feat: harte Qualitaetspruefung fuer Preisrecherche
Bei Preisfragen validiert deep_research jetzt die Antwort auf: - konkrete Preise mit Waehrung - Delta in Prozent - Preisvergleich damals/heute - mindestens 3 konkrete Quellen-Links Wenn die Qualitaet zu schwach ist: 1) automatischer Retry mit strikter Anfrage 2) falls weiter unzureichend: klare Fehlermeldung "keine belastbaren Preisdaten gefunden"
This commit is contained in:
Homelab Cursor
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commit
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1 changed files with 103 additions and 34 deletions
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@ -1,8 +1,10 @@
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"""Deep Research Tool — Open Deep Research (CT 121) via LangGraph API."""
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import requests
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import time
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import logging
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import re
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import time
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import requests
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log = logging.getLogger("deep_research")
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@ -17,7 +19,12 @@ Du hast Zugriff auf deep_research — eine KI-gestuetzte Tiefenrecherche die 20-
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Nutze es wenn der User explizit "recherchiere", "finde heraus", "vergleiche" sagt oder eine komplexe Frage hat.
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NICHT fuer einfache Fakten oder Homelab-Fragen.
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WICHTIG: deep_research dauert 2-5 Minuten. Das ist normal. Warte auf das Ergebnis.
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Das Ergebnis ist ein ausfuehrlicher Report. Fasse ihn fuer Telegram zusammen (max ~3000 Zeichen)."""
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Das Ergebnis ist ein ausfuehrlicher Report. Fasse ihn fuer Telegram zusammen (max ~3000 Zeichen).
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QUALITAET BEI PREISFRAGEN:
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- Liefere konkrete Zahlen statt allgemeiner Markttexte.
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- Zeige Zeitraum, Preis damals/heute, Delta in % und Quellen.
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- Wenn keine belastbaren Daten vorhanden sind, sage es explizit."""
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TOOLS = [
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{
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@ -41,8 +48,7 @@ TOOLS = [
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def _create_thread():
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r = requests.post(f"{DEEP_RESEARCH_URL}/threads",
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json={}, timeout=10)
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r = requests.post(f"{DEEP_RESEARCH_URL}/threads", json={}, timeout=10)
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r.raise_for_status()
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return r.json()["thread_id"]
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@ -50,9 +56,7 @@ def _create_thread():
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def _start_run(thread_id, query):
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payload = {
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"assistant_id": ASSISTANT_ID,
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"input": {
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"messages": [{"role": "user", "content": query}]
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},
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"input": {"messages": [{"role": "user", "content": query}]},
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"config": {
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"configurable": {
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"summarization_model": f"openai:{RESEARCH_MODEL}",
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@ -61,10 +65,11 @@ def _start_run(thread_id, query):
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"final_report_model": f"openai:{RESEARCH_MODEL}",
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"allow_clarification": False,
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}
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},
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}
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}
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r = requests.post(f"{DEEP_RESEARCH_URL}/threads/{thread_id}/runs",
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json=payload, timeout=30)
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r = requests.post(
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f"{DEEP_RESEARCH_URL}/threads/{thread_id}/runs", json=payload, timeout=30
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)
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r.raise_for_status()
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return r.json()["run_id"]
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@ -76,8 +81,8 @@ def _poll_run(thread_id, run_id):
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elapsed += POLL_INTERVAL
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try:
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r = requests.get(
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f"{DEEP_RESEARCH_URL}/threads/{thread_id}/runs/{run_id}",
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timeout=10)
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f"{DEEP_RESEARCH_URL}/threads/{thread_id}/runs/{run_id}", timeout=10
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)
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r.raise_for_status()
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data = r.json()
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status = data.get("status", "unknown")
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@ -96,14 +101,11 @@ def _poll_run(thread_id, run_id):
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def _get_result(thread_id):
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r = requests.get(f"{DEEP_RESEARCH_URL}/threads/{thread_id}/state",
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timeout=30)
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r = requests.get(f"{DEEP_RESEARCH_URL}/threads/{thread_id}/state", timeout=30)
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r.raise_for_status()
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state = r.json()
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values = state.get("values", {})
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messages = values.get("messages", [])
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messages = state.get("values", {}).get("messages", [])
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log.info("Messages in result: %d", len(messages))
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for i, msg in enumerate(messages):
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content = msg.get("content", "")
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@ -118,26 +120,95 @@ def _get_result(thread_id):
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return "Kein Report generiert."
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def handle_deep_research(query: str, **kw):
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log.info("deep_research gestartet: %s", query[:100])
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try:
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def _is_price_query(query: str) -> bool:
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q = (query or "").lower()
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needles = [
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"preis",
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"preise",
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"kosten",
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"teuer",
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"guenstig",
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"ram",
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"ddr4",
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"ddr5",
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"entwicklung",
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]
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return any(n in q for n in needles)
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def _price_report_quality(report: str):
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text = report or ""
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links = re.findall(r"https?://\S+", text)
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has_percent = bool(re.search(r"[-+]?\d+[\.,]?\d*\s*%", text))
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has_currency = bool(re.search(r"(?:\d+[\.,]?\d*\s?(?:€|eur|\$))|(?:€\s?\d+)", text, re.I))
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has_comparison = bool(
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re.search(r"(damals|heute|vor\s+\d+\s+(?:monaten|wochen)|aktuell|delta)", text, re.I)
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)
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missing = []
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if len(links) < 3:
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missing.append("mindestens 3 konkrete Quellen-Links")
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if not has_percent:
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missing.append("Delta in %")
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if not has_currency:
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missing.append("konkrete Preise mit Waehrung")
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if not has_comparison:
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missing.append("Preisvergleich damals/heute")
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return len(missing) == 0, missing
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def _run_research(query: str):
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thread_id = _create_thread()
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log.info("Thread erstellt: %s", thread_id)
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run_id = _start_run(thread_id, query)
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log.info("Run gestartet: %s", run_id)
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ok, error = _poll_run(thread_id, run_id)
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if not ok:
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log.error("Research fehlgeschlagen: %s", error)
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return f"Deep Research fehlgeschlagen: {error}"
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return False, f"Deep Research fehlgeschlagen: {error}"
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report = _get_result(thread_id)
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log.info("Report erhalten: %d Zeichen", len(report))
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return True, report
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def handle_deep_research(query: str, **kw):
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log.info("deep_research gestartet: %s", query[:120])
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try:
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ok, report = _run_research(query)
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if not ok:
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return report
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# Harte Qualitaetspruefung fuer Preisfragen
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if _is_price_query(query):
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good, missing = _price_report_quality(report)
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if not good:
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log.warning("Preisreport zu schwach, starte Retry. Missing: %s", ", ".join(missing))
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stricter_query = (
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query
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+ "\n\nLIEFERE NUR belastbare Preisdaten im Format:\n"
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+ "1) Zeitraum (exakt)\n"
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+ "2) Preis damals -> Preis heute (EUR)\n"
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+ "3) Delta in %\n"
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+ "4) 3-5 konkrete Quellen-Links (keine Startseiten).\n"
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+ "Wenn unklar: explizit keine belastbaren Preisdaten gefunden."
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)
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ok2, report2 = _run_research(stricter_query)
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if ok2:
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good2, missing2 = _price_report_quality(report2)
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if good2:
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report = report2
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else:
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return (
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"keine belastbaren Preisdaten gefunden. "
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"Es fehlen: "
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+ ", ".join(missing2)
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+ ". Bitte Anfrage enger formulieren (Produktklasse + Region + Zeitraum)."
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)
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else:
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return report2
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if len(report) > 6000:
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report = report[:6000] + "\n\n[... Report gekuerzt]"
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return report
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except requests.ConnectionError:
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@ -148,6 +219,4 @@ def handle_deep_research(query: str, **kw):
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return f"Deep Research Fehler: {e}"
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HANDLERS = {
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"deep_research": handle_deep_research,
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}
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HANDLERS = {"deep_research": handle_deep_research}
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