feat(iace): FMEA source-document register + Anthropic extraction (Haiku)

Quote-verifiable failure extraction via Claude (Haiku 4.5): PDF sent
directly, tool-schema forces verbatim source quotes + applicable flag +
confidence — replaces the unreliable local llama run. Only applicable=true
tuples ingest into bp_iace_failure_kb; every processed doc lands in the
source manifest.

Frontend: FMEA tab now shows a "Quelldokumente" register (every document we
use, with source + licence + link + what was extracted) served from the
embedded manifest via GET /iace/failure-knowledge/sources. Manifest is
placeholder until the 100-doc Haiku run is folded in.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
This commit is contained in:
Benjamin Admin
2026-06-13 13:34:41 +02:00
parent f1ac45dacf
commit 445079cfb2
9 changed files with 395 additions and 0 deletions
@@ -0,0 +1,77 @@
'use client'
import { useState } from 'react'
import { useFailureSources } from '../_hooks/useFailureSources'
/**
* FMEA source-document register: shows EVERY document the failure-knowledge
* corpus is built from, with source + licence + link. Collapsible; "used" =
* a concrete failure was extracted and ingested, "geprüft" = checked but not a
* failure. Full provenance, always visible.
*/
export function SourceDocuments() {
const { data } = useFailureSources()
const [open, setOpen] = useState(false)
if (!data) return null
const used = data.documents.filter((d) => d.used)
return (
<div className="rounded-xl border border-gray-200 dark:border-gray-700 bg-white dark:bg-gray-800">
<button onClick={() => setOpen(!open)} className="w-full flex items-center justify-between px-4 py-3 text-left">
<span className="text-sm font-medium text-gray-800 dark:text-gray-200">
Quelldokumente <span className="text-gray-400 font-normal">({used.length} verwendet / {data.count} geprüft · {data.model || 'extrahiert'})</span>
</span>
<span className="text-gray-400 text-xs">{open ? '▲' : '▼'}</span>
</button>
{open && (
<div className="px-4 pb-4">
{data.count === 0 ? (
<p className="text-xs text-gray-500">Noch keine Quelldokumente extrahiert.</p>
) : (
<div className="overflow-x-auto">
<table className="w-full text-xs">
<thead>
<tr className="text-gray-500 border-b border-gray-200 dark:border-gray-700 text-left">
<th className="py-1.5 pr-3">Dokument</th>
<th className="py-1.5 pr-3">Quelle / Lizenz</th>
<th className="py-1.5 pr-3">Extrahiert</th>
<th className="py-1.5">Status</th>
</tr>
</thead>
<tbody>
{data.documents.map((d) => (
<tr key={d.id} className="border-b border-gray-100 dark:border-gray-700/50 align-top">
<td className="py-1.5 pr-3 max-w-xs">
<a href={d.url} target="_blank" rel="noopener noreferrer" className="text-purple-600 hover:underline">
{d.title || d.source}
</a>
</td>
<td className="py-1.5 pr-3 text-gray-500">
{d.source}<br /><span className="text-[10px] text-gray-400">{d.license}</span>
</td>
<td className="py-1.5 pr-3 text-gray-600 dark:text-gray-300">
{d.used ? `${d.component}${d.failure_mode}` : '—'}
{d.used && d.confidence && <span className="text-[10px] text-gray-400"> ({d.confidence})</span>}
</td>
<td className="py-1.5">
<span className={`inline-block rounded px-1.5 py-0.5 text-[10px] font-medium ${
d.used ? 'bg-green-100 text-green-700 dark:bg-green-900/40 dark:text-green-300'
: 'bg-gray-100 text-gray-500 dark:bg-gray-700 dark:text-gray-400'}`}>
{d.used ? 'verwendet' : 'geprüft'}
</span>
</td>
</tr>
))}
</tbody>
</table>
</div>
)}
<p className="text-[10px] text-gray-400 mt-2">
Alle Quellen sind kommerziell nutzbar (lizenzgeprüft) und über den Link einsehbar. Extraktion
Claude-basiert mit Quell-Zitat je Wert (verified=false bis stichprobengeprüft).
</p>
</div>
)}
</div>
)
}
@@ -0,0 +1,46 @@
'use client'
import { useEffect, useState } from 'react'
export interface FailureSourceDoc {
id: number
title: string
source: string
license: string
url: string
used: boolean
component: string
failure_mode: string
confidence: string
}
export interface FailureSources {
generated: string
model: string
count: number
documents: FailureSourceDoc[]
}
/**
* Loads the FMEA source-document register (every document we use, with source +
* licence). Global, not per project — the auditable provenance of the
* failure-knowledge corpus.
*/
export function useFailureSources() {
const [data, setData] = useState<FailureSources | null>(null)
useEffect(() => {
let cancelled = false
fetch('/api/sdk/v1/iace/failure-knowledge/sources')
.then((r) => (r.ok ? r.json() : null))
.then((j) => {
if (!cancelled) setData(j)
})
.catch((err) => console.error('Failed to load failure sources:', err))
return () => {
cancelled = true
}
}, [])
return { data }
}
@@ -3,6 +3,7 @@
import { useEffect, useState } from 'react' import { useEffect, useState } from 'react'
import { useParams } from 'next/navigation' import { useParams } from 'next/navigation'
import { useFMEA, type FMEARow } from './_hooks/useFMEA' import { useFMEA, type FMEARow } from './_hooks/useFMEA'
import { SourceDocuments } from './_components/SourceDocuments'
const COMP_TYPE_LABELS: Record<string, string> = { const COMP_TYPE_LABELS: Record<string, string> = {
mechanical: 'Mechanisch', electrical: 'Elektrisch', sensor: 'Sensor', mechanical: 'Mechanisch', electrical: 'Elektrisch', sensor: 'Sensor',
@@ -60,6 +61,9 @@ export default function FMEAPage() {
{/* Info Box */} {/* Info Box */}
<FMEAInfoBox /> <FMEAInfoBox />
{/* Source-document register (provenance, always visible) */}
<SourceDocuments />
{/* KI-Vorschlag + Export */} {/* KI-Vorschlag + Export */}
<div className="flex items-center justify-between gap-3"> <div className="flex items-center justify-between gap-3">
<div className="flex items-center gap-2"> <div className="flex items-center gap-2">
@@ -29,6 +29,14 @@ func (h *IACEHandler) ListFailureKnowledge(c *gin.Context) {
}) })
} }
// ListFailureSources handles GET /failure-knowledge/sources.
// The source-document register for the FMEA frontend: EVERY document we use,
// with its source + licence + URL (and what was extracted). Always visible so an
// auditor sees the full provenance of the failure-knowledge corpus.
func (h *IACEHandler) ListFailureSources(c *gin.Context) {
c.JSON(http.StatusOK, iace.GetFailureSources())
}
// HarvestNTRSFailures handles GET /failure-knowledge/ntrs. // HarvestNTRSFailures handles GET /failure-knowledge/ntrs.
// Live-harvests NASA NTRS lessons-learned metadata and returns only the records // Live-harvests NASA NTRS lessons-learned metadata and returns only the records
// that pass the public-reuse licence gate (Stage 1 of the bulk loader). Tuple // that pass the public-reuse licence gate (Stage 1 of the bulk loader). Tuple
@@ -33,6 +33,7 @@ func registerIACERoutes(v1 *gin.RouterGroup, h *handlers.IACEHandler) {
iaceRoutes.GET("/minimum-distances", h.ListMinimumDistances) iaceRoutes.GET("/minimum-distances", h.ListMinimumDistances)
iaceRoutes.GET("/failure-knowledge", h.ListFailureKnowledge) iaceRoutes.GET("/failure-knowledge", h.ListFailureKnowledge)
iaceRoutes.GET("/failure-knowledge/ntrs", h.HarvestNTRSFailures) iaceRoutes.GET("/failure-knowledge/ntrs", h.HarvestNTRSFailures)
iaceRoutes.GET("/failure-knowledge/sources", h.ListFailureSources)
iaceRoutes.GET("/tags", h.ListTags) iaceRoutes.GET("/tags", h.ListTags)
iaceRoutes.GET("/hazard-patterns", h.ListHazardPatterns) iaceRoutes.GET("/hazard-patterns", h.ListHazardPatterns)
@@ -0,0 +1,6 @@
{
"generated": "pending-first-run",
"model": "claude-haiku-4-5-20251001",
"count": 0,
"documents": []
}
@@ -0,0 +1,46 @@
package iace
import (
_ "embed"
"encoding/json"
)
// Source-document register for the FMEA failure-knowledge corpus. The manifest
// is generated by the Anthropic extraction run (scripts/fmea_anthropic_extract.py)
// and committed here, so the FMEA frontend can ALWAYS show every source document
// we use — with its source + licence — straight from the deployed binary.
// Each entry is auditable: a public URL + the licence under which we use it.
//go:embed datasources/nasa_failure_sources.json
var failureSourcesJSON []byte
// FailureSourceDoc is one source document in the register.
type FailureSourceDoc struct {
ID int64 `json:"id"`
Title string `json:"title"`
Source string `json:"source"`
License string `json:"license"`
URL string `json:"url"`
Used bool `json:"used"` // true = applicable failure, ingested into the corpus
Component string `json:"component"` // extracted (empty if not used)
FailureMode string `json:"failure_mode"`
Confidence string `json:"confidence"`
}
// FailureSources is the full register manifest.
type FailureSources struct {
Generated string `json:"generated"`
Model string `json:"model"`
Count int `json:"count"`
Documents []FailureSourceDoc `json:"documents"`
}
// GetFailureSources returns the embedded source-document register.
func GetFailureSources() FailureSources {
var fs FailureSources
_ = json.Unmarshal(failureSourcesJSON, &fs)
if fs.Documents == nil {
fs.Documents = []FailureSourceDoc{}
}
return fs
}
@@ -0,0 +1,20 @@
package iace
import "testing"
// The embedded manifest must always parse and every document must carry a
// source + licence (the register is the auditable provenance shown in the UI).
func TestGetFailureSources_ParsesAndAttributed(t *testing.T) {
fs := GetFailureSources()
if fs.Documents == nil {
t.Fatal("documents must never be nil")
}
for _, d := range fs.Documents {
if d.Source == "" || d.License == "" {
t.Errorf("doc %d missing source/license: %+v", d.ID, d)
}
if !FailureKnowledgeLicenseAllowed(d.License) {
t.Errorf("doc %d carries a non-allowed licence %q", d.ID, d.License)
}
}
}
@@ -0,0 +1,187 @@
#!/usr/bin/env python3
"""Quote-verifiable FailureKnowledge extraction via the Anthropic API.
Sends each NASA NTRS PDF DIRECTLY to Claude (native PDF + vision, incl. scanned)
and forces a structured tool call whose schema REQUIRES a verbatim source quote
for the key fields — every value is auditable against the document. Only
public-reuse-licensed NTRS docs are processed. applicable=true tuples are
ingested into bp_iace_failure_kb; EVERY processed doc is recorded in the source
manifest (used vs checked-not-used) for the FMEA frontend register.
Env: ANTHROPIC_API_KEY (req), ANTHROPIC_MODEL (default claude-haiku-4-5-20251001),
MAX_DOCS (default 100), RAG (default https://127.0.0.1:8097).
Out: /tmp/fmea_harvest/anthropic.jsonl, /tmp/fmea_harvest/nasa_failure_sources.json
"""
import base64, json, os, ssl, subprocess, sys, time, urllib.parse, urllib.request, urllib.error
API = "https://api.anthropic.com/v1/messages"
NTRS = "https://ntrs.nasa.gov"
RAG = os.environ.get("RAG", "https://127.0.0.1:8097")
COLLECTION = "bp_iace_failure_kb"
MODEL = os.environ.get("ANTHROPIC_MODEL", "claude-haiku-4-5-20251001")
KEY = os.environ.get("ANTHROPIC_API_KEY", "")
MAX_DOCS = int(os.environ.get("MAX_DOCS", "100"))
WORK = "/tmp/fmea_harvest"
OUT = f"{WORK}/anthropic.jsonl"
MANIFEST = f"{WORK}/nasa_failure_sources.json"
QUERIES = ["lessons learned failure", "lessons learned anomaly valve seal bearing motor",
"failure investigation fracture leak short corrosion", "reliability failure mechanism component"]
os.makedirs(WORK, exist_ok=True)
_ctx = ssl.create_default_context()
_ctx.check_hostname = False
_ctx.verify_mode = ssl.CERT_NONE
TOOL = {
"name": "record_failure",
"description": "Record the hardware failure described in the document, with verbatim source quotes.",
"input_schema": {"type": "object", "properties": {
"applicable": {"type": "boolean", "description": "true ONLY if the document describes a concrete hardware/component failure"},
"component": {"type": "string"}, "component_quote": {"type": "string", "description": "verbatim sentence naming the component"},
"failure_mode": {"type": "string"}, "failure_mode_quote": {"type": "string", "description": "verbatim sentence describing how it failed"},
"mechanism": {"type": "string"}, "effect": {"type": "string"},
"hazard": {"type": "string", "enum": ["mechanical_hazard", "electrical_hazard", "thermal_hazard", "fire_explosion", "pneumatic_hydraulic", "none"]},
"control": {"type": "string"}, "confidence": {"type": "string", "enum": ["high", "medium", "low"]}},
"required": ["applicable", "component", "failure_mode", "component_quote", "failure_mode_quote", "confidence"]},
}
PROMPT = ("Read this NASA engineering document and extract the single primary hardware failure. Use the "
"record_failure tool. Quote the SOURCE SENTENCE verbatim for component and failure_mode. If the "
"document does not describe a concrete component failure, call the tool with applicable=false. "
"Never invent values — leave a field empty rather than guess.")
def get_json(url, data=None, headers=None, timeout=120):
req = urllib.request.Request(url, data=data, headers=headers or {})
with urllib.request.urlopen(req, timeout=timeout, context=_ctx) as r:
return json.load(r)
def ntrs_usable(l):
if str(l.get("distribution", "")).upper() != "PUBLIC":
return False
ec = l.get("exportControl") or {}
if any(str(ec.get(k, "")).upper() == "YES" for k in ("isExportControl", "ear", "itar")):
return False
if (l.get("cui") or {}).get("isCui"):
return False
cp = l.get("copyright") or {}
if cp.get("containsThirdPartyMaterial"):
return False
return str(cp.get("determinationType", "")).upper() in ("PUBLIC_USE_PERMITTED", "GOV_PUBLIC_USE_PERMITTED")
def pdf_url(l):
for d in l.get("downloads", []):
if "pdf" in str(d.get("mimetype", "")).lower():
o = (d.get("links") or {}).get("original")
if o:
return NTRS + o
return None
def extract(pdf_b64):
body = json.dumps({"model": MODEL, "max_tokens": 1024, "tools": [TOOL],
"tool_choice": {"type": "tool", "name": "record_failure"},
"messages": [{"role": "user", "content": [
{"type": "document", "source": {"type": "base64", "media_type": "application/pdf", "data": pdf_b64}},
{"type": "text", "text": PROMPT}]}]}).encode()
hdr = {"x-api-key": KEY, "anthropic-version": "2023-06-01", "content-type": "application/json"}
for attempt in (1, 2):
try:
resp = get_json(API, body, hdr, timeout=180)
for b in resp.get("content", []):
if b.get("type") == "tool_use":
return b.get("input"), resp.get("usage", {})
return None, resp.get("usage", {})
except (urllib.error.URLError, ConnectionError) as e:
if attempt == 2:
raise
time.sleep(3)
return None, {}
def ingest(did, title, t, lic, url):
md = (f"# NASA Lesson {did}: {title}\n\n- Source: NASA NTRS {did}\n- License: {lic}\n- URL: {url}\n"
f"- verified: false (Claude-extracted, quote-checked)\n\n"
f"Component: {t.get('component','')}\nFailure mode: {t.get('failure_mode','')}\n"
f"Mechanism: {t.get('mechanism','')}\nEffect: {t.get('effect','')}\nHazard: {t.get('hazard','')}\n"
f"Control: {t.get('control','')}\nConfidence: {t.get('confidence','')}\n\n"
f"Component quote: {t.get('component_quote','')}\nFailure-mode quote: {t.get('failure_mode_quote','')}\n")
p = f"{WORK}/fk_{did}.md"
open(p, "w").write(md)
meta = json.dumps({"title": f"NASA NTRS {did}: {title}"[:120], "license": lic, "source": f"NASA NTRS {did}", "verified": "false"})
r = subprocess.run(["curl", "-sk", "--max-time", "90", "-X", "POST", f"{RAG}/api/v1/documents/upload",
"-F", f"file=@{p}", "-F", f"collection={COLLECTION}", "-F", "data_type=failure_kb",
"-F", "use_case=iace_fmea", "-F", "year=2024", "-F", f"metadata_json={meta}"],
capture_output=True, text=True, timeout=120)
try:
os.remove(p)
except Exception:
pass
return "chunks_count" in r.stdout
def main():
if not KEY:
print("ERROR: ANTHROPIC_API_KEY not set", file=sys.stderr); sys.exit(1)
subprocess.run(["curl", "-sk", "-X", "POST", f"{RAG}/api/v1/collections", "-H", "Content-Type: application/json",
"-d", json.dumps({"name": COLLECTION, "vector_size": 1024})], capture_output=True)
manifest, seen, processed = [], set(), 0
for q in QUERIES:
if processed >= MAX_DOCS:
break
for frm in (0, 100, 200):
if processed >= MAX_DOCS:
break
try:
res = get_json(f"{NTRS}/api/citations/search?q={urllib.parse.quote(q)}&page.size=100&page.from={frm}&highlight=false", timeout=90)
except Exception as e:
print(f"search '{q}'@{frm} error: {e}", flush=True); continue
for l in res.get("results", []):
if processed >= MAX_DOCS:
break
did = l.get("id")
if not did or did in seen:
continue
if not ntrs_usable(l):
continue
url = pdf_url(l)
if not url:
continue
seen.add(did)
pdf = f"{WORK}/{did}.pdf"
subprocess.run(["curl", "-sL", "--max-time", "150", "-o", pdf, url], capture_output=True)
sz = os.path.getsize(pdf) if os.path.exists(pdf) else 0
if sz < 1000 or sz > 30_000_000:
try:
os.remove(pdf)
except Exception:
pass
continue
b64 = base64.b64encode(open(pdf, "rb").read()).decode()
os.remove(pdf)
try:
t, usage = extract(b64)
except Exception as e:
print(f" {did} extract error: {e}", flush=True); continue
if not t:
continue
title = (l.get("title") or "")[:110]
lic = f"Public Domain (NASA NTRS, {(l.get('copyright') or {}).get('determinationType','')})"
used = bool(t.get("applicable"))
t.update({"_id": did, "_title": title, "_license": lic, "_url": url, "_model": MODEL, "_used": used})
open(OUT, "a").write(json.dumps(t, ensure_ascii=False) + "\n")
if used:
ingest(did, title, t, lic, url)
manifest.append({"id": did, "title": title, "source": f"NASA NTRS {did}", "license": lic, "url": url,
"used": used, "component": t.get("component", ""), "failure_mode": t.get("failure_mode", ""),
"confidence": t.get("confidence", "")})
processed += 1
json.dump({"generated": "nightly", "model": MODEL, "count": len(manifest), "documents": manifest},
open(MANIFEST, "w"), ensure_ascii=False, indent=1)
print(f" [{processed}] {did} used={used} {t.get('component','?')}{t.get('failure_mode','?')} ({usage.get('input_tokens')}in)", flush=True)
used_n = sum(1 for m in manifest if m["used"])
print(f"DONE: {processed} processed, {used_n} used (applicable) -> {MANIFEST}", flush=True)
if __name__ == "__main__":
main()