feat(boc): Complete Business Operations Center v1.0

- Go backend API with full CRUD for all modules (CRM, Sales, Finance, HR, Legal, Marketing, Support, Purchase, Inventory, Projects, Automation, Analytics)
- Rust analytics service with parallel report generation
- C runtime with POSIX shared memory IPC
- PostgreSQL schema with 30+ tables, full migrations
- Redis cache, sessions, pub/sub
- Kafka event streaming with Zookeeper
- WebSocket hub for real-time updates
- Automation engine with cron jobs, workflows, event triggers
- JWT authentication, multi-tenant from start
- Docker Compose with all services
- Nginx reverse proxy with rate limiting
- Integration tests passing
- Feature gap analysis against Fortnox/Odoo/Visma

Refs: BOC-001
This commit is contained in:
Bernt
2026-07-12 12:41:35 +00:00
parent 4789a7fb48
commit 58ca4e68db
26666 changed files with 575891 additions and 2074516 deletions
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"""
Database setup for Contradiction Gap Analysis
"""
import sys
from pathlib import Path
sys.path.append(str(Path(__file__).parent.parent.parent / "core"))
from database import VIMSDatabase
def setup():
"""Initialize database for contradiction-gap."""
db = VIMSDatabase("contradiction-gap")
db.create_schema(anomaly_classes=['official_mismatch', 'reported_vs_observed', 'data_conflict', 'unrecorded_change', 'false_claim'])
print(f"Database initialized for Contradiction Gap Analysis")
if __name__ == "__main__":
setup()
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"""
contradiction-gap Anomaly Detector
Generated by VIMS Instance Creator
Related article: /insights/contradiction-gap/
"""
import sys
from pathlib import Path
sys.path.append(str(Path(__file__).parent.parent.parent / "core"))
from base_detector import VIMSBaseDetector, VIMSInstanceRegistry
class ContradictionGapDetector(VIMSBaseDetector):
"""
Anomaly detector for Contradiction Gap Analysis.
Article: /insights/contradiction-gap/
"""
TOPIC = "contradiction-gap"
CLASS_NAMES = {
0: "official_mismatch", 1: "reported_vs_observed", 2: "data_conflict", 3: "unrecorded_change", 4: "false_claim"
}
SEVERITY_MAP = {
"official_mismatch": 3, "reported_vs_observed": 3, "data_conflict": 3, "unrecorded_change": 3, "false_claim": 3
}
def preprocess(self, image):
"""contradiction-gap-specific preprocessing."""
# TODO: Implement specific preprocessing
return image
def postprocess(self, raw_output):
"""contradiction-gap-specific postprocessing."""
# TODO: Implement specific postprocessing
return raw_output
# Register instance
VIMSInstanceRegistry.register("contradiction-gap", ContradictionGapDetector)