mirror of
https://github.com/Sea-Haven-Industries/apm-wo-analysis.git
synced 2026-09-30 11:13:14 +00:00
eb724580e0
Implement the core classification engine and wire it into the pipeline stack. classify.py: two-axis classifier — HTML-strip, comment-intent regex buckets (escalations → status inquiry, most-specific first), Hold Reason / WO Status structured state, comment-vs-state mismatch detector, and a Claude Haiku fallback (Secrets Manager key) reserved for ambiguous free-text. Exports ESCALATION_CATEGORIES / ACTION_NEEDED_CATEGORIES. handler.py: S3-triggered handler — parse xlsx/csv, classify each non-blank row, write a per-WO Parquet snapshot to analytics/dt=YYYY-MM-DD/ (registers the Glue partition via awswrangler) and a summary.json for slack-post (Phase 4). pipeline_stack.py: Glue database, ARM64 Python 3.12 classifier Lambda (Docker-bundled deps), S3 raw/ notification (.xlsx/.csv), and least-privilege IAM (read raw/, read-write analytics/, scoped Glue catalog, read Anthropic key). Smoke-tested against the real export: 347 rows, "Other" at 5.2% (target ~9%), 18 mismatches flagged. 7/7 unit + smoke tests pass; cdk synth green.
551 lines
19 KiB
Python
551 lines
19 KiB
Python
"""Two-axis APM work-order classifier — the core domain logic.
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Axis 1 — comment intent: regex over the HTML-stripped ``Last Comment``,
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most-specific first.
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Axis 2 — structured state: ``Hold Reason`` + ``WO Status``.
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Resolution: comment intent wins when confident, else structured state, else
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``Other``. A Claude Haiku fallback (Secrets Manager
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``apm-wo-analysis/anthropic-api-key``) is reserved strictly for ambiguous
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free-text with no structured signal. A mismatch detector flags when comment
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intent contradicts structured state — surface, never suppress.
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The authoritative spec is CLAUDE.md ("The classification model"). This module
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is owned by the classifier-engineer agent; the rule ladder and Haiku fallback
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are implemented in Phase 2 (docs/BUILD.md) and smoke-tested against a real
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export before merge.
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``classify()`` is fully deterministic: no network, no AWS, no Secrets access.
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The Haiku fallback lives in ``classify_with_haiku()`` and is never reached from
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inside ``classify()``.
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"""
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from __future__ import annotations
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import html
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import os
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import re
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# Axis 2 — Hold Reason → category.
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HOLD_TO_CATEGORY = {
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"SCHEDULING": "Awaiting Scheduling",
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"REPORT": "Report / Docs Needed",
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"VENDOR": "Awaiting Vendor / Parts",
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"PARTS": "Awaiting Vendor / Parts",
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"ORDER": "Awaiting Vendor / Parts",
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"VERIFY": "Verification Needed",
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"RESOURCE": "Resource Hold",
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"NOEQUIP": "No Equipment",
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}
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# Axis 2 — WO Status signals.
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WO_STATUS_CANCELLED = "RCAN" # → Cancelled
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WO_STATUS_HOLD = "H" # corroborates On Hold
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WO_STATUS_IN_FLIGHT = frozenset({"IP", "R", "RR"})
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ESCALATION_CATEGORIES = frozenset(
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{
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"1st Escalation",
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"2nd Escalation",
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"3rd Escalation",
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"SIM Ticket",
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"Other Escalation",
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}
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)
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ACTION_NEEDED_CATEGORIES = ESCALATION_CATEGORIES | frozenset(
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{
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"Awaiting Scheduling",
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"Report / Docs Needed",
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"Awaiting Report / Invoice",
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"Awaiting Vendor / Parts",
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"Status Inquiry",
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"Vendor No-Show",
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}
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)
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# ---------------------------------------------------------------------------
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# Axis 1 — HTML stripping
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# ---------------------------------------------------------------------------
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_TAG_RE = re.compile(r"<[^>]+>")
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_URL_RE = re.compile(r"https?://\S+", re.IGNORECASE)
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_WS_RE = re.compile(r"\s+")
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# Smart quotes / dashes → ASCII so the rule ladder can use plain patterns.
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_SMART_MAP = {
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"‘": "'", # left single quote
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"’": "'", # right single quote
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"‚": "'", # single low-9 quote
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"‛": "'", # single high-reversed-9 quote
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"“": '"', # left double quote
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"”": '"', # right double quote
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"„": '"', # double low-9 quote
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"«": '"', # left guillemet
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"»": '"', # right guillemet
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"–": "-", # en dash
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"—": "-", # em dash
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"…": "...", # ellipsis
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" ": " ", # non-breaking space
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}
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_SMART_RE = re.compile("|".join(map(re.escape, _SMART_MAP)))
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def strip_html(comment: str | None) -> str:
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"""Unwrap the HTML-wrapped Last Comment into clean plain text.
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Drops the ``<html>...</html>`` wrapper and all nested tags, decodes HTML
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entities, normalises smart quotes/dashes to ASCII, reduces embedded URLs to
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a readable ``link`` token, and collapses whitespace. ``None``/blank → "".
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"""
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if comment is None:
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return ""
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text = str(comment)
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# Decode entities first so e.g. <div> becomes a real tag we can strip,
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# then strip tags, then decode again for entities that were *inside* text.
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text = html.unescape(text)
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text = _TAG_RE.sub(" ", text)
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text = html.unescape(text)
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# Reduce URLs to a readable token (the raw link is noise for matching).
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text = _URL_RE.sub(" link ", text)
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text = _SMART_RE.sub(lambda m: _SMART_MAP[m.group(0)], text)
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text = _WS_RE.sub(" ", text).strip()
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return text
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# ---------------------------------------------------------------------------
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# Axis 1 — comment intent rule ladder (most-specific first)
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# ---------------------------------------------------------------------------
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def comment_intent(comment: str) -> str | None:
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"""Ordered, most-specific-first rule ladder over the *stripped* text.
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Returns one of the Axis-1 buckets in CLAUDE.md, or ``None`` when no rule
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fires. The caller is responsible for stripping HTML first; this operates on
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plain text. Ordering matters: the most specific / highest-severity intents
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are tested before generic ones so e.g. a 3rd-attempt escalation never falls
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through to a generic "report needed" rule.
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"""
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if not comment:
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return None
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t = comment
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low = t.lower()
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# -- Escalations: APM "Nth attempt process" cadence + explicit escalations.
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# Most-specific first: 3rd → 2nd → 1st. "Email/phone escalation sent" is the
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# escalation tell; the "attempt" number sets the level. A bare 1st-attempt
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# schedule-confirmation request is routine outreach, not an escalation, so
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# require an escalation/attempt signal beyond the plain "1st attempt".
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if re.search(r"\b3rd\b.*\battempt\b", low) or "3rd escalation" in low:
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return "3rd Escalation"
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if re.search(r"\b2nd\b.*\battempt\b", low) or "2nd escalation" in low:
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return "2nd Escalation"
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if "1st escalation" in low:
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return "1st Escalation"
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# -- SIM Ticket: Amazon SIM tooling references.
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if (
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re.search(r"\bsim\b.*\b(ticket|tt|v\d{6,})\b", low)
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or "t.corp.amazon.com" in low
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or re.search(r"\bsim\s*tt\b", low)
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):
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return "SIM Ticket"
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# -- Vendor No-Show: vendor failed to appear for a scheduled visit.
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if (
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"no show" in low
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or "no-show" in low
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or "noshow" in low
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or "did not show up" in low
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or "didn't show up" in low
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or "did not show" in low
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or "failed to show" in low
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):
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return "Vendor No-Show"
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# -- Cancelled: explicit cancellation language in the comment.
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if re.search(r"\bwo cancelled\b", low) or re.search(
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r"\bcancel(l)?ed\b.*\b(error|deprecat)", low
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):
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return "Cancelled"
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# -- Weekly WO Scheduled: the recurring-weekly cadence template.
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if re.search(r"\bweekly\s+wo\s+scheduled\b", low) or (
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"weekly" in low and "service reports are required weekly" in low
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):
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return "Weekly WO Scheduled"
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# -- Avetta Project Created: an Avetta project/work-request was opened.
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if re.search(r"\bavetta\s+project\s+created\b", low) or re.search(
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r"\bwork request\b.*\bcreated in avetta\b", low
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):
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return "Avetta Project Created"
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# -- Schedule Confirmed: vendor/site has a confirmed (re)schedule.
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if (
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"schedule confirmed with vendor" in low
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or "scheduled confirmed with vendor" in low
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or re.search(r"\bschedule is confirmed\b", low)
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or re.search(r"\b(re)?scheduling confirmed\b", low)
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or re.search(r"\bconfirmed scheduled date\b", low)
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or re.search(r"\bconfirmed schedule(d)? (date|for)\b", low)
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or re.search(r"\bvendor confirmed\b", low)
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or re.search(r"^confirmed\b", low)
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):
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return "Schedule Confirmed"
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# -- Completed / Pending Close: work done but WO not yet closed.
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if (
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re.search(r"\bperformed task\b", low)
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or re.search(r"\bcompleted by\b", low)
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or re.search(r"\bcan'?t close\b", low) # cant/can't close
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or re.search(r"\bcannot close\b", low)
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or re.search(r"\bunable to close\b", low)
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or "will not allow me to close" in low
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or "will not let me close" in low
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or re.search(r"\bpending close\b", low)
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):
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return "Completed / Pending Close"
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# -- Rescheduled: an explicit reschedule/new-date event (no confirmation).
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if (
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re.search(r"\brescheduled\b", low)
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or re.search(r"\bre-?scheduling\b", low)
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or re.search(r"\bnew eta\b", low)
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or re.search(r"\btentative(ly)? schedule", low)
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):
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return "Rescheduled"
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# -- Report / Docs Needed: completion/service report or docs are requested.
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if (
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"completion report" in low
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or "service report" in low
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or "completion validation" in low
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or re.search(r"\bservice reports? (are )?(required|needed)\b", low)
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or re.search(r"\bpm service report\b", low)
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or re.search(r"\b(upload|provide).{0,30}\b(report|document|docs|jha)\b", low)
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or re.search(r"\bclosing documents\b", low)
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or re.search(r"\bcompletion document", low)
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):
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return "Report / Docs Needed"
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# -- Awaiting Report / Invoice: waiting on a report or invoice to land.
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if (
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re.search(r"\bpending reports?\b", low)
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or re.search(r"\bawaiting (the )?(report|invoice)\b", low)
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or re.search(r"\binvoice from\b", low)
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or re.search(r"\bawaiting invoice\b", low)
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):
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return "Awaiting Report / Invoice"
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# -- Awaiting Scheduling: asking the team/vendor to schedule or confirm.
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if (
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re.search(r"\bplease s?c?hedule\b", low) # "please schedule"/"shedule" typo
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or re.search(r"\bplease provide schedul", low)
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or re.search(r"\bplease advise on schedul", low)
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or re.search(r"\bprovide update on schedul", low)
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or re.search(r"\bneeds? (a )?confirmed schedul", low)
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or re.search(r"\bget (this )?scheduled\b", low)
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or re.search(r"\bschedule confirmation\b", low)
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or re.search(r"\bupdates? on scheduling\b", low)
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or re.search(r"\bget this scheduled\b", low)
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or re.search(r"\bwaiting for a schedule", low)
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or re.search(r"\bawaiting (a )?schedul", low)
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or re.search(r"\b1\s*st attempt process for schedule confirmation\b", low)
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or re.search(r"\brequesting service date\b", low)
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or re.search(r"\bneed(s|ed)? to (be )?(re)?schedul", low)
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or re.search(r"\bcan we (please )?get this scheduled\b", low)
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):
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return "Awaiting Scheduling"
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# -- Status Inquiry: a question about status/ETA/updates.
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if (
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re.search(r"\bany update", low)
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or re.search(r"\bupdates?\?", low)
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or re.search(r"\beta\b", low) # any mention of an ETA is a status inquiry
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or re.search(r"\bdo you have an eta\b", low)
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or (low.endswith("?") and ("update" in low or "eta" in low))
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or re.search(r"\bplease confirm whether\b", low)
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or re.search(r"\bconfirm completion or scheduling status\b", low)
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):
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return "Status Inquiry"
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# -- On Hold: explicit on-hold language in the comment.
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if re.search(r"\bon[- ]?hold\b", low) or re.search(r"\bwork order on hold\b", low):
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return "On Hold"
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# -- Acknowledgement / No-op: terse acks ("Copy", "Copy 5/26.").
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if re.fullmatch(r"copy[.\s\d/]*", low) or re.fullmatch(
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r"(noted|ack(nowledged)?)[.\s]*", low
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):
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return "Acknowledgement / No-op"
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return None
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# ---------------------------------------------------------------------------
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# Resolution policy + mismatch detection
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# ---------------------------------------------------------------------------
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# Comment intents that assert the work is essentially done / scheduled.
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_DONE_INTENTS = frozenset(
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{
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"Completed / Pending Close",
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"Schedule Confirmed",
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}
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)
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def _hold_category(hold_reason: str | None) -> str | None:
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if not hold_reason:
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return None
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return HOLD_TO_CATEGORY.get(hold_reason.strip().upper())
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def _mismatch(
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intent: str | None,
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wo_status: str | None,
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hold_reason: str | None,
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) -> str | None:
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"""Flag when comment intent contradicts the structured state.
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A mismatch is a feature, not noise: it surfaces WOs whose free-text claims
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progress the structured state has not caught up with. The returned string is
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human-readable and goes straight onto the snapshot row.
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"""
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if intent is None:
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return None
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status = (wo_status or "").strip().upper()
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hold = (hold_reason or "").strip().upper()
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# Comment claims completion/confirmation while still on a blocking hold.
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if intent in _DONE_INTENTS and hold in {
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"REPORT",
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"SCHEDULING",
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"VENDOR",
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"PARTS",
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"ORDER",
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}:
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verb = (
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"completed"
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if intent == "Completed / Pending Close"
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else "schedule confirmed"
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)
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return f"comment says {verb} but WO is on a {hold} hold"
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# Comment claims completion while the WO Status is still in-flight.
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if intent == "Completed / Pending Close" and status in WO_STATUS_IN_FLIGHT:
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return f"comment says completed but WO Status is {status}"
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# Comment claims a vendor no-show while the WO carries a schedule-confirmed
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# type hold — the two stories disagree.
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if intent == "Vendor No-Show" and hold == "SCHEDULING":
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return "comment reports vendor no-show but WO is on a SCHEDULING hold"
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return None
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def classify(
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wo_status: str | None,
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hold_reason: str | None,
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last_comment: str | None,
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) -> tuple[str, str | None]:
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"""Resolve to ``(final_category, mismatch_reason | None)``.
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Fully deterministic — no network, no AWS. Resolution policy:
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1. Comment intent wins when confident (the ladder fired).
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2. Else structured state: ``Hold Reason`` map, then ``WO Status``
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(``RCAN`` → Cancelled, ``H`` corroborates On Hold).
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3. Else ``Other``.
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Regardless of which axis decides the category, a mismatch reason is computed
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whenever the comment intent contradicts the structured state and surfaced on
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the result (never suppressed).
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"""
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status = (wo_status or "").strip().upper()
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text = strip_html(last_comment)
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intent = comment_intent(text)
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mismatch = _mismatch(intent, status, hold_reason)
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# 1. Comment intent wins when confident.
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if intent is not None:
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return intent, mismatch
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# 2. Structured state.
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hold_cat = _hold_category(hold_reason)
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if hold_cat is not None:
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return hold_cat, mismatch
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if status == WO_STATUS_CANCELLED:
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return "Cancelled", mismatch
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if status == WO_STATUS_HOLD:
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return "On Hold", mismatch
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# 3. Nothing matched.
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return "Other", mismatch
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# ---------------------------------------------------------------------------
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# Haiku fallback — isolated, lazy, network-only, NEVER reached from classify()
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# ---------------------------------------------------------------------------
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_HAIKU_MODEL = "claude-haiku-4-5-20251001"
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_SECRET_NAME = "apm-wo-analysis/anthropic-api-key"
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_ANTHROPIC_URL = "https://api.anthropic.com/v1/messages"
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_ANTHROPIC_VERSION = "2023-06-01"
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# Buckets Haiku is allowed to choose from (Axis-1 taxonomy).
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_HAIKU_BUCKETS = (
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"1st Escalation",
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"2nd Escalation",
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"3rd Escalation",
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"SIM Ticket",
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"Vendor No-Show",
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"Weekly WO Scheduled",
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"Schedule Confirmed",
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"Awaiting Scheduling",
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"Report / Docs Needed",
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"Awaiting Report / Invoice",
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"Completed / Pending Close",
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"Acknowledgement / No-op",
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"Cancelled",
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"On Hold",
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"Rescheduled",
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"Avetta Project Created",
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"Other Escalation",
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"Status Inquiry",
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"Other",
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)
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def _haiku_enabled() -> bool:
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"""The fallback is gated behind ``APM_HAIKU_FALLBACK`` (default enabled)."""
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return os.environ.get("APM_HAIKU_FALLBACK", "1").strip().lower() not in {
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"0",
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"false",
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"no",
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"off",
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"",
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}
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def _is_trivial(text: str) -> bool:
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"""Too short / contentless to be worth an LLM call."""
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return len(text) < 4
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def _fetch_api_key() -> str:
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"""Read the Anthropic key from Secrets Manager (lazy, call-time only)."""
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import json
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import boto3 # imported lazily so classify()/tests never need boto3
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client = boto3.client("secretsmanager")
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resp = client.get_secret_value(SecretId=_SECRET_NAME)
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raw = resp.get("SecretString") or ""
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raw = raw.strip()
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# Support both a bare string secret and a JSON {"anthropic-api-key": "..."}.
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if raw.startswith("{"):
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data = json.loads(raw)
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for key in ("anthropic-api-key", "ANTHROPIC_API_KEY", "api_key", "key"):
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if key in data:
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return data[key]
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# Single-value JSON object: take the only value.
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if len(data) == 1:
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return next(iter(data.values()))
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raise KeyError("anthropic api key not found in secret JSON")
|
||
return raw
|
||
|
||
|
||
def _call_haiku(text: str, api_key: str) -> str | None:
|
||
"""POST to the Anthropic messages API via stdlib urllib; return a bucket."""
|
||
import json
|
||
import urllib.error
|
||
import urllib.request
|
||
|
||
bucket_list = "\n".join(f"- {b}" for b in _HAIKU_BUCKETS)
|
||
prompt = (
|
||
"You classify a maintenance work-order's last comment into exactly one "
|
||
"category. The deterministic rules failed and there is no structured "
|
||
"hold signal, so judge the free text alone. Reply with ONLY the exact "
|
||
"category name from this list, nothing else:\n"
|
||
f"{bucket_list}\n\n"
|
||
f"Comment:\n{text}"
|
||
)
|
||
body = json.dumps(
|
||
{
|
||
"model": _HAIKU_MODEL,
|
||
"max_tokens": 20,
|
||
"messages": [{"role": "user", "content": prompt}],
|
||
}
|
||
).encode("utf-8")
|
||
req = urllib.request.Request(
|
||
_ANTHROPIC_URL,
|
||
data=body,
|
||
headers={
|
||
"content-type": "application/json",
|
||
"x-api-key": api_key,
|
||
"anthropic-version": _ANTHROPIC_VERSION,
|
||
},
|
||
method="POST",
|
||
)
|
||
try:
|
||
with urllib.request.urlopen(req, timeout=15) as resp:
|
||
payload = json.loads(resp.read().decode("utf-8"))
|
||
except (urllib.error.URLError, TimeoutError, ValueError):
|
||
return None
|
||
|
||
parts = payload.get("content") or []
|
||
raw = "".join(p.get("text", "") for p in parts if isinstance(p, dict)).strip()
|
||
if not raw:
|
||
return None
|
||
# Normalise: pick the listed bucket that matches the model's reply.
|
||
for bucket in _HAIKU_BUCKETS:
|
||
if bucket.lower() == raw.lower():
|
||
return bucket
|
||
for bucket in _HAIKU_BUCKETS:
|
||
if bucket.lower() in raw.lower():
|
||
return bucket
|
||
return None
|
||
|
||
|
||
def classify_with_haiku(
|
||
wo_status: str | None,
|
||
hold_reason: str | None,
|
||
last_comment: str | None,
|
||
) -> tuple[str, str | None]:
|
||
"""Deterministic ``classify()`` first; Haiku only for true residual ``Other``.
|
||
|
||
The LLM is consulted strictly when ALL hold:
|
||
* deterministic result is ``Other``;
|
||
* ``Hold Reason`` is blank (no structured signal to fall back on);
|
||
* the stripped comment is non-trivial;
|
||
* ``APM_HAIKU_FALLBACK`` is enabled.
|
||
|
||
Everything network-related (boto3, the Anthropic call) is imported and
|
||
invoked lazily here, so ``classify()`` and the test-suite never touch it.
|
||
The mismatch reason from the deterministic pass is preserved.
|
||
"""
|
||
category, mismatch = classify(wo_status, hold_reason, last_comment)
|
||
|
||
if category != "Other":
|
||
return category, mismatch
|
||
if (hold_reason or "").strip():
|
||
return category, mismatch
|
||
if not _haiku_enabled():
|
||
return category, mismatch
|
||
|
||
text = strip_html(last_comment)
|
||
if _is_trivial(text):
|
||
return category, mismatch
|
||
|
||
try:
|
||
api_key = _fetch_api_key()
|
||
guess = _call_haiku(text, api_key)
|
||
except Exception:
|
||
return category, mismatch
|
||
|
||
if guess and guess != "Other":
|
||
return guess, mismatch
|
||
return category, mismatch
|