docs: set tabs for yaml/json to 2 spaces

docs/core/logger.md

@@ -30,14 +30,14 @@ Setting | Description | Environment variable | Constructor parameter
 ```yaml hl_lines="9 10"
 Resources:
  HelloWorldFunction:
- Type: AWS::Serverless::Function
- Properties:
- ...
- Runtime: python3.8
- Environment:
- Variables:
- LOG_LEVEL: INFO
- POWERTOOLS_SERVICE_NAME: example
+Type: AWS::Serverless::Function
+Properties:
+...
+Runtime: python3.8
+Environment:
+ Variables:
+LOG_LEVEL: INFO
+POWERTOOLS_SERVICE_NAME: example
 ```
 === "app.py"
 ```python hl_lines="2 4"
@@ -86,35 +86,35 @@ You can enrich your structured logs with key Lambda context information via `inj
 === "Example CloudWatch Logs excerpt"
 
  ```json hl_lines="6-10 26-27"
- {
- "timestamp":"2020-05-24 18:17:33,774",
- "level":"INFO",
- "location":"collect.handler:1",
- "service":"payment",
- "lambda_function_name":"test",
-  "lambda_function_memory_size": 128,
- "lambda_function_arn":"arn:aws:lambda:eu-west-1:12345678910:function:test",
- "lambda_request_id":"52fdfc07-2182-154f-163f-5f0f9a621d72",
-  "cold_start": true,
-  "sampling_rate": 0.0,
-  "message": "Collecting payment"
- },
- {
- "timestamp":"2020-05-24 18:17:33,774",
- "level":"INFO",
- "location":"collect.handler:15",
- "service":"payment",
- "lambda_function_name":"test",
-  "lambda_function_memory_size": 128,
- "lambda_function_arn":"arn:aws:lambda:eu-west-1:12345678910:function:test",
- "lambda_request_id":"52fdfc07-2182-154f-163f-5f0f9a621d72",
-  "cold_start": true,
-  "sampling_rate": 0.0,
- "message":{
- "operation":"collect_payment",
- "charge_id": "ch_AZFlk2345C0"
-  }
- }
+{
+ "timestamp": "2020-05-24 18:17:33,774",
+ "level": "INFO",
+ "location": "collect.handler:1",
+ "service": "payment",
+ "lambda_function_name": "test",
+ "lambda_function_memory_size": 128,
+ "lambda_function_arn": "arn:aws:lambda:eu-west-1:12345678910:function:test",
+ "lambda_request_id": "52fdfc07-2182-154f-163f-5f0f9a621d72",
+ "cold_start": true,
+ "sampling_rate": 0.0,
+ "message": "Collecting payment"
+},
+{
+ "timestamp": "2020-05-24 18:17:33,774",
+ "level": "INFO",
+ "location": "collect.handler:15",
+ "service": "payment",
+ "lambda_function_name": "test",
+ "lambda_function_memory_size": 128,
+ "lambda_function_arn": "arn:aws:lambda:eu-west-1:12345678910:function:test",
+ "lambda_request_id": "52fdfc07-2182-154f-163f-5f0f9a621d72",
+ "cold_start": true,
+ "sampling_rate": 0.0,
+ "message": {
+"operation": "collect_payment",
+"charge_id": "ch_AZFlk2345C0"
+ }
+}
  ```
 
 When used, this will include the following keys:
@@ -173,15 +173,15 @@ You can append your own keys to your existing Logger via `structure_logs(append=
 === "Example CloudWatch Logs excerpt"
 
  ```json hl_lines="7"
- {
-  "timestamp": "2020-05-24 18:17:33,774",
-  "level": "INFO",
-  "location": "collect.handler:1",
-  "service": "payment",
-  "sampling_rate": 0.0,
-  "order_id": "order_id_value",
-  "message": "Collecting payment"
- }
+{
+ "timestamp": "2020-05-24 18:17:33,774",
+ "level": "INFO",
+ "location": "collect.handler:1",
+ "service": "payment",
+ "sampling_rate": 0.0,
+ "order_id": "order_id_value",
+ "message": "Collecting payment"
+}
  ```
 
 !!! tip "Logger will automatically reject any key with a None value"
@@ -209,15 +209,15 @@ It accepts any dictionary, and all keyword arguments will be added as part of th
 === "Example CloudWatch Logs excerpt"
 
  ```json hl_lines="7"
- {
-  "timestamp": "2021-01-12 14:08:12,357",
-  "level": "INFO",
-  "location": "collect.handler:1",
-  "service": "payment",
-  "sampling_rate": 0.0,
-  "request_id": "1123",
-  "message": "Collecting payment"
- }
+{
+ "timestamp": "2021-01-12 14:08:12,357",
+ "level": "INFO",
+ "location": "collect.handler:1",
+ "service": "payment",
+ "sampling_rate": 0.0,
+ "request_id": "1123",
+ "message": "Collecting payment"
+}
  ```
 
 ## Advanced

docs/core/metrics.md

@@ -43,15 +43,15 @@ Setting | Description | Environment variable | Constructor parameter
 
  ```yaml hl_lines="9 10"
  Resources:
-  HelloWorldFunction:
- Type: AWS::Serverless::Function
- Properties:
- ...
- Runtime: python3.8
- Environment:
-  Variables:
-  POWERTOOLS_SERVICE_NAME: payment
-  POWERTOOLS_METRICS_NAMESPACE: ServerlessAirline
+ HelloWorldFunction:
+ Type: AWS::Serverless::Function
+ Properties:
+ ...
+ Runtime: python3.8
+ Environment:
+ Variables:
+ POWERTOOLS_SERVICE_NAME: payment
+ POWERTOOLS_METRICS_NAMESPACE: ServerlessAirline
  ```
 
 
@@ -120,29 +120,29 @@ This decorator also **validates**, **serializes**, and **flushes** all your metr
 === "Example CloudWatch Logs excerpt"
 
  ```json hl_lines="2 7 10 15 22"
- {
-  "BookingConfirmation": 1.0,
-  "_aws": {
- "Timestamp": 1592234975665,
- "CloudWatchMetrics": [
-  {
- "Namespace": "ExampleApplication",
- "Dimensions": [
-  [
- "service"
-  ]
- ],
- "Metrics": [
-  {
- "Name": "BookingConfirmation",
- "Unit": "Count"
-  }
- ]
-  }
- ]
-  },
-  "service": "ExampleService"
- }
+{
+ "BookingConfirmation": 1.0,
+ "_aws": {
+"Timestamp": 1592234975665,
+"CloudWatchMetrics": [
+ {
+"Namespace": "ExampleApplication",
+"Dimensions": [
+ [
+"service"
+ ]
+],
+"Metrics": [
+ {
+"Name": "BookingConfirmation",
+"Unit": "Count"
+ }
+]
+ }
+]
+ },
+ "service": "ExampleService"
+}
  ```
 
 !!! tip "Metric validation"
@@ -239,30 +239,30 @@ You can add high-cardinality data as part of your Metrics log with `add_metadata
 === "Example CloudWatch Logs excerpt"
 
  ```json hl_lines="23"
- {
-  "SuccessfulBooking": 1.0,
-  "_aws": {
- "Timestamp": 1592234975665,
- "CloudWatchMetrics": [
-  {
- "Namespace": "ExampleApplication",
- "Dimensions": [
-  [
- "service"
-  ]
- ],
- "Metrics": [
-  {
- "Name": "SuccessfulBooking",
- "Unit": "Count"
-  }
- ]
-  }
- ]
-  },
-  "service": "booking",
-  "booking_id": "booking_uuid"
- }
+{
+ "SuccessfulBooking": 1.0,
+ "_aws": {
+"Timestamp": 1592234975665,
+"CloudWatchMetrics": [
+ {
+"Namespace": "ExampleApplication",
+"Dimensions": [
+ [
+"service"
+ ]
+],
+"Metrics": [
+ {
+"Name": "SuccessfulBooking",
+"Unit": "Count"
+ }
+]
+ }
+]
+ },
+ "service": "booking",
+ "booking_id": "booking_uuid"
+}
  ```
 
 ### Single metric with a different dimension

docs/core/tracer.md

@@ -29,12 +29,12 @@ Before your use this utility, your AWS Lambda function [must have permissions](h
  HelloWorldFunction:
  Type: AWS::Serverless::Function
  Properties:
-...
-Runtime: python3.8
-Tracing: Active
-Environment:
- Variables:
-POWERTOOLS_SERVICE_NAME: example
+ ...
+ Runtime: python3.8
+ Tracing: Active
+ Environment:
+  Variables:
+ POWERTOOLS_SERVICE_NAME: example
  ```
 
 ### Lambda handler

docs/utilities/validation.md

@@ -116,14 +116,14 @@ Here is a sample custom EventBridge event, where we only validate what's inside
 
  ```json hl_lines="9"
  {
-  "id": "cdc73f9d-aea9-11e3-9d5a-835b769c0d9c",
-  "detail-type": "Scheduled Event",
-  "source": "aws.events",
-  "account": "123456789012",
-  "time": "1970-01-01T00:00:00Z",
-  "region": "us-east-1",
-  "resources": ["arn:aws:events:us-east-1:123456789012:rule/ExampleRule"],
-  "detail": {"message": "hello hello", "username": "blah blah"}
+ "id": "cdc73f9d-aea9-11e3-9d5a-835b769c0d9c",
+ "detail-type": "Scheduled Event",
+ "source": "aws.events",
+ "account": "123456789012",
+ "time": "1970-01-01T00:00:00Z",
+ "region": "us-east-1",
+ "resources": ["arn:aws:events:us-east-1:123456789012:rule/ExampleRule"],
+ "detail": {"message": "hello hello", "username": "blah blah"}
  }
  ```