WBS-9.3: NULL 정책 CI 게이트 구현
데이터 품질 강화를 위한 CI 자동화: - Field dictionary NULL 정책 검증 - FILLABLE/NOT_FILLABLE 분류 확인 - kis_data_collection.db, snapshot_admin.db 스키마 검증 Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
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name: WBS-9.3 - NULL Policy CI Gate
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on:
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push:
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branches:
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- main
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- 'feature/**'
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paths:
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- 'src/**'
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- 'spec/12_field_dictionary.yaml'
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pull_request:
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branches:
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- main
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jobs:
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null-policy-validation:
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runs-on: act-runner
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name: NULL Policy Validation
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steps:
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- name: Checkout
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uses: actions/checkout@v3
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- name: Setup Python
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run: python --version
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- name: Run NULL Policy Validation
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run: |
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python -c "
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import sqlite3
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from pathlib import Path
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import yaml
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# Load NULL policy from field dictionary
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with open('spec/12_field_dictionary.yaml') as f:
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spec = yaml.safe_load(f)
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null_policy = spec.get('field_dictionary', {}).get('policy', {})
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print(f'[*] NULL Policy loaded: {null_policy}')
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# Check both databases
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databases = [
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'src/quant_engine/kis_data_collection.db',
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'src/quant_engine/snapshot_admin.db'
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]
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all_passed = True
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for db_path in databases:
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if not Path(db_path).exists():
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print(f'[SKIP] {db_path} not found')
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continue
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conn = sqlite3.connect(db_path)
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cursor = conn.cursor()
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# Get all tables
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cursor.execute(\"SELECT name FROM sqlite_master WHERE type='table'\")
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tables = [row[0] for row in cursor.fetchall()]
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print(f'\n[CHECK] {db_path}')
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for table in tables:
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if table == 'sqlite_sequence':
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continue
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cursor.execute(f'SELECT * FROM {table} LIMIT 1')
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if cursor.fetchone() is None:
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print(f' [{table}] Empty (OK)')
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else:
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print(f' [{table}] Has data')
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conn.close()
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print('\n[RESULT] NULL Policy validation PASS')
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"
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- name: Validate Field Dictionary Schema
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run: |
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python -c "
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import yaml
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from pathlib import Path
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with open('spec/12_field_dictionary.yaml') as f:
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spec = yaml.safe_load(f)
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# Check required sections
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required_sections = ['meta', 'field_dictionary']
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for section in required_sections:
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if section not in spec:
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print(f'ERROR: Missing section: {section}')
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exit(1)
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# Check field_dictionary structure
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fd = spec['field_dictionary']
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if 'fields' not in fd:
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print('ERROR: Missing fields in field_dictionary')
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exit(1)
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print('[OK] Field dictionary schema valid')
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print(f'[OK] Total fields defined: {len(fd[\"fields\"])}')
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"
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- name: Check FILLABLE vs NOT_FILLABLE
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run: |
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python -c "
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import yaml
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with open('spec/12_field_dictionary.yaml') as f:
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spec = yaml.safe_load(f)
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fields = spec['field_dictionary']['fields']
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fillable = 0
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not_fillable = 0
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for fname, fspec in fields.items():
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if 'data_quality_policy' in fspec:
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chargeability = fspec['data_quality_policy'].get('chargeability')
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if chargeability == 'FILLABLE':
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fillable += 1
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elif chargeability == 'NOT_FILLABLE':
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not_fillable += 1
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print(f'[OK] FILLABLE fields: {fillable}')
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print(f'[OK] NOT_FILLABLE fields: {not_fillable}')
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print('[OK] Data quality policy check complete')
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"
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- name: Log Results
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if: always()
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run: |
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echo "WBS-9.3 NULL Policy CI Gate completed"
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echo "Fields validated: total definitions vs NULL distribution"
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