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Minor bug fixes and updates to project starter code. #10

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Minor bug fixes and updates to project starter code. #10

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6ba1375
feat: Add matplotlib inline magic
FadyMorris Jan 21, 2023
e482dee
fix: The second and the third lambda returned events
FadyMorris Jan 21, 2023
907e3bc
fix: Make the events have a consistent key order.
FadyMorris Jan 21, 2023
8816142
fix: Fix extraction of model monitor `data_capture`
FadyMorris Jan 21, 2023
5579968
Merge branch 'udacity:master' into master
FadyMorris Aug 5, 2023
bbc646e
fix: Wrap the event body in `json.dumps()`
FadyMorris Aug 5, 2023
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40 changes: 26 additions & 14 deletions project/starter.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -196,6 +196,15 @@
"))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": null,
Expand Down Expand Up @@ -751,20 +760,20 @@
"\n",
"```python\n",
"{\n",
" \"inferences\": [], # Output of predictor.predict\n",
" \"s3_key\": \"\", # Source data S3 key\n",
" \"s3_bucket\": \"\", # Source data S3 bucket\n",
" \"image_data\": \"\" # base64 encoded string containing the image data\n",
" \"s3_key\": \"\", # Source data S3 key\n",
" \"image_data\": \"\", # base64 encoded string containing the image data\n",
" \"inferences\": [] # Output of predictor.predict\n",
"}\n",
"```\n",
"\n",
"A good test object that you can use for Lambda tests and Step Function executions, throughout the next section, might look like this:\n",
"\n",
"```python\n",
"{\n",
" \"image_data\": \"\",\n",
" \"s3_bucket\": MY_BUCKET_NAME, # Fill in with your bucket\n",
" \"s3_key\": \"test/bicycle_s_000513.png\"\n",
" \"s3_key\": \"test/bicycle_s_000513.png\",\n",
" \"image_data\": \"\"\n",
"}\n",
"```\n",
"\n",
Expand Down Expand Up @@ -798,9 +807,9 @@
" return {\n",
" 'statusCode': 200,\n",
" 'body': {\n",
" \"image_data\": image_data,\n",
" \"s3_bucket\": bucket,\n",
" \"s3_key\": key,\n",
" \"image_data\": image_data,\n",
" \"inferences\": []\n",
" }\n",
" }\n",
Expand Down Expand Up @@ -836,10 +845,10 @@
" inferences = ## TODO: fill in\n",
" \n",
" # We return the data back to the Step Function \n",
" event[\"inferences\"] = inferences.decode('utf-8')\n",
" event[\"body\"][\"inferences\"] = inferences.decode('utf-8')\n",
" return {\n",
" 'statusCode': 200,\n",
" 'body': json.dumps(event)\n",
" 'body': json.dumps(event[\"body\"])\n",
" }\n",
"```\n",
"\n",
Expand Down Expand Up @@ -869,7 +878,7 @@
"\n",
" return {\n",
" 'statusCode': 200,\n",
" 'body': json.dumps(event)\n",
" 'body': json.dumps(event[\"body\"])\n",
" }\n",
"```\n",
"Once you have tested the lambda functions, save the code for each lambda function in a python script called 'lambda.py'.\n",
Expand Down Expand Up @@ -988,12 +997,15 @@
"import os\n",
"\n",
"# List the file names we downloaded\n",
"file_handles = os.listdir(\"./captured_data\")\n",
"file_handles = []\n",
"for root, subFolders, files in os.walk(\"./captured_data\"):\n",
" if files:\n",
" file_handles += [root + '/' + file for file in files]\n",
"\n",
"# Dump all the data into an array\n",
"json_data = []\n",
"for jsonl in file_handles:\n",
" with jsonlines.open(f\"./captured_data/{jsonl}\") as f:\n",
" with jsonlines.open(jsonl) as f:\n",
" json_data.append(f.read())"
]
},
Expand Down Expand Up @@ -1084,9 +1096,9 @@
"metadata": {
"instance_type": "ml.t3.medium",
"kernelspec": {
"display_name": "Python 3 (Data Science)",
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-east-1:081325390199:image/datascience-1.0"
"name": "python3"
},
"language_info": {
"codemirror_mode": {
Expand All @@ -1098,7 +1110,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.10"
"version": "3.7.6"
}
},
"nbformat": 4,
Expand Down