lambda part 02

content/classes/07-lambda/lambda_practicing.md

@@ -124,7 +124,7 @@ with open("my_lambda.zip", "rb") as f:
 
 lambda_response = lambda_client.create_function(
  FunctionName=function_name,
- Runtime="python3.9",
+ Runtime="python3.10",
  Role=lambda_role_arn,
  Handler="my_lambda.say_hello", # Python file DOT handler function
  Code={"ZipFile": zip_to_deploy},

content/classes/07-lambda/sa_lambda_function.md

@@ -2,6 +2,83 @@
 
 Let's create a lambda function that uses the `textblob` library to return the polarity of a text.
 
+But first, let's configure the AWS CLI so we have another way to interact with our resources created in AWS.
+
+## AWS CLI - Command Line Interface
+
+### Install
+
+[**Click Here**](https://docs.aws.amazon.com/cli/latest/userguide/getting-started-install.html) to install AWS CLI.
+
+### Configure
+
+Configure the region and credentials provided by the professor.
+
+<div class="termy">
+
+ ```console
+ $ aws configure --profile mlops
+ AWS Access Key ID [None]: ????????????
+ AWS Secret Access Key [None]: ????????????????????????????????
+ Default region name [None]: us-east-2
+ Default output format [None]: 
+ ```
+
+</div>
+<br>
+
+### Set profile
+
+To set a default profile, use:
+
+=== "Linux"
+
+ <div class="termy">
+
+ ```console
+ $ export AWS_PROFILE=mlops
+ ```
+
+ </div>
+ <br>
+
+=== "Windows CMD (Command Prompt)"
+
+ <div class="termy">
+
+ ```console
+ $ export AWS_PROFILE=mlops
+ ```
+
+ </div>
+ <br>
+
+=== "Windows PowerShell"
+
+ <div class="termy">
+
+ ```console
+ $ env:AWS_PROFILE = "mlops"
+ ```
+
+ </div>
+ <br>
+
+### Example: list Lambda functions
+
+You can now use the AWS CLI to create, list, or remove resources. For example, to list the names of lambda functions:
+
+<div class="termy">
+
+ ```console
+ $ aws lambda list-functions --query "Functions[*].FunctionName" --output text
+ ```
+
+</div>
+<br>
+
+From here on, you can research how to do with the AWS CLI what we did with `boto3` library.
+
 ## Create source code
 
 !!! exercise "Question"

content/classes/07-lambda/sentiment_analysis.md

@@ -15,7 +15,7 @@ Looking back at the examples we did, they involved a [*function that returned a
 
 Let's use this class to build more complex examples using AWS Lambda!
 
-!!! progress "Click to continue"
+<!-- !!! progress "Click to continue" -->
 
 ## Sentiment Analysis
 
@@ -106,4 +106,5 @@ print(f"Polarity of text3: {blob3.polarity}")
 !!! tip "Tip!"
  Here it is the repository of textblob: https://github.com/sloria/textblob
 
-Run this code locally and test it with other sentences. Then proceed to the next topic.
+!!! exercise "Question"
+ Run this code locally and test it with other sentences. Then proceed to the next topic.

mkdocs.yml

@@ -53,10 +53,10 @@ nav:
  - classes/07-lambda/aws_lambda.md
  - classes/07-lambda/lambda_practicing.md
  - classes/07-lambda/api_gateway.md
- #  - "Part 2":
- #  - classes/07-lambda/sentiment_analysis.md
- #  - classes/07-lambda/sa_lambda_function.md
- #  - classes/07-lambda/lambda_layer.md
+ - "Part 2":
+ - classes/07-lambda/sentiment_analysis.md
+ - classes/07-lambda/sa_lambda_function.md
+ - classes/07-lambda/lambda_layer.md
  # - "Part 3":
  # - classes/07-lambda/lambda_quotas.md
  # - classes/07-lambda/lambda_and_docker.md