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danielperezzdanielperezz
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add missing notebook
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‎steps/src/verify_schema/verify_schema.ipynb‎

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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "cfd2162d-0f64-4a9d-a36b-01c05a05c6cc",
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"metadata": {},
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"source": [
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"# Verify Schema Step Demo\n",
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"This notebook walks through a simple example of using the verify-schema step in serving functions, by first downloading the step from the hub and inpecting it, then including the step in the function in two different approaches."
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]
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},
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{
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"cell_type": "markdown",
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"id": "cc1eb162-f52b-4012-a5c8-07a2259bb7f7",
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"metadata": {},
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"source": [
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"## Get the step from the hub"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "d814bd50-4eac-4cb4-9eec-9f1b104df85e",
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"metadata": {},
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"outputs": [],
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"source": [
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"import mlrun"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "c6cd12de-1818-4e23-988e-6ede4837cd24",
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"metadata": {},
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"outputs": [],
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"source": [
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"hub_step = mlrun.get_hub_step(\"hub://verify_schema\")"
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]
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},
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{
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"cell_type": "markdown",
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"id": "0a565753-b7da-409a-807d-d77e1ec98517",
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"metadata": {},
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"source": [
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"Now the file has been downloaded to our current working directory (provide `local_path` paramater to change this default destination), and we can edit it directly. \n",
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"\n",
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"We can also inspect the `hub_stpe` object:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "37ba4e3b-e337-4651-ba60-69724b00d3eb",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{'filename': 'verify_schema.py',\n",
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" 'example': 'verify_schema.ipynb',\n",
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" 'local_path': PosixPath('/User'),\n",
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" 'url': 'hub://verify_schema',\n",
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" 'class_name': 'VerifySchema',\n",
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" 'name': 'verify_schema',\n",
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" 'version': '1.0.0',\n",
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" 'categories': ['data-preparation', 'model-serving', 'utilities'],\n",
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" 'description': 'Verifies the event is aligned with the provided schema'}"
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]
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},
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"execution_count": 5,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"hub_step.to_dict()"
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]
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},
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{
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"cell_type": "markdown",
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"id": "8f702135-5dff-4355-bc5c-da9146b3eff7",
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"metadata": {},
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"source": [
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"## Use custom step in a function"
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]
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},
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{
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"cell_type": "markdown",
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"id": "73ed3007-f40f-4da8-a3a7-cd9933491322",
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"metadata": {},
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"source": [
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"When we are done with editing the step code, we are ready to use it in a function, as any other custom step:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"id": "9f26755e-5053-4103-9fcd-86bf839f6402",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"> 2025-12-31 09:00:01,987 [info] Project loaded successfully: {\"project_name\":\"verify-schema-step-demo\"}\n"
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]
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}
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],
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"source": [
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"project = mlrun.get_or_create_project(\"verify-schema-step-demo\",'./verify-schema-step-demo')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"id": "20a3cd67-b266-4b2d-9016-2139a2ab7f53",
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"metadata": {},
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"outputs": [],
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"source": [
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"fn = project.set_function(hub_step.get_src_file_path(), name=\"serving-fn\", kind=\"serving\", image = \"mlrun/mlrun\" )\n",
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"graph = fn.set_topology(\"flow\", engine=\"async\")\n",
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"schema = [\"id\", \"height\", \"weight\"]\n",
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"graph.to(class_name=\"VerifySchema\", name=\"verify\", schema=schema)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"id": "8b63efcf-22b0-482b-853c-a4991814693b",
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"metadata": {},
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"outputs": [],
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"source": [
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"project.deploy_function(fn)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"id": "443a9138-e1b1-41e0-8a60-dc28f2680af9",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{'id': '3425', 'height': 157, 'weight': 58}"
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]
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},
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"execution_count": 11,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"serving_fn = project.get_function(\"serving-fn\")\n",
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"event = {\n",
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" \"id\": \"3425\",\n",
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" \"height\": 157,\n",
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" \"weight\": 58\n",
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"}\n",
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"serving_fn.invoke(\"/\", body=event)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "4933f6c7-6442-4756-812c-fd5a257ee540",
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"metadata": {},
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"source": [
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"Or try to raise an error:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"id": "98b8ff5a-783c-414c-bca7-eb5efe702b70",
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"metadata": {},
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"outputs": [],
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"source": [
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"event = {\n",
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" \"id\": \"3425\",\n",
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" \"height\": 157\n",
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"}\n",
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"serving_fn.invoke(\"/\", body=event)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "83182c10-223c-473d-a17a-2ddc94dd0821",
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"metadata": {},
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"source": [
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"## Add step directly from the hub\n",
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"In case you don't need to make any changes to the step code, you can add the step directly from the hub: "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"id": "7ce84cdc-8a32-4db9-aa73-171a622d1617",
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"metadata": {},
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"outputs": [],
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"source": [
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"graph.add_step(class_name=\"hub://verify_schema\", name=\"verify-2\", schema=schema).respond()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 14,
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"id": "16ff979d-67e3-40c6-93de-aacd50b80fc1",
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"metadata": {},
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"outputs": [],
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"source": [
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"project.deploy_function(fn)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 15,
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"id": "bf83904c-7be3-4eaa-9564-386bd7ebe77b",
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"metadata": {},
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"outputs": [],
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"execution_count": null,
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"source": "",
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"id": "556b36b9b89d0515"
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"source": [
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"event = {\n",
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" \"id\": \"3425\",\n",
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" \"height\": 157,\n",
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" \"weight\": 58\n",
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"}\n",
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"serving_fn.invoke(\"/\", body=event)"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"display_name": "mlrun-base-py311",
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"language": "python",
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"name": "python3"
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"name": "conda-env-mlrun-base-py311-py"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 2
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.6"
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"pygments_lexer": "ipython3",
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"version": "3.11.12"
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}
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},
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"nbformat": 4,

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