SysOps: voice-agy-webbuilder-backup — 2026-06-23 10:04 UTC

2026-06-23 10:04:23 +00:00
parent 3bf15c4850
commit 26fe76afdd
165 changed files with 47427 additions and 1264 deletions
@@ -0,0 +1,147 @@
+"""Klant 360° — geaggregeerde data uit NAS, CRM, retail, trends."""
+from __future__ import annotations
+
+from typing import Any
+
+from app.db import fetch_all, fetch_one
+from app.services import projects as projects_svc
+
+
+def _serialize_row(row: dict | None) -> dict | None:
+    if not row:
+        return None
+    out = dict(row)
+    for k, v in list(out.items()):
+        if hasattr(v, "isoformat"):
+            out[k] = v.isoformat()
+    return out
+
+
+def _serialize_rows(rows: list) -> list[dict]:
+    return [_serialize_row(r) for r in rows if r]
+
+
+def get_client_360(client_id: int) -> dict[str, Any]:
+    client = fetch_one("SELECT * FROM clients WHERE id = %s", (client_id,))
+    if not client:
+        return {"ok": False, "error": "Client not found"}
+
+    projs = projects_svc.list_projects(client_id=client_id, limit=50)
+    links = fetch_all(
+        """
+        SELECT dl.*, p.name AS project_name
+        FROM document_links dl
+        LEFT JOIN cockpit_projects p ON p.id = dl.project_id
+        WHERE dl.client_id = %s
+        ORDER BY dl.created_at DESC
+        """,
+        (client_id,),
+    )
+    paths = [l["storage_path"] for l in links if l.get("storage_path")]
+    docs: list[dict] = []
+    if paths:
+        placeholders = ",".join(["%s"] * len(paths))
+        docs = fetch_all(
+            f"""
+            SELECT filename, storage_path, doc_type, word_count, sentiment_label,
+                   sentiment_compound, analyzed_at, user_labels
+            FROM document_analytics
+            WHERE storage_path IN ({placeholders})
+               OR storage_path LIKE ANY (
+                   SELECT dl.storage_path || '/%%' FROM document_links dl
+                   WHERE dl.client_id = %s AND dl.is_folder = TRUE
+               )
+            ORDER BY analyzed_at DESC NULLS LAST
+            LIMIT 80
+            """,
+            tuple(paths + [client_id]),
+        )
+    sentiment_rows = fetch_all(
+        """
+        SELECT sentiment_label, COUNT(*) AS n, AVG(sentiment_compound) AS avg_c
+        FROM document_analytics da
+        WHERE EXISTS (
+            SELECT 1 FROM document_links dl
+            WHERE dl.client_id = %s
+              AND (da.storage_path = dl.storage_path
+                   OR (dl.is_folder AND da.storage_path LIKE dl.storage_path || '/%%'))
+        )
+        GROUP BY sentiment_label
+        """,
+        (client_id,),
+    )
+    top_words = fetch_all(
+        """
+        SELECT dwc.lemma, SUM(dwc.count) AS total
+        FROM document_word_counts dwc
+        JOIN document_analytics da ON da.id = dwc.document_id
+        WHERE EXISTS (
+            SELECT 1 FROM document_links dl
+            WHERE dl.client_id = %s
+              AND (da.storage_path = dl.storage_path
+                   OR (dl.is_folder AND da.storage_path LIKE dl.storage_path || '/%%'))
+        )
+          AND NOT dwc.is_stopword
+        GROUP BY dwc.lemma
+        ORDER BY total DESC
+        LIMIT 25
+        """,
+        (client_id,),
+    )
+    deals = fetch_all(
+        "SELECT id, title, value, stage, next_action, deadline FROM deals WHERE client_id = %s ORDER BY updated_at DESC LIMIT 15",
+        (client_id,),
+    )
+    stores = fetch_all(
+        """
+        SELECT s.id, s.name, s.chain, s.city, s.partnership_status, s.halal_certified
+        FROM client_supermarket_links l
+        JOIN supermarkets s ON s.id = l.supermarket_id
+        WHERE l.client_id = %s
+        LIMIT 30
+        """,
+        (client_id,),
+    )
+    trends = fetch_all(
+        """
+        SELECT DATE_TRUNC('month', da.analyzed_at) AS month,
+               COUNT(*) AS docs,
+               AVG(da.sentiment_compound) AS avg_sentiment,
+               SUM(da.word_count) AS words
+        FROM document_analytics da
+        WHERE da.analyzed_at IS NOT NULL
+          AND EXISTS (
+            SELECT 1 FROM document_links dl
+            WHERE dl.client_id = %s
+              AND (da.storage_path = dl.storage_path
+                   OR (dl.is_folder AND da.storage_path LIKE dl.storage_path || '/%%'))
+          )
+        GROUP BY 1
+        ORDER BY 1 DESC
+        LIMIT 12
+        """,
+        (client_id,),
+    )
+    for t in trends:
+        if hasattr(t.get("month"), "isoformat"):
+            t["month"] = t["month"].isoformat()
+
+    return {
+        "ok": True,
+        "client": _serialize_row(client),
+        "projects": projs,
+        "links": _serialize_rows(links),
+        "documents": _serialize_rows(docs),
+        "sentiment_breakdown": _serialize_rows(sentiment_rows),
+        "top_words": _serialize_rows(top_words),
+        "deals": _serialize_rows(deals),
+        "stores": _serialize_rows(stores),
+        "monthly_trends": trends,
+        "stats": {
+            "linked_paths": len(links),
+            "documents": len(docs),
+            "projects": len(projs),
+            "stores": len(stores),
+            "deals": len(deals),
+        },
+    }