Validate API Response Data Points

MediumPython

Problem

In a Capgemini API testing workflow, an automated check must verify selected data points in a JSON response. Implement a function that confirms every requested path exists and contains the expected value, including values nested inside dictionaries and lists.

Formal Specification

Write validate_response(response, checks).

response is a JSON-compatible Python object containing dictionaries, lists, strings, numbers, booleans, or None.
checks is a list of dictionaries. Each dictionary contains:
- path: a non-empty list of string dictionary keys or integer list indexes.
- expected: the required value at that path.
Return True only when every path exists and its value equals expected with the same Python type. For example, True must not match 1.
Return False if a path is missing, an index is invalid, an intermediate value has the wrong container type, or any value does not match.
An empty checks list is valid and should return True.

Constraints

0 <= len(checks) <= 10^4
1 <= len(path) <= 50 for every check
Each path segment is a string key or a non-negative integer list index
The response contains at most 10^5 total JSON nodes
Values must match both by type and by value

Function Signature

def validate_response(response, checks):

Formal Specification

Write validate_response(response, checks).

response is a JSON-compatible Python object containing dictionaries, lists, strings, numbers, booleans, or None.
checks is a list of dictionaries. Each dictionary contains:
- path: a non-empty list of string dictionary keys or integer list indexes.
- expected: the required value at that path.
Return True only when every path exists and its value equals expected with the same Python type. For example, True must not match 1.
Return False if a path is missing, an index is invalid, an intermediate value has the wrong container type, or any value does not match.
An empty checks list is valid and should return True.