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>
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Benjamin Admin
@@ -29,6 +29,14 @@ func (h *IACEHandler) ListFailureKnowledge(c *gin.Context) {
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})
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}
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// ListFailureSources handles GET /failure-knowledge/sources.
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// The source-document register for the FMEA frontend: EVERY document we use,
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// with its source + licence + URL (and what was extracted). Always visible so an
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// auditor sees the full provenance of the failure-knowledge corpus.
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func (h *IACEHandler) ListFailureSources(c *gin.Context) {
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c.JSON(http.StatusOK, iace.GetFailureSources())
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}
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// HarvestNTRSFailures handles GET /failure-knowledge/ntrs.
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// Live-harvests NASA NTRS lessons-learned metadata and returns only the records
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// that pass the public-reuse licence gate (Stage 1 of the bulk loader). Tuple
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@@ -33,6 +33,7 @@ func registerIACERoutes(v1 *gin.RouterGroup, h *handlers.IACEHandler) {
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iaceRoutes.GET("/minimum-distances", h.ListMinimumDistances)
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iaceRoutes.GET("/failure-knowledge", h.ListFailureKnowledge)
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iaceRoutes.GET("/failure-knowledge/ntrs", h.HarvestNTRSFailures)
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iaceRoutes.GET("/failure-knowledge/sources", h.ListFailureSources)
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iaceRoutes.GET("/tags", h.ListTags)
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iaceRoutes.GET("/hazard-patterns", h.ListHazardPatterns)
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@@ -0,0 +1,6 @@
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{
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"generated": "pending-first-run",
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"model": "claude-haiku-4-5-20251001",
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"count": 0,
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"documents": []
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}
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@@ -0,0 +1,46 @@
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package iace
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import (
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_ "embed"
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"encoding/json"
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)
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// Source-document register for the FMEA failure-knowledge corpus. The manifest
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// is generated by the Anthropic extraction run (scripts/fmea_anthropic_extract.py)
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// and committed here, so the FMEA frontend can ALWAYS show every source document
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// we use — with its source + licence — straight from the deployed binary.
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// Each entry is auditable: a public URL + the licence under which we use it.
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//go:embed datasources/nasa_failure_sources.json
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var failureSourcesJSON []byte
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// FailureSourceDoc is one source document in the register.
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type FailureSourceDoc struct {
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ID int64 `json:"id"`
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Title string `json:"title"`
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Source string `json:"source"`
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License string `json:"license"`
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URL string `json:"url"`
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Used bool `json:"used"` // true = applicable failure, ingested into the corpus
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Component string `json:"component"` // extracted (empty if not used)
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FailureMode string `json:"failure_mode"`
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Confidence string `json:"confidence"`
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}
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// FailureSources is the full register manifest.
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type FailureSources struct {
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Generated string `json:"generated"`
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Model string `json:"model"`
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Count int `json:"count"`
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Documents []FailureSourceDoc `json:"documents"`
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}
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// GetFailureSources returns the embedded source-document register.
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func GetFailureSources() FailureSources {
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var fs FailureSources
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_ = json.Unmarshal(failureSourcesJSON, &fs)
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if fs.Documents == nil {
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fs.Documents = []FailureSourceDoc{}
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}
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return fs
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}
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@@ -0,0 +1,20 @@
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package iace
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import "testing"
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// The embedded manifest must always parse and every document must carry a
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// source + licence (the register is the auditable provenance shown in the UI).
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func TestGetFailureSources_ParsesAndAttributed(t *testing.T) {
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fs := GetFailureSources()
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if fs.Documents == nil {
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t.Fatal("documents must never be nil")
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}
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for _, d := range fs.Documents {
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if d.Source == "" || d.License == "" {
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t.Errorf("doc %d missing source/license: %+v", d.ID, d)
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}
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if !FailureKnowledgeLicenseAllowed(d.License) {
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t.Errorf("doc %d carries a non-allowed licence %q", d.ID, d.License)
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}
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}
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}
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@@ -0,0 +1,187 @@
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#!/usr/bin/env python3
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"""Quote-verifiable FailureKnowledge extraction via the Anthropic API.
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Sends each NASA NTRS PDF DIRECTLY to Claude (native PDF + vision, incl. scanned)
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and forces a structured tool call whose schema REQUIRES a verbatim source quote
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for the key fields — every value is auditable against the document. Only
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public-reuse-licensed NTRS docs are processed. applicable=true tuples are
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ingested into bp_iace_failure_kb; EVERY processed doc is recorded in the source
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manifest (used vs checked-not-used) for the FMEA frontend register.
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Env: ANTHROPIC_API_KEY (req), ANTHROPIC_MODEL (default claude-haiku-4-5-20251001),
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MAX_DOCS (default 100), RAG (default https://127.0.0.1:8097).
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Out: /tmp/fmea_harvest/anthropic.jsonl, /tmp/fmea_harvest/nasa_failure_sources.json
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"""
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import base64, json, os, ssl, subprocess, sys, time, urllib.parse, urllib.request, urllib.error
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API = "https://api.anthropic.com/v1/messages"
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NTRS = "https://ntrs.nasa.gov"
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RAG = os.environ.get("RAG", "https://127.0.0.1:8097")
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COLLECTION = "bp_iace_failure_kb"
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MODEL = os.environ.get("ANTHROPIC_MODEL", "claude-haiku-4-5-20251001")
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KEY = os.environ.get("ANTHROPIC_API_KEY", "")
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MAX_DOCS = int(os.environ.get("MAX_DOCS", "100"))
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WORK = "/tmp/fmea_harvest"
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OUT = f"{WORK}/anthropic.jsonl"
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MANIFEST = f"{WORK}/nasa_failure_sources.json"
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QUERIES = ["lessons learned failure", "lessons learned anomaly valve seal bearing motor",
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"failure investigation fracture leak short corrosion", "reliability failure mechanism component"]
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os.makedirs(WORK, exist_ok=True)
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_ctx = ssl.create_default_context()
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_ctx.check_hostname = False
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_ctx.verify_mode = ssl.CERT_NONE
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TOOL = {
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"name": "record_failure",
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"description": "Record the hardware failure described in the document, with verbatim source quotes.",
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"input_schema": {"type": "object", "properties": {
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"applicable": {"type": "boolean", "description": "true ONLY if the document describes a concrete hardware/component failure"},
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"component": {"type": "string"}, "component_quote": {"type": "string", "description": "verbatim sentence naming the component"},
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"failure_mode": {"type": "string"}, "failure_mode_quote": {"type": "string", "description": "verbatim sentence describing how it failed"},
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"mechanism": {"type": "string"}, "effect": {"type": "string"},
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"hazard": {"type": "string", "enum": ["mechanical_hazard", "electrical_hazard", "thermal_hazard", "fire_explosion", "pneumatic_hydraulic", "none"]},
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"control": {"type": "string"}, "confidence": {"type": "string", "enum": ["high", "medium", "low"]}},
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"required": ["applicable", "component", "failure_mode", "component_quote", "failure_mode_quote", "confidence"]},
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}
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PROMPT = ("Read this NASA engineering document and extract the single primary hardware failure. Use the "
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"record_failure tool. Quote the SOURCE SENTENCE verbatim for component and failure_mode. If the "
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"document does not describe a concrete component failure, call the tool with applicable=false. "
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"Never invent values — leave a field empty rather than guess.")
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def get_json(url, data=None, headers=None, timeout=120):
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req = urllib.request.Request(url, data=data, headers=headers or {})
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with urllib.request.urlopen(req, timeout=timeout, context=_ctx) as r:
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return json.load(r)
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def ntrs_usable(l):
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if str(l.get("distribution", "")).upper() != "PUBLIC":
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return False
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ec = l.get("exportControl") or {}
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if any(str(ec.get(k, "")).upper() == "YES" for k in ("isExportControl", "ear", "itar")):
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return False
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if (l.get("cui") or {}).get("isCui"):
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return False
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cp = l.get("copyright") or {}
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if cp.get("containsThirdPartyMaterial"):
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return False
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return str(cp.get("determinationType", "")).upper() in ("PUBLIC_USE_PERMITTED", "GOV_PUBLIC_USE_PERMITTED")
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def pdf_url(l):
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for d in l.get("downloads", []):
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if "pdf" in str(d.get("mimetype", "")).lower():
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o = (d.get("links") or {}).get("original")
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if o:
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return NTRS + o
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return None
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def extract(pdf_b64):
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body = json.dumps({"model": MODEL, "max_tokens": 1024, "tools": [TOOL],
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"tool_choice": {"type": "tool", "name": "record_failure"},
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"messages": [{"role": "user", "content": [
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{"type": "document", "source": {"type": "base64", "media_type": "application/pdf", "data": pdf_b64}},
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{"type": "text", "text": PROMPT}]}]}).encode()
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hdr = {"x-api-key": KEY, "anthropic-version": "2023-06-01", "content-type": "application/json"}
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for attempt in (1, 2):
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try:
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resp = get_json(API, body, hdr, timeout=180)
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for b in resp.get("content", []):
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if b.get("type") == "tool_use":
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return b.get("input"), resp.get("usage", {})
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return None, resp.get("usage", {})
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except (urllib.error.URLError, ConnectionError) as e:
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if attempt == 2:
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raise
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time.sleep(3)
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return None, {}
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def ingest(did, title, t, lic, url):
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md = (f"# NASA Lesson {did}: {title}\n\n- Source: NASA NTRS {did}\n- License: {lic}\n- URL: {url}\n"
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f"- verified: false (Claude-extracted, quote-checked)\n\n"
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f"Component: {t.get('component','')}\nFailure mode: {t.get('failure_mode','')}\n"
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f"Mechanism: {t.get('mechanism','')}\nEffect: {t.get('effect','')}\nHazard: {t.get('hazard','')}\n"
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f"Control: {t.get('control','')}\nConfidence: {t.get('confidence','')}\n\n"
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f"Component quote: {t.get('component_quote','')}\nFailure-mode quote: {t.get('failure_mode_quote','')}\n")
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p = f"{WORK}/fk_{did}.md"
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open(p, "w").write(md)
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meta = json.dumps({"title": f"NASA NTRS {did}: {title}"[:120], "license": lic, "source": f"NASA NTRS {did}", "verified": "false"})
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r = subprocess.run(["curl", "-sk", "--max-time", "90", "-X", "POST", f"{RAG}/api/v1/documents/upload",
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"-F", f"file=@{p}", "-F", f"collection={COLLECTION}", "-F", "data_type=failure_kb",
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"-F", "use_case=iace_fmea", "-F", "year=2024", "-F", f"metadata_json={meta}"],
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capture_output=True, text=True, timeout=120)
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try:
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os.remove(p)
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except Exception:
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pass
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return "chunks_count" in r.stdout
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def main():
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if not KEY:
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print("ERROR: ANTHROPIC_API_KEY not set", file=sys.stderr); sys.exit(1)
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subprocess.run(["curl", "-sk", "-X", "POST", f"{RAG}/api/v1/collections", "-H", "Content-Type: application/json",
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"-d", json.dumps({"name": COLLECTION, "vector_size": 1024})], capture_output=True)
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manifest, seen, processed = [], set(), 0
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for q in QUERIES:
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if processed >= MAX_DOCS:
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break
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for frm in (0, 100, 200):
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if processed >= MAX_DOCS:
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break
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try:
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res = get_json(f"{NTRS}/api/citations/search?q={urllib.parse.quote(q)}&page.size=100&page.from={frm}&highlight=false", timeout=90)
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except Exception as e:
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print(f"search '{q}'@{frm} error: {e}", flush=True); continue
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for l in res.get("results", []):
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if processed >= MAX_DOCS:
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break
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did = l.get("id")
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if not did or did in seen:
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continue
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if not ntrs_usable(l):
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continue
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url = pdf_url(l)
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if not url:
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continue
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seen.add(did)
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pdf = f"{WORK}/{did}.pdf"
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subprocess.run(["curl", "-sL", "--max-time", "150", "-o", pdf, url], capture_output=True)
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sz = os.path.getsize(pdf) if os.path.exists(pdf) else 0
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if sz < 1000 or sz > 30_000_000:
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try:
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os.remove(pdf)
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except Exception:
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pass
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continue
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b64 = base64.b64encode(open(pdf, "rb").read()).decode()
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os.remove(pdf)
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try:
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t, usage = extract(b64)
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except Exception as e:
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print(f" {did} extract error: {e}", flush=True); continue
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if not t:
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continue
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title = (l.get("title") or "")[:110]
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lic = f"Public Domain (NASA NTRS, {(l.get('copyright') or {}).get('determinationType','')})"
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used = bool(t.get("applicable"))
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t.update({"_id": did, "_title": title, "_license": lic, "_url": url, "_model": MODEL, "_used": used})
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open(OUT, "a").write(json.dumps(t, ensure_ascii=False) + "\n")
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if used:
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ingest(did, title, t, lic, url)
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manifest.append({"id": did, "title": title, "source": f"NASA NTRS {did}", "license": lic, "url": url,
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"used": used, "component": t.get("component", ""), "failure_mode": t.get("failure_mode", ""),
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"confidence": t.get("confidence", "")})
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processed += 1
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json.dump({"generated": "nightly", "model": MODEL, "count": len(manifest), "documents": manifest},
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open(MANIFEST, "w"), ensure_ascii=False, indent=1)
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print(f" [{processed}] {did} used={used} {t.get('component','?')}→{t.get('failure_mode','?')} ({usage.get('input_tokens')}in)", flush=True)
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used_n = sum(1 for m in manifest if m["used"])
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print(f"DONE: {processed} processed, {used_n} used (applicable) -> {MANIFEST}", flush=True)
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if __name__ == "__main__":
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main()
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Block a user