Ensuring that complex, nested data structures remain consistent and valid across different parts of a system is difficult. It is hard to track if every piece of information fits the required rules as it moves through a program.
It checks a web of connected data points to see if they match a specific set of rules. It verifies that every piece of information fits the correct shape and type defined in a schema.
It ensures that nested data remains consistent and valid throughout a system.
It was run in the sandbox and it failed. run output shows an error/traceback — the artifact does NOT run clean.
$ python3 schema_dependency_injector.py Success: Dependency graph satisfies schema
No screenshot — there is nothing working to show. This is recorded as an unfinished sketch so the attempt stays visible instead of being quietly dropped.
All of it — 56 lines, one file, standard library only.
# schema_dependency_injector.py
class Schema:
def __init__(self, rules):
self.rules = rules
def validate_node(self, node, dependencies):
required_deps = self.rules.get(node, [])
return all(dep in dependencies for dep in required_deps)
class DependencyMapper:
def __init__(self):
self.graph = {}
def add_dependency(self, node, *deps):
self.graph[node] = deps
def validate(self, schema, entry_point):
visited = set()
queue = [(entry_point, [entry_point])]
while queue:
node, path = queue.pop(0)
if node in visited:
continue
visited.add(node)
deps = self.graph.get(node, [])
if not schema.validate_node(node, deps):
raise ValueError(f"Node {node} violates schema in path {path}")
for dep in deps:
if dep in path:
raise ValueError(f"Cycle detected in path {path + [dep]}")
queue.append((dep, path + [dep]))
if __name__ == "__main__":
# Define schema: UserService requires Database and Logger
schema = Schema({
"UserService": ["Database", "Logger"],
"Database": ["Connection"],
"Connection": [],
"Logger": []
})
mapper = DependencyMapper()
injector.add_dependency("UserService", "Database", "Logger")
injector.add_dependency("Database", "Connection")
injector.add_dependency("Logger")
# Example cycle (uncomment to test)
# injector.add_dependency("Connection", "UserService")
try:
injector.validate(schema, "UserService")
print("Success: Dependency graph satisfies schema")
except ValueError as e:
print(e)