Platform bundle: marketing publish, IT ops, packaging, agents mesh.
Volledige Foodlinkk Command Center uitbreiding met social automatisering, reclamefolder filters, Proxmox monitoring en documentatie.
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Aissa
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"""AI recommendations — Herman filter output."""
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from __future__ import annotations
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import json
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import os
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import urllib.request
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from datetime import datetime, timedelta, timezone
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from typing import Any, Optional
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from fastapi import APIRouter, HTTPException, Query
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from app.db import execute, execute_returning, fetch_all, fetch_one, json_param
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from app.middleware import log_agent_event
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router = APIRouter(prefix="/recommendations", tags=["recommendations"])
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OLLAMA_URL = os.getenv("OLLAMA_URL", "http://10.4.7.19:11434")
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OLLAMA_MODEL = os.getenv("OLLAMA_MODEL", "qwen3:8b")
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HERMAN_URL = os.getenv("HERMAN_ORCHESTRATOR_URL", "http://10.4.7.19:8090")
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def _serialize(row: dict) -> dict[str, Any]:
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out = {}
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for k, v in row.items():
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if hasattr(v, "isoformat"):
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out[k] = v.isoformat()
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elif type(v).__name__ == "Decimal":
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out[k] = float(v)
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else:
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out[k] = v
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return out
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@router.get("/pending")
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def pending_recommendations(limit: int = Query(10, ge=1, le=50)) -> dict[str, Any]:
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rows = fetch_all(
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"""SELECT * FROM ai_recommendations WHERE status = 'pending'
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ORDER BY impact_score DESC NULLS LAST, created_at DESC LIMIT %s""",
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(limit,),
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)
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return {"items": [_serialize(r) for r in rows]}
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@router.get("/strategies")
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def list_strategies(active_only: bool = True) -> dict[str, Any]:
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q = "SELECT * FROM marketing_strategies"
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if active_only:
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q += " WHERE is_active = true"
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q += " ORDER BY updated_at DESC LIMIT 20"
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return {"items": [_serialize(r) for r in fetch_all(q)]}
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@router.post("/generate")
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def generate_recommendations() -> dict[str, Any]:
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briefs = fetch_all("SELECT domain, title, summary FROM research_briefs ORDER BY generated_at DESC LIMIT 5")
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deals = fetch_all(
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"SELECT d.id, d.title, d.value, d.stage, d.next_action, c.name AS client_name FROM deals d LEFT JOIN clients c ON c.id = d.client_id WHERE d.stage NOT IN ('won','lost')"
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)
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pending_approvals = fetch_all(
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"SELECT id, agent_name, title FROM agent_events WHERE status = 'needs_approval' LIMIT 5"
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)
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context = {
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"briefs": [dict(b) for b in briefs],
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"deals": [dict(d) for d in deals],
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"approvals": [dict(a) for a in pending_approvals],
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}
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created = []
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for deal in deals:
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val = float(deal.get("value") or 0)
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title = f"{deal.get('client_name') or 'Deal'} — {deal.get('next_action') or 'follow-up'}"
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existing = fetch_one(
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"SELECT id FROM ai_recommendations WHERE title = %s AND status = 'pending'",
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(title[:255],),
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)
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if existing:
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continue
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row = execute_returning(
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"""INSERT INTO ai_recommendations
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(recommendation_type, title, description, priority, impact_score, confidence_score,
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data_sources, action_items, generated_by, related_entity_type, related_entity_id, status, expires_at)
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VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,'pending',%s) RETURNING id""",
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(
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"deal_action",
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title[:255],
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f"Deal {deal.get('title')} — stage {deal.get('stage')} — €{val:,.0f}",
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"high" if val >= 50000 else "medium",
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min(0.95, 0.5 + val / 200000),
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0.85,
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json_param({"source": "crm", "deal_id": deal.get("id")}),
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[deal.get("next_action") or "Follow-up"],
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"herman",
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"deal",
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deal.get("id"),
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datetime.now(timezone.utc) + timedelta(days=7),
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),
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)
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created.append(row["id"])
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for appr in pending_approvals:
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title = f"Goedkeuren: {appr.get('title')}"
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existing = fetch_one(
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"SELECT id FROM ai_recommendations WHERE title = %s AND status = 'pending'",
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(title[:255],),
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)
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if not existing:
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row = execute_returning(
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"""INSERT INTO ai_recommendations
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(recommendation_type, title, description, priority, impact_score, confidence_score,
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generated_by, status, expires_at)
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VALUES ('operational', %s, %s, 'high', 0.80, 0.90, 'herman', 'pending', %s)
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RETURNING id""",
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(
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title[:255],
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f"Agent {appr.get('agent_name')} wacht op CEO",
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datetime.now(timezone.utc) + timedelta(days=3),
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),
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)
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created.append(row["id"])
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if not created and not fetch_one("SELECT id FROM ai_recommendations WHERE status='pending' LIMIT 1"):
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row = execute_returning(
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"""INSERT INTO ai_recommendations
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(recommendation_type, title, description, priority, impact_score, confidence_score,
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generated_by, status)
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VALUES ('retail_target', 'Retail intelligence uitbreiden', 'Run AH/Jumbo scrapers voor volledige kaart', 'medium', 0.70, 0.75, 'herman', 'pending')
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RETURNING id"""
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)
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created.append(row["id"])
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log_agent_event(
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agent_name="herman",
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event_type="recommendations_generated",
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title=f"Generated {len(created)} recommendations",
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metadata={"ids": created, "context_keys": list(context.keys())},
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)
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return {"created": created, "pending_count": len(fetch_all("SELECT id FROM ai_recommendations WHERE status='pending'"))}
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@router.post("/{rec_id}/approve")
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def approve_recommendation(rec_id: int) -> dict[str, Any]:
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row = execute_returning(
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"UPDATE ai_recommendations SET status = 'approved', updated_at = NOW() WHERE id = %s RETURNING *",
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(rec_id,),
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)
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if not row:
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raise HTTPException(404, "Recommendation not found")
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execute_returning(
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"""INSERT INTO herman_actions (action_type, title, description, status, completed_at)
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VALUES ('recommendation_approved', %s, %s, 'completed', NOW()) RETURNING id""",
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(row["title"], row.get("description")),
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)
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log_agent_event(agent_name="herman", event_type="approval", title=f"Approved recommendation {rec_id}", status="completed")
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return _serialize(row)
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@router.post("/{rec_id}/dismiss")
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def dismiss_recommendation(rec_id: int) -> dict[str, Any]:
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row = execute_returning(
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"UPDATE ai_recommendations SET status = 'dismissed', updated_at = NOW() WHERE id = %s RETURNING *",
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(rec_id,),
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)
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if not row:
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raise HTTPException(404, "Recommendation not found")
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return _serialize(row)
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