Дата: 2025-12-22
Статус: ✅ ЗАВЕРШЕНО
Версия архитектуры: 1.0.0
Успешно завершена миграция на новую 4-уровневую архитектуру платформы с полной инвентаризацией данных и спецификацией сервисов.
/opt/claude-workspace/
│
├── L3-INFRA/ [Infrastructure Layer]
│ ├── database-engines/
│ │ └── postgresql-001/
│ │ └── index.yaml ← PostgreSQL instance (91.218.142.168)
│ ├── storage/object/s3/hub/
│ │ └── index.yaml ← S3 storage (Beget)
│ ├── compute/containers/docker/
│ │ └── index.yaml ← Docker runtime
│ └── README.md ← L3-INFRA documentation
│
├── L2-DATA/ [Data Layer]
│ ├── connections/
│ │ ├── bu-piro-db.yaml ← PostgreSQL connection (53 tables)
│ │ ├── bu-piro-s3.yaml ← S3 storage connection
│ │ └── platform-nocodb-db.yaml ← NocoDB metadata connection
│ ├── schemas/pim/
│ │ ├── TABLES_COMPLETE.yaml ← Full schema with metadata
│ │ ├── tables.yaml ← DDL schema
│ │ ├── relations.yaml ← Table relationships
│ │ └── README.md ← Schema documentation (v2.1.0)
│ ├── processors/
│ │ ├── price-parser/index.yaml ← Excel price parser (ETL)
│ │ └── 1c-sync/index.yaml ← 1C synchronization (ETL)
│ └── README.md ← L2-DATA documentation
│
├── L0-ORG/ [Organization Layer]
│ ├── business-units/
│ │ └── pirotehnika/
│ │ ├── business-unit.yaml ← Business unit definition
│ │ └── services/
│ │ └── pim/
│ │ ├── service.yaml ← PIM service specification
│ │ └── README.md ← PIM service documentation
│ ├── platform/
│ │ └── applications/
│ │ └── nocodb/
│ │ └── application.yaml ← NocoDB platform app
│ └── README.md ← L0-ORG documentation
│
├── ARCHITECTURE_OVERVIEW.md ← Complete architecture guide
├── MIGRATION_COMPLETE_REPORT.md ← This report
│
└── projects/pirotehnika/ [Legacy - Preserved]
└── DATA_COMPLETE_INVENTORY.md ← Full data inventory (53 tables)
Created:
- PostgreSQL instance definition
- Host: 91.218.142.168:5432
- Schemas: bu_piro, platform_nocodb
Paths: /business-units/pirotehnika/, /platform/
Docker runtime definition
Documentation:
- /L3-INFRA/README.md
- Individual resource specifications
Connections created (3):
bu-piro-db (PostgreSQL)
- Schema: pt7k98pv0fwi1el
- Tables: 53 (documented)
- Records: ~25,000
bu-piro-s3 (S3 Storage)
- Paths: prices/, images/, exports/
- Formats: xlsx, csv, jpg, png
platform-nocodb-db (PostgreSQL)
- Schema: platform_nocodb
- Purpose: NocoDB metadata
Schemas created (1):
PIM Schema (v2.1.0):
- 1c_products (4,626) - Catalog from 1C WITHOUT prices
- pim_products (1,042) - Products WITH prices and brands
- pim_pirotehnika (762) - Pyrotechnics characteristics
- pim_cost_rules (5) - Pricing rules by brand
- pim_sku_mappings (2,050) - SKU mappings to marketplaces
- pim_bundle_items (0) - Bundle composition
Processors created (2):
price-parser
- Input: Excel files from S3
- Output: pim_products table
- Logic: Parse, normalize, apply discounts, upsert
1c-sync
- Input: 1C OData API
- Output: 1c_products table
- Schedule: Every 6 hours
- Direction: 1C → NocoDB (1C is source of truth)
Documentation:
- /L2-DATA/README.md
- /L2-DATA/schemas/pim/README.md (v2.1.0)
Business Units created (1):
pirotehnika
- Owner: pirotehnika-ops team
- Services: 1 (pim)
- Data: pt7k98pv0fwi1el schema
- Integrations: 1C, OZON, Wildberries (planned), Yandex.Market (planned)
Services created (1):
PIM Service (Product Information Management)
Functions (30+):
- Products: get, list, create, update, delete, search
- Characteristics: get, update, set_flags
- Pricing: calculate_cost_price, get_rules, update_price, get_history
- Mappings: map_sku, get_mappings, sync_marketplace
- Bundles: create_bundle, add_item, calculate_cost
- Import/Export: import_price, export_to_1c, export_to_marketplace
CLI Interface:
pim products list --brand JF-Pyro --limit 10
pim products get <article>
pim products search <query>
pim chars get <article>
pim chars update <article> --caliber 1.0 --shots 100
pim pricing calc <article>
pim pricing rules
pim import price <file> --supplier JF
pim export 1c --format xml
pim sync 1c --direction import
pim sync ozon --account O1
REST API:
GET /api/v1/pim/products
GET /api/v1/pim/products/{article}
POST /api/v1/pim/products
PUT /api/v1/pim/products/{article}
GET /api/v1/pim/products/{article}/characteristics
PUT /api/v1/pim/products/{article}/characteristics
GET /api/v1/pim/products/{article}/pricing
POST /api/v1/pim/products/{article}/pricing/calculate
GET /api/v1/pim/products/{article}/mappings
POST /api/v1/pim/products/{article}/mappings
POST /api/v1/pim/import/price-list
GET /api/v1/pim/export/1c
Connectors:
- IN: 1c-sync, price-parser, drupal-pim, site-scrapers
- OUT: 1c-export, ozon-sync, marketplace-export
Documentation:
- /L0-ORG/README.md
- /L0-ORG/business-units/pirotehnika/services/pim/README.md
Applications created (1):
NocoDB
- Type: Platform-wide database UI
- Version: 0.258.9
- URL: http://docs.0kt.ru:8085
- Workspaces: 1 (pt7k98pv0fwi1el - pirotehnika)
- Users: 3
- Tables managed: 53
Features:
- Database UI (tables, forms, galleries, kanban)
- Auto-generated REST API
- Webhooks
- Multi-workspace support
Documentation:
- /L0-ORG/platform/applications/nocodb/application.yaml
Complete inventory conducted:
- Total tables: 53
- Total records: ~25,000
- Categories: 11 (Products, Prices, Orders, Analytics, Mappings, etc.)
Key findings:
PIM Core Tables:
- 1c_products: 4,626 records (from 1C, NO prices)
- pim_products: 1,042 records (WITH prices)
- pim_pirotehnika: 762 records (characteristics)
Data Coverage:
- Products with photos: 27.8% (1,561 out of 5,614)
- Products with photos in Hub: 12.9% (728)
- Salutes with caliber: 91% (693 out of 762)
- Products with video: ~40%
Data Sources:
- 1C OData API
- OZON Seller API
- Excel price lists (10 suppliers)
- Drupal PIM REST API
- Website scrapers
- Manual input
Documentation:
- /projects/pirotehnika/DATA_COMPLETE_INVENTORY.md
Created documentation (20+ files):
Architecture:
- ARCHITECTURE_OVERVIEW.md - Complete platform architecture guide
- MIGRATION_COMPLETE_REPORT.md - This report
L3-INFRA:
- README.md
- postgresql-001/index.yaml
- s3/hub/index.yaml
- docker/index.yaml
L2-DATA:
- README.md
- 3 connection definitions (.yaml)
- schemas/pim/README.md (v2.1.0)
- schemas/pim/TABLES_COMPLETE.yaml
- schemas/pim/tables.yaml
- schemas/pim/relations.yaml
- 2 processor definitions (.yaml)
L0-ORG:
- README.md
- business-units/pirotehnika/business-unit.yaml
- services/pim/service.yaml
- services/pim/README.md
- platform/applications/nocodb/application.yaml
Total documentation: ~5,000+ lines of YAML/Markdown
Issue: Confusion between table names
Resolution:
- Products → 1c_products (explicit data source)
- Clarified that table names are identical in PostgreSQL and NocoDB
- Added legacy_name field to track old names
Impact: Better clarity about data sources and ownership
Issue: Incomplete schema documentation
Resolution:
- Created TABLES_COMPLETE.yaml with full metadata
- Added statistics, triggers, formulas
- Documented all 6 PIM tables with complete field definitions
Impact: Complete understanding of data structure
Issue: Scattered information about tables
Resolution:
- Complete inventory of all 53 tables
- Categorization into 11 functional groups
- Record counts, sources, and purposes documented
Impact: Full visibility into data landscape
Issue: No clear service boundaries
Resolution:
- Complete PIM service specification
- 30+ functions defined
- CLI and API interfaces specified
- Connector flows documented
Impact: Ready for implementation
L0-ORG → WHAT we do, WHO owns it
L2-DATA → HOW to connect, WHAT structure
L3-INFRA → WHERE physically
One connection used by multiple services:
/L2-DATA/connections/bu-piro-db
used_by:
- pim service
- marketplace-sync service (planned)
- order-processing service (planned)
- analytics service (planned)
Easy to add new business units:
1. Create /L0-ORG/business-units/seeboom/
2. Reuse L2-DATA connections
3. Reuse L3-INFRA resources
Principle: Create NEW parallel to OLD, test, then switch
Stages:
1. ✅ STAGE 0: Preparation & inventory
2. ✅ STAGE 1: Create L3-INFRA (document physical resources)
3. ✅ STAGE 2: Create L2-DATA (connections, schemas, processors)
4. ✅ STAGE 3: Create L0-ORG (business units, services)
5. ✅ STAGE 4: Document PLATFORM (applications)
6. ⏳ STAGE 5: Implementation (L1-SERVICE - code)
7. ⏳ STAGE 6: Testing (parallel to legacy)
8. ⏳ STAGE 7: Switchover (migrate users)
9. ⏳ STAGE 8: Cleanup (remove legacy after N months)
Current status: Stages 0-4 complete, ready for implementation
PIM Service Implementation:
/L1-SERVICE/pim/
├── src/
│ ├── api/ ← FastAPI REST API
│ ├── cli/ ← Click CLI tool
│ ├── core/ ← Business logic
│ ├── connectors/ ← 1C, OZON, etc.
│ └── models/ ← Data models
├── tests/
│ ├── unit/
│ └── integration/
├── requirements.txt
├── setup.py
└── README.md
Tasks:
1. Python package structure
2. Database models (SQLAlchemy)
3. Core functions implementation
4. CLI tool (Click)
5. REST API (FastAPI)
6. Connectors (1C, OZON APIs)
7. Unit tests
8. Integration tests
9. Docker containerization
10. CI/CD pipeline
After PIM implementation:
- marketplace-sync service
- order-processing service
- analytics service
Mitigation:
- Document all schema changes in L2-DATA
- Use migration scripts
- Test in staging first
Mitigation:
- Keep legacy structure parallel
- Create backups before changes
- Incremental migration
Mitigation:
- Implement new services parallel to old
- Gradual traffic migration
- Rollback plan ready
Bottom-up approach (L3 → L2 → L0)
- Clear dependencies
- Easy to understand flow
Parallel structure
- Legacy preserved
- Safe to experiment
- Easy rollback
Complete documentation first
- Clearer implementation path
- Fewer surprises
- Better design
YAML specifications
- Machine-readable
- Version controllable
- Can generate code from it
Earlier data inventory
- Should have done inventory before architecture
- Would have caught table naming issues earlier
More user input
- Could have validated service functions with users
- API design could benefit from user feedback
Performance considerations
- Should document expected load
- Should plan for caching strategy
Status: ✅ ARCHITECTURE MIGRATION COMPLETE
The new 4-level platform architecture is fully designed, documented, and ready for implementation.
All specifications are complete:
- ✅ Infrastructure resources defined
- ✅ Data connections established
- ✅ Business services specified
- ✅ Platform applications documented
Legacy structure preserved for safe parallel operation during transition.
Next phase: L1-SERVICE implementation (Python code, CLI, API, tests)
Report Version: 1.0.0
Date: 2025-12-22
Author: Platform Architecture Team
Status: COMPLETE ✅