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Validation Patterns by tomevault-io

Name: Validation Patterns
Author: tomevault-io

Validation Patterns

Validation patterns and compliance checking for Kailash SDK including parameter validation, DataFlow pattern validation, connection validation, absolute import validation, workflow structure validation, and security validation. Use when asking about 'validation', 'validate', 'check compliance', 'verify', 'lint', 'code review', 'parameter validation', 'connection validation', 'import validation', 'security validation', or 'workflow validation'. Use when this capability is needed.

tomevault-io 81640f7 2 files · 4.7 KB Updated Sep 17, 2026

File contents

Kailash Validation Patterns

Validation patterns and compliance checking for Kailash SDK development.

Sub-File Index

Core Validations

validate-parameters - Node parameter validation
- Required params, type checking, value ranges, format, defaults
validate-connections - Connection validation
- 4-parameter format, node existence, param name matching, type compatibility, circular dependency detection
validate-workflow-structure - Workflow validation
- Node ID uniqueness, dead-end detection, entry/exit point validation

Framework-Specific Validations

validate-dataflow-patterns - DataFlow compliance
- Result access: results["node_id"]["result"] (not .result)
- String ID preservation, multi-instance isolation, transaction patterns
validate-absolute-imports - Import validation
- Absolute vs relative, module path correctness, circular/missing import detection
validate-security - Security checks
- Secret exposure, SQL/code injection, file path traversal, API key handling

Quick Reference

What Each Validation Catches

Validation	Catches	Key Pattern
Parameters	Missing/wrong-type params	Check before `workflow.build()`
Connections	Wrong 4-param format, nonexistent nodes	`(src_id, src_param, tgt_id, tgt_param)`
Workflow	Duplicate IDs, dead-ends, no entry point	Structural integrity
DataFlow	`.result` access, UUID conversion	`results["id"]["result"]`
Imports	Relative imports, circular deps	Absolute imports only
Security	Hardcoded secrets, SQL injection	Env vars, parameterized queries

Automated Validation

from kailash.validation import WorkflowValidator

validator = WorkflowValidator(workflow)
results = validator.validate_all()

if not results.is_valid:
    for error in results.errors:
        print(f"Error: {error}")

Pre-Execution Checklist

All required parameters provided
All connections use 4-parameter format
No missing or duplicate node IDs
Called .build() before execute
Using correct runtime type

CI Integration

python -m kailash.validation.cli validate-all
python -m kailash.validation.cli check-security

Validation Rules

Always validate parameters before execution, connections before building, security before deployment, imports before commit
Never skip parameter validation, connection validation, security validation

Related Skills

17-gold-standards - Compliance standards
31-error-troubleshooting - Error troubleshooting
01-core-sdk - Core patterns
02-dataflow - DataFlow patterns

Support

gold-standards-validator - Compliance checking
pattern-expert - Pattern validation
testing-specialist - Test validation

Converted and distributed by TomeVault — claim your Tome and manage your conversions.

---name: validation-patternsdescription: Validation patterns and compliance checking for Kailash SDK including parameter validation, DataFlow pattern validation, connection validation, absolute import validation, workflow structure validation, and security validation. Use when asking about 'validation', 'validate', 'check compliance', 'verify', 'lint', 'code review', 'parameter validation', 'connection validation', 'import validation', 'security validation', or 'workflow validation'. Use when this capability is needed.---# Kailash Validation PatternsValidation patterns and compliance checking for Kailash SDK development.## Sub-File Index### Core Validations- **[validate-parameters](validate-parameters.md)** - Node parameter validation - Required params, type checking, value ranges, format, defaults- **[validate-connections](validate-connections.md)** - Connection validation - 4-parameter format, node existence, param name matching, type compatibility, circular dependency detection- **[validate-workflow-structure](validate-workflow-structure.md)** - Workflow validation - Node ID uniqueness, dead-end detection, entry/exit point validation### Framework-Specific Validations- **[validate-dataflow-patterns](validate-dataflow-patterns.md)** - DataFlow compliance - Result access: `results["node_id"]["result"]` (not `.result`) - String ID preservation, multi-instance isolation, transaction patterns- **[validate-absolute-imports](validate-absolute-imports.md)** - Import validation - Absolute vs relative, module path correctness, circular/missing import detection- **[validate-security](validate-security.md)** - Security checks - Secret exposure, SQL/code injection, file path traversal, API key handling## Quick Reference### What Each Validation Catches| Validation | Catches | Key Pattern || ----------- | ---------------------------------------- | ---------------------------------------- || Parameters | Missing/wrong-type params | Check before `workflow.build()` || Connections | Wrong 4-param format, nonexistent nodes | `(src_id, src_param, tgt_id, tgt_param)` || Workflow | Duplicate IDs, dead-ends, no entry point | Structural integrity || DataFlow | `.result` access, UUID conversion | `results["id"]["result"]` || Imports | Relative imports, circular deps | Absolute imports only || Security | Hardcoded secrets, SQL injection | Env vars, parameterized queries |### Automated Validation```pythonfrom kailash.validation import WorkflowValidatorvalidator = WorkflowValidator(workflow)results = validator.validate_all()if not results.is_valid: for error in results.errors: print(f"Error: {error}")```### Pre-Execution Checklist- All required parameters provided- All connections use 4-parameter format- No missing or duplicate node IDs- Called `.build()` before execute- Using correct runtime type### CI Integration```bashpython -m kailash.validation.cli validate-allpython -m kailash.validation.cli check-security```## Validation Rules- **Always validate** parameters before execution, connections before building, security before deployment, imports before commit- **Never skip** parameter validation, connection validation, security validation## Related Skills- **[17-gold-standards](../17-gold-standards/SKILL.md)** - Compliance standards- **[31-error-troubleshooting](../31-error-troubleshooting/SKILL.md)** - Error troubleshooting- **[01-core-sdk](../01-core-sdk/SKILL.md)** - Core patterns- **[02-dataflow](../02-dataflow/SKILL.md)** - DataFlow patterns## Support- `gold-standards-validator` - Compliance checking- `pattern-expert` - Pattern validation- `testing-specialist` - Test validation---> Converted and distributed by [TomeVault](https://tomevault.io/claim/integrum-global) — claim your Tome and manage your conversions.

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