feat: pre-launch vs post-launch analysis modes

- Backend: mode field in request, adapts summary tone and email subject
- Pre-launch: "Implementieren Sie X vor Veroeffentlichung"
- Post-launch: "ACHTUNG: Maengel sind oeffentlich sichtbar, sofortige Nachbesserung"
- Frontend: Mode toggle (internes Dokument vs. Live-Website)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

backend-compliance/compliance/api/agent_analyze_routes.py

@@ -41,6 +41,7 @@ SDK_HEADERS = {
 class AnalyzeRequest(BaseModel):
     url: str
     recipient: str = "dsb@breakpilot.local"
+    mode: str = "post_launch"  # "pre_launch" or "post_launch"
 
 
 class FollowUpQuestion(BaseModel):
@@ -97,12 +98,13 @@ async def analyze_url(req: AnalyzeRequest):
             esc_level = "E1"
             role = ESCALATION_ROLES["E1"]
 
-        summary = _build_summary(req.url, classification, assessment, role, findings_str, controls_str)
+        summary = _build_summary(req.url, classification, assessment, role, findings_str, controls_str, req.mode)
 
         # Step 7: Send notification
+        mode_label = "INTERNE PRUEFUNG" if req.mode == "pre_launch" else "LIVE-WEBSITE"
         email_result = send_email(
             recipient=req.recipient,
-            subject=f"Compliance-Finding: {classification} — {req.url[:60]}",
+            subject=f"[{mode_label}] Compliance-Finding: {classification} — {req.url[:60]}",
             body_html=f"<div>{summary}</div>",
         )
 
@@ -350,17 +352,27 @@ def _risk_to_escalation(risk_level: str) -> str:
 def _build_summary(
     url: str, classification: str, assessment: dict, role: str,
     findings_str: list[str], controls_str: list[str],
+    mode: str = "post_launch",
 ) -> str:
-    """Build a German manager summary."""
+    """Build a German manager summary, adapted to pre/post-launch context."""
     risk = assessment.get("risk_level", "unbekannt")
     score = assessment.get("risk_score", 0)
     recommendation = assessment.get("recommendation", "")
     dsfa = assessment.get("dsfa_recommended", False)
+    is_live = mode == "post_launch"
 
     findings_text = "\n".join(f"- {f}" for f in findings_str[:5]) if findings_str else "Keine"
     controls_text = "\n".join(f"- {c}" for c in controls_str[:5]) if controls_str else "Keine"
 
+    mode_header = (
+        "PRUEFUNG LIVE-WEBSITE — Das Dokument ist bereits oeffentlich zugaenglich."
+        if is_live else
+        "INTERNE PRUEFUNG — Das Dokument ist noch nicht veroeffentlicht."
+    )
+
     parts = [
+        mode_header,
+        "",
         f"Dokumenttyp: {classification}",
         f"Quelle: {url}",
         f"Risikobewertung: {risk} ({score}/100)",
@@ -371,6 +383,19 @@ def _build_summary(
         "",
         f"Erforderliche Massnahmen:\n{controls_text}",
     ]
+
+    if is_live and findings_str:
+        parts.extend([
+            "",
+            "ACHTUNG: Diese Maengel sind bereits oeffentlich sichtbar. "
+            "Sofortige Nachbesserung empfohlen um Abmahnrisiken zu minimieren.",
+        ])
+    elif not is_live and controls_str:
+        parts.extend([
+            "",
+            "Empfehlung: Implementieren Sie die erforderlichen Kontrollen vor der Veroeffentlichung.",
+        ])
+
     if recommendation:
-        parts.extend(["", f"Empfehlung: {recommendation}"])
+        parts.extend(["", f"Weitere Empfehlung: {recommendation}"])
     return "\n".join(parts)