If you’re looking to transform data directly in the action inputs editor, check out Tracecat inline functions.
Data transforms allow you to filter, reshape, and manipulate data within your workflows. Tracecat supports the following transform actions:
  • core.transform.reshape: Reshape and manipulate data.
  • core.transform.filter: Filter a list of items.
  • core.transform.is_in: Check if an item is in a list.
  • core.transform.not_in: Check if an item is not in a list.
  • core.transform.deduplicate: Deduplicate a JSON object or a list of JSON objects given a list of keys.
  • core.transform.apply: Apply a python_lambda function to a value.
  • core.transform.map: Apply a python_lambda function to each item in a list.

​
Deduplicate

Deduplicate a list of JSON objects given a list of keys. Examples 
# Deduplicate alerts by ID - keeps only the most recent alert with the same ID
items: [
  {"id": 1, "name": "Suspicious Login", "status": "New"},
  {"id": 2, "name": "Malware Detected", "status": "New"},
  {"id": 1, "name": "Suspicious Login", "status": "Updated"},
]
keys: ["id"]

# Result:
# [
#   {"id": 1, "name": "Suspicious Login", "status": "Updated"},
#   {"id": 2, "name": "Malware Detected", "status": "New"},
# ]

​
Python Lambda

Some transform actions (e.g. core.transform.filter, core.transform.map) accept an input called python_lambda. python_lambda is a Python Lambda function given as a string. It allows you to use small snippets of Python code to transform data and define conditions.
Python lambda functions are small anonymous functions that are used to define simple functions that are passed to other functions. You can learn more about them here.
lambda x: x["name"] == "John"
It can be hard to escape special characters in YAML. Werecommend using python_lambda with the >- and > YAML block modifiers to avoid these issues:
# ✅ Do this:
python_lambda: >-
  lambda x: x["name"] == "John"

# ❌ This will fail:
python_lambda: "lambda x: x["name"] == "John""

​
Filter

Filter a list of items given a Python lambda function. This function should return a truthy or falsy value. 
items: [{"name": "John", "age": 30}, {"name": "Jane", "age": 25}]
python_lambda: >-
  lambda x: x['age'] > 25

​
Apply

Apply a Python lambda function to a value. 
value: {"name": "John", "age": 30}
python_lambda: >-
  lambda x: x['name'] == 'John'

​
Map

Apply a Python lambda function to each item in a list. 
items: [{"name": "John", "age": 30}, {"name": "Jane", "age": 25}]
python_lambda: >-
  lambda x: x['name']