{"id":14426,"library":"apitools","title":"Apitools","description":"Apitools (version 0.1.4) is a Python library designed to assist with JSON schema validation and interaction with REST APIs. It provides utilities for defining and validating data against JSON schemas and for creating client proxies for API interactions. The library has not seen updates since 2016, indicating it is no longer actively maintained.","status":"abandoned","version":"0.1.4","language":"en","source_language":"en","source_url":"https://github.com/hamstah/apitools","tags":["api","json-schema","rest","validation","abandoned"],"install":[{"cmd":"pip install apitools","lang":"bash","label":"Install stable version"}],"dependencies":[{"reason":"Core dependency for JSON schema validation.","package":"jsonschema","optional":false},{"reason":"Used for HTTP client functionality in API interactions.","package":"requests","optional":false}],"imports":[{"symbol":"Schema","correct":"from apitools.jsonschema import Schema"},{"symbol":"validate","correct":"from apitools.jsonschema import validate"},{"symbol":"Dataproxy","correct":"from apitools.dataproxy import Dataproxy"},{"symbol":"Client","correct":"from apitools.client import Client"}],"quickstart":{"code":"from apitools.jsonschema import Schema, validate\nfrom apitools.dataproxy import Dataproxy\n\n# Define a simple JSON schema\nmy_schema = Schema({\n    \"type\": \"object\",\n    \"properties\": {\n        \"name\": {\"type\": \"string\"},\n        \"age\": {\"type\": \"integer\", \"minimum\": 0}\n    },\n    \"required\": [\"name\", \"age\"]\n})\n\n# Validate data against the schema\nvalid_data = {\"name\": \"Alice\", \"age\": 30}\ninvalid_data = {\"name\": \"Bob\", \"age\": -5} # age cannot be negative\n\ntry:\n    validate(valid_data, my_schema)\n    print(\"Valid data:\", valid_data)\nexcept Exception as e:\n    print(\"Validation error for valid_data (should not happen):\", e)\n\ntry:\n    validate(invalid_data, my_schema)\n    print(\"Validation attempt for invalid_data:\", invalid_data)\nexcept Exception as e:\n    print(\"Validation error for invalid_data (expected):\", e)\n    # Expected: -5 is less than the minimum of 0\n\n# Using Dataproxy for schema-aware data access\nproxy_data = Dataproxy(valid_data, my_schema)\nprint(f\"Proxy Name: {proxy_data.name}\")\nprint(f\"Proxy Age: {proxy_data.age}\")\n\n# Trying to set an invalid value (will raise ValidationError)\ntry:\n    proxy_data.age = -10\nexcept Exception as e:\n    print(\"Attempt to set invalid age via Dataproxy failed as expected:\", e)","lang":"python","description":"This example demonstrates defining a JSON schema, validating data against it using `apitools.jsonschema.validate`, and using `apitools.dataproxy.Dataproxy` for schema-aware access and validation when modifying data."},"warnings":[{"fix":"Use a isolated virtual environment with specific `jsonschema<3` or pin `jsonschema==2.5.1` if using `apitools`. Consider migrating to an actively maintained library for JSON schema validation.","message":"Apitools has a strict dependency on an old version of `jsonschema` (`>=2.5.1`). This is incompatible with modern `jsonschema` versions (4.x+), which have significant API and behavioral changes. Installing `apitools` in an environment with a newer `jsonschema` will likely lead to dependency conflicts or runtime errors.","severity":"breaking","affected_versions":"0.1.x"},{"fix":"Be aware that using this library in new projects carries significant risk. Consider modern, actively maintained alternatives for JSON schema validation and API client generation.","message":"The `apitools` library is abandoned; its last release was in 2016 and there have been no code updates since 2021. It is not maintained, meaning no bug fixes, security patches, or compatibility updates for newer Python versions or libraries will be provided.","severity":"gotcha","affected_versions":"0.1.x"},{"fix":"Test thoroughly in your target Python environment. It is recommended to use `apitools` only in legacy environments (Python 3.6 or older) where it was originally designed to run.","message":"Due to its age and lack of maintenance, `apitools` is unlikely to be fully compatible with recent Python versions (e.g., Python 3.8+). While it targets Python 2 and early Python 3, specific language features or dependency changes in newer Python versions may cause unexpected errors.","severity":"gotcha","affected_versions":"0.1.x"}],"env_vars":null,"last_verified":"2026-04-17T00:00:00.000Z","next_check":"2026-07-16T00:00:00.000Z","problems":[{"fix":"Review your data against the `Schema` definition. Ensure all `required` fields are present and data types/values match the schema constraints.","cause":"Data provided for validation does not conform to the defined JSON schema. This can be due to missing required properties, incorrect data types, or values outside specified constraints (e.g., `minimum`, `maxLength`).","error":"jsonschema.exceptions.ValidationError: ... is not valid under any of the given schemas"},{"fix":"Verify `apitools` is installed (`pip show apitools`). Ensure the import path is exact, e.g., `from apitools.jsonschema import Schema`.","cause":"You are trying to import a symbol from an incorrect module path, or the `apitools` library is not correctly installed or accessible in your Python environment.","error":"ImportError: cannot import name 'Schema' from 'apitools.jsonschema' (or similar for other symbols)"},{"fix":"Check your JSON schema definition to ensure `some_property` is correctly defined under `properties`. `Dataproxy` strictly enforces schema-defined attributes.","cause":"You are trying to access a property on a `Dataproxy` object that is not defined in the JSON schema it was initialized with, or it's a misspelling.","error":"AttributeError: 'Dataproxy' object has no attribute 'some_property'"},{"fix":"Ensure all data fields expected to be non-null are indeed populated with appropriate values before validation or `Dataproxy` usage. Add 'null' to the `type` array in your schema if `None` is an allowed value for a property (e.g., `\"type\": [\"string\", \"null\"]`).","cause":"This error often occurs in older validation libraries like `jsonschema` 2.x when a schema expects a specific type (e.g., `integer`) but receives `None`, and a comparison operation (like `minimum` check) is attempted.","error":"TypeError: '<' not supported between instances of 'NoneType' and 'int'"}],"ecosystem":"pypi"}