0, 1.0, 115.0, 93.0, 43.0, 4.0, 251.0, 208.0, 39.0, 1182.0, 72.0, 59.0, 244.0, 3822.0, 41.0, 86.0, 9.0, 6.0, 291.0, 5927.0, 2154.0, 11.0, 19.0, 268.0, 140.0, 1.0, 8534.0, 4.0, 2.0, 8234.0, 9.0, 1242.0, 20.0, 828.0, 8.0, 1.0, 1768.0, 4.0, 396.0, 35.0, 2566.0, 268.0, 5.0, 84.0, 5.0, 94.0, 1.0, 7097.0, 4.0, 828.0, 43.0, 5.0, 27.0, 1912.0, 40.0, 85.0, 33.0, 23.0, 396.0, 65.0, 289.0, 8.0, 3.0, 922.0, 2566.0, 105.0, 447.0, 466.0, 1.0, 19.0, 2.0, 124.0, 21.0, 123.0, 57.0, 940.0, 277.0, 44.0] | [0.35586113] | 0 |
12 | 2024-11-01 18:27:00.991 | [70.0, 9.0, 6.0, 41.0, 297.0, 1777.0, 150.0, 8.0, 1.0, 704.0, 2.0, 72.0, 25.0, 414.0, 4255.0, 1.0, 4299.0, 3737.0, 197.0, 18.0, 1035.0, 72.0, 128.0, 358.0, 1865.0, 12.0, 1255.0, 3599.0, 325.0, 346.0, 23.0, 128.0, 2770.0, 254.0, 82.0, 1090.0, 2.0, 394.0, 309.0, 8201.0, 994.0, 522.0, 1139.0, 2737.0, 2607.0, 325.0, 346.0, 23.0, 128.0, 394.0, 1.0, 343.0, 127.0, 4.0, 1.0, 1226.0, 8029.0, 8.0, 2704.0, 325.0, 4695.0, 4490.0, 12.0, 165.0, 37.0, 504.0, 36.0, 1493.0, 488.0, 9678.0, 16.0, 1.0, 2.0, 1048.0, 6614.0, 81.0, 128.0, 5234.0, 5.0, 845.0, 54.0, 3720.0, 39.0, 7942.0, 2989.0, 3992.0, 128.0, 269.0, 2.0, 1421.0, 992.0, 356.0, 10.0, 137.0, 20.0, 8.0, 343.0, 11.0, 845.0, 13.0] | [0.24872246] | 0 |
13 | 2024-11-01 18:27:00.991 | [129.0, 16.0, 1.0, 1936.0, 1221.0, 6.0, 3.0, 62.0, 4.0, 4801.0, 5508.0, 2.0, 1057.0, 8.0, 1.0, 3.0, 389.0, 510.0, 1021.0, 3656.0, 3085.0, 4214.0, 53.0, 16.0, 170.0, 4.0, 24.0, 1221.0, 2952.0, 31.0, 12.0, 4.0, 3.0, 1763.0, 7203.0, 2661.0, 1.0, 104.0, 423.0, 27.0, 50.0, 272.0, 18.0, 33.0, 1493.0, 28.0, 152.0, 196.0, 68.0, 554.0, 31.0, 1.0, 169.0, 252.0, 835.0, 142.0, 5.0, 110.0, 31.0, 3.0, 1165.0, 1654.0, 1021.0, 2.0, 808.0, 32.0, 2386.0, 5.0, 1402.0, 177.0, 65.0, 1139.0, 5458.0, 7.0, 7.0, 1474.0, 4533.0, 1743.0, 5.0, 1.0, 500.0, 186.0, 17.0, 509.0, 12.0, 516.0, 87.0, 24.0, 1212.0, 2676.0, 11.0, 55.0, 21.0, 61.0, 8.0, 1006.0, 4.0, 1.0, 265.0, 18.0] | [0.27329928] | 0 |
14 | 2024-11-01 18:27:00.991 | [10.0, 112.0, 329.0, 1.0, 271.0, 147.0, 10.0, 89.0, 63.0, 178.0, 5.0, 10.0, 66.0, 54.0, 2304.0, 48.0, 11.0, 17.0, 13.0, 41.0, 51.0, 10.0, 2526.0, 80.0, 1.0, 1712.0, 10.0, 128.0, 89.0, 63.0, 121.0, 48.0, 210.0, 9.0, 13.0, 420.0, 5.0, 76.0, 635.0, 18.0, 10.0, 78.0, 121.0, 12.0, 3.0, 49.0, 104.0, 631.0, 13.0, 1050.0, 36.0, 58.0, 110.0, 104.0, 3657.0, 631.0, 10.0, 67.0, 112.0, 76.0, 142.0, 7.0, 7.0, 1.0, 766.0, 13.0, 35.0, 725.0, 42.0, 1319.0, 6633.0, 39.0, 139.0, 3.0, 52.0, 6550.0, 2.0, 6270.0, 549.0, 111.0, 10.0, 8674.0, 1.0, 742.0, 674.0, 232.0, 80.0, 1.0, 17.0, 2.0, 10.0, 13.0, 2289.0, 7.0, 7.0, 1.0, 113.0, 215.0, 524.0, 1.0] | [0.009601623] | 0 |
15 | 2024-11-01 18:27:00.991 | [28.0, 4.0, 1.0, 99.0, 10.0, 40.0, 158.0, 178.0, 5.0, 64.0, 10.0, 185.0, 9.0, 8.0, 1.0, 4968.0, 4434.0, 18.0, 1537.0, 1.0, 113.0, 13.0, 52.0, 75.0, 30.0, 1.0, 127.0, 4.0, 1.0, 17.0, 10.0, 128.0, 241.0, 767.0, 10.0, 293.0, 1.0, 223.0, 17.0, 10.0, 3543.0, 135.0, 10.0, 293.0, 1.0, 17.0, 7.0, 7.0, 79.0, 130.0, 8.0, 1.0, 1.0, 561.0, 4.0, 11.0, 17.0, 42.0, 811.0, 36.0, 3.0, 271.0, 4.0, 194.0, 9.0, 13.0, 52.0, 75.0, 2.0, 13.0, 683.0, 12.0, 24.0, 17.0, 382.0, 43.0, 37.0, 11.0, 372.0, 55.0, 26.0, 490.0, 3.0, 214.0, 8.0, 6020.0, 81.0, 15.0, 1.0, 174.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] | [0.49502048] | 0 |
16 | 2024-11-01 18:27:00.991 | [70.0, 10.0, 66.0, 1.0, 577.0, 5.0, 646.0, 11.0, 19.0, 1.0, 82.0, 248.0, 10.0, 158.0, 121.0, 48.0, 5.0, 532.0, 14.0, 10.0, 112.0, 216.0, 1.0, 1469.0, 2.0, 138.0, 18.0, 48.0, 10.0, 119.0, 1971.0, 328.0, 31.0, 146.0, 1.0, 83.0, 155.0, 232.0, 6.0, 12.0, 11.0, 19.0, 6.0, 1.0, 246.0, 10.0, 25.0, 123.0, 66.0, 1.0, 6284.0, 5.0, 64.0, 7.0, 7.0, 10.0, 654.0, 10.0, 97.0, 199.0, 9.0, 11.0, 19.0, 3.0, 2244.0, 672.0, 1.0, 83.0, 155.0, 232.0, 68.0, 75.0, 18.0, 14.0, 512.0, 14.0, 9.0, 1.0, 1070.0, 133.0, 10.0, 470.0, 5.0, 40.0, 2541.0, 3.0, 7243.0, 9.0, 13.0, 63.0, 859.0, 221.0, 1.0, 153.0, 158.0, 25.0, 98.0, 455.0, 47.0, 13.0] | [0.08304423] | 0 |
17 | 2024-11-01 18:27:00.991 | [11.0, 6.0, 3.0, 17.0, 12.0, 141.0, 25.0, 74.0, 3.0, 2385.0, 198.0, 14.0, 9.0, 494.0, 5.0, 76.0, 96.0, 73.0, 1615.0, 8.0, 96.0, 389.0, 3.0, 831.0, 1.0, 223.0, 62.0, 6.0, 1341.0, 109.0, 16.0, 1491.0, 1840.0, 106.0, 2866.0, 2.0, 4025.0, 1322.0, 1615.0, 12.0, 137.0, 1279.0, 47.0, 6.0, 3.0, 5023.0, 111.0, 118.0, 427.0, 889.0, 3.0, 247.0, 56.0, 45.0, 5021.0, 18.0, 211.0, 1018.0, 6388.0, 2.0, 92.0, 38.0, 5021.0, 2565.0, 2.0, 56.0, 268.0, 5.0, 64.0, 44.0, 33.0, 23.0, 144.0, 33.0, 468.0, 43.0, 21.0, 5.0, 27.0, 18.0, 38.0, 656.0, 525.0, 262.0, 12.0, 56.0, 13.0, 21.0, 2.0, 38.0, 217.0, 1432.0, 149.0, 178.0, 38.0, 14.0, 56.0, 13.0, 21.0, 5.0] | [0.053483546] | 0 |
18 | 2024-11-01 18:27:00.991 | [462.0, 6.0, 3.0, 52.0, 361.0, 349.0, 362.0, 90.0, 31.0, 3.0, 758.0, 4.0, 4222.0, 60.0, 1025.0, 5.0, 213.0, 122.0, 14.0, 3.0, 240.0, 4.0, 2391.0, 1620.0, 17.0, 469.0, 1.0, 335.0, 299.0, 1637.0, 113.0, 2.0, 4960.0, 62.0, 163.0, 11.0, 3.0, 52.0, 1499.0, 186.0, 1175.0, 30.0, 115.0, 31.0, 54.0, 814.0, 6.0, 462.0, 1.0, 246.0, 186.0, 17.0, 204.0, 123.0, 107.0, 9.0, 40.0, 215.0, 230.0, 315.0, 2.0, 45.0, 161.0, 8.0, 9.0, 5.0, 8136.0, 3.0, 330.0, 103.0, 39.0, 437.0, 15.0, 3.0, 751.0, 22.0, 121.0, 3.0, 164.0, 45.0, 5021.0, 41.0, 65.0, 203.0, 186.0, 19.0, 51.0, 3.0, 47.0, 6.0, 46.0, 1147.0, 1003.0, 2.0, 500.0, 1.0, 1324.0, 35.0, 343.0, 33.0] | [0.027423024] | 0 |
19 | 2024-11-01 18:27:00.991 | [3.0, 3515.0, 4.0, 182.0, 1166.0, 2480.0, 1195.0, 5.0, 137.0, 7780.0, 16.0, 3.0, 2492.0, 3.0, 1460.0, 178.0, 5.0, 3558.0, 95.0, 5.0, 3614.0, 1.0, 7537.0, 213.0, 1.0, 288.0, 3082.0, 33.0, 79.0, 25.0, 5.0, 16.0, 32.0, 1392.0, 2.0, 3.0, 964.0, 549.0, 152.0, 287.0, 146.0, 15.0, 61.0, 339.0, 1004.0, 739.0, 7078.0, 3.0, 1035.0, 500.0, 17.0, 6.0, 20.0, 505.0, 14.0, 3.0, 2.0, 1.0, 82.0, 238.0, 4871.0, 5.0, 1.0, 1378.0, 8.0, 28.0, 4.0, 61.0, 339.0, 695.0, 1504.0, 552.0, 56.0, 66.0, 196.0, 25.0, 52.0, 389.0, 552.0, 96.0, 75.0, 282.0, 331.0, 8.0, 1.0, 17.0, 6.0, 75.0, 7.0, 7.0, 58.0, 1239.0, 1092.0, 7.0, 7.0, 285.0, 2256.0, 201.0, 1469.0, 7.0] | [0.012647837] | 0 |
20 | 2024-11-01 18:27:00.991 | [6.0, 267.0, 8.0, 8693.0, 118.0, 104.0, 296.0, 1166.0, 1534.0, 3019.0, 8352.0, 2860.0, 3848.0, 5.0, 2072.0, 716.0, 16.0, 1.0, 4097.0, 4.0, 716.0, 461.0, 47.0, 33.0, 848.0, 4339.0, 8.0, 3.0, 1452.0, 410.0, 1993.0, 41.0, 1.0, 1393.0, 4930.0, 4.0, 3.0, 4007.0, 1663.0, 9.0, 502.0, 43.0, 12.0, 3.0, 975.0, 442.0, 1362.0, 770.0, 453.0, 47.0, 34.0, 45.0, 2585.0, 1.0, 36.0, 24.0, 333.0, 708.0, 301.0, 3.0, 3720.0, 5.0, 1.0, 286.0, 536.0, 514.0, 2767.0, 1.0, 538.0, 4.0, 2085.0, 732.0, 15.0, 3.0, 229.0, 770.0, 485.0, 5077.0, 34.0, 40.0, 35.0, 568.0, 5.0, 27.0, 593.0, 1195.0, 5.0, 765.0, 53.0, 3741.0, 1.0, 179.0, 4.0, 1.0, 442.0, 7.0, 7.0, 523.0, 31.0, 2896.0] | [0.023909122] | 0 |
21 | 2024-11-01 18:27:00.991 | [6.0, 28.0, 4.0, 1.0, 99.0, 118.0, 22.0, 166.0, 1.0, 9554.0, 1510.0, 8.0, 1392.0, 435.0, 130.0, 6.0, 28.0, 49.0, 459.0, 5.0, 120.0, 86.0, 318.0, 924.0, 905.0, 2.0, 153.0, 5.0, 1.0, 1179.0, 130.0, 6.0, 28.0, 4.0, 1.0, 88.0, 386.0, 153.0, 113.0, 8.0, 3.0, 17.0, 41.0, 3.0, 144.0, 62.0, 8.0, 1.0, 8306.0, 4.0, 1.0, 19.0, 6.0, 8827.0, 16.0, 1491.0, 1270.0, 696.0, 136.0, 2.0, 687.0, 47.0, 6.0, 11.0, 106.0, 34.0, 8.0, 632.0, 6.0, 1.0, 489.0, 4.0, 1.0, 1323.0, 4.0, 1.0, 19.0, 3037.0, 26.0, 149.0, 25.0, 3.0, 1150.0, 602.0, 464.0, 24.0, 1909.0, 2252.0, 87.0, 5.0, 78.0, 35.0, 11.0, 550.0, 149.0, 121.0, 48.0, 6.0, 113.0, 2.0] | [0.86372817] | 0 |
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23 | 2024-11-01 18:27:00.991 | [10.0, 13.0, 914.0, 5.0, 329.0, 11.0, 4513.0, 116.0, 62.0, 197.0, 3.0, 1121.0, 3315.0, 288.0, 151.0, 2.0, 3.0, 1686.0, 288.0, 151.0, 9250.0, 12.0, 45.0, 990.0, 8463.0, 395.0, 29.0, 117.0, 9.0, 91.0, 240.0, 4.0, 37.0, 1.0, 17.0, 1102.0, 8.0, 60.0, 3.0, 1813.0, 490.0, 5.0, 27.0, 875.0, 18.0, 145.0, 442.0, 1527.0, 4257.0, 384.0, 9.0, 85.0, 33.0, 356.0, 9.0, 70.0, 10.0, 25.0, 49.0, 1633.0, 1.0, 1527.0, 23.0, 442.0, 8.0, 1.0, 1121.0, 1630.0, 2.0, 24.0, 1502.0, 271.0, 135.0, 3234.0, 118.0, 345.0, 5.0, 175.0, 31.0, 556.0, 2.0, 44.0, 1.0, 1527.0, 884.0, 3.0, 1813.0, 1.0, 67.0, 5459.0, 70.0, 358.0, 9.0, 8.0, 1.0, 169.0, 278.0, 1.0, 1121.0, 66.0] | [0.34649062] | 0 |
24 | 2024-11-01 18:27:00.991 | [1.0, 1584.0, 6.0, 3.0, 52.0, 75.0, 245.0, 17.0, 36.0, 1.0, 3468.0, 1181.0, 1.0, 92.0, 656.0, 319.0, 765.0, 4.0, 667.0, 6353.0, 2.0, 6295.0, 2130.0, 14.0, 1839.0, 56.0, 45.0, 2.0, 829.0, 3.0, 2014.0, 14.0, 3.0, 1716.0, 610.0, 561.0, 237.0, 32.0, 3553.0, 2407.0, 34.0, 6.0, 52.0, 2.0, 424.0, 9725.0, 16.0, 38.0, 65.0, 1584.0, 138.0, 14.0, 9.0, 6.0, 6.0, 4151.0, 36.0, 1.0, 377.0, 2.0, 56.0, 691.0, 9.0, 18.0, 268.0, 364.0, 16.0, 9.0, 551.0, 104.0, 180.0, 5.0, 103.0, 15.0, 44.0, 22.0, 23.0, 2603.0, 80.0, 146.0, 11.0, 1011.0, 4498.0, 12.0, 6.0, 112.0, 54.0, 548.0, 48.0, 2.0, 3.0, 3190.0, 56.0, 3135.0, 399.0, 8.0, 11.0, 2143.0, 507.0, 56.0] | [0.35645902] | 0 |
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26 | 2024-11-01 18:27:00.991 | [143.0, 803.0, 491.0, 29.0, 34.0, 194.0, 11.0, 19.0, 97.0, 27.0, 139.0, 84.0, 143.0, 1590.0, 22.0, 59.0, 27.0, 683.0, 7.0, 7.0, 1.0, 1270.0, 1.0, 17.0, 470.0, 5.0, 267.0, 6.0, 337.0, 2258.0, 31.0, 46.0, 52.0, 603.0, 111.0, 35.0, 603.0, 12.0, 1.0, 17.0, 6.0, 21.0, 363.0, 1.0, 127.0, 10.0, 1800.0, 543.0, 44.0, 1.0, 111.0, 283.0, 41.0, 1.0, 202.0, 18.0, 41.0, 1.0, 290.0, 106.0, 253.0, 31.0, 4085.0, 8183.0, 18.0, 10.0, 255.0, 12.0, 1.0, 106.0, 13.0, 5560.0, 342.0, 26.0, 6.0, 3.0, 1620.0, 452.0, 39.0, 46.0, 3247.0, 2367.0, 593.0, 18.0, 196.0, 89.0, 137.0, 292.0, 85.0, 1.0, 550.0, 26.0, 494.0, 5.0, 3616.0, 6829.0, 87.0, 8.0, 1821.0, 1182.0] | [0.06785953] | 0 |
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28 | 2024-11-01 18:27:00.991 | [44.0, 9.0, 1169.0, 15.0, 1.0, 799.0, 43.0, 4.0, 3171.0, 712.0, 2.0, 3.0, 51.0, 28.0, 106.0, 199.0, 157.0, 1.0, 4398.0, 9.0, 59.0, 27.0, 773.0, 5.0, 1318.0, 11.0, 361.0, 349.0, 15.0, 3.0, 917.0, 923.0, 1305.0, 1807.0, 1.0, 111.0, 41.0, 1.0, 1024.0, 5.0, 2327.0, 3.0, 601.0, 4.0, 9.0, 1816.0, 4389.0, 14.0, 1246.0, 2874.0, 627.0, 192.0, 16.0, 1.0, 628.0, 306.0, 4914.0, 8.0, 4861.0, 4.0, 3.0, 4963.0, 5581.0, 20.0, 1057.0, 2938.0, 1.0, 17.0, 6.0, 7426.0, 355.0, 725.0, 2.0, 57.0, 4147.0, 4.0, 218.0, 315.0, 299.0, 347.0, 5168.0, 2400.0, 1790.0, 45.0, 3.0, 1401.0, 214.0, 14.0, 1.0, 442.0, 1366.0, 34.0, 1.0, 2082.0, 2.0, 147.0, 490.0, 5.0, 9587.0, 29.0] | [0.43954018] | 0 |
29 | 2024-11-01 18:27:00.991 | [89.0, 3233.0, 51.0, 264.0, 30.0, 1.0, 1106.0, 4.0, 1.0, 285.0, 4608.0, 61.0, 736.0, 30.0, 88.0, 454.0, 232.0, 8.0, 959.0, 8.0, 11.0, 1212.0, 353.0, 1.0, 718.0, 1104.0, 130.0, 6.0, 52.0, 309.0, 7.0, 7.0, 5.0, 401.0, 18.0, 3.0, 168.0, 4.0, 1.0, 108.0, 3574.0, 12.0, 141.0, 27.0, 1535.0, 689.0, 5.0, 7.0, 7.0, 1.0, 442.0, 2333.0, 4.0, 1.0, 2291.0, 75.0, 491.0, 1.0, 315.0, 1054.0, 1.0, 912.0, 5172.0, 2.0, 5417.0, 4.0, 1.0, 566.0, 2173.0, 1.0, 768.0, 5.0, 1271.0, 3.0, 4008.0, 2.0, 566.0, 1.0, 1560.0, 1.0, 7834.0, 4.0, 1321.0, 53.0, 661.0, 1.0, 5170.0, 133.0, 8.0, 60.0, 732.0, 8950.0, 20.0, 1.0, 887.0, 1.0, 117.0, 1588.0, 1118.0, 3015.0] | [0.033311725] | 0 |
30 | 2024-11-01 18:27:00.991 | [11.0, 17.0, 13.0, 40.0, 3383.0, 86.0, 97.0, 1815.0, 37.0, 11.0, 17.0, 2.0, 15.0, 1.0, 659.0, 34.0, 421.0, 9.0, 85.0, 4.0, 1.0, 638.0, 33.0, 141.0, 63.0, 190.0, 3.0, 193.0, 251.0, 165.0, 8.0, 1.0, 2908.0, 2.0, 940.0, 530.0, 44.0, 2113.0, 23.0, 21.0, 75.0, 7282.0, 1.0, 390.0, 4.0, 1.0, 4319.0, 2113.0, 11.0, 13.0, 40.0, 370.0, 9.0, 112.0, 66.0, 91.0, 385.0, 44.0, 9.0, 1535.0, 3484.0, 5.0, 5400.0, 4604.0, 9.0, 735.0, 5.0, 987.0, 46.0, 50.0, 370.0, 113.0, 391.0, 226.0, 484.0, 57.0, 15.0, 3.0, 17.0, 16.0, 39.0, 824.0, 3311.0, 11.0, 17.0, 13.0, 75.0, 36.0, 1.0, 451.0, 18.0, 81.0, 235.0, 25.0, 107.0, 1.0, 223.0, 152.0, 31.0, 1.0] | [0.00014650822] | 0 |
31 | 2024-11-01 18:27:00.991 | [1027.0, 5556.0, 6.0, 3.0, 1250.0, 17.0, 8.0, 58.0, 649.0, 46.0, 180.0, 78.0, 8087.0, 69.0, 41.0, 9.0, 961.0, 1330.0, 1641.0, 2357.0, 86.0, 193.0, 9.0, 559.0, 15.0, 38.0, 5.0, 76.0, 35.0, 49.0, 30.0, 1101.0, 2357.0, 7214.0, 41.0, 2484.0, 150.0, 215.0, 2357.0, 420.0, 5.0, 27.0, 3057.0, 2.0, 46.0, 180.0, 78.0, 69.0, 41.0, 9.0, 10.0, 444.0, 1.0, 441.0, 148.0, 9.0, 3692.0, 69.0, 51.0, 11.0, 17.0, 13.0, 90.0, 10.0, 283.0, 57.0, 1443.0, 10.0, 158.0, 63.0, 582.0, 1.0, 4284.0, 10.0, 13.0, 1443.0, 8.0, 2.0, 10.0, 25.0, 5.0, 591.0, 515.0, 2357.0, 59.0, 40.0, 518.0, 8.0, 270.0, 3.0, 224.0, 39.0, 1396.0, 762.0, 29.0, 117.0, 21.0, 63.0, 1101.0, 40.0] | [0.73986185] | 0 |
32 | 2024-11-01 18:27:00.991 | [70.0, 86.0, 2.0, 118.0, 78.0, 10.0, 377.0, 5.0, 1631.0, 11.0, 2148.0, 1831.0, 836.0, 1.0, 6717.0, 4.0, 3.0, 952.0, 360.0, 1007.0, 1396.0, 8.0, 3.0, 6772.0, 2757.0, 4.0, 1.0, 88.0, 3107.0, 1847.0, 1420.0, 766.0, 2.0, 350.0, 5.0, 1.0, 359.0, 80.0, 533.0, 91.0, 643.0, 31.0, 4864.0, 9.0, 53.0, 5.0, 27.0, 41.0, 139.0, 11.0, 19.0, 6.0, 29.0, 5002.0, 2.0, 424.0, 54.0, 2324.0, 7.0, 7.0, 9.0, 514.0, 16.0, 2332.0, 182.0, 346.0, 7805.0, 4.0, 1573.0, 2.0, 1725.0, 8.0, 1.0, 240.0, 4.0, 4775.0, 628.0, 8373.0, 313.0, 67.0, 460.0, 30.0, 100.0, 12.0, 9.0, 29.0, 268.0, 4416.0, 71.0, 3.0, 16.0, 54.0, 1.0, 133.0, 1231.0, 1.0, 83.0, 8242.0, 16.0, 4578.0] | [0.15147203] | 0 |
33 | 2024-11-01 18:27:00.991 | [15.0, 98.0, 4226.0, 334.0, 11.0, 6.0, 1.0, 5.0, 853.0, 54.0, 2090.0, 5.0, 1.0, 4268.0, 46.0, 1240.0, 9434.0, 1.0, 4092.0, 2.0, 1.0, 1460.0, 11.0, 13.0, 3.0, 2439.0, 139.0, 1278.0, 15.0, 1.0, 5547.0, 1206.0, 1.0, 2090.0, 4.0, 9699.0, 1571.0, 1.0, 179.0, 422.0, 30.0, 1.0, 127.0, 90.0, 54.0, 278.0, 2.0, 108.0, 81.0, 231.0, 12.0, 581.0, 336.0, 273.0, 1.0, 4418.0, 8.0, 1.0, 36.0, 1.0, 4025.0, 9434.0, 4.0, 1.0, 4099.0, 1337.0, 5.0, 328.0, 46.0, 144.0, 75.0, 4226.0, 1908.0, 4259.0, 109.0, 1.0, 246.0, 1013.0, 5.0, 328.0, 75.0, 1013.0, 228.0, 1089.0, 6989.0, 1908.0, 2043.0, 86.0, 67.0, 22.0, 25.0, 28.0, 4.0, 1.0, 830.0, 228.0, 3.0, 7267.0, 2.0, 777.0] | [0.00024122] | 0 |
34 | 2024-11-01 18:27:00.991 | [1062.0, 6037.0, 6.0, 3.0, 6486.0, 1499.0, 19.0, 1181.0, 6664.0, 2074.0, 14.0, 3.0, 182.0, 7523.0, 5402.0, 16.0, 3.0, 2305.0, 4.0, 3.0, 436.0, 3592.0, 1011.0, 2074.0, 45.0, 1030.0, 9355.0, 3.0, 1301.0, 1873.0, 1603.0, 36.0, 38.0, 3719.0, 2.0, 3115.0, 16.0, 1.0, 211.0, 3.0, 3914.0, 361.0, 2738.0, 965.0, 38.0, 1432.0, 1021.0, 1484.0, 14.0, 3.0, 945.0, 5807.0, 129.0, 490.0, 38.0, 5.0, 845.0, 8.0, 16.0, 87.0, 18.0, 56.0, 490.0, 38.0, 203.0, 831.0, 35.0, 56.0, 1099.0, 8.0, 2.0, 912.0, 535.0, 514.0, 1445.0, 2.0, 85.0, 11.0, 6.0, 3.0, 500.0, 1239.0, 186.0, 507.0, 222.0, 3.0, 989.0, 21.0, 5.0, 27.0, 255.0, 8.0, 632.0, 279.0, 135.0, 14.0, 1.0, 598.0, 96.0, 1769.0] | [0.026909858] | 0 |
35 | 2024-11-01 18:27:00.991 | [5.0, 680.0, 1742.0, 1980.0, 3.0, 1063.0, 1216.0, 353.0, 6.0, 685.0, 50.0, 5.0, 91.0, 763.0, 1302.0, 5974.0, 91.0, 1251.0, 5.0, 9910.0, 20.0, 1.0, 5797.0, 15.0, 7302.0, 1879.0, 2.0, 1.0, 1265.0, 4.0, 153.0, 34.0, 59.0, 300.0, 320.0, 8.0, 697.0, 14.0, 2016.0, 1950.0, 3242.0, 1243.0, 2.0, 7.0, 7.0, 1.0, 17.0, 407.0, 6.0, 75.0, 192.0, 5.0, 27.0, 49.0, 8033.0, 15.0, 3183.0, 2.0, 6.0, 115.0, 2396.0, 16.0, 1700.0, 36.0, 5180.0, 2.0, 1.0, 3944.0, 11.0, 6.0, 1.0, 549.0, 4.0, 17.0, 115.0, 3943.0, 5.0, 1280.0, 36.0, 1.0, 3183.0, 102.0, 139.0, 5645.0, 547.0, 1780.0, 859.0, 3745.0, 2.0, 365.0, 4.0, 2145.0, 75.0, 113.0, 134.0, 3384.0, 160.0, 535.0, 37.0, 1340.0] | [0.9066123] | 0 |
36 | 2024-11-01 18:27:00.991 | [11.0, 13.0, 28.0, 4.0, 1.0, 246.0, 99.0, 204.0, 123.0, 107.0, 8.0, 58.0, 110.0, 33.0, 298.0, 11.0, 13.0, 1.0, 1598.0, 1519.0, 5.0, 1061.0, 5.0, 29.0, 143.0, 167.0, 5.0, 132.0, 6.0, 12.0, 72.0, 63.0, 158.0, 8247.0, 30.0, 29.0, 10.0, 423.0, 262.0, 12.0, 9.0, 13.0, 162.0, 90.0, 1.0, 164.0, 141.0, 2253.0, 157.0, 5938.0, 85.0, 26.0, 188.0, 94.0, 3.0, 17.0, 1.0, 226.0, 283.0, 49.0, 9.0, 90.0, 54.0, 278.0, 2.0, 13.0, 52.0, 5918.0, 2135.0, 99.0, 23.0, 73.0, 125.0, 71.0, 11.0, 13.0, 2.0, 10.0, 13.0, 2364.0, 683.0, 5.0, 64.0, 1.0, 1017.0, 281.0, 8.0, 11.0, 75.0, 1338.0, 4.0, 3.0, 17.0, 44.0, 10.0, 97.0, 468.0, 142.0, 1.0, 954.0] | [0.0008559227] | 0 |
37 | 2024-11-01 18:27:00.991 | [86.0, 6.0, 9.0, 611.0, 5.0, 94.0, 138.0, 3.0, 75.0, 17.0, 16.0, 138.0, 153.0, 68.0, 33.0, 914.0, 80.0, 9.0, 1.0, 111.0, 45.0, 161.0, 5.0, 78.0, 16.0, 32.0, 323.0, 4.0, 86.0, 180.0, 59.0, 468.0, 43.0, 44.0, 3.0, 3008.0, 2177.0, 15.0, 2214.0, 33.0, 89.0, 57.0, 350.0, 5.0, 199.0, 32.0, 1382.0, 4.0, 12.0, 40.0, 51.0, 22.0, 194.0, 22.0, 68.0, 146.0, 3.0, 927.0, 36.0, 801.0, 20.0, 2414.0, 1.0, 83.0, 674.0, 232.0, 1.0, 17.0, 1126.0, 122.0, 1.0, 1314.0, 2.0, 80.0, 500.0, 19.0, 450.0, 41.0, 297.0, 3.0, 1219.0, 9751.0, 6191.0, 238.0, 1.0, 1984.0, 442.0, 4452.0, 3666.0, 34.0, 490.0, 5.0, 1106.0, 9.0, 53.0, 16.0, 1.0, 88.0, 4960.0, 408.0] | [0.004606515] | 0 |
38 | 2024-11-01 18:27:00.991 | [1.0, 408.0, 8.0, 1.0, 422.0, 4.0, 11.0, 730.0, 23.0, 1.0, 83.0, 408.0, 8.0, 11.0, 595.0, 753.0, 610.0, 3.0, 1668.0, 4716.0, 2107.0, 4.0, 1.0, 8.0, 58.0, 649.0, 524.0, 610.0, 58.0, 511.0, 180.0, 36.0, 1.0, 478.0, 4.0, 225.0, 2.0, 11.0, 250.0, 114.0, 1587.0, 215.0, 1.0, 61.0, 1248.0, 12.0, 163.0, 1.0, 645.0, 2020.0, 2539.0, 1038.0, 596.0, 4835.0, 5.0, 58.0, 1481.0, 596.0, 1154.0, 448.0, 1.0, 19.0, 60.0, 13.0, 1073.0, 217.0, 1093.0, 31.0, 1466.0, 1330.0, 1790.0, 34.0, 3004.0, 14.0, 1323.0, 561.0, 164.0, 2.0, 969.0, 129.0, 14.0, 1.0, 9657.0, 881.0, 596.0, 6.0, 592.0, 54.0, 821.0, 18.0, 9.0, 6.0, 79.0, 721.0, 821.0, 12.0, 9.0, 6.0, 1135.0, 2.0] | [0.045125782] | 0 |
39 | 2024-11-01 18:27:00.991 | [70.0, 86.0, 5.0, 377.0, 10.0, 216.0, 1.0, 1118.0, 289.0, 15.0, 1.0, 83.0, 55.0, 46.0, 150.0, 594.0, 2.0, 5509.0, 3.0, 2358.0, 2020.0, 10.0, 423.0, 176.0, 374.0, 135.0, 10.0, 66.0, 3.0, 75.0, 544.0, 41.0, 9.0, 147.0, 10.0, 78.0, 7.0, 7.0, 100.0, 9751.0, 15.0, 1.0, 2898.0, 15.0, 11.0, 19.0, 10.0, 216.0, 1.0, 681.0, 11.0, 19.0, 6513.0, 88.0, 5.0, 463.0, 3057.0, 536.0, 54.0, 591.0, 33.0, 158.0, 987.0, 192.0, 5.0, 5.0, 3169.0, 2.0, 10.0, 479.0, 46.0, 536.0, 3412.0, 45.0, 1146.0, 948.0, 1188.0, 7.0, 7.0, 82.0, 71.0, 12.0, 11.0, 19.0, 6.0, 337.0, 725.0, 1.0, 153.0, 23.0, 1418.0, 1433.0, 500.0, 378.0, 2.0, 57.0, 1.0, 49.0, 659.0, 23.0] | [0.06713286] | 0 |
40 | 2024-11-01 18:27:00.991 | [22.0, 235.0, 1779.0, 12.0, 1.0, 111.0, 4.0, 11.0, 17.0, 13.0, 395.0, 8.0, 1.0, 1768.0, 4.0, 1419.0, 9.0, 775.0, 14.0, 3.0, 3978.0, 8129.0, 17.0, 18.0, 8.0, 1.0, 652.0, 4.0, 1.0, 19.0, 1.0, 111.0, 1439.0, 6243.0, 51.0, 1.0, 8129.0, 502.0, 5.0, 27.0, 32.0, 1199.0, 129.0, 16.0, 24.0, 1199.0, 247.0, 2.0, 24.0, 1199.0, 9731.0, 2.0, 45.0, 5.0, 545.0, 1.0, 3411.0, 34.0, 178.0, 5.0, 468.0, 1.0, 9731.0, 177.0, 30.0, 98.0, 2315.0, 5.0, 1701.0, 3.0, 4481.0, 39.0, 139.0, 92.0, 1.0, 111.0, 1439.0, 171.0, 2.0, 72.0, 853.0, 41.0, 1.0, 3411.0, 491.0, 1.0, 1016.0, 147.0, 6.0, 1.0, 461.0, 4.0, 1.0, 969.0, 129.0, 34.0, 1288.0, 26.0, 6.0, 3.0] | [0.3861069] | 0 |
41 | 2024-11-01 18:27:00.991 | [22.0, 76.0, 32.0, 531.0, 2.0, 3.0, 317.0, 4.0, 10.0, 25.0, 5.0, 604.0, 1.0, 179.0, 202.0, 29.0, 1.0, 93.0, 28.0, 2436.0, 2.0, 3.0, 252.0, 1194.0, 8.0, 1.0, 11.0, 55.0, 26.0, 295.0, 3.0, 229.0, 34.0, 336.0, 81.0, 8.0, 1.0, 2415.0, 7525.0, 2082.0, 5.0, 3194.0, 1.0, 1106.0, 4.0, 1.0, 17.0, 26.0, 65.0, 498.0, 5.0, 604.0, 65.0, 704.0, 11.0, 25.0, 5.0, 27.0, 643.0, 10.0, 2135.0, 1151.0, 81.0, 77.0, 37.0, 9.0, 148.0, 18.0, 9.0, 6.0, 3.0, 114.0, 117.0, 1.0, 347.0, 15.0, 58.0, 1296.0, 2.0, 1.0, 28.0, 2436.0, 23.0, 63.0, 139.0, 331.0, 2.0, 10.0, 89.0, 380.0, 12.0, 8.0, 3.0, 49.0, 93.0, 100.0, 877.0, 3.0, 4668.0, 26.0] | [0.27362567] | 0 |
42 | 2024-11-01 18:27:00.991 | [15.0, 1.0, 83.0, 4209.0, 232.0, 39.0, 35.0, 6.0, 3.0, 144.0, 1739.0, 5.0, 103.0, 1.0, 102.0, 2.0, 65.0, 902.0, 23.0, 218.0, 2.0, 1.0, 1376.0, 2.0, 1981.0, 23.0, 304.0, 5.0, 165.0, 30.0, 92.0, 6404.0, 2144.0, 38.0, 489.0, 3876.0, 3505.0, 6.0, 769.0, 8908.0, 2.0, 1.0, 17.0, 514.0, 5.0, 8243.0, 2.0, 92.0, 458.0, 5981.0, 1319.0, 8.0, 91.0, 7845.0, 7.0, 7.0, 1641.0, 87.0, 135.0, 2.0, 51.0, 26.0, 644.0, 769.0, 1.0, 1390.0, 2.0, 56.0, 882.0, 1.0, 308.0, 123.0, 76.0, 3.0, 726.0, 1519.0, 60.0, 59.0, 27.0, 3.0, 224.0, 6022.0, 26.0, 4894.0, 21.0, 2904.0, 41.0, 230.0, 18.0, 195.0, 21.0, 205.0, 85.0, 72.0, 64.0, 692.0, 8.0, 1.0, 477.0, 399.0] | [0.3874004] | 0 |
43 | 2024-11-01 18:27:00.991 | [10.0, 178.0, 1.0, 3806.0, 232.0, 4.0, 58.0, 110.0, 142.0, 12.0, 13.0, 1050.0, 20.0, 11.0, 1234.0, 1338.0, 15.0, 3.0, 17.0, 1.0, 113.0, 13.0, 2993.0, 10.0, 340.0, 5.0, 27.0, 3.0, 334.0, 4.0, 4057.0, 8720.0, 2.0, 3241.0, 10.0, 77.0, 112.0, 165.0, 30.0, 95.0, 1.0, 169.0, 171.0, 8646.0, 5999.0, 2.0, 2126.0, 68.0, 21.0, 3.0, 863.0, 313.0, 691.0, 33.0, 112.0, 97.0, 508.0, 2670.0, 61.0, 2126.0, 3359.0, 32.0, 1187.0, 24.0, 1187.0, 13.0, 3.0, 1688.0, 14.0, 870.0, 10.0, 101.0, 26.0, 13.0, 342.0, 1472.0, 41.0, 1.0, 1621.0, 4.0, 1.0, 19.0, 39.0, 66.0, 112.0, 162.0, 2853.0, 5.0, 256.0, 36.0, 10.0, 437.0, 11.0, 730.0, 1523.0, 256.0, 34.0, 6.0, 41.0, 48.0] | [0.19207326] | 0 |
44 | 2024-11-01 18:27:00.991 | [1247.0, 538.0, 6.0, 32.0, 424.0, 2521.0, 1175.0, 19.0, 1103.0, 6095.0, 2550.0, 1.0, 4970.0, 16.0, 1.0, 2982.0, 1715.0, 1186.0, 2.0, 2894.0, 3.0, 452.0, 8.0, 3.0, 4092.0, 2377.0, 7.0, 7.0, 1.0, 349.0, 15.0, 11.0, 19.0, 212.0, 25.0, 74.0, 52.0, 361.0, 46.0, 4.0, 1.0, 153.0, 253.0, 2579.0, 528.0, 2.0, 1.0, 367.0, 340.0, 1052.0, 3.0, 428.0, 3219.0, 5.0, 1.0, 307.0, 4.0, 1.0, 201.0, 311.0, 4.0, 1.0, 578.0, 348.0, 60.0, 44.0, 1815.0, 45.0, 293.0, 12.0, 307.0, 77.0, 142.0, 69.0, 53.0, 12.0, 9.0, 6.0, 335.0, 7.0, 7.0, 11.0, 19.0, 13.0, 40.0, 35.0, 75.0, 47.0, 6.0, 161.0, 8.0, 1.0, 19.0, 57.0, 287.0, 146.0, 1.0, 52.0, 189.0, 10.0] | [0.14031923] | 0 |
45 | 2024-11-01 18:27:00.991 | [10.0, 66.0, 309.0, 1911.0, 15.0, 11.0, 19.0, 51.0, 10.0, 216.0, 1.0, 9609.0, 2.0, 869.0, 5.0, 103.0, 9.0, 20.0, 245.0, 31.0, 2150.0, 2009.0, 204.0, 421.0, 844.0, 1170.0, 8.0, 108.0, 99.0, 18.0, 143.0, 1590.0, 12.0, 257.0, 1.0, 82.0, 102.0, 680.0, 87.0, 1375.0, 3724.0, 149.0, 468.0, 87.0, 80.0, 57.0, 3.0, 3796.0, 4.0, 1375.0, 7.0, 7.0, 10.0, 255.0, 11.0, 17.0, 5.0, 27.0, 3.0, 597.0, 1384.0, 1.0, 225.0, 478.0, 1402.0, 800.0, 5.0, 1.0, 997.0, 8.0, 1.0, 201.0, 18.0, 9.0, 96.0, 1193.0, 5.0, 719.0, 1.0, 19.0, 53.0, 1.0, 1.0, 1270.0, 4.0, 1.0, 201.0, 1.0, 1023.0, 4.0, 1.0, 102.0, 8.0, 1.0, 201.0, 68.0, 665.0, 1009.0, 36.0, 11.0] | [0.0150666535] | 0 |
46 | 2024-11-01 18:27:00.991 | [1.0, 164.0, 11.0, 19.0, 16.0, 2560.0, 1134.0, 31.0, 5686.0, 3.0, 6167.0, 466.0, 1.0, 19.0, 172.0, 682.0, 321.0, 8.0, 11.0, 17.0, 6.0, 339.0, 208.0, 1205.0, 71.0, 9.0, 735.0, 5.0, 27.0, 22.0, 97.0, 711.0, 602.0, 43.0, 297.0, 454.0, 631.0, 4.0, 11.0, 193.0, 238.0, 454.0, 531.0, 19.0, 206.0, 28.0, 678.0, 4.0, 412.0, 28.0, 1457.0, 28.0, 1489.0, 39.0, 224.0, 4.0, 2419.0, 7.0, 7.0, 11.0, 13.0, 28.0, 4.0, 1.0, 88.0, 2170.0, 6994.0, 4.0, 19.0, 10.0, 25.0, 123.0, 107.0, 82.0, 1983.0, 25.0, 443.0, 9.0, 1944.0, 60.0, 6.0, 32.0, 7611.0, 6.0, 3928.0, 2775.0, 1154.0, 2426.0, 5.0, 27.0, 1207.0, 360.0, 35.0, 12.0, 1.0, 7045.0, 8758.0, 97.0, 65.0, 5746.0] | [0.12673128] | 0 |
47 | 2024-11-01 18:27:00.991 | [3800.0, 683.0, 1.0, 1060.0, 13.0, 547.0, 1.0, 102.0, 1295.0, 2.0, 466.0, 1.0, 19.0, 14.0, 3.0, 223.0, 40.0, 384.0, 69.0, 231.0, 1095.0, 2.0, 47.0, 13.0, 54.0, 144.0, 111.0, 12.0, 97.0, 398.0, 22.0, 7294.0, 184.0, 1.0, 19.0, 2.0, 398.0, 22.0, 925.0, 1.0, 5423.0, 407.0, 112.0, 2564.0, 98.0, 2318.0, 2.0, 158.0, 303.0, 52.0, 70.0, 148.0, 140.0, 7.0, 7.0, 47.0, 13.0, 21.0, 192.0, 1134.0, 39.0, 974.0, 5.0, 98.0, 106.0, 2.0, 106.0, 13.0, 28.0, 10.0, 7215.0, 15.0, 469.0, 45.0, 54.0, 323.0, 86.0, 5.0, 294.0, 1.0, 2.0, 6.0, 73.0, 5934.0, 14.0, 3.0, 1451.0, 106.0, 343.0, 28.0, 4.0, 58.0, 1636.0, 153.0, 8.0, 1.0, 5042.0, 384.0, 69.0, 177.0] | [0.0075387955] | 0 |
48 | 2024-11-01 18:27:00.991 | [51.0, 58.0, 1444.0, 288.0, 151.0, 1579.0, 2355.0, 30.0, 1.0, 748.0, 312.0, 11.0, 17.0, 12.0, 13.0, 29.0, 1.0, 10.0, 884.0, 12.0, 11.0, 19.0, 6.0, 3.0, 4225.0, 9.0, 13.0, 355.0, 1.0, 626.0, 528.0, 68.0, 355.0, 1.0, 528.0, 68.0, 355.0, 57.0, 1.0, 160.0, 528.0, 16.0, 104.0, 1401.0, 5668.0, 68.0, 355.0, 2.0, 725.0, 2.0, 119.0, 10.0, 757.0, 725.0, 2684.0, 297.0, 1.0, 8299.0, 18.0, 1708.0, 1243.0, 24.0, 7305.0, 4.0, 3.0, 550.0, 238.0, 1.0, 8299.0, 18.0, 1708.0, 1243.0, 2640.0, 1.0, 3879.0, 134.0, 1114.0, 3.0, 610.0, 339.0, 1.0, 7305.0, 4.0, 3.0, 550.0, 7036.0, 5.0, 602.0, 2.0, 518.0, 18.0, 1213.0, 5.0, 24.0, 366.0, 6417.0, 180.0, 43.0, 85.0, 33.0] | [0.944641] | 0 |
49 | 2024-11-01 18:27:00.991 | [11.0, 13.0, 90.0, 8.0, 12.0, 2756.0, 557.0, 570.0, 14.0, 1.0, 2078.0, 2.0, 321.0, 8.0, 58.0, 8103.0, 4.0, 159.0, 779.0, 540.0, 162.0, 11.0, 45.0, 410.0, 28.0, 4.0, 58.0, 511.0, 500.0, 917.0, 923.0, 99.0, 446.0, 249.0, 9.0, 63.0, 4391.0, 5.0, 309.0, 606.0, 18.0, 222.0, 35.0, 73.0, 5.0, 94.0, 250.0, 4.0, 460.0, 2.0, 354.0, 12.0, 9.0, 458.0, 50.0, 6861.0, 100.0, 172.0, 825.0, 7.0, 7.0, 138.0, 14.0, 7.0, 7.0, 350.0, 5.0, 166.0, 1.0, 4376.0, 197.0, 11.0, 2.0, 70.0, 607.0, 47.0, 6.0, 161.0, 4379.0, 75.0, 14.0, 11.0, 70.0, 546.0, 1663.0, 4.0, 7.0, 7.0, 6190.0, 67.0, 27.0, 1821.0, 5.0, 126.0, 3350.0, 7.0, 7.0, 984.0, 31.0, 6058.0] | [0.007553011] | 0 |
50
You should always undeploy your pipelines when you are done with them, or don’t need them for a while. This releases the resources that the pipeline is using for other processes to use. You can always redeploy the pipeline when you need it again. As a reminder, here are the commands to deploy and undeploy a pipeline:
# "turn off" the pipeline and releaase its resources
my_pipeline.undeploy()
## blank space to undeploy the pipeline
pipeline.undeploy()
name | imdb-reviewer |
---|---|
created | 2024-11-01 17:41:20.204008+00:00 |
last_updated | 2024-11-01 18:26:41.676311+00:00 |
deployed | False |
workspace_id | 11 |
workspace_name | tutorial-workspace-sentiment-analysis |
arch | x86 |
accel | none |
tags | |
versions | a84f07f6-2ad4-43c4-9ec5-c6318ea6550a, ea045efc-1cfb-4296-bece-f620cf479ed8, dc0fd017-f43f-4f00-821d-6e1a11ee88e2, a0d82d3f-14a3-4897-90b1-e4ca3e56d23c, 4024dae6-8e62-4720-8feb-c35c7224e1a7, f6287d00-b934-4ad8-9e92-cd20d544e6a5, d8d77a9d-5baa-4979-9e59-d746ce94dde2, 6a333530-d25a-4f42-9c74-97b5a96a150a |
steps | embedder |
published | False |
It worked! For a demo, we’ll take working once as “tested”. So now that we’ve tested our pipeline, we are ready to publish it for edge deployment.
Publishing it means assembling all of the configuration files and model assets and pushing them to an Open Container Initiative (OCI) repository set in the Wallaroo instance as the Edge Registry service. DevOps engineers then retrieve that image and deploy it through Docker, Kubernetes, or similar deployments.
See Edge Deployment Registry Guide for details on adding an OCI Registry Service to Wallaroo as the Edge Deployment Registry.
This is done through the SDK command wallaroo.pipeline.publish(deployment_config)
which has the following parameters and returns.
The publish
method takes the following parameters. The containerized pipeline will be pushed to the Edge registry service with the model, pipeline configurations, and other artifacts needed to deploy the pipeline.
Parameter | Type | Description |
---|---|---|
deployment_config | wallaroo.deployment_config.DeploymentConfig (Optional) | Sets the pipeline deployment configuration. For example: For more information on pipeline deployment configuration, see the Wallaroo SDK Essentials Guide: Pipeline Deployment Configuration. |
Field | Type | Description |
---|---|---|
id | integer | Numerical Wallaroo id of the published pipeline. |
pipeline version id | integer | Numerical Wallaroo id of the pipeline version published. |
status | string | The status of the pipeline publication. Values include:
|
Engine URL | string | The URL of the published pipeline engine in the edge registry. |
Pipeline URL | string | The URL of the published pipeline in the edge registry. |
Helm Chart URL | string | The URL of the helm chart for the published pipeline in the edge registry. |
Helm Chart Reference | string | The help chart reference. |
Helm Chart Version | string | The version of the Helm Chart of the published pipeline. This is also used as the Docker tag. |
Engine Config | wallaroo.deployment_config.DeploymentConfig | The pipeline configuration included with the published pipeline. |
Created At | DateTime | When the published pipeline was created. |
Updated At | DateTime | When the published pipeline was updated. |
We will now publish the pipeline to our Edge Deployment Registry with the pipeline.publish(deployment_config)
command. deployment_config
is an optional field that specifies the pipeline deployment. This can be overridden by the DevOps engineer during deployment.
In this example, assuming that the pipeline was saved to the variable my_pipeline
, we would publish it to the Edge Registry already stored in the Wallaroo instance and store the pipeline publish to the variable my_pub
with the following command:
my_pub=pipeline.publish(deploy_config)
# display the publish
my_pub
## blank space to publish the pipeline
my_pub=pipeline.publish(deploy_config)
# display the publish
my_pub
Waiting for pipeline publish... It may take up to 600 sec.
Pipeline is publishing......... Published.
<table>
<tr><td>ID</td><td>7</td></tr>
<tr><td>Pipeline Name</td><td>imdb-reviewer</td></tr>
<tr><td>Pipeline Version</td><td>58f9cd8e-81d8-4fa9-8910-1124acbd626d</td></tr>
<tr><td>Status</td><td>Published</td></tr>
<tr><td>Engine URL</td><td><a href='https://ghcr.io/wallaroolabs/doc-samples/engines/proxy/wallaroo/ghcr.io/wallaroolabs/fitzroy-mini:v2024.2.0-5761'>ghcr.io/wallaroolabs/doc-samples/engines/proxy/wallaroo/ghcr.io/wallaroolabs/fitzroy-mini:v2024.2.0-5761</a></td></tr>
<tr><td>Pipeline URL</td><td><a href='https://ghcr.io/wallaroolabs/doc-samples/pipelines/imdb-reviewer:58f9cd8e-81d8-4fa9-8910-1124acbd626d'>ghcr.io/wallaroolabs/doc-samples/pipelines/imdb-reviewer:58f9cd8e-81d8-4fa9-8910-1124acbd626d</a></td></tr>
<tr><td>Helm Chart URL</td><td>oci://<a href='https://ghcr.io/wallaroolabs/doc-samples/charts/imdb-reviewer'>ghcr.io/wallaroolabs/doc-samples/charts/imdb-reviewer</a></td></tr>
<tr><td>Helm Chart Reference</td><td>ghcr.io/wallaroolabs/doc-samples/charts@sha256:495a16dc0824316dfafb0f986d8e1ddc0ca9fdc3b9e431c78e4dc228d4461e35</td></tr>
<tr><td>Helm Chart Version</td><td>0.0.1-58f9cd8e-81d8-4fa9-8910-1124acbd626d</td></tr>
<tr><td>Engine Config</td><td>{'engine': {'resources': {'limits': {'cpu': 1.0, 'memory': '512Mi'}, 'requests': {'cpu': 1.0, 'memory': '512Mi'}, 'accel': 'none', 'arch': 'x86', 'gpu': False}}, 'engineAux': {'autoscale': {'type': 'none'}, 'images': {}}}</td></tr>
<tr><td>User Images</td><td>[]</td></tr>
<tr><td>Created By</td><td>john.hansarick@wallaroo.ai</td></tr>
<tr><td>Created At</td><td>2024-11-01 18:27:40.683702+00:00</td></tr>
<tr><td>Updated At</td><td>2024-11-01 18:27:40.683702+00:00</td></tr>
<tr><td>Replaces</td><td></td></tr>
<tr>
<td>Docker Run Command</td>
<td>
<table><tr><td>
docker run \ -p $EDGE_PORT:8080 \ -e OCI_USERNAME=$OCI_USERNAME \ -e OCI_PASSWORD=$OCI_PASSWORD \ -e PIPELINE_URL=ghcr.io/wallaroolabs/doc-samples/pipelines/imdb-reviewer:58f9cd8e-81d8-4fa9-8910-1124acbd626d \ -e CONFIG_CPUS=1 ghcr.io/wallaroolabs/doc-samples/engines/proxy/wallaroo/ghcr.io/wallaroolabs/fitzroy-mini:v2024.2.0-5761
<br />
<i>
Note: Please set the <code>EDGE_PORT</code>, <code>OCI_USERNAME</code>, and <code>OCI_PASSWORD</code> environment variables.
</i>
</td>
</tr>
<tr>
<td>Helm Install Command</td>
<td>
<table><tr><td>
helm install --atomic $HELM_INSTALL_NAME \ oci://ghcr.io/wallaroolabs/doc-samples/charts/imdb-reviewer \ --namespace $HELM_INSTALL_NAMESPACE \ --version 0.0.1-58f9cd8e-81d8-4fa9-8910-1124acbd626d \ --set ociRegistry.username=$OCI_USERNAME \ --set ociRegistry.password=$OCI_PASSWORD
<br />
<i>
Note: Please set the <code>HELM_INSTALL_NAME</code>, <code>HELM_INSTALL_NAMESPACE</code>,
<code>OCI_USERNAME</code>, and <code>OCI_PASSWORD</code> environment variables.
</i>
</td>
</tr>
</table>
The method wallaroo.client.list_pipelines()
shows a list of all pipelines in the Wallaroo instance, and includes the published
field that indicates whether the pipeline was published to the registry (True
), or has not yet been published (False
).
List all pipelines and see which ones are published or not. For example, if your client was saved to the variable wl
, then the following will list the pipelines and display which ones are published.
wl.list_pipelines()
## blank space to list the pipelines and view which are published
wl.list_pipelines()
name | created | last_updated | deployed | workspace_id | workspace_name | arch | accel | tags | versions | steps | published |
---|---|---|---|---|---|---|---|---|---|---|---|
ccfraud-detector | 2024-31-Oct 18:23:11 | 2024-31-Oct 18:37:35 | False | 10 | tutorial-finserv-john | x86 | none | 5c75bcaa-1d0d-437a-a425-533172a93112, 93a5709d-76f2-413d-b818-c6cd50767d71, 57659060-ca41-492c-811b-9ae2b368066a, cb236f0f-946a-4cc8-b52e-f1777af7b111, 72e0dbf8-d574-4888-8002-636079575534, ca121c30-8cfa-4420-8f71-bf47148d6ca3, a76ee1ea-bdee-4196-9c25-99af29abb597 | classification-finserv-prime | True | |
imdb-reviewer | 2024-29-Oct 17:06:42 | 2024-29-Oct 19:01:37 | False | 6 | tutorial-workspace-john-sentiment-analysis | x86 | none | 8b0682d5-5601-4bb5-b34f-2e8822e14e45, 78eed0bf-af64-430c-8183-069d66e91e54, 430b0a14-9b70-4c4f-964e-264d906149ee, ddfc04b1-a0a3-4524-a456-b71921de84ba, 31a95d69-2133-4c98-96bb-8069fd45abc8, 0e8ef023-1300-46b2-a341-5885ae131995, db04b467-d79d-4af5-aadd-2dae014aa7ca, 00e32b0f-bfce-4895-8a6c-9716c06245ed, 2542cba0-9ff5-46d8-9204-9e9b5327199e, 8cec1024-a9cf-4b19-b6b6-df506f92de23 | embedder | True | |
imdb-reviewer | 2024-01-Nov 17:41:20 | 2024-01-Nov 18:27:38 | False | 11 | tutorial-workspace-sentiment-analysis | x86 | none | 58f9cd8e-81d8-4fa9-8910-1124acbd626d, a84f07f6-2ad4-43c4-9ec5-c6318ea6550a, ea045efc-1cfb-4296-bece-f620cf479ed8, dc0fd017-f43f-4f00-821d-6e1a11ee88e2, a0d82d3f-14a3-4897-90b1-e4ca3e56d23c, 4024dae6-8e62-4720-8feb-c35c7224e1a7, f6287d00-b934-4ad8-9e92-cd20d544e6a5, d8d77a9d-5baa-4979-9e59-d746ce94dde2, 6a333530-d25a-4f42-9c74-97b5a96a150a | embedder | True | |
hf-summarizer | 2024-29-Oct 19:53:41 | 2024-29-Oct 20:37:39 | False | 7 | tutorial-workspace-summarization | x86 | none | bc152b34-793b-4e7e-8a81-8e4345a62bdc, e7d816a1-b458-4f91-b845-4e3b53418154, e57078b2-0190-4f55-8a6c-4cfdba2c63a6, 74db0fd3-f1b6-429c-a082-04e2aedcc4e6, e216b612-9b34-44c7-9a02-6812b2b8838d | hf-summarizer | True | |
rental-forecast | 2024-29-Oct 21:00:36 | 2024-30-Oct 21:07:35 | False | 8 | tutorial-workspace-forecast | x86 | none | 027b3811-c07e-4807-a201-caa0b22e9fb7, 7936ad28-8cc4-44e9-8002-119a773ef9c6, beca3565-bb16-41ca-83d6-cb6d9ba3514e, 585ee8cd-2f5e-4a1e-bb0d-6c88e6d94d3e, ceff9712-715b-41e6-a124-b174b62a9654, 0250f403-07c6-4b01-83bc-eebdc09bca22, 31b515bb-807f-4d64-b105-fc0ae6a582f2, 614a34e0-6024-4245-9919-1a85b7a1e5d2, 6a593faf-bea3-4f57-b9ec-5c1afe7f93a7, 4dce5be3-926c-419f-9868-3dbea7baf3c1, a601ce07-937c-436a-9735-0ac842173dfb, c0d16da5-5db7-4af1-95e4-cb0c316a4ef3, bd5eb43f-5a2b-493c-a04b-863dccccb55f, 89729096-6581-42b8-9b06-10d580d31e11, b98b86fb-5941-45b6-af5d-c33f80ba7986, aead5518-ffb2-4d18-8898-89575ba90a9f, a2a887c0-a91b-4af7-b579-506c79631fa4, b8ac836a-903b-4327-a4c9-5cc7fb382aa7, 3e18cd2d-c006-497b-a756-5ecc95aa8439, bd3f7d6a-e246-4456-98b9-35b90990b86d | forecast-control-model | True | |
ccfraud-detector | 2024-30-Oct 21:03:49 | 2024-30-Oct 21:11:18 | False | 9 | tutorial-finserv-jch | x86 | none | f0d85564-7370-4e23-9a7a-d71b7c76bd71, fce1feba-954d-4118-8e48-bdabf404502b, 53b85633-3718-40f3-bb4f-833f298ce479, 7e2ceb8b-8bfb-4484-9ceb-be373ddad059, 556952a1-771a-47fa-997e-c0852d830bac, 5d1a453b-38d2-4619-a2b0-4adfec824345, ba96ee7a-e26d-4ce6-8b00-b1bee131592c | classification-finserv-prime | False |
All publishes created from a pipeline are displayed with the wallaroo.pipeline.publishes
method. The pipeline_version_id
is used to know what version of the pipeline was used in that specific publish. This allows for pipelines to be updated over time, and newer versions to be sent and tracked to the Edge Deployment Registry service.
N/A
A List of the following fields:
Field | Type | Description |
---|---|---|
id | integer | Numerical Wallaroo id of the published pipeline. |
pipeline_version_id | integer | Numerical Wallaroo id of the pipeline version published. |
engine_url | string | The URL of the published pipeline engine in the edge registry. |
pipeline_url | string | The URL of the published pipeline in the edge registry. |
created_by | string | The email address of the user that published the pipeline. |
Created At | DateTime | When the published pipeline was created. |
Updated At | DateTime | When the published pipeline was updated. |
List all of the publishes from our pipeline. For example, if our pipeline is my_pipeline
, then we would list all publishes from the pipeline with the following:
my_pipeline.publishes()
## blank space to display publishes from this pipeline
pipeline.publishes()
id | pipeline_version_name | engine_url | pipeline_url | created_by | created_at | updated_at |
---|---|---|---|---|---|---|
7 | 58f9cd8e-81d8-4fa9-8910-1124acbd626d | ghcr.io/wallaroolabs/doc-samples/engines/proxy/wallaroo/ghcr.io/wallaroolabs/fitzroy-mini:v2024.2.0-5761 | ghcr.io/wallaroolabs/doc-samples/pipelines/imdb-reviewer:58f9cd8e-81d8-4fa9-8910-1124acbd626d | john.hansarick@wallaroo.ai | 2024-01-Nov 18:27:40 | 2024-01-Nov 18:27:40 |
You have now
Once a pipeline is deployed to the Edge Registry service, it can be deployed in environments such as Docker, Kubernetes, or similar container running services by a DevOps engineer. Docker Run and Helm Install templates are provided as part of the pipeline publish display from the Wallaroo SDK.
Once deployed, we can check the pipelines and models available. We’ll use a curl
command, but any HTTP based request will work the same way.
The endpoint /pipelines
returns:
Running
, or Error
if there are any issues.For this example, the deployment is made on a machine called testboy.local
. Replace this URL with the URL of you edge deployment.
Use the following curl
command to view the pipeline data. For example, if the pipeline was deployed on localhost
, then the command would be:
!curl locahost:8080/pipelines
## blank space to run the command - replace testboy.local with the host
!curl testboy.local:8080/pipelines
The endpoint /models
returns a List of models with the following fields:
Use the following curl
command to view the models data. For example, if the pipeline was deployed on localhost
, then the command would be:
!curl locahost:8080/models
## blank space to run the command - replace testboy.local with the host
!curl testboy.local:8080/models
The inference endpoint takes the following pattern:
/pipelines/{pipeline-name}
: The pipeline-name
is the same as returned from the /pipelines
endpoint as id
.Wallaroo inference endpoint URLs accept the following data inputs through the Content-Type
header:
Content-Type: application/vnd.apache.arrow.file
: For Apache Arrow tables.Content-Type: application/json; format=pandas-records
: For pandas DataFrame in record format.It returns a application/json; format=pandas-records
- the same pandas record we’ve been working with.
Perform an inference on the deployed pipeline using curl
. This command will look like this:
!curl -X POST localhost:8080/infer -H "Content-Type: application/json; format=pandas-records" --data @../data/singleton.df.json
## blank space to run sample inference from edge deployment
!curl -X POST testboy.local:8080/infer -H "Content-Type: application/json; format=pandas-records" --data @../data/test_data.df.json