Web-based Rule Engine with AST

I'm looking for a developer to create a simple 3-tier web application Objective: Develop a simple 3-tier rule engine application(Simple UI, API and Backend, Data) to determine user eligibility based on attributes like age, department, income, spend [login to view URL] system can use Abstract Syntax Tree (AST) to represent conditional rules and allow for dynamic creation,combination, and modification of these rules. Data Structure: ● Define a data structure to represent the AST. ● The data structure should allow rule changes ● E,g One data structure could be Node with following fields ○ type: String indicating the node type ("operator" for AND/OR, "operand" for conditions) ○ left: Reference to another Node (left child) ○ right: Reference to another Node (right child for operators) ○ value: Optional value for operand nodes (e.g., number for comparisons) Data Storage ● Define the choice of database for storing the above rules and application metadata ● Define the schema with samples. Sample Rules: ● rule1 = "((age > 30 AND department = 'Sales') OR (age < 25 AND department = 'Marketing')) AND (salary > 50000 OR experience > 5)" ● rule2 = "((age > 30 AND department = 'Marketing')) AND (salary > 20000 OR experience > 5)" API Design: 1. create_rule(rule_string): This function takes a string representing a rule (as shown in the examples) and returns a Node object representing the corresponding AST. 2. combine_rules(rules): This function takes a list of rule strings and combines them into a single AST. It should consider efficiency and minimize redundant checks. You can explore different strategies (e.g., most frequent operator heuristic). The function should return the root node of the combined AST. 3. evaluate_rule(JSON data): This function takes a JSON representing the combined rule's AST and a dictionary data containing attributes (e.g., data = {"age": 35, "department": "Sales", "salary": 60000, "experience": 3}). The function should evaluate the rule against the provided data and return True if the user is of that cohort based on the rule, False otherwise. Test Cases: 1. Create individual rules from the examples using create_rule and verify their AST representation. 2. Combine the example rules using combine_rules and ensure the resulting AST reflects the combined logic. 3. Implement sample JSON data and test evaluate_rule for different scenarios. 4. Explore combining additional rules and test the functionality.