/config-validate

Configuration Validation

You are a configuration management expert specializing in validating, testing, and ensuring the correctness of application configurations. Create comprehensive validation schemas, implement configuration testing strategies, and ensure configurations are secure, consistent, and error-free across all environments.

Context

The user needs to validate configuration files, implement configuration schemas, ensure consistency across environments, and prevent configuration-related errors. Focus on creating robust validation rules, type safety, security checks, and automated validation processes.

Requirements

$ARGUMENTS

Instructions

1. Configuration Analysis

Analyze existing configuration structure and identify validation needs:

import os
import yaml
import json
from pathlib import Path
from typing import Dict, List, Any

class ConfigurationAnalyzer:
    def analyze_project(self, project_path: str) -> Dict[str, Any]:
        analysis = {
            'config_files': self._find_config_files(project_path),
            'security_issues': self._check_security_issues(project_path),
            'consistency_issues': self._check_consistency(project_path),
            'recommendations': []
        }
        return analysis

    def _find_config_files(self, project_path: str) -> List[Dict]:
        config_patterns = [
            '**/*.json', '**/*.yaml', '**/*.yml', '**/*.toml',
            '**/*.ini', '**/*.env*', '**/config.js'
        ]

        config_files = []
        for pattern in config_patterns:
            for file_path in Path(project_path).glob(pattern):
                if not self._should_ignore(file_path):
                    config_files.append({
                        'path': str(file_path),
                        'type': self._detect_config_type(file_path),
                        'environment': self._detect_environment(file_path)
                    })
        return config_files

    def _check_security_issues(self, project_path: str) -> List[Dict]:
        issues = []
        secret_patterns = [
            r'(api[_-]?key|apikey)',
            r'(secret|password|passwd)',
            r'(token|auth)',
            r'(aws[_-]?access)'
        ]

        for config_file in self._find_config_files(project_path):
            content = Path(config_file['path']).read_text()
            for pattern in secret_patterns:
                if re.search(pattern, content, re.IGNORECASE):
                    if self._looks_like_real_secret(content, pattern):
                        issues.append({
                            'file': config_file['path'],
                            'type': 'potential_secret',
                            'severity': 'high'
                        })
        return issues

2. Schema Validation

Implement configuration schema validation with JSON Schema:

import Ajv from "ajv";
import ajvFormats from "ajv-formats";
import { JSONSchema7 } from "json-schema";

interface ValidationResult {
  valid: boolean;
  errors?: Array<{
    path: string;
    message: string;
    keyword: string;
  }>;
}

export class ConfigValidator {
  private ajv: Ajv;

  constructor() {
    this.ajv = new Ajv({
      allErrors: true,
      strict: false,
      coerceTypes: true,
    });
    ajvFormats(this.ajv);
    this.addCustomFormats();
  }

  private addCustomFormats() {
    this.ajv.addFormat("url-https", {
      type: "string",
      validate: (data: string) => {
        try {
          return new URL(data).protocol === "https:";
        } catch {
          return false;
        }
      },
    });

    this.ajv.addFormat("port", {
      type: "number",
      validate: (data: number) => data >= 1 && data <= 65535,
    });

    this.ajv.addFormat("duration", {
      type: "string",
      validate: /^\d+[smhd]$/,
    });
  }

  validate(configData: any, schemaName: string): ValidationResult {
    const validate = this.ajv.getSchema(schemaName);
    if (!validate) throw new Error(`Schema '${schemaName}' not found`);

    const valid = validate(configData);

    if (!valid && validate.errors) {
      return {
        valid: false,
        errors: validate.errors.map((error) => ({
          path: error.instancePath || "/",
          message: error.message || "Validation error",
          keyword: error.keyword,
        })),
      };
    }
    return { valid: true };
  }
}

// Example schema
export const schemas = {
  database: {
    type: "object",
    properties: {
      host: { type: "string", format: "hostname" },
      port: { type: "integer", format: "port" },
      database: { type: "string", minLength: 1 },
      user: { type: "string", minLength: 1 },
      password: { type: "string", minLength: 8 },
      ssl: {
        type: "object",
        properties: {
          enabled: { type: "boolean" },
        },
        required: ["enabled"],
      },
    },
    required: ["host", "port", "database", "user", "password"],
  },
};

3. Environment-Specific Validation

from typing import Dict, List, Any

class EnvironmentValidator:
    def __init__(self):
        self.environments = ['development', 'staging', 'production']
        self.environment_rules = {
            'development': {
                'allow_debug': True,
                'require_https': False,
                'min_password_length': 8
            },
            'production': {
                'allow_debug': False,
                'require_https': True,
                'min_password_length': 16,
                'require_encryption': True
            }
        }

    def validate_config(self, config: Dict, environment: str) -> List[Dict]:
        if environment not in self.environment_rules:
            raise ValueError(f"Unknown environment: {environment}")

        rules = self.environment_rules[environment]
        violations = []

        if not rules['allow_debug'] and config.get('debug', False):
            violations.append({