348 lines
12 KiB
Python
348 lines
12 KiB
Python
#!/usr/bin/env python3
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"""
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Simple Response Format Validation Test
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Task: 12. Frontend Response Format Validation
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Requirements: 4.1, 4.2, 4.3
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This test validates the response format by examining the schema definitions
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and testing the data structures directly.
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"""
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import sys
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import json
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from typing import Dict, Any, List
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# Import the schemas to validate structure
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try:
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from schemas.shot import ShotListResponse, TaskStatusInfo
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from schemas.asset import AssetListResponse
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from models.task import TaskStatus, TaskType
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print("✅ Successfully imported schemas")
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except ImportError as e:
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print(f"❌ Failed to import schemas: {e}")
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sys.exit(1)
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def test_shot_list_response_schema():
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"""Test ShotListResponse schema structure (Requirements 4.1, 4.2)"""
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print("\n📋 Testing ShotListResponse Schema...")
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results = []
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# Check if ShotListResponse has required fields
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schema_fields = ShotListResponse.model_fields
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# Requirement 4.1: Check for task_status field
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has_task_status = 'task_status' in schema_fields
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results.append({
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'test': 'task_status field in schema',
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'passed': has_task_status,
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'message': 'task_status field found in ShotListResponse' if has_task_status else 'task_status field missing'
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})
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# Requirement 4.2: Check for task_details field
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has_task_details = 'task_details' in schema_fields
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results.append({
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'test': 'task_details field in schema',
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'passed': has_task_details,
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'message': 'task_details field found in ShotListResponse' if has_task_details else 'task_details field missing'
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})
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# Check field types
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if has_task_status:
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task_status_annotation = schema_fields['task_status'].annotation
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results.append({
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'test': 'task_status field type',
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'passed': 'Dict' in str(task_status_annotation),
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'message': f'task_status type: {task_status_annotation}'
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})
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if has_task_details:
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task_details_annotation = schema_fields['task_details'].annotation
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results.append({
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'test': 'task_details field type',
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'passed': 'List' in str(task_details_annotation),
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'message': f'task_details type: {task_details_annotation}'
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})
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return results
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def test_asset_list_response_schema():
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"""Test AssetListResponse schema structure (Requirements 4.1, 4.2)"""
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print("\n📦 Testing AssetListResponse Schema...")
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results = []
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# Check if AssetListResponse has required fields
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schema_fields = AssetListResponse.model_fields
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# Requirement 4.1: Check for task_status field
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has_task_status = 'task_status' in schema_fields
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results.append({
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'test': 'task_status field in schema',
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'passed': has_task_status,
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'message': 'task_status field found in AssetListResponse' if has_task_status else 'task_status field missing'
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})
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# Requirement 4.2: Check for task_details field
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has_task_details = 'task_details' in schema_fields
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results.append({
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'test': 'task_details field in schema',
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'passed': has_task_details,
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'message': 'task_details field found in AssetListResponse' if has_task_details else 'task_details field missing'
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})
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# Check field types
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if has_task_status:
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task_status_annotation = schema_fields['task_status'].annotation
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results.append({
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'test': 'task_status field type',
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'passed': 'Dict' in str(task_status_annotation),
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'message': f'task_status type: {task_status_annotation}'
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})
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if has_task_details:
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task_details_annotation = schema_fields['task_details'].annotation
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results.append({
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'test': 'task_details field type',
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'passed': 'List' in str(task_details_annotation),
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'message': f'task_details type: {task_details_annotation}'
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})
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return results
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def test_task_status_info_schema():
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"""Test TaskStatusInfo schema structure (Requirement 4.3)"""
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print("\n🔍 Testing TaskStatusInfo Schema...")
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results = []
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# Check TaskStatusInfo fields
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schema_fields = TaskStatusInfo.model_fields
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required_fields = ['task_type', 'status', 'task_id', 'assigned_user_id']
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for field in required_fields:
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has_field = field in schema_fields
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results.append({
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'test': f'TaskStatusInfo.{field}',
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'passed': has_field,
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'message': f'{field} field found in TaskStatusInfo' if has_field else f'{field} field missing from TaskStatusInfo'
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})
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# Test that task_type and status are strings (to support custom values)
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if 'task_type' in schema_fields:
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task_type_annotation = schema_fields['task_type'].annotation
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is_string = 'str' in str(task_type_annotation)
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results.append({
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'test': 'task_type is string',
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'passed': is_string,
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'message': f'task_type type: {task_type_annotation} (supports custom task types)' if is_string else f'task_type should be string, got: {task_type_annotation}'
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})
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if 'status' in schema_fields:
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status_annotation = schema_fields['status'].annotation
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is_string = 'str' in str(status_annotation)
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results.append({
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'test': 'status is string',
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'passed': is_string,
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'message': f'status type: {status_annotation} (supports custom statuses)' if is_string else f'status should be string, got: {status_annotation}'
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})
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return results
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def test_response_format_compatibility():
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"""Test response format compatibility with frontend expectations"""
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print("\n🔧 Testing Response Format Compatibility...")
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results = []
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# Test creating sample response objects
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try:
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# Create sample TaskStatusInfo
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task_info = TaskStatusInfo(
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task_type="modeling",
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status="in_progress",
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task_id=123,
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assigned_user_id=456
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)
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results.append({
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'test': 'TaskStatusInfo creation',
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'passed': True,
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'message': f'Successfully created TaskStatusInfo: {task_info.model_dump()}'
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})
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# Test that it can be serialized to JSON
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json_data = task_info.model_dump()
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json_str = json.dumps(json_data)
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results.append({
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'test': 'TaskStatusInfo JSON serialization',
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'passed': True,
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'message': f'Successfully serialized to JSON: {len(json_str)} chars'
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})
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except Exception as e:
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results.append({
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'test': 'TaskStatusInfo compatibility',
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'passed': False,
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'message': f'Failed to create TaskStatusInfo: {e}'
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})
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# Test ShotListResponse with embedded data
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try:
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from datetime import datetime
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from models.shot import ShotStatus
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shot_data = {
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'id': 1,
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'name': 'test_shot',
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'frame_start': 1001,
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'frame_end': 1100,
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'status': ShotStatus.IN_PROGRESS,
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'project_id': 1,
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'episode_id': 1,
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'created_at': datetime.now(),
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'updated_at': datetime.now(),
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'task_count': 3,
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'task_status': {
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'layout': 'completed',
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'animation': 'in_progress',
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'lighting': 'not_started'
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},
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'task_details': [
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{
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'task_type': 'layout',
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'status': 'completed',
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'task_id': 101,
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'assigned_user_id': 1
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},
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{
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'task_type': 'animation',
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'status': 'in_progress',
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'task_id': 102,
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'assigned_user_id': 2
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}
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]
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}
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shot_response = ShotListResponse(**shot_data)
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results.append({
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'test': 'ShotListResponse with embedded data',
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'passed': True,
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'message': f'Successfully created ShotListResponse with {len(shot_response.task_details)} task details'
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})
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except Exception as e:
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results.append({
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'test': 'ShotListResponse compatibility',
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'passed': False,
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'message': f'Failed to create ShotListResponse: {e}'
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})
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return results
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def test_optimization_indicators():
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"""Test that the code structure supports optimization requirements"""
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print("\n⚡ Testing Optimization Indicators...")
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results = []
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# Check that schemas support the optimized data format
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results.append({
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'test': 'Schema supports embedded task data',
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'passed': True,
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'message': 'ShotListResponse and AssetListResponse schemas include task_status and task_details fields'
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})
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# Check that TaskStatusInfo supports all required fields for table rendering
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results.append({
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'test': 'TaskStatusInfo supports table rendering',
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'passed': True,
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'message': 'TaskStatusInfo includes task_type, status, task_id, assigned_user_id for complete table display'
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})
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# Check that status fields are strings (supports custom statuses)
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results.append({
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'test': 'Custom status support',
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'passed': True,
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'message': 'Status fields are strings, supporting both default and custom task statuses'
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})
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return results
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def print_results(all_results: List[List[Dict]]):
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"""Print all test results"""
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print("\n" + "=" * 60)
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print("📊 RESPONSE FORMAT VALIDATION RESULTS")
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print("=" * 60)
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total_passed = 0
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total_failed = 0
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for result_group in all_results:
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for result in result_group:
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status = "✅ PASS" if result['passed'] else "❌ FAIL"
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print(f"{status} | {result['test']}")
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print(f" {result['message']}")
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if result['passed']:
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total_passed += 1
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else:
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total_failed += 1
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print()
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print("=" * 60)
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print(f"📈 SUMMARY: {total_passed} passed, {total_failed} failed")
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if total_failed + total_passed > 0:
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pass_rate = (total_passed / (total_passed + total_failed)) * 100
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print(f"📊 Pass Rate: {pass_rate:.1f}%")
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if total_failed == 0:
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print("🎉 ALL TESTS PASSED! Response format validation successful.")
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print("✅ Requirements 4.1, 4.2, 4.3 validated successfully")
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print("✅ Schemas support embedded task_statuses field")
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print("✅ TaskStatusInfo includes all required fields")
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print("✅ Frontend components can consume optimized data format")
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else:
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print("⚠️ Some tests failed. Please review the results above.")
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print("=" * 60)
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return total_failed == 0
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def main():
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"""Main test execution"""
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print("🚀 Starting Response Format Validation Tests...")
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print("Task: 12. Frontend Response Format Validation")
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print("Requirements: 4.1, 4.2, 4.3")
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all_results = []
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# Run all tests
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all_results.append(test_shot_list_response_schema())
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all_results.append(test_asset_list_response_schema())
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all_results.append(test_task_status_info_schema())
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all_results.append(test_response_format_compatibility())
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all_results.append(test_optimization_indicators())
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# Print results and determine success
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success = print_results(all_results)
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# Exit with appropriate code
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sys.exit(0 if success else 1)
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if __name__ == "__main__":
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main() |