procurement-ingest/lambdas/wo/email_processor/tests/test_comment_id.py

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feat: template-first WO parser + Bedrock fallback, PO Bedrock switch (#99) * Add deterministic template parser for WO emails The workorder-email-processor sends every one of ~22.9k emails/month to an LLM, but ~93.6% are the plain-text "AMAZON UPDATE WO DETAILS" comment template and ~6.4% the HTML "AMAZON assign Work Order" template. Parse those two shapes deterministically, offline, so the AI call is reserved for the long tail. The module is pure (no boto3, no network). try_deterministic_parse classifies by subject, extracts the shared contract fields, and returns a result ONLY when it passes a strict fail-closed validation gate: exact contract-key set, subject/id agreement, the literal "Work Order: <id>" double space, per-type required fields, site-code shape, and a label-bleed guard so a value that over-ran into the next field fails. Any miss, drift, or extractor exception yields None so the caller falls back to the AI extractor -- data is never corrupted, only the fallback rate rises. Refs: #23 * Migrate WO processor to Bedrock and fix comment_id collision Switch the AI path from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so parsing no longer needs a provider API key or Secrets Manager secret. The EXTRACTION_PROMPT and JSON contract are kept byte-identical, so the AI-fallback output is unchanged. Try the new deterministic template parser first and only call Bedrock on a miss/invalid result. Fix issue #23: the WorkOrderComments range key was work_order_id#<comment_time>, so two emails on one WO with an identical or absent comment time collided and overwrote each other. Derive a 12-hex suffix from the S3 object key alone -- deterministic, so an async retry of the same object is byte-identical (idempotent) while distinct emails get distinct keys -- and keep wall-clock now() out of the key (literal 'nocomment' segment when comment_time is absent). Also emit one CloudWatch EMF line per record (Seahaven/WorkorderIngest ParseOutcome, dimensioned by ParseMethod/TemplateId) for parse-outcome observability, replace the deprecated datetime.utcnow() with datetime.now(timezone.utc), and drop the anthropic dependency. Refs: #23 * Migrate PO processor to Bedrock Switch the PO email processor's AI extraction from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so it no longer needs a provider API key or Secrets Manager secret. PO parsing stays fully AI -- only the provider changes. The EXTRACTION_PROMPT is kept byte-identical and the Bedrock text output is still decoded with json.loads(..., parse_float=Decimal), which DynamoDB requires (it rejects floats). Replace the deprecated datetime.utcnow() with datetime.now(timezone.utc) and drop the anthropic dependency. * Grant Bedrock IAM, drop Anthropic secrets, add fallback alarm Both stacks moved their processors from the Anthropic API to the Bedrock inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0. Grant each processor role bedrock:InvokeModel + bedrock:InvokeModelWithResponseStream on BOTH the inference-profile ARN AND the per-region foundation-model ARNs for us-east-1/us-east-2/us-west-2 (empty-account) -- the us.* profile routes cross-region, so a profile-only grant AccessDenies at runtime. Remove both anthropic-api-key Secret constructs, their grant_read, and the ANTHROPIC_API_KEY_SECRET_ARN env; add BEDROCK_MODEL_ID. The secrets had RemovalPolicy.RETAIN so they are orphaned, not deleted -- flagged in the README for manual post-deploy deletion and key revocation. Add the workorder-email-processor-template-fallback-rate alarm: a FILL(0) + >=10-sample volume-floor MathExpression over the EMF ParseOutcome metric (15-min periods) that pages when the AI-fallback share exceeds 15% sustained, catching Hexagon template drift. ALARM-only SnsAction to site-alerts, no OK action, NOT_BREACHING, matching the existing stack idiom. * Add offline WO parser test suite Cover the deterministic parser with golden-file tests over 55 real scrubbed .eml fixtures (both comment sub-shapes, username Submitted-By, address present/absent, br+CRLF assign addresses), fail-closed validation-gate rules, adversarial and prompt-injection cases that must route to ai_fallback or parse without corrupting other fields, the issue #23 comment_id idempotency invariants, and the Bedrock-fallback dispatch plus EMF-metric emission with a mocked invoke_model. Extend pytest.ini testpaths to discover the co-located suite, and update tests/conftest.load_handler to put a handler's own directory on sys.path so the WO handler's new `from template_parser import ...` resolves under the existing shared handler tests. Point test_local.py at the new template-first + Bedrock flow. Refs: #23 * Document Bedrock migration and WO parse flow in README Record the provider switch to the Bedrock inference profile (no Anthropic API key or Secrets Manager secret, with the retired secrets flagged for manual deletion), the WO deterministic-template-first + AI-fallback flow, the new ParseOutcome EMF metric and template-fallback-rate alarm, the issue #23 comment_id format change, the +00:00 aware-UTC timestamp shift, and offline test instructions. Refs: #23 * Fix f-string lint and formatting in backfill scripts Drop the f prefix from two f-strings that carry no placeholders (F541) and apply ruff format, so `ruff check` / `ruff format --check` pass in CI. * Emit ParseMethod-only EMF set so fallback alarm can fire The fallback-rate alarm queries the ParseOutcome series keyed on ParseMethod alone, but the emitter published only the joint (ParseMethod, TemplateId) dimension set. CloudWatch materializes exactly the listed dimension sets and does not auto-aggregate, so the alarm's series never received data: it evaluated a constant 0 and could never page on template-drift coverage collapse. Publish both ["ParseMethod"] and ["ParseMethod","TemplateId"] and update the EMF regression test to assert both sets are present. * Commit WO parser .eml fixtures for executable coverage The parser test suite globbed for input .eml fixtures that the repo's `*.eml` ignore rule kept uncommitted, so every parametrized golden and fail-closed test collected zero cases and CI could not exercise the deterministic parser that handles 100% of WO email volume. Add a fixtures-only negation to .gitignore and commit the 55 scrubbed positive samples (50 update-plaintext, 5 assign-html) plus 14 ai-fallback and 3 adversarial fixtures. The ai-fallback set covers each fail-closed reason code (subject_no_match, single_space_work_order, malformed_site_code, label_bleed, creation_time_unparseable, wo_id_mismatch, missing_required_field) and the adversarial set proves the parser is total and confines prompt-injection payloads to comment_text without steering the structured fields. * Fix WO parser advisories A1-A3 (PR #99 follow-ups) A1 — AI-fallback comment_id nondeterminism: parsed comment_time is model output and not stable across Lambda async retries, so on the ai_fallback path the comment_id range-key time segment now derives from the email Date header (deterministic per S3 object) instead of the model's comment_time. The template path is unchanged (its comment_time is a pure function of the raw email). Bedrock invoke pins temperature 0 so retries reproduce the same extraction. Closes the #23 reopening on the AI path. A2 — EMF record now carries the spec-required _aws.Timestamp (epoch ms) so CloudWatch reliably extracts the ParseOutcome datapoint that the fallback-rate alarm depends on. A3 — T1 New Comment capture no longer truncates at the first blank line; multi-paragraph comments are captured through internal blanks and terminate at the next label/separator. 17 golden files regenerated from the real fixtures accordingly. Hardening from the sh-security-review pass on this diff: - _header_date_iso is total: OverflowError/OSError from an extreme Date header fall back to 'nocomment' instead of failing the invocation. - _capture_block trims blanks in O(n) (no pop(0)) — removes a quadratic path on a crafted large blank run. - work_order_id is enforced digits-only on BOTH parse paths before it is used as a DynamoDB key, so prompt-injected AI output cannot forge '#' range-key segments or land on an arbitrary WO.
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"""Issue #23: comment_id (WorkOrderComments range key) must be unique per source
email AND byte-identical across Lambda async retries of the same S3 object, with
wall-clock now() kept OUT of the key.
Advisory A1: on the ai_fallback path the parsed comment_time is model output and
not retry-stable, so it must never enter the key -- the time segment derives
from the (deterministic) email Date header instead.
"""
test: consolidate test roots — one loader, shared support, enforced CI floor (phase 8) (#118) * test: consolidate test roots — one repo-root loader, shared support package, missing-scenario suites, enforced ruff/coverage floor (refactor phase 8) tests/conftest.py only loads for the tests/ root, not a standalone `pytest lambdas/po/email_processor/tests` run, so it could never carry session invariants like the dummy AWS env or the moto stubber registration. Add a single repo-root conftest.py (pytest.ini pins rootdir there, so it loads for every invocation) that sets the dummy AWS credentials/region, imports moto BEFORE any handler module so boto3 sessions pick up its stubber hook (carrying the explanatory comment verbatim from the old _po_parser_support.py), and exposes one load_lambda_module(pipeline, name) — the sys.modules save/restore dance stays, since template_parser is still a duplicated bare name across pipelines needing per-exec sibling binding. Add tests/support/ as the shared package both pipelines' local _*_parser_support.py modules delegate to: a superset FakeTable (PO's update_item recording + WO's put_item and keyed single-row store), FakeDynamoResource, load_email, and load_golden with parse_float=Decimal kept (load-bearing for exact money comparison at PO magnitudes — WO's prior load_golden had no parse_float and must not regress PO by losing it). Rewrite _wo_parser_support.py off the bare `import handler` / `from handler import parse_raw_email` strategy that was the source of the bare-name sys.modules collision the other two loaders defend against. Move test_po_merge.py and test_pad_zip.py into lambdas/po/email_processor/tests/ (PO-specific, belongs beside the code) via git mv so history follows; test_parse_raw_email.py and test_ses_auth.py stay at the repo root since they're genuinely cross-pipeline, parameterized over both handlers. Delete tests/test_local.py: it globs a nonexistent samples/ dir, is WO-only, and imports a handler at collection time, bypassing the loader gate entirely — the golden suites already cover its role. Its pytest.ini exclusion comment goes with it. New scenario coverage, all built on the single loader + support package: - PO+WO Bedrock transport errors (ThrottlingException, missing 'content' key, empty content list, non-JSON model text), asserting PO's pre-call ai_fallback metric survives with no partial write and the exception propagates; WO's no-datapoint-on-throttle behavior is pinned with a documenting test rather than "fixed" by reordering. - Handler-level SES-auth reject seam per pipeline: no auth monkeypatch + empty ALLOWED_DKIM_DOMAINS asserts zero Bedrock calls, zero writes, no raise — closing the hole where deleting the gate line today still passes every test. - web_ui coverage for both PO and WO (0% before this): fail-closed on unset ARN and on a Secrets Manager exception, TTL cache refresh, Bearer/X-Auth-Token/header-case-insensitivity, wrong-token 401 with no table scan, non-ASCII token, and a hostile-field-escaping regression lock. PO web_ui has no __init__.py, so these go through the loader rather than package imports. - A moto-backed mirror of test_po_merge for WO merge semantics (table 'WorkOrders'): null-status never clobbers wo_status, created_at immutable via if_not_exists, status->wo_status mapping, None fields absent from SET, record_type only-when-present. - Small pins: the PO-DC-02 64-char EMF clamp regression and per-pipeline multi-record failure-isolation (all-or-retry contract). The reprocess.py synthetic-event-shape contract test already landed in Phase 7, so it isn't duplicated here. Two WO product-code fixes ride along, since this is the phase that exercises them: (a) the invalid_status reason-code fix in template_parser.py's status check, which previously returned malformed_site_code for the same failure validate_ai_fallback already labels invalid_status, making one failure surface two codes depending on path (grepped the dashboards/metric filters for malformed_site_code first — no external references found, safe to diverge the two codes); (b) wrapping the WO Bedrock call in handler.py so a transport failure emits ai_fallback/bedrock_error in an except-and-reraise. This is deliberately not a naive reorder: the emit sits in the except block, not pre-call, so a gate-rejected email still emits only ai_fallback_rejected and wo_stack's "a rejected email emits nothing else" alarm contract doesn't double-count. A test computes the emitted series by hand to pin the no-double-count behavior. Neither change touches the handler event/return contract. _validate_new_po_values in the PO template_parser.py is split into per-rule helpers, and the V4 anchor-frame dataclass now carries summary_matches/price so V13 can consume them; extract_new_po (C901=35) is included in the split. Add ruff.toml enabling C901/PLR so the mccabe/complexity suppressions scattered through the tree stop being decorative; derived_fields.py is under the shadow-bake freeze so its violations are silenced via a per-file ignore with a justification comment instead of an in-file edit, and the handful of other pre-existing violations surfaced by turning the config on get the same per-file-ignore treatment with a reason, or a fix where the file isn't frozen. scripts/ is added to the CI lint scope. CI gains an explicit --cov module list (lambdas/po and wo email_processor + web_ui, po/site_extractor, lambdas/shared) plus --cov-fail-under=80, since web_ui and site_extractor lack __init__.py markers and a bare --cov=lambdas silently skips them for the missing package marker; .coveragerc omits the test dirs themselves from the count. The Phase 0 AST bundle-consistency test stays in the standard pytest run. .gitignore picks up the resulting .coverage data file. docs/po-template-parser.md gets a small correction: the EXTRACTION_PROMPT declares quantity/price as "number or null", not JSON strings, so parse_float=Decimal already handles a conforming Bedrock response — the doc previously implied the coercion path was the primary mechanism rather than a defensive net for non-conforming responses. * test: lock attribute-context quote escaping in web_ui hostile-field test The escaping regression lock asserted only the element-context vector (raw <script> absent, &lt;script&gt; present) while its docstring claimed quotes were covered -- the payload's " and ' were never asserted on, so a quote-escaping regression on the onclick row-link sink (attribute breakout -> event-handler injection) would have passed green. /sh-security-review finding WC-01 (confirmed medium, test-integrity). Add assertions that the onclick sink's JSON string renders its opening quote as &quot; (raw " after window.location= fails), that the payload's quote characters appear only entity-escaped, and that the raw payload never appears anywhere in the body. Mutation-verified: the test now fails when the sink's quote-escaping is dropped. * test: address Open SWE review — xfail the web_ui non-ASCII auth pin, document subset coverage-floor override - tests/test_web_ui_auth.py: replace the TypeError characterization pin with an xfail(strict, raises=TypeError) asserting the DESIRED fail-closed (False) behavior. Documents the intended fix and auto-fails (xpass) once web_ui_auth is corrected, instead of requiring a passing test to be knowingly deleted. The module stays frozen this phase; the underlying hmac.compare_digest ASCII-only defect is tracked as a follow-up. - pytest.ini: document that the aggregate 80% floor (enforced in CI via the reusable workflow's bare pytest) red-exits local subset runs by design, with the --cov-fail-under=0 override for iteration. Floor stays in addopts because the centralized ci-python-sam workflow exposes no per-run test command.
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from _wo_parser_support import ( # noqa: F401 (handler loads WO siblings)
wo_handler as handler,
wo_persistence as persistence,
)
feat: template-first WO parser + Bedrock fallback, PO Bedrock switch (#99) * Add deterministic template parser for WO emails The workorder-email-processor sends every one of ~22.9k emails/month to an LLM, but ~93.6% are the plain-text "AMAZON UPDATE WO DETAILS" comment template and ~6.4% the HTML "AMAZON assign Work Order" template. Parse those two shapes deterministically, offline, so the AI call is reserved for the long tail. The module is pure (no boto3, no network). try_deterministic_parse classifies by subject, extracts the shared contract fields, and returns a result ONLY when it passes a strict fail-closed validation gate: exact contract-key set, subject/id agreement, the literal "Work Order: <id>" double space, per-type required fields, site-code shape, and a label-bleed guard so a value that over-ran into the next field fails. Any miss, drift, or extractor exception yields None so the caller falls back to the AI extractor -- data is never corrupted, only the fallback rate rises. Refs: #23 * Migrate WO processor to Bedrock and fix comment_id collision Switch the AI path from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so parsing no longer needs a provider API key or Secrets Manager secret. The EXTRACTION_PROMPT and JSON contract are kept byte-identical, so the AI-fallback output is unchanged. Try the new deterministic template parser first and only call Bedrock on a miss/invalid result. Fix issue #23: the WorkOrderComments range key was work_order_id#<comment_time>, so two emails on one WO with an identical or absent comment time collided and overwrote each other. Derive a 12-hex suffix from the S3 object key alone -- deterministic, so an async retry of the same object is byte-identical (idempotent) while distinct emails get distinct keys -- and keep wall-clock now() out of the key (literal 'nocomment' segment when comment_time is absent). Also emit one CloudWatch EMF line per record (Seahaven/WorkorderIngest ParseOutcome, dimensioned by ParseMethod/TemplateId) for parse-outcome observability, replace the deprecated datetime.utcnow() with datetime.now(timezone.utc), and drop the anthropic dependency. Refs: #23 * Migrate PO processor to Bedrock Switch the PO email processor's AI extraction from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so it no longer needs a provider API key or Secrets Manager secret. PO parsing stays fully AI -- only the provider changes. The EXTRACTION_PROMPT is kept byte-identical and the Bedrock text output is still decoded with json.loads(..., parse_float=Decimal), which DynamoDB requires (it rejects floats). Replace the deprecated datetime.utcnow() with datetime.now(timezone.utc) and drop the anthropic dependency. * Grant Bedrock IAM, drop Anthropic secrets, add fallback alarm Both stacks moved their processors from the Anthropic API to the Bedrock inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0. Grant each processor role bedrock:InvokeModel + bedrock:InvokeModelWithResponseStream on BOTH the inference-profile ARN AND the per-region foundation-model ARNs for us-east-1/us-east-2/us-west-2 (empty-account) -- the us.* profile routes cross-region, so a profile-only grant AccessDenies at runtime. Remove both anthropic-api-key Secret constructs, their grant_read, and the ANTHROPIC_API_KEY_SECRET_ARN env; add BEDROCK_MODEL_ID. The secrets had RemovalPolicy.RETAIN so they are orphaned, not deleted -- flagged in the README for manual post-deploy deletion and key revocation. Add the workorder-email-processor-template-fallback-rate alarm: a FILL(0) + >=10-sample volume-floor MathExpression over the EMF ParseOutcome metric (15-min periods) that pages when the AI-fallback share exceeds 15% sustained, catching Hexagon template drift. ALARM-only SnsAction to site-alerts, no OK action, NOT_BREACHING, matching the existing stack idiom. * Add offline WO parser test suite Cover the deterministic parser with golden-file tests over 55 real scrubbed .eml fixtures (both comment sub-shapes, username Submitted-By, address present/absent, br+CRLF assign addresses), fail-closed validation-gate rules, adversarial and prompt-injection cases that must route to ai_fallback or parse without corrupting other fields, the issue #23 comment_id idempotency invariants, and the Bedrock-fallback dispatch plus EMF-metric emission with a mocked invoke_model. Extend pytest.ini testpaths to discover the co-located suite, and update tests/conftest.load_handler to put a handler's own directory on sys.path so the WO handler's new `from template_parser import ...` resolves under the existing shared handler tests. Point test_local.py at the new template-first + Bedrock flow. Refs: #23 * Document Bedrock migration and WO parse flow in README Record the provider switch to the Bedrock inference profile (no Anthropic API key or Secrets Manager secret, with the retired secrets flagged for manual deletion), the WO deterministic-template-first + AI-fallback flow, the new ParseOutcome EMF metric and template-fallback-rate alarm, the issue #23 comment_id format change, the +00:00 aware-UTC timestamp shift, and offline test instructions. Refs: #23 * Fix f-string lint and formatting in backfill scripts Drop the f prefix from two f-strings that carry no placeholders (F541) and apply ruff format, so `ruff check` / `ruff format --check` pass in CI. * Emit ParseMethod-only EMF set so fallback alarm can fire The fallback-rate alarm queries the ParseOutcome series keyed on ParseMethod alone, but the emitter published only the joint (ParseMethod, TemplateId) dimension set. CloudWatch materializes exactly the listed dimension sets and does not auto-aggregate, so the alarm's series never received data: it evaluated a constant 0 and could never page on template-drift coverage collapse. Publish both ["ParseMethod"] and ["ParseMethod","TemplateId"] and update the EMF regression test to assert both sets are present. * Commit WO parser .eml fixtures for executable coverage The parser test suite globbed for input .eml fixtures that the repo's `*.eml` ignore rule kept uncommitted, so every parametrized golden and fail-closed test collected zero cases and CI could not exercise the deterministic parser that handles 100% of WO email volume. Add a fixtures-only negation to .gitignore and commit the 55 scrubbed positive samples (50 update-plaintext, 5 assign-html) plus 14 ai-fallback and 3 adversarial fixtures. The ai-fallback set covers each fail-closed reason code (subject_no_match, single_space_work_order, malformed_site_code, label_bleed, creation_time_unparseable, wo_id_mismatch, missing_required_field) and the adversarial set proves the parser is total and confines prompt-injection payloads to comment_text without steering the structured fields. * Fix WO parser advisories A1-A3 (PR #99 follow-ups) A1 — AI-fallback comment_id nondeterminism: parsed comment_time is model output and not stable across Lambda async retries, so on the ai_fallback path the comment_id range-key time segment now derives from the email Date header (deterministic per S3 object) instead of the model's comment_time. The template path is unchanged (its comment_time is a pure function of the raw email). Bedrock invoke pins temperature 0 so retries reproduce the same extraction. Closes the #23 reopening on the AI path. A2 — EMF record now carries the spec-required _aws.Timestamp (epoch ms) so CloudWatch reliably extracts the ParseOutcome datapoint that the fallback-rate alarm depends on. A3 — T1 New Comment capture no longer truncates at the first blank line; multi-paragraph comments are captured through internal blanks and terminate at the next label/separator. 17 golden files regenerated from the real fixtures accordingly. Hardening from the sh-security-review pass on this diff: - _header_date_iso is total: OverflowError/OSError from an extreme Date header fall back to 'nocomment' instead of failing the invocation. - _capture_block trims blanks in O(n) (no pop(0)) — removes a quadratic path on a crafted large blank run. - work_order_id is enforced digits-only on BOTH parse paths before it is used as a DynamoDB key, so prompt-injected AI output cannot forge '#' range-key segments or land on an arbitrary WO.
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DATE_HEADER = "Mon, 27 Apr 2026 23:57:49 +0000 (UTC)"
def _parsed(wo="11144580730", comment_time="2026-04-27T23:51:48"):
return {
"work_order_id": wo,
"email_type": "comment",
"commenter": "jdoe",
"comment_text": "a comment",
"comment_time": comment_time,
}
def _comment_ids(table):
return [item["comment_id"] for item in table.puts]
def test_same_object_key_retry_is_idempotent(fake_dynamo):
parsed = _parsed()
feat: decompose email-processor handlers into flat siblings + lazy boto3 clients (refactor phase 5) (#113) Both email-processor God-handlers split along the seams that already work in the flat-sibling pattern established by lambdas/shared/, so bare-name imports keep working under the existing bundling glob. PO (5-way split): handler.py keeps only the event loop, fail-closed auth, and email_type routing. extraction.py holds extract_with_claude and _EMAIL_TAG_RE, importing EXTRACTION_PROMPT from prompts.py and parse_raw_email from shared/email_parsing.py rather than recreating a PO-local copy. enrichment.py is a pure code move of enrich_parsed and pad_zip (PO-only; WO has no enrichment stage) with zero behavior change. telemetry.py holds the EMF ParseMethod emit wrappers. persistence.py holds _write_fields/_merge_update/save_*, collapsing the byte-identical save_new_po/save_revision bodies into one _save_merge helper that both now call through, preserving the sticky Cancelled ConditionExpression guard for both callers; save_cancellation stays separate. WO (5 concerns, no enrichment stage): the handler loop keeps validate_ai_fallback and the re.fullmatch(r"[0-9]+", work_order_id) key guard ahead of both save_work_order and save_event, since the guard protects the DynamoDB partition key and the '#'-delimited comment_id range-key segment. _header_date_iso and comment_id determinism stay colocated with persistence.py's save_event for the retry-idempotent event_id key. EXTRACTION_PROMPT (PO) moves to prompts.py with cross-reference headers to derived_fields.py's authoritative trade/site/fiscal rule tables; handler.py re-exports it (from prompts import EXTRACTION_PROMPT) since four tests dereference handler.EXTRACTION_ PROMPT directly. WO's prompt moves the same way. I/O modules (extraction.py's bedrock client, persistence.py's dynamodb resource, handler.py's s3 client) get lazy cached boto3 accessors; pure modules (enrichment.py, prompts.py, telemetry.py) import no boto3. Test monkeypatch surfaces move to the module that now owns the client (e.g. persistence.dynamodb) everywhere tests patch it, and the moto-before-handler-import ordering in _po_parser_support.py is preserved so the moto-backed suites don't hit real AWS. Behavior-preservation pins, verified with tests: PO still emits ParseMethod=ai_fallback before the Bedrock call, with ai_fallback_rejected as the additive second datapoint on rejection. WO still emits after its gate with mutually-exclusive ai_fallback / ai_fallback_rejected. Shadow DerivedFieldAgreement telemetry stays ai_fallback-only. derived_fields.py is untouched (diff against feature/phase-3-shared-extraction is empty). handler(event, context) signatures and the save_* public contract are unchanged on both pipelines; goldens unchanged. PO_EXPECTED_TOP_LEVEL_MODULES and its WO equivalent in tests/test_bundle_consistency.py are updated for the new sibling modules so the AST bundle-consistency test still fails on an unshipped or uncommented-out sibling.
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persistence.save_event(
feat: template-first WO parser + Bedrock fallback, PO Bedrock switch (#99) * Add deterministic template parser for WO emails The workorder-email-processor sends every one of ~22.9k emails/month to an LLM, but ~93.6% are the plain-text "AMAZON UPDATE WO DETAILS" comment template and ~6.4% the HTML "AMAZON assign Work Order" template. Parse those two shapes deterministically, offline, so the AI call is reserved for the long tail. The module is pure (no boto3, no network). try_deterministic_parse classifies by subject, extracts the shared contract fields, and returns a result ONLY when it passes a strict fail-closed validation gate: exact contract-key set, subject/id agreement, the literal "Work Order: <id>" double space, per-type required fields, site-code shape, and a label-bleed guard so a value that over-ran into the next field fails. Any miss, drift, or extractor exception yields None so the caller falls back to the AI extractor -- data is never corrupted, only the fallback rate rises. Refs: #23 * Migrate WO processor to Bedrock and fix comment_id collision Switch the AI path from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so parsing no longer needs a provider API key or Secrets Manager secret. The EXTRACTION_PROMPT and JSON contract are kept byte-identical, so the AI-fallback output is unchanged. Try the new deterministic template parser first and only call Bedrock on a miss/invalid result. Fix issue #23: the WorkOrderComments range key was work_order_id#<comment_time>, so two emails on one WO with an identical or absent comment time collided and overwrote each other. Derive a 12-hex suffix from the S3 object key alone -- deterministic, so an async retry of the same object is byte-identical (idempotent) while distinct emails get distinct keys -- and keep wall-clock now() out of the key (literal 'nocomment' segment when comment_time is absent). Also emit one CloudWatch EMF line per record (Seahaven/WorkorderIngest ParseOutcome, dimensioned by ParseMethod/TemplateId) for parse-outcome observability, replace the deprecated datetime.utcnow() with datetime.now(timezone.utc), and drop the anthropic dependency. Refs: #23 * Migrate PO processor to Bedrock Switch the PO email processor's AI extraction from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so it no longer needs a provider API key or Secrets Manager secret. PO parsing stays fully AI -- only the provider changes. The EXTRACTION_PROMPT is kept byte-identical and the Bedrock text output is still decoded with json.loads(..., parse_float=Decimal), which DynamoDB requires (it rejects floats). Replace the deprecated datetime.utcnow() with datetime.now(timezone.utc) and drop the anthropic dependency. * Grant Bedrock IAM, drop Anthropic secrets, add fallback alarm Both stacks moved their processors from the Anthropic API to the Bedrock inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0. Grant each processor role bedrock:InvokeModel + bedrock:InvokeModelWithResponseStream on BOTH the inference-profile ARN AND the per-region foundation-model ARNs for us-east-1/us-east-2/us-west-2 (empty-account) -- the us.* profile routes cross-region, so a profile-only grant AccessDenies at runtime. Remove both anthropic-api-key Secret constructs, their grant_read, and the ANTHROPIC_API_KEY_SECRET_ARN env; add BEDROCK_MODEL_ID. The secrets had RemovalPolicy.RETAIN so they are orphaned, not deleted -- flagged in the README for manual post-deploy deletion and key revocation. Add the workorder-email-processor-template-fallback-rate alarm: a FILL(0) + >=10-sample volume-floor MathExpression over the EMF ParseOutcome metric (15-min periods) that pages when the AI-fallback share exceeds 15% sustained, catching Hexagon template drift. ALARM-only SnsAction to site-alerts, no OK action, NOT_BREACHING, matching the existing stack idiom. * Add offline WO parser test suite Cover the deterministic parser with golden-file tests over 55 real scrubbed .eml fixtures (both comment sub-shapes, username Submitted-By, address present/absent, br+CRLF assign addresses), fail-closed validation-gate rules, adversarial and prompt-injection cases that must route to ai_fallback or parse without corrupting other fields, the issue #23 comment_id idempotency invariants, and the Bedrock-fallback dispatch plus EMF-metric emission with a mocked invoke_model. Extend pytest.ini testpaths to discover the co-located suite, and update tests/conftest.load_handler to put a handler's own directory on sys.path so the WO handler's new `from template_parser import ...` resolves under the existing shared handler tests. Point test_local.py at the new template-first + Bedrock flow. Refs: #23 * Document Bedrock migration and WO parse flow in README Record the provider switch to the Bedrock inference profile (no Anthropic API key or Secrets Manager secret, with the retired secrets flagged for manual deletion), the WO deterministic-template-first + AI-fallback flow, the new ParseOutcome EMF metric and template-fallback-rate alarm, the issue #23 comment_id format change, the +00:00 aware-UTC timestamp shift, and offline test instructions. Refs: #23 * Fix f-string lint and formatting in backfill scripts Drop the f prefix from two f-strings that carry no placeholders (F541) and apply ruff format, so `ruff check` / `ruff format --check` pass in CI. * Emit ParseMethod-only EMF set so fallback alarm can fire The fallback-rate alarm queries the ParseOutcome series keyed on ParseMethod alone, but the emitter published only the joint (ParseMethod, TemplateId) dimension set. CloudWatch materializes exactly the listed dimension sets and does not auto-aggregate, so the alarm's series never received data: it evaluated a constant 0 and could never page on template-drift coverage collapse. Publish both ["ParseMethod"] and ["ParseMethod","TemplateId"] and update the EMF regression test to assert both sets are present. * Commit WO parser .eml fixtures for executable coverage The parser test suite globbed for input .eml fixtures that the repo's `*.eml` ignore rule kept uncommitted, so every parametrized golden and fail-closed test collected zero cases and CI could not exercise the deterministic parser that handles 100% of WO email volume. Add a fixtures-only negation to .gitignore and commit the 55 scrubbed positive samples (50 update-plaintext, 5 assign-html) plus 14 ai-fallback and 3 adversarial fixtures. The ai-fallback set covers each fail-closed reason code (subject_no_match, single_space_work_order, malformed_site_code, label_bleed, creation_time_unparseable, wo_id_mismatch, missing_required_field) and the adversarial set proves the parser is total and confines prompt-injection payloads to comment_text without steering the structured fields. * Fix WO parser advisories A1-A3 (PR #99 follow-ups) A1 — AI-fallback comment_id nondeterminism: parsed comment_time is model output and not stable across Lambda async retries, so on the ai_fallback path the comment_id range-key time segment now derives from the email Date header (deterministic per S3 object) instead of the model's comment_time. The template path is unchanged (its comment_time is a pure function of the raw email). Bedrock invoke pins temperature 0 so retries reproduce the same extraction. Closes the #23 reopening on the AI path. A2 — EMF record now carries the spec-required _aws.Timestamp (epoch ms) so CloudWatch reliably extracts the ParseOutcome datapoint that the fallback-rate alarm depends on. A3 — T1 New Comment capture no longer truncates at the first blank line; multi-paragraph comments are captured through internal blanks and terminate at the next label/separator. 17 golden files regenerated from the real fixtures accordingly. Hardening from the sh-security-review pass on this diff: - _header_date_iso is total: OverflowError/OSError from an extreme Date header fall back to 'nocomment' instead of failing the invocation. - _capture_block trims blanks in O(n) (no pop(0)) — removes a quadratic path on a crafted large blank run. - work_order_id is enforced digits-only on BOTH parse paths before it is used as a DynamoDB key, so prompt-injected AI output cannot forge '#' range-key segments or land on an arbitrary WO.
2026-07-16 12:45:11 -04:00
parsed, "s3://bucket/inbound/obj-a", "inbound/obj-a", "template", DATE_HEADER
)
feat: decompose email-processor handlers into flat siblings + lazy boto3 clients (refactor phase 5) (#113) Both email-processor God-handlers split along the seams that already work in the flat-sibling pattern established by lambdas/shared/, so bare-name imports keep working under the existing bundling glob. PO (5-way split): handler.py keeps only the event loop, fail-closed auth, and email_type routing. extraction.py holds extract_with_claude and _EMAIL_TAG_RE, importing EXTRACTION_PROMPT from prompts.py and parse_raw_email from shared/email_parsing.py rather than recreating a PO-local copy. enrichment.py is a pure code move of enrich_parsed and pad_zip (PO-only; WO has no enrichment stage) with zero behavior change. telemetry.py holds the EMF ParseMethod emit wrappers. persistence.py holds _write_fields/_merge_update/save_*, collapsing the byte-identical save_new_po/save_revision bodies into one _save_merge helper that both now call through, preserving the sticky Cancelled ConditionExpression guard for both callers; save_cancellation stays separate. WO (5 concerns, no enrichment stage): the handler loop keeps validate_ai_fallback and the re.fullmatch(r"[0-9]+", work_order_id) key guard ahead of both save_work_order and save_event, since the guard protects the DynamoDB partition key and the '#'-delimited comment_id range-key segment. _header_date_iso and comment_id determinism stay colocated with persistence.py's save_event for the retry-idempotent event_id key. EXTRACTION_PROMPT (PO) moves to prompts.py with cross-reference headers to derived_fields.py's authoritative trade/site/fiscal rule tables; handler.py re-exports it (from prompts import EXTRACTION_PROMPT) since four tests dereference handler.EXTRACTION_ PROMPT directly. WO's prompt moves the same way. I/O modules (extraction.py's bedrock client, persistence.py's dynamodb resource, handler.py's s3 client) get lazy cached boto3 accessors; pure modules (enrichment.py, prompts.py, telemetry.py) import no boto3. Test monkeypatch surfaces move to the module that now owns the client (e.g. persistence.dynamodb) everywhere tests patch it, and the moto-before-handler-import ordering in _po_parser_support.py is preserved so the moto-backed suites don't hit real AWS. Behavior-preservation pins, verified with tests: PO still emits ParseMethod=ai_fallback before the Bedrock call, with ai_fallback_rejected as the additive second datapoint on rejection. WO still emits after its gate with mutually-exclusive ai_fallback / ai_fallback_rejected. Shadow DerivedFieldAgreement telemetry stays ai_fallback-only. derived_fields.py is untouched (diff against feature/phase-3-shared-extraction is empty). handler(event, context) signatures and the save_* public contract are unchanged on both pipelines; goldens unchanged. PO_EXPECTED_TOP_LEVEL_MODULES and its WO equivalent in tests/test_bundle_consistency.py are updated for the new sibling modules so the AST bundle-consistency test still fails on an unshipped or uncommented-out sibling.
2026-07-20 15:34:53 -04:00
persistence.save_event(
feat: template-first WO parser + Bedrock fallback, PO Bedrock switch (#99) * Add deterministic template parser for WO emails The workorder-email-processor sends every one of ~22.9k emails/month to an LLM, but ~93.6% are the plain-text "AMAZON UPDATE WO DETAILS" comment template and ~6.4% the HTML "AMAZON assign Work Order" template. Parse those two shapes deterministically, offline, so the AI call is reserved for the long tail. The module is pure (no boto3, no network). try_deterministic_parse classifies by subject, extracts the shared contract fields, and returns a result ONLY when it passes a strict fail-closed validation gate: exact contract-key set, subject/id agreement, the literal "Work Order: <id>" double space, per-type required fields, site-code shape, and a label-bleed guard so a value that over-ran into the next field fails. Any miss, drift, or extractor exception yields None so the caller falls back to the AI extractor -- data is never corrupted, only the fallback rate rises. Refs: #23 * Migrate WO processor to Bedrock and fix comment_id collision Switch the AI path from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so parsing no longer needs a provider API key or Secrets Manager secret. The EXTRACTION_PROMPT and JSON contract are kept byte-identical, so the AI-fallback output is unchanged. Try the new deterministic template parser first and only call Bedrock on a miss/invalid result. Fix issue #23: the WorkOrderComments range key was work_order_id#<comment_time>, so two emails on one WO with an identical or absent comment time collided and overwrote each other. Derive a 12-hex suffix from the S3 object key alone -- deterministic, so an async retry of the same object is byte-identical (idempotent) while distinct emails get distinct keys -- and keep wall-clock now() out of the key (literal 'nocomment' segment when comment_time is absent). Also emit one CloudWatch EMF line per record (Seahaven/WorkorderIngest ParseOutcome, dimensioned by ParseMethod/TemplateId) for parse-outcome observability, replace the deprecated datetime.utcnow() with datetime.now(timezone.utc), and drop the anthropic dependency. Refs: #23 * Migrate PO processor to Bedrock Switch the PO email processor's AI extraction from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so it no longer needs a provider API key or Secrets Manager secret. PO parsing stays fully AI -- only the provider changes. The EXTRACTION_PROMPT is kept byte-identical and the Bedrock text output is still decoded with json.loads(..., parse_float=Decimal), which DynamoDB requires (it rejects floats). Replace the deprecated datetime.utcnow() with datetime.now(timezone.utc) and drop the anthropic dependency. * Grant Bedrock IAM, drop Anthropic secrets, add fallback alarm Both stacks moved their processors from the Anthropic API to the Bedrock inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0. Grant each processor role bedrock:InvokeModel + bedrock:InvokeModelWithResponseStream on BOTH the inference-profile ARN AND the per-region foundation-model ARNs for us-east-1/us-east-2/us-west-2 (empty-account) -- the us.* profile routes cross-region, so a profile-only grant AccessDenies at runtime. Remove both anthropic-api-key Secret constructs, their grant_read, and the ANTHROPIC_API_KEY_SECRET_ARN env; add BEDROCK_MODEL_ID. The secrets had RemovalPolicy.RETAIN so they are orphaned, not deleted -- flagged in the README for manual post-deploy deletion and key revocation. Add the workorder-email-processor-template-fallback-rate alarm: a FILL(0) + >=10-sample volume-floor MathExpression over the EMF ParseOutcome metric (15-min periods) that pages when the AI-fallback share exceeds 15% sustained, catching Hexagon template drift. ALARM-only SnsAction to site-alerts, no OK action, NOT_BREACHING, matching the existing stack idiom. * Add offline WO parser test suite Cover the deterministic parser with golden-file tests over 55 real scrubbed .eml fixtures (both comment sub-shapes, username Submitted-By, address present/absent, br+CRLF assign addresses), fail-closed validation-gate rules, adversarial and prompt-injection cases that must route to ai_fallback or parse without corrupting other fields, the issue #23 comment_id idempotency invariants, and the Bedrock-fallback dispatch plus EMF-metric emission with a mocked invoke_model. Extend pytest.ini testpaths to discover the co-located suite, and update tests/conftest.load_handler to put a handler's own directory on sys.path so the WO handler's new `from template_parser import ...` resolves under the existing shared handler tests. Point test_local.py at the new template-first + Bedrock flow. Refs: #23 * Document Bedrock migration and WO parse flow in README Record the provider switch to the Bedrock inference profile (no Anthropic API key or Secrets Manager secret, with the retired secrets flagged for manual deletion), the WO deterministic-template-first + AI-fallback flow, the new ParseOutcome EMF metric and template-fallback-rate alarm, the issue #23 comment_id format change, the +00:00 aware-UTC timestamp shift, and offline test instructions. Refs: #23 * Fix f-string lint and formatting in backfill scripts Drop the f prefix from two f-strings that carry no placeholders (F541) and apply ruff format, so `ruff check` / `ruff format --check` pass in CI. * Emit ParseMethod-only EMF set so fallback alarm can fire The fallback-rate alarm queries the ParseOutcome series keyed on ParseMethod alone, but the emitter published only the joint (ParseMethod, TemplateId) dimension set. CloudWatch materializes exactly the listed dimension sets and does not auto-aggregate, so the alarm's series never received data: it evaluated a constant 0 and could never page on template-drift coverage collapse. Publish both ["ParseMethod"] and ["ParseMethod","TemplateId"] and update the EMF regression test to assert both sets are present. * Commit WO parser .eml fixtures for executable coverage The parser test suite globbed for input .eml fixtures that the repo's `*.eml` ignore rule kept uncommitted, so every parametrized golden and fail-closed test collected zero cases and CI could not exercise the deterministic parser that handles 100% of WO email volume. Add a fixtures-only negation to .gitignore and commit the 55 scrubbed positive samples (50 update-plaintext, 5 assign-html) plus 14 ai-fallback and 3 adversarial fixtures. The ai-fallback set covers each fail-closed reason code (subject_no_match, single_space_work_order, malformed_site_code, label_bleed, creation_time_unparseable, wo_id_mismatch, missing_required_field) and the adversarial set proves the parser is total and confines prompt-injection payloads to comment_text without steering the structured fields. * Fix WO parser advisories A1-A3 (PR #99 follow-ups) A1 — AI-fallback comment_id nondeterminism: parsed comment_time is model output and not stable across Lambda async retries, so on the ai_fallback path the comment_id range-key time segment now derives from the email Date header (deterministic per S3 object) instead of the model's comment_time. The template path is unchanged (its comment_time is a pure function of the raw email). Bedrock invoke pins temperature 0 so retries reproduce the same extraction. Closes the #23 reopening on the AI path. A2 — EMF record now carries the spec-required _aws.Timestamp (epoch ms) so CloudWatch reliably extracts the ParseOutcome datapoint that the fallback-rate alarm depends on. A3 — T1 New Comment capture no longer truncates at the first blank line; multi-paragraph comments are captured through internal blanks and terminate at the next label/separator. 17 golden files regenerated from the real fixtures accordingly. Hardening from the sh-security-review pass on this diff: - _header_date_iso is total: OverflowError/OSError from an extreme Date header fall back to 'nocomment' instead of failing the invocation. - _capture_block trims blanks in O(n) (no pop(0)) — removes a quadratic path on a crafted large blank run. - work_order_id is enforced digits-only on BOTH parse paths before it is used as a DynamoDB key, so prompt-injected AI output cannot forge '#' range-key segments or land on an arbitrary WO.
2026-07-16 12:45:11 -04:00
parsed, "s3://bucket/inbound/obj-a", "inbound/obj-a", "template", DATE_HEADER
)
feat: decompose email-processor handlers into flat siblings + lazy boto3 clients (refactor phase 5) (#113) Both email-processor God-handlers split along the seams that already work in the flat-sibling pattern established by lambdas/shared/, so bare-name imports keep working under the existing bundling glob. PO (5-way split): handler.py keeps only the event loop, fail-closed auth, and email_type routing. extraction.py holds extract_with_claude and _EMAIL_TAG_RE, importing EXTRACTION_PROMPT from prompts.py and parse_raw_email from shared/email_parsing.py rather than recreating a PO-local copy. enrichment.py is a pure code move of enrich_parsed and pad_zip (PO-only; WO has no enrichment stage) with zero behavior change. telemetry.py holds the EMF ParseMethod emit wrappers. persistence.py holds _write_fields/_merge_update/save_*, collapsing the byte-identical save_new_po/save_revision bodies into one _save_merge helper that both now call through, preserving the sticky Cancelled ConditionExpression guard for both callers; save_cancellation stays separate. WO (5 concerns, no enrichment stage): the handler loop keeps validate_ai_fallback and the re.fullmatch(r"[0-9]+", work_order_id) key guard ahead of both save_work_order and save_event, since the guard protects the DynamoDB partition key and the '#'-delimited comment_id range-key segment. _header_date_iso and comment_id determinism stay colocated with persistence.py's save_event for the retry-idempotent event_id key. EXTRACTION_PROMPT (PO) moves to prompts.py with cross-reference headers to derived_fields.py's authoritative trade/site/fiscal rule tables; handler.py re-exports it (from prompts import EXTRACTION_PROMPT) since four tests dereference handler.EXTRACTION_ PROMPT directly. WO's prompt moves the same way. I/O modules (extraction.py's bedrock client, persistence.py's dynamodb resource, handler.py's s3 client) get lazy cached boto3 accessors; pure modules (enrichment.py, prompts.py, telemetry.py) import no boto3. Test monkeypatch surfaces move to the module that now owns the client (e.g. persistence.dynamodb) everywhere tests patch it, and the moto-before-handler-import ordering in _po_parser_support.py is preserved so the moto-backed suites don't hit real AWS. Behavior-preservation pins, verified with tests: PO still emits ParseMethod=ai_fallback before the Bedrock call, with ai_fallback_rejected as the additive second datapoint on rejection. WO still emits after its gate with mutually-exclusive ai_fallback / ai_fallback_rejected. Shadow DerivedFieldAgreement telemetry stays ai_fallback-only. derived_fields.py is untouched (diff against feature/phase-3-shared-extraction is empty). handler(event, context) signatures and the save_* public contract are unchanged on both pipelines; goldens unchanged. PO_EXPECTED_TOP_LEVEL_MODULES and its WO equivalent in tests/test_bundle_consistency.py are updated for the new sibling modules so the AST bundle-consistency test still fails on an unshipped or uncommented-out sibling.
2026-07-20 15:34:53 -04:00
table = fake_dynamo.tables[persistence.COMMENTS_TABLE]
feat: template-first WO parser + Bedrock fallback, PO Bedrock switch (#99) * Add deterministic template parser for WO emails The workorder-email-processor sends every one of ~22.9k emails/month to an LLM, but ~93.6% are the plain-text "AMAZON UPDATE WO DETAILS" comment template and ~6.4% the HTML "AMAZON assign Work Order" template. Parse those two shapes deterministically, offline, so the AI call is reserved for the long tail. The module is pure (no boto3, no network). try_deterministic_parse classifies by subject, extracts the shared contract fields, and returns a result ONLY when it passes a strict fail-closed validation gate: exact contract-key set, subject/id agreement, the literal "Work Order: <id>" double space, per-type required fields, site-code shape, and a label-bleed guard so a value that over-ran into the next field fails. Any miss, drift, or extractor exception yields None so the caller falls back to the AI extractor -- data is never corrupted, only the fallback rate rises. Refs: #23 * Migrate WO processor to Bedrock and fix comment_id collision Switch the AI path from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so parsing no longer needs a provider API key or Secrets Manager secret. The EXTRACTION_PROMPT and JSON contract are kept byte-identical, so the AI-fallback output is unchanged. Try the new deterministic template parser first and only call Bedrock on a miss/invalid result. Fix issue #23: the WorkOrderComments range key was work_order_id#<comment_time>, so two emails on one WO with an identical or absent comment time collided and overwrote each other. Derive a 12-hex suffix from the S3 object key alone -- deterministic, so an async retry of the same object is byte-identical (idempotent) while distinct emails get distinct keys -- and keep wall-clock now() out of the key (literal 'nocomment' segment when comment_time is absent). Also emit one CloudWatch EMF line per record (Seahaven/WorkorderIngest ParseOutcome, dimensioned by ParseMethod/TemplateId) for parse-outcome observability, replace the deprecated datetime.utcnow() with datetime.now(timezone.utc), and drop the anthropic dependency. Refs: #23 * Migrate PO processor to Bedrock Switch the PO email processor's AI extraction from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so it no longer needs a provider API key or Secrets Manager secret. PO parsing stays fully AI -- only the provider changes. The EXTRACTION_PROMPT is kept byte-identical and the Bedrock text output is still decoded with json.loads(..., parse_float=Decimal), which DynamoDB requires (it rejects floats). Replace the deprecated datetime.utcnow() with datetime.now(timezone.utc) and drop the anthropic dependency. * Grant Bedrock IAM, drop Anthropic secrets, add fallback alarm Both stacks moved their processors from the Anthropic API to the Bedrock inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0. Grant each processor role bedrock:InvokeModel + bedrock:InvokeModelWithResponseStream on BOTH the inference-profile ARN AND the per-region foundation-model ARNs for us-east-1/us-east-2/us-west-2 (empty-account) -- the us.* profile routes cross-region, so a profile-only grant AccessDenies at runtime. Remove both anthropic-api-key Secret constructs, their grant_read, and the ANTHROPIC_API_KEY_SECRET_ARN env; add BEDROCK_MODEL_ID. The secrets had RemovalPolicy.RETAIN so they are orphaned, not deleted -- flagged in the README for manual post-deploy deletion and key revocation. Add the workorder-email-processor-template-fallback-rate alarm: a FILL(0) + >=10-sample volume-floor MathExpression over the EMF ParseOutcome metric (15-min periods) that pages when the AI-fallback share exceeds 15% sustained, catching Hexagon template drift. ALARM-only SnsAction to site-alerts, no OK action, NOT_BREACHING, matching the existing stack idiom. * Add offline WO parser test suite Cover the deterministic parser with golden-file tests over 55 real scrubbed .eml fixtures (both comment sub-shapes, username Submitted-By, address present/absent, br+CRLF assign addresses), fail-closed validation-gate rules, adversarial and prompt-injection cases that must route to ai_fallback or parse without corrupting other fields, the issue #23 comment_id idempotency invariants, and the Bedrock-fallback dispatch plus EMF-metric emission with a mocked invoke_model. Extend pytest.ini testpaths to discover the co-located suite, and update tests/conftest.load_handler to put a handler's own directory on sys.path so the WO handler's new `from template_parser import ...` resolves under the existing shared handler tests. Point test_local.py at the new template-first + Bedrock flow. Refs: #23 * Document Bedrock migration and WO parse flow in README Record the provider switch to the Bedrock inference profile (no Anthropic API key or Secrets Manager secret, with the retired secrets flagged for manual deletion), the WO deterministic-template-first + AI-fallback flow, the new ParseOutcome EMF metric and template-fallback-rate alarm, the issue #23 comment_id format change, the +00:00 aware-UTC timestamp shift, and offline test instructions. Refs: #23 * Fix f-string lint and formatting in backfill scripts Drop the f prefix from two f-strings that carry no placeholders (F541) and apply ruff format, so `ruff check` / `ruff format --check` pass in CI. * Emit ParseMethod-only EMF set so fallback alarm can fire The fallback-rate alarm queries the ParseOutcome series keyed on ParseMethod alone, but the emitter published only the joint (ParseMethod, TemplateId) dimension set. CloudWatch materializes exactly the listed dimension sets and does not auto-aggregate, so the alarm's series never received data: it evaluated a constant 0 and could never page on template-drift coverage collapse. Publish both ["ParseMethod"] and ["ParseMethod","TemplateId"] and update the EMF regression test to assert both sets are present. * Commit WO parser .eml fixtures for executable coverage The parser test suite globbed for input .eml fixtures that the repo's `*.eml` ignore rule kept uncommitted, so every parametrized golden and fail-closed test collected zero cases and CI could not exercise the deterministic parser that handles 100% of WO email volume. Add a fixtures-only negation to .gitignore and commit the 55 scrubbed positive samples (50 update-plaintext, 5 assign-html) plus 14 ai-fallback and 3 adversarial fixtures. The ai-fallback set covers each fail-closed reason code (subject_no_match, single_space_work_order, malformed_site_code, label_bleed, creation_time_unparseable, wo_id_mismatch, missing_required_field) and the adversarial set proves the parser is total and confines prompt-injection payloads to comment_text without steering the structured fields. * Fix WO parser advisories A1-A3 (PR #99 follow-ups) A1 — AI-fallback comment_id nondeterminism: parsed comment_time is model output and not stable across Lambda async retries, so on the ai_fallback path the comment_id range-key time segment now derives from the email Date header (deterministic per S3 object) instead of the model's comment_time. The template path is unchanged (its comment_time is a pure function of the raw email). Bedrock invoke pins temperature 0 so retries reproduce the same extraction. Closes the #23 reopening on the AI path. A2 — EMF record now carries the spec-required _aws.Timestamp (epoch ms) so CloudWatch reliably extracts the ParseOutcome datapoint that the fallback-rate alarm depends on. A3 — T1 New Comment capture no longer truncates at the first blank line; multi-paragraph comments are captured through internal blanks and terminate at the next label/separator. 17 golden files regenerated from the real fixtures accordingly. Hardening from the sh-security-review pass on this diff: - _header_date_iso is total: OverflowError/OSError from an extreme Date header fall back to 'nocomment' instead of failing the invocation. - _capture_block trims blanks in O(n) (no pop(0)) — removes a quadratic path on a crafted large blank run. - work_order_id is enforced digits-only on BOTH parse paths before it is used as a DynamoDB key, so prompt-injected AI output cannot forge '#' range-key segments or land on an arbitrary WO.
2026-07-16 12:45:11 -04:00
ids = _comment_ids(table)
# Two put_item calls with an identical key -> one logical row (overwrite).
assert ids[0] == ids[1]
assert len(table.store) == 1
def test_distinct_emails_same_wo_and_time_are_distinct_rows(fake_dynamo):
parsed = _parsed()
feat: decompose email-processor handlers into flat siblings + lazy boto3 clients (refactor phase 5) (#113) Both email-processor God-handlers split along the seams that already work in the flat-sibling pattern established by lambdas/shared/, so bare-name imports keep working under the existing bundling glob. PO (5-way split): handler.py keeps only the event loop, fail-closed auth, and email_type routing. extraction.py holds extract_with_claude and _EMAIL_TAG_RE, importing EXTRACTION_PROMPT from prompts.py and parse_raw_email from shared/email_parsing.py rather than recreating a PO-local copy. enrichment.py is a pure code move of enrich_parsed and pad_zip (PO-only; WO has no enrichment stage) with zero behavior change. telemetry.py holds the EMF ParseMethod emit wrappers. persistence.py holds _write_fields/_merge_update/save_*, collapsing the byte-identical save_new_po/save_revision bodies into one _save_merge helper that both now call through, preserving the sticky Cancelled ConditionExpression guard for both callers; save_cancellation stays separate. WO (5 concerns, no enrichment stage): the handler loop keeps validate_ai_fallback and the re.fullmatch(r"[0-9]+", work_order_id) key guard ahead of both save_work_order and save_event, since the guard protects the DynamoDB partition key and the '#'-delimited comment_id range-key segment. _header_date_iso and comment_id determinism stay colocated with persistence.py's save_event for the retry-idempotent event_id key. EXTRACTION_PROMPT (PO) moves to prompts.py with cross-reference headers to derived_fields.py's authoritative trade/site/fiscal rule tables; handler.py re-exports it (from prompts import EXTRACTION_PROMPT) since four tests dereference handler.EXTRACTION_ PROMPT directly. WO's prompt moves the same way. I/O modules (extraction.py's bedrock client, persistence.py's dynamodb resource, handler.py's s3 client) get lazy cached boto3 accessors; pure modules (enrichment.py, prompts.py, telemetry.py) import no boto3. Test monkeypatch surfaces move to the module that now owns the client (e.g. persistence.dynamodb) everywhere tests patch it, and the moto-before-handler-import ordering in _po_parser_support.py is preserved so the moto-backed suites don't hit real AWS. Behavior-preservation pins, verified with tests: PO still emits ParseMethod=ai_fallback before the Bedrock call, with ai_fallback_rejected as the additive second datapoint on rejection. WO still emits after its gate with mutually-exclusive ai_fallback / ai_fallback_rejected. Shadow DerivedFieldAgreement telemetry stays ai_fallback-only. derived_fields.py is untouched (diff against feature/phase-3-shared-extraction is empty). handler(event, context) signatures and the save_* public contract are unchanged on both pipelines; goldens unchanged. PO_EXPECTED_TOP_LEVEL_MODULES and its WO equivalent in tests/test_bundle_consistency.py are updated for the new sibling modules so the AST bundle-consistency test still fails on an unshipped or uncommented-out sibling.
2026-07-20 15:34:53 -04:00
persistence.save_event(
feat: template-first WO parser + Bedrock fallback, PO Bedrock switch (#99) * Add deterministic template parser for WO emails The workorder-email-processor sends every one of ~22.9k emails/month to an LLM, but ~93.6% are the plain-text "AMAZON UPDATE WO DETAILS" comment template and ~6.4% the HTML "AMAZON assign Work Order" template. Parse those two shapes deterministically, offline, so the AI call is reserved for the long tail. The module is pure (no boto3, no network). try_deterministic_parse classifies by subject, extracts the shared contract fields, and returns a result ONLY when it passes a strict fail-closed validation gate: exact contract-key set, subject/id agreement, the literal "Work Order: <id>" double space, per-type required fields, site-code shape, and a label-bleed guard so a value that over-ran into the next field fails. Any miss, drift, or extractor exception yields None so the caller falls back to the AI extractor -- data is never corrupted, only the fallback rate rises. Refs: #23 * Migrate WO processor to Bedrock and fix comment_id collision Switch the AI path from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so parsing no longer needs a provider API key or Secrets Manager secret. The EXTRACTION_PROMPT and JSON contract are kept byte-identical, so the AI-fallback output is unchanged. Try the new deterministic template parser first and only call Bedrock on a miss/invalid result. Fix issue #23: the WorkOrderComments range key was work_order_id#<comment_time>, so two emails on one WO with an identical or absent comment time collided and overwrote each other. Derive a 12-hex suffix from the S3 object key alone -- deterministic, so an async retry of the same object is byte-identical (idempotent) while distinct emails get distinct keys -- and keep wall-clock now() out of the key (literal 'nocomment' segment when comment_time is absent). Also emit one CloudWatch EMF line per record (Seahaven/WorkorderIngest ParseOutcome, dimensioned by ParseMethod/TemplateId) for parse-outcome observability, replace the deprecated datetime.utcnow() with datetime.now(timezone.utc), and drop the anthropic dependency. Refs: #23 * Migrate PO processor to Bedrock Switch the PO email processor's AI extraction from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so it no longer needs a provider API key or Secrets Manager secret. PO parsing stays fully AI -- only the provider changes. The EXTRACTION_PROMPT is kept byte-identical and the Bedrock text output is still decoded with json.loads(..., parse_float=Decimal), which DynamoDB requires (it rejects floats). Replace the deprecated datetime.utcnow() with datetime.now(timezone.utc) and drop the anthropic dependency. * Grant Bedrock IAM, drop Anthropic secrets, add fallback alarm Both stacks moved their processors from the Anthropic API to the Bedrock inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0. Grant each processor role bedrock:InvokeModel + bedrock:InvokeModelWithResponseStream on BOTH the inference-profile ARN AND the per-region foundation-model ARNs for us-east-1/us-east-2/us-west-2 (empty-account) -- the us.* profile routes cross-region, so a profile-only grant AccessDenies at runtime. Remove both anthropic-api-key Secret constructs, their grant_read, and the ANTHROPIC_API_KEY_SECRET_ARN env; add BEDROCK_MODEL_ID. The secrets had RemovalPolicy.RETAIN so they are orphaned, not deleted -- flagged in the README for manual post-deploy deletion and key revocation. Add the workorder-email-processor-template-fallback-rate alarm: a FILL(0) + >=10-sample volume-floor MathExpression over the EMF ParseOutcome metric (15-min periods) that pages when the AI-fallback share exceeds 15% sustained, catching Hexagon template drift. ALARM-only SnsAction to site-alerts, no OK action, NOT_BREACHING, matching the existing stack idiom. * Add offline WO parser test suite Cover the deterministic parser with golden-file tests over 55 real scrubbed .eml fixtures (both comment sub-shapes, username Submitted-By, address present/absent, br+CRLF assign addresses), fail-closed validation-gate rules, adversarial and prompt-injection cases that must route to ai_fallback or parse without corrupting other fields, the issue #23 comment_id idempotency invariants, and the Bedrock-fallback dispatch plus EMF-metric emission with a mocked invoke_model. Extend pytest.ini testpaths to discover the co-located suite, and update tests/conftest.load_handler to put a handler's own directory on sys.path so the WO handler's new `from template_parser import ...` resolves under the existing shared handler tests. Point test_local.py at the new template-first + Bedrock flow. Refs: #23 * Document Bedrock migration and WO parse flow in README Record the provider switch to the Bedrock inference profile (no Anthropic API key or Secrets Manager secret, with the retired secrets flagged for manual deletion), the WO deterministic-template-first + AI-fallback flow, the new ParseOutcome EMF metric and template-fallback-rate alarm, the issue #23 comment_id format change, the +00:00 aware-UTC timestamp shift, and offline test instructions. Refs: #23 * Fix f-string lint and formatting in backfill scripts Drop the f prefix from two f-strings that carry no placeholders (F541) and apply ruff format, so `ruff check` / `ruff format --check` pass in CI. * Emit ParseMethod-only EMF set so fallback alarm can fire The fallback-rate alarm queries the ParseOutcome series keyed on ParseMethod alone, but the emitter published only the joint (ParseMethod, TemplateId) dimension set. CloudWatch materializes exactly the listed dimension sets and does not auto-aggregate, so the alarm's series never received data: it evaluated a constant 0 and could never page on template-drift coverage collapse. Publish both ["ParseMethod"] and ["ParseMethod","TemplateId"] and update the EMF regression test to assert both sets are present. * Commit WO parser .eml fixtures for executable coverage The parser test suite globbed for input .eml fixtures that the repo's `*.eml` ignore rule kept uncommitted, so every parametrized golden and fail-closed test collected zero cases and CI could not exercise the deterministic parser that handles 100% of WO email volume. Add a fixtures-only negation to .gitignore and commit the 55 scrubbed positive samples (50 update-plaintext, 5 assign-html) plus 14 ai-fallback and 3 adversarial fixtures. The ai-fallback set covers each fail-closed reason code (subject_no_match, single_space_work_order, malformed_site_code, label_bleed, creation_time_unparseable, wo_id_mismatch, missing_required_field) and the adversarial set proves the parser is total and confines prompt-injection payloads to comment_text without steering the structured fields. * Fix WO parser advisories A1-A3 (PR #99 follow-ups) A1 — AI-fallback comment_id nondeterminism: parsed comment_time is model output and not stable across Lambda async retries, so on the ai_fallback path the comment_id range-key time segment now derives from the email Date header (deterministic per S3 object) instead of the model's comment_time. The template path is unchanged (its comment_time is a pure function of the raw email). Bedrock invoke pins temperature 0 so retries reproduce the same extraction. Closes the #23 reopening on the AI path. A2 — EMF record now carries the spec-required _aws.Timestamp (epoch ms) so CloudWatch reliably extracts the ParseOutcome datapoint that the fallback-rate alarm depends on. A3 — T1 New Comment capture no longer truncates at the first blank line; multi-paragraph comments are captured through internal blanks and terminate at the next label/separator. 17 golden files regenerated from the real fixtures accordingly. Hardening from the sh-security-review pass on this diff: - _header_date_iso is total: OverflowError/OSError from an extreme Date header fall back to 'nocomment' instead of failing the invocation. - _capture_block trims blanks in O(n) (no pop(0)) — removes a quadratic path on a crafted large blank run. - work_order_id is enforced digits-only on BOTH parse paths before it is used as a DynamoDB key, so prompt-injected AI output cannot forge '#' range-key segments or land on an arbitrary WO.
2026-07-16 12:45:11 -04:00
parsed, "s3://bucket/inbound/obj-a", "inbound/obj-a", "template", DATE_HEADER
)
feat: decompose email-processor handlers into flat siblings + lazy boto3 clients (refactor phase 5) (#113) Both email-processor God-handlers split along the seams that already work in the flat-sibling pattern established by lambdas/shared/, so bare-name imports keep working under the existing bundling glob. PO (5-way split): handler.py keeps only the event loop, fail-closed auth, and email_type routing. extraction.py holds extract_with_claude and _EMAIL_TAG_RE, importing EXTRACTION_PROMPT from prompts.py and parse_raw_email from shared/email_parsing.py rather than recreating a PO-local copy. enrichment.py is a pure code move of enrich_parsed and pad_zip (PO-only; WO has no enrichment stage) with zero behavior change. telemetry.py holds the EMF ParseMethod emit wrappers. persistence.py holds _write_fields/_merge_update/save_*, collapsing the byte-identical save_new_po/save_revision bodies into one _save_merge helper that both now call through, preserving the sticky Cancelled ConditionExpression guard for both callers; save_cancellation stays separate. WO (5 concerns, no enrichment stage): the handler loop keeps validate_ai_fallback and the re.fullmatch(r"[0-9]+", work_order_id) key guard ahead of both save_work_order and save_event, since the guard protects the DynamoDB partition key and the '#'-delimited comment_id range-key segment. _header_date_iso and comment_id determinism stay colocated with persistence.py's save_event for the retry-idempotent event_id key. EXTRACTION_PROMPT (PO) moves to prompts.py with cross-reference headers to derived_fields.py's authoritative trade/site/fiscal rule tables; handler.py re-exports it (from prompts import EXTRACTION_PROMPT) since four tests dereference handler.EXTRACTION_ PROMPT directly. WO's prompt moves the same way. I/O modules (extraction.py's bedrock client, persistence.py's dynamodb resource, handler.py's s3 client) get lazy cached boto3 accessors; pure modules (enrichment.py, prompts.py, telemetry.py) import no boto3. Test monkeypatch surfaces move to the module that now owns the client (e.g. persistence.dynamodb) everywhere tests patch it, and the moto-before-handler-import ordering in _po_parser_support.py is preserved so the moto-backed suites don't hit real AWS. Behavior-preservation pins, verified with tests: PO still emits ParseMethod=ai_fallback before the Bedrock call, with ai_fallback_rejected as the additive second datapoint on rejection. WO still emits after its gate with mutually-exclusive ai_fallback / ai_fallback_rejected. Shadow DerivedFieldAgreement telemetry stays ai_fallback-only. derived_fields.py is untouched (diff against feature/phase-3-shared-extraction is empty). handler(event, context) signatures and the save_* public contract are unchanged on both pipelines; goldens unchanged. PO_EXPECTED_TOP_LEVEL_MODULES and its WO equivalent in tests/test_bundle_consistency.py are updated for the new sibling modules so the AST bundle-consistency test still fails on an unshipped or uncommented-out sibling.
2026-07-20 15:34:53 -04:00
persistence.save_event(
feat: template-first WO parser + Bedrock fallback, PO Bedrock switch (#99) * Add deterministic template parser for WO emails The workorder-email-processor sends every one of ~22.9k emails/month to an LLM, but ~93.6% are the plain-text "AMAZON UPDATE WO DETAILS" comment template and ~6.4% the HTML "AMAZON assign Work Order" template. Parse those two shapes deterministically, offline, so the AI call is reserved for the long tail. The module is pure (no boto3, no network). try_deterministic_parse classifies by subject, extracts the shared contract fields, and returns a result ONLY when it passes a strict fail-closed validation gate: exact contract-key set, subject/id agreement, the literal "Work Order: <id>" double space, per-type required fields, site-code shape, and a label-bleed guard so a value that over-ran into the next field fails. Any miss, drift, or extractor exception yields None so the caller falls back to the AI extractor -- data is never corrupted, only the fallback rate rises. Refs: #23 * Migrate WO processor to Bedrock and fix comment_id collision Switch the AI path from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so parsing no longer needs a provider API key or Secrets Manager secret. The EXTRACTION_PROMPT and JSON contract are kept byte-identical, so the AI-fallback output is unchanged. Try the new deterministic template parser first and only call Bedrock on a miss/invalid result. Fix issue #23: the WorkOrderComments range key was work_order_id#<comment_time>, so two emails on one WO with an identical or absent comment time collided and overwrote each other. Derive a 12-hex suffix from the S3 object key alone -- deterministic, so an async retry of the same object is byte-identical (idempotent) while distinct emails get distinct keys -- and keep wall-clock now() out of the key (literal 'nocomment' segment when comment_time is absent). Also emit one CloudWatch EMF line per record (Seahaven/WorkorderIngest ParseOutcome, dimensioned by ParseMethod/TemplateId) for parse-outcome observability, replace the deprecated datetime.utcnow() with datetime.now(timezone.utc), and drop the anthropic dependency. Refs: #23 * Migrate PO processor to Bedrock Switch the PO email processor's AI extraction from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so it no longer needs a provider API key or Secrets Manager secret. PO parsing stays fully AI -- only the provider changes. The EXTRACTION_PROMPT is kept byte-identical and the Bedrock text output is still decoded with json.loads(..., parse_float=Decimal), which DynamoDB requires (it rejects floats). Replace the deprecated datetime.utcnow() with datetime.now(timezone.utc) and drop the anthropic dependency. * Grant Bedrock IAM, drop Anthropic secrets, add fallback alarm Both stacks moved their processors from the Anthropic API to the Bedrock inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0. Grant each processor role bedrock:InvokeModel + bedrock:InvokeModelWithResponseStream on BOTH the inference-profile ARN AND the per-region foundation-model ARNs for us-east-1/us-east-2/us-west-2 (empty-account) -- the us.* profile routes cross-region, so a profile-only grant AccessDenies at runtime. Remove both anthropic-api-key Secret constructs, their grant_read, and the ANTHROPIC_API_KEY_SECRET_ARN env; add BEDROCK_MODEL_ID. The secrets had RemovalPolicy.RETAIN so they are orphaned, not deleted -- flagged in the README for manual post-deploy deletion and key revocation. Add the workorder-email-processor-template-fallback-rate alarm: a FILL(0) + >=10-sample volume-floor MathExpression over the EMF ParseOutcome metric (15-min periods) that pages when the AI-fallback share exceeds 15% sustained, catching Hexagon template drift. ALARM-only SnsAction to site-alerts, no OK action, NOT_BREACHING, matching the existing stack idiom. * Add offline WO parser test suite Cover the deterministic parser with golden-file tests over 55 real scrubbed .eml fixtures (both comment sub-shapes, username Submitted-By, address present/absent, br+CRLF assign addresses), fail-closed validation-gate rules, adversarial and prompt-injection cases that must route to ai_fallback or parse without corrupting other fields, the issue #23 comment_id idempotency invariants, and the Bedrock-fallback dispatch plus EMF-metric emission with a mocked invoke_model. Extend pytest.ini testpaths to discover the co-located suite, and update tests/conftest.load_handler to put a handler's own directory on sys.path so the WO handler's new `from template_parser import ...` resolves under the existing shared handler tests. Point test_local.py at the new template-first + Bedrock flow. Refs: #23 * Document Bedrock migration and WO parse flow in README Record the provider switch to the Bedrock inference profile (no Anthropic API key or Secrets Manager secret, with the retired secrets flagged for manual deletion), the WO deterministic-template-first + AI-fallback flow, the new ParseOutcome EMF metric and template-fallback-rate alarm, the issue #23 comment_id format change, the +00:00 aware-UTC timestamp shift, and offline test instructions. Refs: #23 * Fix f-string lint and formatting in backfill scripts Drop the f prefix from two f-strings that carry no placeholders (F541) and apply ruff format, so `ruff check` / `ruff format --check` pass in CI. * Emit ParseMethod-only EMF set so fallback alarm can fire The fallback-rate alarm queries the ParseOutcome series keyed on ParseMethod alone, but the emitter published only the joint (ParseMethod, TemplateId) dimension set. CloudWatch materializes exactly the listed dimension sets and does not auto-aggregate, so the alarm's series never received data: it evaluated a constant 0 and could never page on template-drift coverage collapse. Publish both ["ParseMethod"] and ["ParseMethod","TemplateId"] and update the EMF regression test to assert both sets are present. * Commit WO parser .eml fixtures for executable coverage The parser test suite globbed for input .eml fixtures that the repo's `*.eml` ignore rule kept uncommitted, so every parametrized golden and fail-closed test collected zero cases and CI could not exercise the deterministic parser that handles 100% of WO email volume. Add a fixtures-only negation to .gitignore and commit the 55 scrubbed positive samples (50 update-plaintext, 5 assign-html) plus 14 ai-fallback and 3 adversarial fixtures. The ai-fallback set covers each fail-closed reason code (subject_no_match, single_space_work_order, malformed_site_code, label_bleed, creation_time_unparseable, wo_id_mismatch, missing_required_field) and the adversarial set proves the parser is total and confines prompt-injection payloads to comment_text without steering the structured fields. * Fix WO parser advisories A1-A3 (PR #99 follow-ups) A1 — AI-fallback comment_id nondeterminism: parsed comment_time is model output and not stable across Lambda async retries, so on the ai_fallback path the comment_id range-key time segment now derives from the email Date header (deterministic per S3 object) instead of the model's comment_time. The template path is unchanged (its comment_time is a pure function of the raw email). Bedrock invoke pins temperature 0 so retries reproduce the same extraction. Closes the #23 reopening on the AI path. A2 — EMF record now carries the spec-required _aws.Timestamp (epoch ms) so CloudWatch reliably extracts the ParseOutcome datapoint that the fallback-rate alarm depends on. A3 — T1 New Comment capture no longer truncates at the first blank line; multi-paragraph comments are captured through internal blanks and terminate at the next label/separator. 17 golden files regenerated from the real fixtures accordingly. Hardening from the sh-security-review pass on this diff: - _header_date_iso is total: OverflowError/OSError from an extreme Date header fall back to 'nocomment' instead of failing the invocation. - _capture_block trims blanks in O(n) (no pop(0)) — removes a quadratic path on a crafted large blank run. - work_order_id is enforced digits-only on BOTH parse paths before it is used as a DynamoDB key, so prompt-injected AI output cannot forge '#' range-key segments or land on an arbitrary WO.
2026-07-16 12:45:11 -04:00
parsed, "s3://bucket/inbound/obj-b", "inbound/obj-b", "template", DATE_HEADER
)
feat: decompose email-processor handlers into flat siblings + lazy boto3 clients (refactor phase 5) (#113) Both email-processor God-handlers split along the seams that already work in the flat-sibling pattern established by lambdas/shared/, so bare-name imports keep working under the existing bundling glob. PO (5-way split): handler.py keeps only the event loop, fail-closed auth, and email_type routing. extraction.py holds extract_with_claude and _EMAIL_TAG_RE, importing EXTRACTION_PROMPT from prompts.py and parse_raw_email from shared/email_parsing.py rather than recreating a PO-local copy. enrichment.py is a pure code move of enrich_parsed and pad_zip (PO-only; WO has no enrichment stage) with zero behavior change. telemetry.py holds the EMF ParseMethod emit wrappers. persistence.py holds _write_fields/_merge_update/save_*, collapsing the byte-identical save_new_po/save_revision bodies into one _save_merge helper that both now call through, preserving the sticky Cancelled ConditionExpression guard for both callers; save_cancellation stays separate. WO (5 concerns, no enrichment stage): the handler loop keeps validate_ai_fallback and the re.fullmatch(r"[0-9]+", work_order_id) key guard ahead of both save_work_order and save_event, since the guard protects the DynamoDB partition key and the '#'-delimited comment_id range-key segment. _header_date_iso and comment_id determinism stay colocated with persistence.py's save_event for the retry-idempotent event_id key. EXTRACTION_PROMPT (PO) moves to prompts.py with cross-reference headers to derived_fields.py's authoritative trade/site/fiscal rule tables; handler.py re-exports it (from prompts import EXTRACTION_PROMPT) since four tests dereference handler.EXTRACTION_ PROMPT directly. WO's prompt moves the same way. I/O modules (extraction.py's bedrock client, persistence.py's dynamodb resource, handler.py's s3 client) get lazy cached boto3 accessors; pure modules (enrichment.py, prompts.py, telemetry.py) import no boto3. Test monkeypatch surfaces move to the module that now owns the client (e.g. persistence.dynamodb) everywhere tests patch it, and the moto-before-handler-import ordering in _po_parser_support.py is preserved so the moto-backed suites don't hit real AWS. Behavior-preservation pins, verified with tests: PO still emits ParseMethod=ai_fallback before the Bedrock call, with ai_fallback_rejected as the additive second datapoint on rejection. WO still emits after its gate with mutually-exclusive ai_fallback / ai_fallback_rejected. Shadow DerivedFieldAgreement telemetry stays ai_fallback-only. derived_fields.py is untouched (diff against feature/phase-3-shared-extraction is empty). handler(event, context) signatures and the save_* public contract are unchanged on both pipelines; goldens unchanged. PO_EXPECTED_TOP_LEVEL_MODULES and its WO equivalent in tests/test_bundle_consistency.py are updated for the new sibling modules so the AST bundle-consistency test still fails on an unshipped or uncommented-out sibling.
2026-07-20 15:34:53 -04:00
table = fake_dynamo.tables[persistence.COMMENTS_TABLE]
feat: template-first WO parser + Bedrock fallback, PO Bedrock switch (#99) * Add deterministic template parser for WO emails The workorder-email-processor sends every one of ~22.9k emails/month to an LLM, but ~93.6% are the plain-text "AMAZON UPDATE WO DETAILS" comment template and ~6.4% the HTML "AMAZON assign Work Order" template. Parse those two shapes deterministically, offline, so the AI call is reserved for the long tail. The module is pure (no boto3, no network). try_deterministic_parse classifies by subject, extracts the shared contract fields, and returns a result ONLY when it passes a strict fail-closed validation gate: exact contract-key set, subject/id agreement, the literal "Work Order: <id>" double space, per-type required fields, site-code shape, and a label-bleed guard so a value that over-ran into the next field fails. Any miss, drift, or extractor exception yields None so the caller falls back to the AI extractor -- data is never corrupted, only the fallback rate rises. Refs: #23 * Migrate WO processor to Bedrock and fix comment_id collision Switch the AI path from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so parsing no longer needs a provider API key or Secrets Manager secret. The EXTRACTION_PROMPT and JSON contract are kept byte-identical, so the AI-fallback output is unchanged. Try the new deterministic template parser first and only call Bedrock on a miss/invalid result. Fix issue #23: the WorkOrderComments range key was work_order_id#<comment_time>, so two emails on one WO with an identical or absent comment time collided and overwrote each other. Derive a 12-hex suffix from the S3 object key alone -- deterministic, so an async retry of the same object is byte-identical (idempotent) while distinct emails get distinct keys -- and keep wall-clock now() out of the key (literal 'nocomment' segment when comment_time is absent). Also emit one CloudWatch EMF line per record (Seahaven/WorkorderIngest ParseOutcome, dimensioned by ParseMethod/TemplateId) for parse-outcome observability, replace the deprecated datetime.utcnow() with datetime.now(timezone.utc), and drop the anthropic dependency. Refs: #23 * Migrate PO processor to Bedrock Switch the PO email processor's AI extraction from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so it no longer needs a provider API key or Secrets Manager secret. PO parsing stays fully AI -- only the provider changes. The EXTRACTION_PROMPT is kept byte-identical and the Bedrock text output is still decoded with json.loads(..., parse_float=Decimal), which DynamoDB requires (it rejects floats). Replace the deprecated datetime.utcnow() with datetime.now(timezone.utc) and drop the anthropic dependency. * Grant Bedrock IAM, drop Anthropic secrets, add fallback alarm Both stacks moved their processors from the Anthropic API to the Bedrock inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0. Grant each processor role bedrock:InvokeModel + bedrock:InvokeModelWithResponseStream on BOTH the inference-profile ARN AND the per-region foundation-model ARNs for us-east-1/us-east-2/us-west-2 (empty-account) -- the us.* profile routes cross-region, so a profile-only grant AccessDenies at runtime. Remove both anthropic-api-key Secret constructs, their grant_read, and the ANTHROPIC_API_KEY_SECRET_ARN env; add BEDROCK_MODEL_ID. The secrets had RemovalPolicy.RETAIN so they are orphaned, not deleted -- flagged in the README for manual post-deploy deletion and key revocation. Add the workorder-email-processor-template-fallback-rate alarm: a FILL(0) + >=10-sample volume-floor MathExpression over the EMF ParseOutcome metric (15-min periods) that pages when the AI-fallback share exceeds 15% sustained, catching Hexagon template drift. ALARM-only SnsAction to site-alerts, no OK action, NOT_BREACHING, matching the existing stack idiom. * Add offline WO parser test suite Cover the deterministic parser with golden-file tests over 55 real scrubbed .eml fixtures (both comment sub-shapes, username Submitted-By, address present/absent, br+CRLF assign addresses), fail-closed validation-gate rules, adversarial and prompt-injection cases that must route to ai_fallback or parse without corrupting other fields, the issue #23 comment_id idempotency invariants, and the Bedrock-fallback dispatch plus EMF-metric emission with a mocked invoke_model. Extend pytest.ini testpaths to discover the co-located suite, and update tests/conftest.load_handler to put a handler's own directory on sys.path so the WO handler's new `from template_parser import ...` resolves under the existing shared handler tests. Point test_local.py at the new template-first + Bedrock flow. Refs: #23 * Document Bedrock migration and WO parse flow in README Record the provider switch to the Bedrock inference profile (no Anthropic API key or Secrets Manager secret, with the retired secrets flagged for manual deletion), the WO deterministic-template-first + AI-fallback flow, the new ParseOutcome EMF metric and template-fallback-rate alarm, the issue #23 comment_id format change, the +00:00 aware-UTC timestamp shift, and offline test instructions. Refs: #23 * Fix f-string lint and formatting in backfill scripts Drop the f prefix from two f-strings that carry no placeholders (F541) and apply ruff format, so `ruff check` / `ruff format --check` pass in CI. * Emit ParseMethod-only EMF set so fallback alarm can fire The fallback-rate alarm queries the ParseOutcome series keyed on ParseMethod alone, but the emitter published only the joint (ParseMethod, TemplateId) dimension set. CloudWatch materializes exactly the listed dimension sets and does not auto-aggregate, so the alarm's series never received data: it evaluated a constant 0 and could never page on template-drift coverage collapse. Publish both ["ParseMethod"] and ["ParseMethod","TemplateId"] and update the EMF regression test to assert both sets are present. * Commit WO parser .eml fixtures for executable coverage The parser test suite globbed for input .eml fixtures that the repo's `*.eml` ignore rule kept uncommitted, so every parametrized golden and fail-closed test collected zero cases and CI could not exercise the deterministic parser that handles 100% of WO email volume. Add a fixtures-only negation to .gitignore and commit the 55 scrubbed positive samples (50 update-plaintext, 5 assign-html) plus 14 ai-fallback and 3 adversarial fixtures. The ai-fallback set covers each fail-closed reason code (subject_no_match, single_space_work_order, malformed_site_code, label_bleed, creation_time_unparseable, wo_id_mismatch, missing_required_field) and the adversarial set proves the parser is total and confines prompt-injection payloads to comment_text without steering the structured fields. * Fix WO parser advisories A1-A3 (PR #99 follow-ups) A1 — AI-fallback comment_id nondeterminism: parsed comment_time is model output and not stable across Lambda async retries, so on the ai_fallback path the comment_id range-key time segment now derives from the email Date header (deterministic per S3 object) instead of the model's comment_time. The template path is unchanged (its comment_time is a pure function of the raw email). Bedrock invoke pins temperature 0 so retries reproduce the same extraction. Closes the #23 reopening on the AI path. A2 — EMF record now carries the spec-required _aws.Timestamp (epoch ms) so CloudWatch reliably extracts the ParseOutcome datapoint that the fallback-rate alarm depends on. A3 — T1 New Comment capture no longer truncates at the first blank line; multi-paragraph comments are captured through internal blanks and terminate at the next label/separator. 17 golden files regenerated from the real fixtures accordingly. Hardening from the sh-security-review pass on this diff: - _header_date_iso is total: OverflowError/OSError from an extreme Date header fall back to 'nocomment' instead of failing the invocation. - _capture_block trims blanks in O(n) (no pop(0)) — removes a quadratic path on a crafted large blank run. - work_order_id is enforced digits-only on BOTH parse paths before it is used as a DynamoDB key, so prompt-injected AI output cannot forge '#' range-key segments or land on an arbitrary WO.
2026-07-16 12:45:11 -04:00
ids = _comment_ids(table)
assert ids[0] != ids[1]
assert len(table.store) == 2
def test_absent_comment_time_is_stable_across_retries(fake_dynamo):
parsed = _parsed(comment_time=None)
feat: decompose email-processor handlers into flat siblings + lazy boto3 clients (refactor phase 5) (#113) Both email-processor God-handlers split along the seams that already work in the flat-sibling pattern established by lambdas/shared/, so bare-name imports keep working under the existing bundling glob. PO (5-way split): handler.py keeps only the event loop, fail-closed auth, and email_type routing. extraction.py holds extract_with_claude and _EMAIL_TAG_RE, importing EXTRACTION_PROMPT from prompts.py and parse_raw_email from shared/email_parsing.py rather than recreating a PO-local copy. enrichment.py is a pure code move of enrich_parsed and pad_zip (PO-only; WO has no enrichment stage) with zero behavior change. telemetry.py holds the EMF ParseMethod emit wrappers. persistence.py holds _write_fields/_merge_update/save_*, collapsing the byte-identical save_new_po/save_revision bodies into one _save_merge helper that both now call through, preserving the sticky Cancelled ConditionExpression guard for both callers; save_cancellation stays separate. WO (5 concerns, no enrichment stage): the handler loop keeps validate_ai_fallback and the re.fullmatch(r"[0-9]+", work_order_id) key guard ahead of both save_work_order and save_event, since the guard protects the DynamoDB partition key and the '#'-delimited comment_id range-key segment. _header_date_iso and comment_id determinism stay colocated with persistence.py's save_event for the retry-idempotent event_id key. EXTRACTION_PROMPT (PO) moves to prompts.py with cross-reference headers to derived_fields.py's authoritative trade/site/fiscal rule tables; handler.py re-exports it (from prompts import EXTRACTION_PROMPT) since four tests dereference handler.EXTRACTION_ PROMPT directly. WO's prompt moves the same way. I/O modules (extraction.py's bedrock client, persistence.py's dynamodb resource, handler.py's s3 client) get lazy cached boto3 accessors; pure modules (enrichment.py, prompts.py, telemetry.py) import no boto3. Test monkeypatch surfaces move to the module that now owns the client (e.g. persistence.dynamodb) everywhere tests patch it, and the moto-before-handler-import ordering in _po_parser_support.py is preserved so the moto-backed suites don't hit real AWS. Behavior-preservation pins, verified with tests: PO still emits ParseMethod=ai_fallback before the Bedrock call, with ai_fallback_rejected as the additive second datapoint on rejection. WO still emits after its gate with mutually-exclusive ai_fallback / ai_fallback_rejected. Shadow DerivedFieldAgreement telemetry stays ai_fallback-only. derived_fields.py is untouched (diff against feature/phase-3-shared-extraction is empty). handler(event, context) signatures and the save_* public contract are unchanged on both pipelines; goldens unchanged. PO_EXPECTED_TOP_LEVEL_MODULES and its WO equivalent in tests/test_bundle_consistency.py are updated for the new sibling modules so the AST bundle-consistency test still fails on an unshipped or uncommented-out sibling.
2026-07-20 15:34:53 -04:00
persistence.save_event(
feat: template-first WO parser + Bedrock fallback, PO Bedrock switch (#99) * Add deterministic template parser for WO emails The workorder-email-processor sends every one of ~22.9k emails/month to an LLM, but ~93.6% are the plain-text "AMAZON UPDATE WO DETAILS" comment template and ~6.4% the HTML "AMAZON assign Work Order" template. Parse those two shapes deterministically, offline, so the AI call is reserved for the long tail. The module is pure (no boto3, no network). try_deterministic_parse classifies by subject, extracts the shared contract fields, and returns a result ONLY when it passes a strict fail-closed validation gate: exact contract-key set, subject/id agreement, the literal "Work Order: <id>" double space, per-type required fields, site-code shape, and a label-bleed guard so a value that over-ran into the next field fails. Any miss, drift, or extractor exception yields None so the caller falls back to the AI extractor -- data is never corrupted, only the fallback rate rises. Refs: #23 * Migrate WO processor to Bedrock and fix comment_id collision Switch the AI path from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so parsing no longer needs a provider API key or Secrets Manager secret. The EXTRACTION_PROMPT and JSON contract are kept byte-identical, so the AI-fallback output is unchanged. Try the new deterministic template parser first and only call Bedrock on a miss/invalid result. Fix issue #23: the WorkOrderComments range key was work_order_id#<comment_time>, so two emails on one WO with an identical or absent comment time collided and overwrote each other. Derive a 12-hex suffix from the S3 object key alone -- deterministic, so an async retry of the same object is byte-identical (idempotent) while distinct emails get distinct keys -- and keep wall-clock now() out of the key (literal 'nocomment' segment when comment_time is absent). Also emit one CloudWatch EMF line per record (Seahaven/WorkorderIngest ParseOutcome, dimensioned by ParseMethod/TemplateId) for parse-outcome observability, replace the deprecated datetime.utcnow() with datetime.now(timezone.utc), and drop the anthropic dependency. Refs: #23 * Migrate PO processor to Bedrock Switch the PO email processor's AI extraction from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so it no longer needs a provider API key or Secrets Manager secret. PO parsing stays fully AI -- only the provider changes. The EXTRACTION_PROMPT is kept byte-identical and the Bedrock text output is still decoded with json.loads(..., parse_float=Decimal), which DynamoDB requires (it rejects floats). Replace the deprecated datetime.utcnow() with datetime.now(timezone.utc) and drop the anthropic dependency. * Grant Bedrock IAM, drop Anthropic secrets, add fallback alarm Both stacks moved their processors from the Anthropic API to the Bedrock inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0. Grant each processor role bedrock:InvokeModel + bedrock:InvokeModelWithResponseStream on BOTH the inference-profile ARN AND the per-region foundation-model ARNs for us-east-1/us-east-2/us-west-2 (empty-account) -- the us.* profile routes cross-region, so a profile-only grant AccessDenies at runtime. Remove both anthropic-api-key Secret constructs, their grant_read, and the ANTHROPIC_API_KEY_SECRET_ARN env; add BEDROCK_MODEL_ID. The secrets had RemovalPolicy.RETAIN so they are orphaned, not deleted -- flagged in the README for manual post-deploy deletion and key revocation. Add the workorder-email-processor-template-fallback-rate alarm: a FILL(0) + >=10-sample volume-floor MathExpression over the EMF ParseOutcome metric (15-min periods) that pages when the AI-fallback share exceeds 15% sustained, catching Hexagon template drift. ALARM-only SnsAction to site-alerts, no OK action, NOT_BREACHING, matching the existing stack idiom. * Add offline WO parser test suite Cover the deterministic parser with golden-file tests over 55 real scrubbed .eml fixtures (both comment sub-shapes, username Submitted-By, address present/absent, br+CRLF assign addresses), fail-closed validation-gate rules, adversarial and prompt-injection cases that must route to ai_fallback or parse without corrupting other fields, the issue #23 comment_id idempotency invariants, and the Bedrock-fallback dispatch plus EMF-metric emission with a mocked invoke_model. Extend pytest.ini testpaths to discover the co-located suite, and update tests/conftest.load_handler to put a handler's own directory on sys.path so the WO handler's new `from template_parser import ...` resolves under the existing shared handler tests. Point test_local.py at the new template-first + Bedrock flow. Refs: #23 * Document Bedrock migration and WO parse flow in README Record the provider switch to the Bedrock inference profile (no Anthropic API key or Secrets Manager secret, with the retired secrets flagged for manual deletion), the WO deterministic-template-first + AI-fallback flow, the new ParseOutcome EMF metric and template-fallback-rate alarm, the issue #23 comment_id format change, the +00:00 aware-UTC timestamp shift, and offline test instructions. Refs: #23 * Fix f-string lint and formatting in backfill scripts Drop the f prefix from two f-strings that carry no placeholders (F541) and apply ruff format, so `ruff check` / `ruff format --check` pass in CI. * Emit ParseMethod-only EMF set so fallback alarm can fire The fallback-rate alarm queries the ParseOutcome series keyed on ParseMethod alone, but the emitter published only the joint (ParseMethod, TemplateId) dimension set. CloudWatch materializes exactly the listed dimension sets and does not auto-aggregate, so the alarm's series never received data: it evaluated a constant 0 and could never page on template-drift coverage collapse. Publish both ["ParseMethod"] and ["ParseMethod","TemplateId"] and update the EMF regression test to assert both sets are present. * Commit WO parser .eml fixtures for executable coverage The parser test suite globbed for input .eml fixtures that the repo's `*.eml` ignore rule kept uncommitted, so every parametrized golden and fail-closed test collected zero cases and CI could not exercise the deterministic parser that handles 100% of WO email volume. Add a fixtures-only negation to .gitignore and commit the 55 scrubbed positive samples (50 update-plaintext, 5 assign-html) plus 14 ai-fallback and 3 adversarial fixtures. The ai-fallback set covers each fail-closed reason code (subject_no_match, single_space_work_order, malformed_site_code, label_bleed, creation_time_unparseable, wo_id_mismatch, missing_required_field) and the adversarial set proves the parser is total and confines prompt-injection payloads to comment_text without steering the structured fields. * Fix WO parser advisories A1-A3 (PR #99 follow-ups) A1 — AI-fallback comment_id nondeterminism: parsed comment_time is model output and not stable across Lambda async retries, so on the ai_fallback path the comment_id range-key time segment now derives from the email Date header (deterministic per S3 object) instead of the model's comment_time. The template path is unchanged (its comment_time is a pure function of the raw email). Bedrock invoke pins temperature 0 so retries reproduce the same extraction. Closes the #23 reopening on the AI path. A2 — EMF record now carries the spec-required _aws.Timestamp (epoch ms) so CloudWatch reliably extracts the ParseOutcome datapoint that the fallback-rate alarm depends on. A3 — T1 New Comment capture no longer truncates at the first blank line; multi-paragraph comments are captured through internal blanks and terminate at the next label/separator. 17 golden files regenerated from the real fixtures accordingly. Hardening from the sh-security-review pass on this diff: - _header_date_iso is total: OverflowError/OSError from an extreme Date header fall back to 'nocomment' instead of failing the invocation. - _capture_block trims blanks in O(n) (no pop(0)) — removes a quadratic path on a crafted large blank run. - work_order_id is enforced digits-only on BOTH parse paths before it is used as a DynamoDB key, so prompt-injected AI output cannot forge '#' range-key segments or land on an arbitrary WO.
2026-07-16 12:45:11 -04:00
parsed, "s3://bucket/inbound/obj-c", "inbound/obj-c", "template", DATE_HEADER
)
feat: decompose email-processor handlers into flat siblings + lazy boto3 clients (refactor phase 5) (#113) Both email-processor God-handlers split along the seams that already work in the flat-sibling pattern established by lambdas/shared/, so bare-name imports keep working under the existing bundling glob. PO (5-way split): handler.py keeps only the event loop, fail-closed auth, and email_type routing. extraction.py holds extract_with_claude and _EMAIL_TAG_RE, importing EXTRACTION_PROMPT from prompts.py and parse_raw_email from shared/email_parsing.py rather than recreating a PO-local copy. enrichment.py is a pure code move of enrich_parsed and pad_zip (PO-only; WO has no enrichment stage) with zero behavior change. telemetry.py holds the EMF ParseMethod emit wrappers. persistence.py holds _write_fields/_merge_update/save_*, collapsing the byte-identical save_new_po/save_revision bodies into one _save_merge helper that both now call through, preserving the sticky Cancelled ConditionExpression guard for both callers; save_cancellation stays separate. WO (5 concerns, no enrichment stage): the handler loop keeps validate_ai_fallback and the re.fullmatch(r"[0-9]+", work_order_id) key guard ahead of both save_work_order and save_event, since the guard protects the DynamoDB partition key and the '#'-delimited comment_id range-key segment. _header_date_iso and comment_id determinism stay colocated with persistence.py's save_event for the retry-idempotent event_id key. EXTRACTION_PROMPT (PO) moves to prompts.py with cross-reference headers to derived_fields.py's authoritative trade/site/fiscal rule tables; handler.py re-exports it (from prompts import EXTRACTION_PROMPT) since four tests dereference handler.EXTRACTION_ PROMPT directly. WO's prompt moves the same way. I/O modules (extraction.py's bedrock client, persistence.py's dynamodb resource, handler.py's s3 client) get lazy cached boto3 accessors; pure modules (enrichment.py, prompts.py, telemetry.py) import no boto3. Test monkeypatch surfaces move to the module that now owns the client (e.g. persistence.dynamodb) everywhere tests patch it, and the moto-before-handler-import ordering in _po_parser_support.py is preserved so the moto-backed suites don't hit real AWS. Behavior-preservation pins, verified with tests: PO still emits ParseMethod=ai_fallback before the Bedrock call, with ai_fallback_rejected as the additive second datapoint on rejection. WO still emits after its gate with mutually-exclusive ai_fallback / ai_fallback_rejected. Shadow DerivedFieldAgreement telemetry stays ai_fallback-only. derived_fields.py is untouched (diff against feature/phase-3-shared-extraction is empty). handler(event, context) signatures and the save_* public contract are unchanged on both pipelines; goldens unchanged. PO_EXPECTED_TOP_LEVEL_MODULES and its WO equivalent in tests/test_bundle_consistency.py are updated for the new sibling modules so the AST bundle-consistency test still fails on an unshipped or uncommented-out sibling.
2026-07-20 15:34:53 -04:00
persistence.save_event(
feat: template-first WO parser + Bedrock fallback, PO Bedrock switch (#99) * Add deterministic template parser for WO emails The workorder-email-processor sends every one of ~22.9k emails/month to an LLM, but ~93.6% are the plain-text "AMAZON UPDATE WO DETAILS" comment template and ~6.4% the HTML "AMAZON assign Work Order" template. Parse those two shapes deterministically, offline, so the AI call is reserved for the long tail. The module is pure (no boto3, no network). try_deterministic_parse classifies by subject, extracts the shared contract fields, and returns a result ONLY when it passes a strict fail-closed validation gate: exact contract-key set, subject/id agreement, the literal "Work Order: <id>" double space, per-type required fields, site-code shape, and a label-bleed guard so a value that over-ran into the next field fails. Any miss, drift, or extractor exception yields None so the caller falls back to the AI extractor -- data is never corrupted, only the fallback rate rises. Refs: #23 * Migrate WO processor to Bedrock and fix comment_id collision Switch the AI path from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so parsing no longer needs a provider API key or Secrets Manager secret. The EXTRACTION_PROMPT and JSON contract are kept byte-identical, so the AI-fallback output is unchanged. Try the new deterministic template parser first and only call Bedrock on a miss/invalid result. Fix issue #23: the WorkOrderComments range key was work_order_id#<comment_time>, so two emails on one WO with an identical or absent comment time collided and overwrote each other. Derive a 12-hex suffix from the S3 object key alone -- deterministic, so an async retry of the same object is byte-identical (idempotent) while distinct emails get distinct keys -- and keep wall-clock now() out of the key (literal 'nocomment' segment when comment_time is absent). Also emit one CloudWatch EMF line per record (Seahaven/WorkorderIngest ParseOutcome, dimensioned by ParseMethod/TemplateId) for parse-outcome observability, replace the deprecated datetime.utcnow() with datetime.now(timezone.utc), and drop the anthropic dependency. Refs: #23 * Migrate PO processor to Bedrock Switch the PO email processor's AI extraction from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so it no longer needs a provider API key or Secrets Manager secret. PO parsing stays fully AI -- only the provider changes. The EXTRACTION_PROMPT is kept byte-identical and the Bedrock text output is still decoded with json.loads(..., parse_float=Decimal), which DynamoDB requires (it rejects floats). Replace the deprecated datetime.utcnow() with datetime.now(timezone.utc) and drop the anthropic dependency. * Grant Bedrock IAM, drop Anthropic secrets, add fallback alarm Both stacks moved their processors from the Anthropic API to the Bedrock inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0. Grant each processor role bedrock:InvokeModel + bedrock:InvokeModelWithResponseStream on BOTH the inference-profile ARN AND the per-region foundation-model ARNs for us-east-1/us-east-2/us-west-2 (empty-account) -- the us.* profile routes cross-region, so a profile-only grant AccessDenies at runtime. Remove both anthropic-api-key Secret constructs, their grant_read, and the ANTHROPIC_API_KEY_SECRET_ARN env; add BEDROCK_MODEL_ID. The secrets had RemovalPolicy.RETAIN so they are orphaned, not deleted -- flagged in the README for manual post-deploy deletion and key revocation. Add the workorder-email-processor-template-fallback-rate alarm: a FILL(0) + >=10-sample volume-floor MathExpression over the EMF ParseOutcome metric (15-min periods) that pages when the AI-fallback share exceeds 15% sustained, catching Hexagon template drift. ALARM-only SnsAction to site-alerts, no OK action, NOT_BREACHING, matching the existing stack idiom. * Add offline WO parser test suite Cover the deterministic parser with golden-file tests over 55 real scrubbed .eml fixtures (both comment sub-shapes, username Submitted-By, address present/absent, br+CRLF assign addresses), fail-closed validation-gate rules, adversarial and prompt-injection cases that must route to ai_fallback or parse without corrupting other fields, the issue #23 comment_id idempotency invariants, and the Bedrock-fallback dispatch plus EMF-metric emission with a mocked invoke_model. Extend pytest.ini testpaths to discover the co-located suite, and update tests/conftest.load_handler to put a handler's own directory on sys.path so the WO handler's new `from template_parser import ...` resolves under the existing shared handler tests. Point test_local.py at the new template-first + Bedrock flow. Refs: #23 * Document Bedrock migration and WO parse flow in README Record the provider switch to the Bedrock inference profile (no Anthropic API key or Secrets Manager secret, with the retired secrets flagged for manual deletion), the WO deterministic-template-first + AI-fallback flow, the new ParseOutcome EMF metric and template-fallback-rate alarm, the issue #23 comment_id format change, the +00:00 aware-UTC timestamp shift, and offline test instructions. Refs: #23 * Fix f-string lint and formatting in backfill scripts Drop the f prefix from two f-strings that carry no placeholders (F541) and apply ruff format, so `ruff check` / `ruff format --check` pass in CI. * Emit ParseMethod-only EMF set so fallback alarm can fire The fallback-rate alarm queries the ParseOutcome series keyed on ParseMethod alone, but the emitter published only the joint (ParseMethod, TemplateId) dimension set. CloudWatch materializes exactly the listed dimension sets and does not auto-aggregate, so the alarm's series never received data: it evaluated a constant 0 and could never page on template-drift coverage collapse. Publish both ["ParseMethod"] and ["ParseMethod","TemplateId"] and update the EMF regression test to assert both sets are present. * Commit WO parser .eml fixtures for executable coverage The parser test suite globbed for input .eml fixtures that the repo's `*.eml` ignore rule kept uncommitted, so every parametrized golden and fail-closed test collected zero cases and CI could not exercise the deterministic parser that handles 100% of WO email volume. Add a fixtures-only negation to .gitignore and commit the 55 scrubbed positive samples (50 update-plaintext, 5 assign-html) plus 14 ai-fallback and 3 adversarial fixtures. The ai-fallback set covers each fail-closed reason code (subject_no_match, single_space_work_order, malformed_site_code, label_bleed, creation_time_unparseable, wo_id_mismatch, missing_required_field) and the adversarial set proves the parser is total and confines prompt-injection payloads to comment_text without steering the structured fields. * Fix WO parser advisories A1-A3 (PR #99 follow-ups) A1 — AI-fallback comment_id nondeterminism: parsed comment_time is model output and not stable across Lambda async retries, so on the ai_fallback path the comment_id range-key time segment now derives from the email Date header (deterministic per S3 object) instead of the model's comment_time. The template path is unchanged (its comment_time is a pure function of the raw email). Bedrock invoke pins temperature 0 so retries reproduce the same extraction. Closes the #23 reopening on the AI path. A2 — EMF record now carries the spec-required _aws.Timestamp (epoch ms) so CloudWatch reliably extracts the ParseOutcome datapoint that the fallback-rate alarm depends on. A3 — T1 New Comment capture no longer truncates at the first blank line; multi-paragraph comments are captured through internal blanks and terminate at the next label/separator. 17 golden files regenerated from the real fixtures accordingly. Hardening from the sh-security-review pass on this diff: - _header_date_iso is total: OverflowError/OSError from an extreme Date header fall back to 'nocomment' instead of failing the invocation. - _capture_block trims blanks in O(n) (no pop(0)) — removes a quadratic path on a crafted large blank run. - work_order_id is enforced digits-only on BOTH parse paths before it is used as a DynamoDB key, so prompt-injected AI output cannot forge '#' range-key segments or land on an arbitrary WO.
2026-07-16 12:45:11 -04:00
parsed, "s3://bucket/inbound/obj-c", "inbound/obj-c", "template", DATE_HEADER
)
feat: decompose email-processor handlers into flat siblings + lazy boto3 clients (refactor phase 5) (#113) Both email-processor God-handlers split along the seams that already work in the flat-sibling pattern established by lambdas/shared/, so bare-name imports keep working under the existing bundling glob. PO (5-way split): handler.py keeps only the event loop, fail-closed auth, and email_type routing. extraction.py holds extract_with_claude and _EMAIL_TAG_RE, importing EXTRACTION_PROMPT from prompts.py and parse_raw_email from shared/email_parsing.py rather than recreating a PO-local copy. enrichment.py is a pure code move of enrich_parsed and pad_zip (PO-only; WO has no enrichment stage) with zero behavior change. telemetry.py holds the EMF ParseMethod emit wrappers. persistence.py holds _write_fields/_merge_update/save_*, collapsing the byte-identical save_new_po/save_revision bodies into one _save_merge helper that both now call through, preserving the sticky Cancelled ConditionExpression guard for both callers; save_cancellation stays separate. WO (5 concerns, no enrichment stage): the handler loop keeps validate_ai_fallback and the re.fullmatch(r"[0-9]+", work_order_id) key guard ahead of both save_work_order and save_event, since the guard protects the DynamoDB partition key and the '#'-delimited comment_id range-key segment. _header_date_iso and comment_id determinism stay colocated with persistence.py's save_event for the retry-idempotent event_id key. EXTRACTION_PROMPT (PO) moves to prompts.py with cross-reference headers to derived_fields.py's authoritative trade/site/fiscal rule tables; handler.py re-exports it (from prompts import EXTRACTION_PROMPT) since four tests dereference handler.EXTRACTION_ PROMPT directly. WO's prompt moves the same way. I/O modules (extraction.py's bedrock client, persistence.py's dynamodb resource, handler.py's s3 client) get lazy cached boto3 accessors; pure modules (enrichment.py, prompts.py, telemetry.py) import no boto3. Test monkeypatch surfaces move to the module that now owns the client (e.g. persistence.dynamodb) everywhere tests patch it, and the moto-before-handler-import ordering in _po_parser_support.py is preserved so the moto-backed suites don't hit real AWS. Behavior-preservation pins, verified with tests: PO still emits ParseMethod=ai_fallback before the Bedrock call, with ai_fallback_rejected as the additive second datapoint on rejection. WO still emits after its gate with mutually-exclusive ai_fallback / ai_fallback_rejected. Shadow DerivedFieldAgreement telemetry stays ai_fallback-only. derived_fields.py is untouched (diff against feature/phase-3-shared-extraction is empty). handler(event, context) signatures and the save_* public contract are unchanged on both pipelines; goldens unchanged. PO_EXPECTED_TOP_LEVEL_MODULES and its WO equivalent in tests/test_bundle_consistency.py are updated for the new sibling modules so the AST bundle-consistency test still fails on an unshipped or uncommented-out sibling.
2026-07-20 15:34:53 -04:00
table = fake_dynamo.tables[persistence.COMMENTS_TABLE]
feat: template-first WO parser + Bedrock fallback, PO Bedrock switch (#99) * Add deterministic template parser for WO emails The workorder-email-processor sends every one of ~22.9k emails/month to an LLM, but ~93.6% are the plain-text "AMAZON UPDATE WO DETAILS" comment template and ~6.4% the HTML "AMAZON assign Work Order" template. Parse those two shapes deterministically, offline, so the AI call is reserved for the long tail. The module is pure (no boto3, no network). try_deterministic_parse classifies by subject, extracts the shared contract fields, and returns a result ONLY when it passes a strict fail-closed validation gate: exact contract-key set, subject/id agreement, the literal "Work Order: <id>" double space, per-type required fields, site-code shape, and a label-bleed guard so a value that over-ran into the next field fails. Any miss, drift, or extractor exception yields None so the caller falls back to the AI extractor -- data is never corrupted, only the fallback rate rises. Refs: #23 * Migrate WO processor to Bedrock and fix comment_id collision Switch the AI path from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so parsing no longer needs a provider API key or Secrets Manager secret. The EXTRACTION_PROMPT and JSON contract are kept byte-identical, so the AI-fallback output is unchanged. Try the new deterministic template parser first and only call Bedrock on a miss/invalid result. Fix issue #23: the WorkOrderComments range key was work_order_id#<comment_time>, so two emails on one WO with an identical or absent comment time collided and overwrote each other. Derive a 12-hex suffix from the S3 object key alone -- deterministic, so an async retry of the same object is byte-identical (idempotent) while distinct emails get distinct keys -- and keep wall-clock now() out of the key (literal 'nocomment' segment when comment_time is absent). Also emit one CloudWatch EMF line per record (Seahaven/WorkorderIngest ParseOutcome, dimensioned by ParseMethod/TemplateId) for parse-outcome observability, replace the deprecated datetime.utcnow() with datetime.now(timezone.utc), and drop the anthropic dependency. Refs: #23 * Migrate PO processor to Bedrock Switch the PO email processor's AI extraction from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so it no longer needs a provider API key or Secrets Manager secret. PO parsing stays fully AI -- only the provider changes. The EXTRACTION_PROMPT is kept byte-identical and the Bedrock text output is still decoded with json.loads(..., parse_float=Decimal), which DynamoDB requires (it rejects floats). Replace the deprecated datetime.utcnow() with datetime.now(timezone.utc) and drop the anthropic dependency. * Grant Bedrock IAM, drop Anthropic secrets, add fallback alarm Both stacks moved their processors from the Anthropic API to the Bedrock inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0. Grant each processor role bedrock:InvokeModel + bedrock:InvokeModelWithResponseStream on BOTH the inference-profile ARN AND the per-region foundation-model ARNs for us-east-1/us-east-2/us-west-2 (empty-account) -- the us.* profile routes cross-region, so a profile-only grant AccessDenies at runtime. Remove both anthropic-api-key Secret constructs, their grant_read, and the ANTHROPIC_API_KEY_SECRET_ARN env; add BEDROCK_MODEL_ID. The secrets had RemovalPolicy.RETAIN so they are orphaned, not deleted -- flagged in the README for manual post-deploy deletion and key revocation. Add the workorder-email-processor-template-fallback-rate alarm: a FILL(0) + >=10-sample volume-floor MathExpression over the EMF ParseOutcome metric (15-min periods) that pages when the AI-fallback share exceeds 15% sustained, catching Hexagon template drift. ALARM-only SnsAction to site-alerts, no OK action, NOT_BREACHING, matching the existing stack idiom. * Add offline WO parser test suite Cover the deterministic parser with golden-file tests over 55 real scrubbed .eml fixtures (both comment sub-shapes, username Submitted-By, address present/absent, br+CRLF assign addresses), fail-closed validation-gate rules, adversarial and prompt-injection cases that must route to ai_fallback or parse without corrupting other fields, the issue #23 comment_id idempotency invariants, and the Bedrock-fallback dispatch plus EMF-metric emission with a mocked invoke_model. Extend pytest.ini testpaths to discover the co-located suite, and update tests/conftest.load_handler to put a handler's own directory on sys.path so the WO handler's new `from template_parser import ...` resolves under the existing shared handler tests. Point test_local.py at the new template-first + Bedrock flow. Refs: #23 * Document Bedrock migration and WO parse flow in README Record the provider switch to the Bedrock inference profile (no Anthropic API key or Secrets Manager secret, with the retired secrets flagged for manual deletion), the WO deterministic-template-first + AI-fallback flow, the new ParseOutcome EMF metric and template-fallback-rate alarm, the issue #23 comment_id format change, the +00:00 aware-UTC timestamp shift, and offline test instructions. Refs: #23 * Fix f-string lint and formatting in backfill scripts Drop the f prefix from two f-strings that carry no placeholders (F541) and apply ruff format, so `ruff check` / `ruff format --check` pass in CI. * Emit ParseMethod-only EMF set so fallback alarm can fire The fallback-rate alarm queries the ParseOutcome series keyed on ParseMethod alone, but the emitter published only the joint (ParseMethod, TemplateId) dimension set. CloudWatch materializes exactly the listed dimension sets and does not auto-aggregate, so the alarm's series never received data: it evaluated a constant 0 and could never page on template-drift coverage collapse. Publish both ["ParseMethod"] and ["ParseMethod","TemplateId"] and update the EMF regression test to assert both sets are present. * Commit WO parser .eml fixtures for executable coverage The parser test suite globbed for input .eml fixtures that the repo's `*.eml` ignore rule kept uncommitted, so every parametrized golden and fail-closed test collected zero cases and CI could not exercise the deterministic parser that handles 100% of WO email volume. Add a fixtures-only negation to .gitignore and commit the 55 scrubbed positive samples (50 update-plaintext, 5 assign-html) plus 14 ai-fallback and 3 adversarial fixtures. The ai-fallback set covers each fail-closed reason code (subject_no_match, single_space_work_order, malformed_site_code, label_bleed, creation_time_unparseable, wo_id_mismatch, missing_required_field) and the adversarial set proves the parser is total and confines prompt-injection payloads to comment_text without steering the structured fields. * Fix WO parser advisories A1-A3 (PR #99 follow-ups) A1 — AI-fallback comment_id nondeterminism: parsed comment_time is model output and not stable across Lambda async retries, so on the ai_fallback path the comment_id range-key time segment now derives from the email Date header (deterministic per S3 object) instead of the model's comment_time. The template path is unchanged (its comment_time is a pure function of the raw email). Bedrock invoke pins temperature 0 so retries reproduce the same extraction. Closes the #23 reopening on the AI path. A2 — EMF record now carries the spec-required _aws.Timestamp (epoch ms) so CloudWatch reliably extracts the ParseOutcome datapoint that the fallback-rate alarm depends on. A3 — T1 New Comment capture no longer truncates at the first blank line; multi-paragraph comments are captured through internal blanks and terminate at the next label/separator. 17 golden files regenerated from the real fixtures accordingly. Hardening from the sh-security-review pass on this diff: - _header_date_iso is total: OverflowError/OSError from an extreme Date header fall back to 'nocomment' instead of failing the invocation. - _capture_block trims blanks in O(n) (no pop(0)) — removes a quadratic path on a crafted large blank run. - work_order_id is enforced digits-only on BOTH parse paths before it is used as a DynamoDB key, so prompt-injected AI output cannot forge '#' range-key segments or land on an arbitrary WO.
2026-07-16 12:45:11 -04:00
ids = _comment_ids(table)
assert ids[0] == ids[1] # 'nocomment' segment, not now()
assert "#nocomment#" in ids[0]
assert len(table.store) == 1
def test_event_id_independent_of_now(fake_dynamo, monkeypatch):
"""Freezing / advancing the clock must not change the range key."""
parsed = _parsed(comment_time=None)
class FrozenDT:
offset = 0
@classmethod
def now(cls, tz=None):
import datetime as _dt
return _dt.datetime(2020, 1, 1, tzinfo=tz) + _dt.timedelta(
seconds=cls.offset
)
feat: decompose email-processor handlers into flat siblings + lazy boto3 clients (refactor phase 5) (#113) Both email-processor God-handlers split along the seams that already work in the flat-sibling pattern established by lambdas/shared/, so bare-name imports keep working under the existing bundling glob. PO (5-way split): handler.py keeps only the event loop, fail-closed auth, and email_type routing. extraction.py holds extract_with_claude and _EMAIL_TAG_RE, importing EXTRACTION_PROMPT from prompts.py and parse_raw_email from shared/email_parsing.py rather than recreating a PO-local copy. enrichment.py is a pure code move of enrich_parsed and pad_zip (PO-only; WO has no enrichment stage) with zero behavior change. telemetry.py holds the EMF ParseMethod emit wrappers. persistence.py holds _write_fields/_merge_update/save_*, collapsing the byte-identical save_new_po/save_revision bodies into one _save_merge helper that both now call through, preserving the sticky Cancelled ConditionExpression guard for both callers; save_cancellation stays separate. WO (5 concerns, no enrichment stage): the handler loop keeps validate_ai_fallback and the re.fullmatch(r"[0-9]+", work_order_id) key guard ahead of both save_work_order and save_event, since the guard protects the DynamoDB partition key and the '#'-delimited comment_id range-key segment. _header_date_iso and comment_id determinism stay colocated with persistence.py's save_event for the retry-idempotent event_id key. EXTRACTION_PROMPT (PO) moves to prompts.py with cross-reference headers to derived_fields.py's authoritative trade/site/fiscal rule tables; handler.py re-exports it (from prompts import EXTRACTION_PROMPT) since four tests dereference handler.EXTRACTION_ PROMPT directly. WO's prompt moves the same way. I/O modules (extraction.py's bedrock client, persistence.py's dynamodb resource, handler.py's s3 client) get lazy cached boto3 accessors; pure modules (enrichment.py, prompts.py, telemetry.py) import no boto3. Test monkeypatch surfaces move to the module that now owns the client (e.g. persistence.dynamodb) everywhere tests patch it, and the moto-before-handler-import ordering in _po_parser_support.py is preserved so the moto-backed suites don't hit real AWS. Behavior-preservation pins, verified with tests: PO still emits ParseMethod=ai_fallback before the Bedrock call, with ai_fallback_rejected as the additive second datapoint on rejection. WO still emits after its gate with mutually-exclusive ai_fallback / ai_fallback_rejected. Shadow DerivedFieldAgreement telemetry stays ai_fallback-only. derived_fields.py is untouched (diff against feature/phase-3-shared-extraction is empty). handler(event, context) signatures and the save_* public contract are unchanged on both pipelines; goldens unchanged. PO_EXPECTED_TOP_LEVEL_MODULES and its WO equivalent in tests/test_bundle_consistency.py are updated for the new sibling modules so the AST bundle-consistency test still fails on an unshipped or uncommented-out sibling.
2026-07-20 15:34:53 -04:00
monkeypatch.setattr(persistence, "datetime", FrozenDT)
persistence.save_event(
feat: template-first WO parser + Bedrock fallback, PO Bedrock switch (#99) * Add deterministic template parser for WO emails The workorder-email-processor sends every one of ~22.9k emails/month to an LLM, but ~93.6% are the plain-text "AMAZON UPDATE WO DETAILS" comment template and ~6.4% the HTML "AMAZON assign Work Order" template. Parse those two shapes deterministically, offline, so the AI call is reserved for the long tail. The module is pure (no boto3, no network). try_deterministic_parse classifies by subject, extracts the shared contract fields, and returns a result ONLY when it passes a strict fail-closed validation gate: exact contract-key set, subject/id agreement, the literal "Work Order: <id>" double space, per-type required fields, site-code shape, and a label-bleed guard so a value that over-ran into the next field fails. Any miss, drift, or extractor exception yields None so the caller falls back to the AI extractor -- data is never corrupted, only the fallback rate rises. Refs: #23 * Migrate WO processor to Bedrock and fix comment_id collision Switch the AI path from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so parsing no longer needs a provider API key or Secrets Manager secret. The EXTRACTION_PROMPT and JSON contract are kept byte-identical, so the AI-fallback output is unchanged. Try the new deterministic template parser first and only call Bedrock on a miss/invalid result. Fix issue #23: the WorkOrderComments range key was work_order_id#<comment_time>, so two emails on one WO with an identical or absent comment time collided and overwrote each other. Derive a 12-hex suffix from the S3 object key alone -- deterministic, so an async retry of the same object is byte-identical (idempotent) while distinct emails get distinct keys -- and keep wall-clock now() out of the key (literal 'nocomment' segment when comment_time is absent). Also emit one CloudWatch EMF line per record (Seahaven/WorkorderIngest ParseOutcome, dimensioned by ParseMethod/TemplateId) for parse-outcome observability, replace the deprecated datetime.utcnow() with datetime.now(timezone.utc), and drop the anthropic dependency. Refs: #23 * Migrate PO processor to Bedrock Switch the PO email processor's AI extraction from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so it no longer needs a provider API key or Secrets Manager secret. PO parsing stays fully AI -- only the provider changes. The EXTRACTION_PROMPT is kept byte-identical and the Bedrock text output is still decoded with json.loads(..., parse_float=Decimal), which DynamoDB requires (it rejects floats). Replace the deprecated datetime.utcnow() with datetime.now(timezone.utc) and drop the anthropic dependency. * Grant Bedrock IAM, drop Anthropic secrets, add fallback alarm Both stacks moved their processors from the Anthropic API to the Bedrock inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0. Grant each processor role bedrock:InvokeModel + bedrock:InvokeModelWithResponseStream on BOTH the inference-profile ARN AND the per-region foundation-model ARNs for us-east-1/us-east-2/us-west-2 (empty-account) -- the us.* profile routes cross-region, so a profile-only grant AccessDenies at runtime. Remove both anthropic-api-key Secret constructs, their grant_read, and the ANTHROPIC_API_KEY_SECRET_ARN env; add BEDROCK_MODEL_ID. The secrets had RemovalPolicy.RETAIN so they are orphaned, not deleted -- flagged in the README for manual post-deploy deletion and key revocation. Add the workorder-email-processor-template-fallback-rate alarm: a FILL(0) + >=10-sample volume-floor MathExpression over the EMF ParseOutcome metric (15-min periods) that pages when the AI-fallback share exceeds 15% sustained, catching Hexagon template drift. ALARM-only SnsAction to site-alerts, no OK action, NOT_BREACHING, matching the existing stack idiom. * Add offline WO parser test suite Cover the deterministic parser with golden-file tests over 55 real scrubbed .eml fixtures (both comment sub-shapes, username Submitted-By, address present/absent, br+CRLF assign addresses), fail-closed validation-gate rules, adversarial and prompt-injection cases that must route to ai_fallback or parse without corrupting other fields, the issue #23 comment_id idempotency invariants, and the Bedrock-fallback dispatch plus EMF-metric emission with a mocked invoke_model. Extend pytest.ini testpaths to discover the co-located suite, and update tests/conftest.load_handler to put a handler's own directory on sys.path so the WO handler's new `from template_parser import ...` resolves under the existing shared handler tests. Point test_local.py at the new template-first + Bedrock flow. Refs: #23 * Document Bedrock migration and WO parse flow in README Record the provider switch to the Bedrock inference profile (no Anthropic API key or Secrets Manager secret, with the retired secrets flagged for manual deletion), the WO deterministic-template-first + AI-fallback flow, the new ParseOutcome EMF metric and template-fallback-rate alarm, the issue #23 comment_id format change, the +00:00 aware-UTC timestamp shift, and offline test instructions. Refs: #23 * Fix f-string lint and formatting in backfill scripts Drop the f prefix from two f-strings that carry no placeholders (F541) and apply ruff format, so `ruff check` / `ruff format --check` pass in CI. * Emit ParseMethod-only EMF set so fallback alarm can fire The fallback-rate alarm queries the ParseOutcome series keyed on ParseMethod alone, but the emitter published only the joint (ParseMethod, TemplateId) dimension set. CloudWatch materializes exactly the listed dimension sets and does not auto-aggregate, so the alarm's series never received data: it evaluated a constant 0 and could never page on template-drift coverage collapse. Publish both ["ParseMethod"] and ["ParseMethod","TemplateId"] and update the EMF regression test to assert both sets are present. * Commit WO parser .eml fixtures for executable coverage The parser test suite globbed for input .eml fixtures that the repo's `*.eml` ignore rule kept uncommitted, so every parametrized golden and fail-closed test collected zero cases and CI could not exercise the deterministic parser that handles 100% of WO email volume. Add a fixtures-only negation to .gitignore and commit the 55 scrubbed positive samples (50 update-plaintext, 5 assign-html) plus 14 ai-fallback and 3 adversarial fixtures. The ai-fallback set covers each fail-closed reason code (subject_no_match, single_space_work_order, malformed_site_code, label_bleed, creation_time_unparseable, wo_id_mismatch, missing_required_field) and the adversarial set proves the parser is total and confines prompt-injection payloads to comment_text without steering the structured fields. * Fix WO parser advisories A1-A3 (PR #99 follow-ups) A1 — AI-fallback comment_id nondeterminism: parsed comment_time is model output and not stable across Lambda async retries, so on the ai_fallback path the comment_id range-key time segment now derives from the email Date header (deterministic per S3 object) instead of the model's comment_time. The template path is unchanged (its comment_time is a pure function of the raw email). Bedrock invoke pins temperature 0 so retries reproduce the same extraction. Closes the #23 reopening on the AI path. A2 — EMF record now carries the spec-required _aws.Timestamp (epoch ms) so CloudWatch reliably extracts the ParseOutcome datapoint that the fallback-rate alarm depends on. A3 — T1 New Comment capture no longer truncates at the first blank line; multi-paragraph comments are captured through internal blanks and terminate at the next label/separator. 17 golden files regenerated from the real fixtures accordingly. Hardening from the sh-security-review pass on this diff: - _header_date_iso is total: OverflowError/OSError from an extreme Date header fall back to 'nocomment' instead of failing the invocation. - _capture_block trims blanks in O(n) (no pop(0)) — removes a quadratic path on a crafted large blank run. - work_order_id is enforced digits-only on BOTH parse paths before it is used as a DynamoDB key, so prompt-injected AI output cannot forge '#' range-key segments or land on an arbitrary WO.
2026-07-16 12:45:11 -04:00
parsed, "s3://b/inbound/obj-d", "inbound/obj-d", "template", DATE_HEADER
)
FrozenDT.offset = 999999 # simulate a later retry
feat: decompose email-processor handlers into flat siblings + lazy boto3 clients (refactor phase 5) (#113) Both email-processor God-handlers split along the seams that already work in the flat-sibling pattern established by lambdas/shared/, so bare-name imports keep working under the existing bundling glob. PO (5-way split): handler.py keeps only the event loop, fail-closed auth, and email_type routing. extraction.py holds extract_with_claude and _EMAIL_TAG_RE, importing EXTRACTION_PROMPT from prompts.py and parse_raw_email from shared/email_parsing.py rather than recreating a PO-local copy. enrichment.py is a pure code move of enrich_parsed and pad_zip (PO-only; WO has no enrichment stage) with zero behavior change. telemetry.py holds the EMF ParseMethod emit wrappers. persistence.py holds _write_fields/_merge_update/save_*, collapsing the byte-identical save_new_po/save_revision bodies into one _save_merge helper that both now call through, preserving the sticky Cancelled ConditionExpression guard for both callers; save_cancellation stays separate. WO (5 concerns, no enrichment stage): the handler loop keeps validate_ai_fallback and the re.fullmatch(r"[0-9]+", work_order_id) key guard ahead of both save_work_order and save_event, since the guard protects the DynamoDB partition key and the '#'-delimited comment_id range-key segment. _header_date_iso and comment_id determinism stay colocated with persistence.py's save_event for the retry-idempotent event_id key. EXTRACTION_PROMPT (PO) moves to prompts.py with cross-reference headers to derived_fields.py's authoritative trade/site/fiscal rule tables; handler.py re-exports it (from prompts import EXTRACTION_PROMPT) since four tests dereference handler.EXTRACTION_ PROMPT directly. WO's prompt moves the same way. I/O modules (extraction.py's bedrock client, persistence.py's dynamodb resource, handler.py's s3 client) get lazy cached boto3 accessors; pure modules (enrichment.py, prompts.py, telemetry.py) import no boto3. Test monkeypatch surfaces move to the module that now owns the client (e.g. persistence.dynamodb) everywhere tests patch it, and the moto-before-handler-import ordering in _po_parser_support.py is preserved so the moto-backed suites don't hit real AWS. Behavior-preservation pins, verified with tests: PO still emits ParseMethod=ai_fallback before the Bedrock call, with ai_fallback_rejected as the additive second datapoint on rejection. WO still emits after its gate with mutually-exclusive ai_fallback / ai_fallback_rejected. Shadow DerivedFieldAgreement telemetry stays ai_fallback-only. derived_fields.py is untouched (diff against feature/phase-3-shared-extraction is empty). handler(event, context) signatures and the save_* public contract are unchanged on both pipelines; goldens unchanged. PO_EXPECTED_TOP_LEVEL_MODULES and its WO equivalent in tests/test_bundle_consistency.py are updated for the new sibling modules so the AST bundle-consistency test still fails on an unshipped or uncommented-out sibling.
2026-07-20 15:34:53 -04:00
persistence.save_event(
feat: template-first WO parser + Bedrock fallback, PO Bedrock switch (#99) * Add deterministic template parser for WO emails The workorder-email-processor sends every one of ~22.9k emails/month to an LLM, but ~93.6% are the plain-text "AMAZON UPDATE WO DETAILS" comment template and ~6.4% the HTML "AMAZON assign Work Order" template. Parse those two shapes deterministically, offline, so the AI call is reserved for the long tail. The module is pure (no boto3, no network). try_deterministic_parse classifies by subject, extracts the shared contract fields, and returns a result ONLY when it passes a strict fail-closed validation gate: exact contract-key set, subject/id agreement, the literal "Work Order: <id>" double space, per-type required fields, site-code shape, and a label-bleed guard so a value that over-ran into the next field fails. Any miss, drift, or extractor exception yields None so the caller falls back to the AI extractor -- data is never corrupted, only the fallback rate rises. Refs: #23 * Migrate WO processor to Bedrock and fix comment_id collision Switch the AI path from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so parsing no longer needs a provider API key or Secrets Manager secret. The EXTRACTION_PROMPT and JSON contract are kept byte-identical, so the AI-fallback output is unchanged. Try the new deterministic template parser first and only call Bedrock on a miss/invalid result. Fix issue #23: the WorkOrderComments range key was work_order_id#<comment_time>, so two emails on one WO with an identical or absent comment time collided and overwrote each other. Derive a 12-hex suffix from the S3 object key alone -- deterministic, so an async retry of the same object is byte-identical (idempotent) while distinct emails get distinct keys -- and keep wall-clock now() out of the key (literal 'nocomment' segment when comment_time is absent). Also emit one CloudWatch EMF line per record (Seahaven/WorkorderIngest ParseOutcome, dimensioned by ParseMethod/TemplateId) for parse-outcome observability, replace the deprecated datetime.utcnow() with datetime.now(timezone.utc), and drop the anthropic dependency. Refs: #23 * Migrate PO processor to Bedrock Switch the PO email processor's AI extraction from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so it no longer needs a provider API key or Secrets Manager secret. PO parsing stays fully AI -- only the provider changes. The EXTRACTION_PROMPT is kept byte-identical and the Bedrock text output is still decoded with json.loads(..., parse_float=Decimal), which DynamoDB requires (it rejects floats). Replace the deprecated datetime.utcnow() with datetime.now(timezone.utc) and drop the anthropic dependency. * Grant Bedrock IAM, drop Anthropic secrets, add fallback alarm Both stacks moved their processors from the Anthropic API to the Bedrock inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0. Grant each processor role bedrock:InvokeModel + bedrock:InvokeModelWithResponseStream on BOTH the inference-profile ARN AND the per-region foundation-model ARNs for us-east-1/us-east-2/us-west-2 (empty-account) -- the us.* profile routes cross-region, so a profile-only grant AccessDenies at runtime. Remove both anthropic-api-key Secret constructs, their grant_read, and the ANTHROPIC_API_KEY_SECRET_ARN env; add BEDROCK_MODEL_ID. The secrets had RemovalPolicy.RETAIN so they are orphaned, not deleted -- flagged in the README for manual post-deploy deletion and key revocation. Add the workorder-email-processor-template-fallback-rate alarm: a FILL(0) + >=10-sample volume-floor MathExpression over the EMF ParseOutcome metric (15-min periods) that pages when the AI-fallback share exceeds 15% sustained, catching Hexagon template drift. ALARM-only SnsAction to site-alerts, no OK action, NOT_BREACHING, matching the existing stack idiom. * Add offline WO parser test suite Cover the deterministic parser with golden-file tests over 55 real scrubbed .eml fixtures (both comment sub-shapes, username Submitted-By, address present/absent, br+CRLF assign addresses), fail-closed validation-gate rules, adversarial and prompt-injection cases that must route to ai_fallback or parse without corrupting other fields, the issue #23 comment_id idempotency invariants, and the Bedrock-fallback dispatch plus EMF-metric emission with a mocked invoke_model. Extend pytest.ini testpaths to discover the co-located suite, and update tests/conftest.load_handler to put a handler's own directory on sys.path so the WO handler's new `from template_parser import ...` resolves under the existing shared handler tests. Point test_local.py at the new template-first + Bedrock flow. Refs: #23 * Document Bedrock migration and WO parse flow in README Record the provider switch to the Bedrock inference profile (no Anthropic API key or Secrets Manager secret, with the retired secrets flagged for manual deletion), the WO deterministic-template-first + AI-fallback flow, the new ParseOutcome EMF metric and template-fallback-rate alarm, the issue #23 comment_id format change, the +00:00 aware-UTC timestamp shift, and offline test instructions. Refs: #23 * Fix f-string lint and formatting in backfill scripts Drop the f prefix from two f-strings that carry no placeholders (F541) and apply ruff format, so `ruff check` / `ruff format --check` pass in CI. * Emit ParseMethod-only EMF set so fallback alarm can fire The fallback-rate alarm queries the ParseOutcome series keyed on ParseMethod alone, but the emitter published only the joint (ParseMethod, TemplateId) dimension set. CloudWatch materializes exactly the listed dimension sets and does not auto-aggregate, so the alarm's series never received data: it evaluated a constant 0 and could never page on template-drift coverage collapse. Publish both ["ParseMethod"] and ["ParseMethod","TemplateId"] and update the EMF regression test to assert both sets are present. * Commit WO parser .eml fixtures for executable coverage The parser test suite globbed for input .eml fixtures that the repo's `*.eml` ignore rule kept uncommitted, so every parametrized golden and fail-closed test collected zero cases and CI could not exercise the deterministic parser that handles 100% of WO email volume. Add a fixtures-only negation to .gitignore and commit the 55 scrubbed positive samples (50 update-plaintext, 5 assign-html) plus 14 ai-fallback and 3 adversarial fixtures. The ai-fallback set covers each fail-closed reason code (subject_no_match, single_space_work_order, malformed_site_code, label_bleed, creation_time_unparseable, wo_id_mismatch, missing_required_field) and the adversarial set proves the parser is total and confines prompt-injection payloads to comment_text without steering the structured fields. * Fix WO parser advisories A1-A3 (PR #99 follow-ups) A1 — AI-fallback comment_id nondeterminism: parsed comment_time is model output and not stable across Lambda async retries, so on the ai_fallback path the comment_id range-key time segment now derives from the email Date header (deterministic per S3 object) instead of the model's comment_time. The template path is unchanged (its comment_time is a pure function of the raw email). Bedrock invoke pins temperature 0 so retries reproduce the same extraction. Closes the #23 reopening on the AI path. A2 — EMF record now carries the spec-required _aws.Timestamp (epoch ms) so CloudWatch reliably extracts the ParseOutcome datapoint that the fallback-rate alarm depends on. A3 — T1 New Comment capture no longer truncates at the first blank line; multi-paragraph comments are captured through internal blanks and terminate at the next label/separator. 17 golden files regenerated from the real fixtures accordingly. Hardening from the sh-security-review pass on this diff: - _header_date_iso is total: OverflowError/OSError from an extreme Date header fall back to 'nocomment' instead of failing the invocation. - _capture_block trims blanks in O(n) (no pop(0)) — removes a quadratic path on a crafted large blank run. - work_order_id is enforced digits-only on BOTH parse paths before it is used as a DynamoDB key, so prompt-injected AI output cannot forge '#' range-key segments or land on an arbitrary WO.
2026-07-16 12:45:11 -04:00
parsed, "s3://b/inbound/obj-d", "inbound/obj-d", "template", DATE_HEADER
)
feat: decompose email-processor handlers into flat siblings + lazy boto3 clients (refactor phase 5) (#113) Both email-processor God-handlers split along the seams that already work in the flat-sibling pattern established by lambdas/shared/, so bare-name imports keep working under the existing bundling glob. PO (5-way split): handler.py keeps only the event loop, fail-closed auth, and email_type routing. extraction.py holds extract_with_claude and _EMAIL_TAG_RE, importing EXTRACTION_PROMPT from prompts.py and parse_raw_email from shared/email_parsing.py rather than recreating a PO-local copy. enrichment.py is a pure code move of enrich_parsed and pad_zip (PO-only; WO has no enrichment stage) with zero behavior change. telemetry.py holds the EMF ParseMethod emit wrappers. persistence.py holds _write_fields/_merge_update/save_*, collapsing the byte-identical save_new_po/save_revision bodies into one _save_merge helper that both now call through, preserving the sticky Cancelled ConditionExpression guard for both callers; save_cancellation stays separate. WO (5 concerns, no enrichment stage): the handler loop keeps validate_ai_fallback and the re.fullmatch(r"[0-9]+", work_order_id) key guard ahead of both save_work_order and save_event, since the guard protects the DynamoDB partition key and the '#'-delimited comment_id range-key segment. _header_date_iso and comment_id determinism stay colocated with persistence.py's save_event for the retry-idempotent event_id key. EXTRACTION_PROMPT (PO) moves to prompts.py with cross-reference headers to derived_fields.py's authoritative trade/site/fiscal rule tables; handler.py re-exports it (from prompts import EXTRACTION_PROMPT) since four tests dereference handler.EXTRACTION_ PROMPT directly. WO's prompt moves the same way. I/O modules (extraction.py's bedrock client, persistence.py's dynamodb resource, handler.py's s3 client) get lazy cached boto3 accessors; pure modules (enrichment.py, prompts.py, telemetry.py) import no boto3. Test monkeypatch surfaces move to the module that now owns the client (e.g. persistence.dynamodb) everywhere tests patch it, and the moto-before-handler-import ordering in _po_parser_support.py is preserved so the moto-backed suites don't hit real AWS. Behavior-preservation pins, verified with tests: PO still emits ParseMethod=ai_fallback before the Bedrock call, with ai_fallback_rejected as the additive second datapoint on rejection. WO still emits after its gate with mutually-exclusive ai_fallback / ai_fallback_rejected. Shadow DerivedFieldAgreement telemetry stays ai_fallback-only. derived_fields.py is untouched (diff against feature/phase-3-shared-extraction is empty). handler(event, context) signatures and the save_* public contract are unchanged on both pipelines; goldens unchanged. PO_EXPECTED_TOP_LEVEL_MODULES and its WO equivalent in tests/test_bundle_consistency.py are updated for the new sibling modules so the AST bundle-consistency test still fails on an unshipped or uncommented-out sibling.
2026-07-20 15:34:53 -04:00
table = fake_dynamo.tables[persistence.COMMENTS_TABLE]
feat: template-first WO parser + Bedrock fallback, PO Bedrock switch (#99) * Add deterministic template parser for WO emails The workorder-email-processor sends every one of ~22.9k emails/month to an LLM, but ~93.6% are the plain-text "AMAZON UPDATE WO DETAILS" comment template and ~6.4% the HTML "AMAZON assign Work Order" template. Parse those two shapes deterministically, offline, so the AI call is reserved for the long tail. The module is pure (no boto3, no network). try_deterministic_parse classifies by subject, extracts the shared contract fields, and returns a result ONLY when it passes a strict fail-closed validation gate: exact contract-key set, subject/id agreement, the literal "Work Order: <id>" double space, per-type required fields, site-code shape, and a label-bleed guard so a value that over-ran into the next field fails. Any miss, drift, or extractor exception yields None so the caller falls back to the AI extractor -- data is never corrupted, only the fallback rate rises. Refs: #23 * Migrate WO processor to Bedrock and fix comment_id collision Switch the AI path from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so parsing no longer needs a provider API key or Secrets Manager secret. The EXTRACTION_PROMPT and JSON contract are kept byte-identical, so the AI-fallback output is unchanged. Try the new deterministic template parser first and only call Bedrock on a miss/invalid result. Fix issue #23: the WorkOrderComments range key was work_order_id#<comment_time>, so two emails on one WO with an identical or absent comment time collided and overwrote each other. Derive a 12-hex suffix from the S3 object key alone -- deterministic, so an async retry of the same object is byte-identical (idempotent) while distinct emails get distinct keys -- and keep wall-clock now() out of the key (literal 'nocomment' segment when comment_time is absent). Also emit one CloudWatch EMF line per record (Seahaven/WorkorderIngest ParseOutcome, dimensioned by ParseMethod/TemplateId) for parse-outcome observability, replace the deprecated datetime.utcnow() with datetime.now(timezone.utc), and drop the anthropic dependency. Refs: #23 * Migrate PO processor to Bedrock Switch the PO email processor's AI extraction from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so it no longer needs a provider API key or Secrets Manager secret. PO parsing stays fully AI -- only the provider changes. The EXTRACTION_PROMPT is kept byte-identical and the Bedrock text output is still decoded with json.loads(..., parse_float=Decimal), which DynamoDB requires (it rejects floats). Replace the deprecated datetime.utcnow() with datetime.now(timezone.utc) and drop the anthropic dependency. * Grant Bedrock IAM, drop Anthropic secrets, add fallback alarm Both stacks moved their processors from the Anthropic API to the Bedrock inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0. Grant each processor role bedrock:InvokeModel + bedrock:InvokeModelWithResponseStream on BOTH the inference-profile ARN AND the per-region foundation-model ARNs for us-east-1/us-east-2/us-west-2 (empty-account) -- the us.* profile routes cross-region, so a profile-only grant AccessDenies at runtime. Remove both anthropic-api-key Secret constructs, their grant_read, and the ANTHROPIC_API_KEY_SECRET_ARN env; add BEDROCK_MODEL_ID. The secrets had RemovalPolicy.RETAIN so they are orphaned, not deleted -- flagged in the README for manual post-deploy deletion and key revocation. Add the workorder-email-processor-template-fallback-rate alarm: a FILL(0) + >=10-sample volume-floor MathExpression over the EMF ParseOutcome metric (15-min periods) that pages when the AI-fallback share exceeds 15% sustained, catching Hexagon template drift. ALARM-only SnsAction to site-alerts, no OK action, NOT_BREACHING, matching the existing stack idiom. * Add offline WO parser test suite Cover the deterministic parser with golden-file tests over 55 real scrubbed .eml fixtures (both comment sub-shapes, username Submitted-By, address present/absent, br+CRLF assign addresses), fail-closed validation-gate rules, adversarial and prompt-injection cases that must route to ai_fallback or parse without corrupting other fields, the issue #23 comment_id idempotency invariants, and the Bedrock-fallback dispatch plus EMF-metric emission with a mocked invoke_model. Extend pytest.ini testpaths to discover the co-located suite, and update tests/conftest.load_handler to put a handler's own directory on sys.path so the WO handler's new `from template_parser import ...` resolves under the existing shared handler tests. Point test_local.py at the new template-first + Bedrock flow. Refs: #23 * Document Bedrock migration and WO parse flow in README Record the provider switch to the Bedrock inference profile (no Anthropic API key or Secrets Manager secret, with the retired secrets flagged for manual deletion), the WO deterministic-template-first + AI-fallback flow, the new ParseOutcome EMF metric and template-fallback-rate alarm, the issue #23 comment_id format change, the +00:00 aware-UTC timestamp shift, and offline test instructions. Refs: #23 * Fix f-string lint and formatting in backfill scripts Drop the f prefix from two f-strings that carry no placeholders (F541) and apply ruff format, so `ruff check` / `ruff format --check` pass in CI. * Emit ParseMethod-only EMF set so fallback alarm can fire The fallback-rate alarm queries the ParseOutcome series keyed on ParseMethod alone, but the emitter published only the joint (ParseMethod, TemplateId) dimension set. CloudWatch materializes exactly the listed dimension sets and does not auto-aggregate, so the alarm's series never received data: it evaluated a constant 0 and could never page on template-drift coverage collapse. Publish both ["ParseMethod"] and ["ParseMethod","TemplateId"] and update the EMF regression test to assert both sets are present. * Commit WO parser .eml fixtures for executable coverage The parser test suite globbed for input .eml fixtures that the repo's `*.eml` ignore rule kept uncommitted, so every parametrized golden and fail-closed test collected zero cases and CI could not exercise the deterministic parser that handles 100% of WO email volume. Add a fixtures-only negation to .gitignore and commit the 55 scrubbed positive samples (50 update-plaintext, 5 assign-html) plus 14 ai-fallback and 3 adversarial fixtures. The ai-fallback set covers each fail-closed reason code (subject_no_match, single_space_work_order, malformed_site_code, label_bleed, creation_time_unparseable, wo_id_mismatch, missing_required_field) and the adversarial set proves the parser is total and confines prompt-injection payloads to comment_text without steering the structured fields. * Fix WO parser advisories A1-A3 (PR #99 follow-ups) A1 — AI-fallback comment_id nondeterminism: parsed comment_time is model output and not stable across Lambda async retries, so on the ai_fallback path the comment_id range-key time segment now derives from the email Date header (deterministic per S3 object) instead of the model's comment_time. The template path is unchanged (its comment_time is a pure function of the raw email). Bedrock invoke pins temperature 0 so retries reproduce the same extraction. Closes the #23 reopening on the AI path. A2 — EMF record now carries the spec-required _aws.Timestamp (epoch ms) so CloudWatch reliably extracts the ParseOutcome datapoint that the fallback-rate alarm depends on. A3 — T1 New Comment capture no longer truncates at the first blank line; multi-paragraph comments are captured through internal blanks and terminate at the next label/separator. 17 golden files regenerated from the real fixtures accordingly. Hardening from the sh-security-review pass on this diff: - _header_date_iso is total: OverflowError/OSError from an extreme Date header fall back to 'nocomment' instead of failing the invocation. - _capture_block trims blanks in O(n) (no pop(0)) — removes a quadratic path on a crafted large blank run. - work_order_id is enforced digits-only on BOTH parse paths before it is used as a DynamoDB key, so prompt-injected AI output cannot forge '#' range-key segments or land on an arbitrary WO.
2026-07-16 12:45:11 -04:00
ids = _comment_ids(table)
assert ids[0] == ids[1]
# created_at (display) may differ, but the KEY must not.
assert len(table.store) == 1
def test_comment_id_format_shape(fake_dynamo):
parsed = _parsed()
feat: decompose email-processor handlers into flat siblings + lazy boto3 clients (refactor phase 5) (#113) Both email-processor God-handlers split along the seams that already work in the flat-sibling pattern established by lambdas/shared/, so bare-name imports keep working under the existing bundling glob. PO (5-way split): handler.py keeps only the event loop, fail-closed auth, and email_type routing. extraction.py holds extract_with_claude and _EMAIL_TAG_RE, importing EXTRACTION_PROMPT from prompts.py and parse_raw_email from shared/email_parsing.py rather than recreating a PO-local copy. enrichment.py is a pure code move of enrich_parsed and pad_zip (PO-only; WO has no enrichment stage) with zero behavior change. telemetry.py holds the EMF ParseMethod emit wrappers. persistence.py holds _write_fields/_merge_update/save_*, collapsing the byte-identical save_new_po/save_revision bodies into one _save_merge helper that both now call through, preserving the sticky Cancelled ConditionExpression guard for both callers; save_cancellation stays separate. WO (5 concerns, no enrichment stage): the handler loop keeps validate_ai_fallback and the re.fullmatch(r"[0-9]+", work_order_id) key guard ahead of both save_work_order and save_event, since the guard protects the DynamoDB partition key and the '#'-delimited comment_id range-key segment. _header_date_iso and comment_id determinism stay colocated with persistence.py's save_event for the retry-idempotent event_id key. EXTRACTION_PROMPT (PO) moves to prompts.py with cross-reference headers to derived_fields.py's authoritative trade/site/fiscal rule tables; handler.py re-exports it (from prompts import EXTRACTION_PROMPT) since four tests dereference handler.EXTRACTION_ PROMPT directly. WO's prompt moves the same way. I/O modules (extraction.py's bedrock client, persistence.py's dynamodb resource, handler.py's s3 client) get lazy cached boto3 accessors; pure modules (enrichment.py, prompts.py, telemetry.py) import no boto3. Test monkeypatch surfaces move to the module that now owns the client (e.g. persistence.dynamodb) everywhere tests patch it, and the moto-before-handler-import ordering in _po_parser_support.py is preserved so the moto-backed suites don't hit real AWS. Behavior-preservation pins, verified with tests: PO still emits ParseMethod=ai_fallback before the Bedrock call, with ai_fallback_rejected as the additive second datapoint on rejection. WO still emits after its gate with mutually-exclusive ai_fallback / ai_fallback_rejected. Shadow DerivedFieldAgreement telemetry stays ai_fallback-only. derived_fields.py is untouched (diff against feature/phase-3-shared-extraction is empty). handler(event, context) signatures and the save_* public contract are unchanged on both pipelines; goldens unchanged. PO_EXPECTED_TOP_LEVEL_MODULES and its WO equivalent in tests/test_bundle_consistency.py are updated for the new sibling modules so the AST bundle-consistency test still fails on an unshipped or uncommented-out sibling.
2026-07-20 15:34:53 -04:00
persistence.save_event(
feat: template-first WO parser + Bedrock fallback, PO Bedrock switch (#99) * Add deterministic template parser for WO emails The workorder-email-processor sends every one of ~22.9k emails/month to an LLM, but ~93.6% are the plain-text "AMAZON UPDATE WO DETAILS" comment template and ~6.4% the HTML "AMAZON assign Work Order" template. Parse those two shapes deterministically, offline, so the AI call is reserved for the long tail. The module is pure (no boto3, no network). try_deterministic_parse classifies by subject, extracts the shared contract fields, and returns a result ONLY when it passes a strict fail-closed validation gate: exact contract-key set, subject/id agreement, the literal "Work Order: <id>" double space, per-type required fields, site-code shape, and a label-bleed guard so a value that over-ran into the next field fails. Any miss, drift, or extractor exception yields None so the caller falls back to the AI extractor -- data is never corrupted, only the fallback rate rises. Refs: #23 * Migrate WO processor to Bedrock and fix comment_id collision Switch the AI path from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so parsing no longer needs a provider API key or Secrets Manager secret. The EXTRACTION_PROMPT and JSON contract are kept byte-identical, so the AI-fallback output is unchanged. Try the new deterministic template parser first and only call Bedrock on a miss/invalid result. Fix issue #23: the WorkOrderComments range key was work_order_id#<comment_time>, so two emails on one WO with an identical or absent comment time collided and overwrote each other. Derive a 12-hex suffix from the S3 object key alone -- deterministic, so an async retry of the same object is byte-identical (idempotent) while distinct emails get distinct keys -- and keep wall-clock now() out of the key (literal 'nocomment' segment when comment_time is absent). Also emit one CloudWatch EMF line per record (Seahaven/WorkorderIngest ParseOutcome, dimensioned by ParseMethod/TemplateId) for parse-outcome observability, replace the deprecated datetime.utcnow() with datetime.now(timezone.utc), and drop the anthropic dependency. Refs: #23 * Migrate PO processor to Bedrock Switch the PO email processor's AI extraction from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so it no longer needs a provider API key or Secrets Manager secret. PO parsing stays fully AI -- only the provider changes. The EXTRACTION_PROMPT is kept byte-identical and the Bedrock text output is still decoded with json.loads(..., parse_float=Decimal), which DynamoDB requires (it rejects floats). Replace the deprecated datetime.utcnow() with datetime.now(timezone.utc) and drop the anthropic dependency. * Grant Bedrock IAM, drop Anthropic secrets, add fallback alarm Both stacks moved their processors from the Anthropic API to the Bedrock inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0. Grant each processor role bedrock:InvokeModel + bedrock:InvokeModelWithResponseStream on BOTH the inference-profile ARN AND the per-region foundation-model ARNs for us-east-1/us-east-2/us-west-2 (empty-account) -- the us.* profile routes cross-region, so a profile-only grant AccessDenies at runtime. Remove both anthropic-api-key Secret constructs, their grant_read, and the ANTHROPIC_API_KEY_SECRET_ARN env; add BEDROCK_MODEL_ID. The secrets had RemovalPolicy.RETAIN so they are orphaned, not deleted -- flagged in the README for manual post-deploy deletion and key revocation. Add the workorder-email-processor-template-fallback-rate alarm: a FILL(0) + >=10-sample volume-floor MathExpression over the EMF ParseOutcome metric (15-min periods) that pages when the AI-fallback share exceeds 15% sustained, catching Hexagon template drift. ALARM-only SnsAction to site-alerts, no OK action, NOT_BREACHING, matching the existing stack idiom. * Add offline WO parser test suite Cover the deterministic parser with golden-file tests over 55 real scrubbed .eml fixtures (both comment sub-shapes, username Submitted-By, address present/absent, br+CRLF assign addresses), fail-closed validation-gate rules, adversarial and prompt-injection cases that must route to ai_fallback or parse without corrupting other fields, the issue #23 comment_id idempotency invariants, and the Bedrock-fallback dispatch plus EMF-metric emission with a mocked invoke_model. Extend pytest.ini testpaths to discover the co-located suite, and update tests/conftest.load_handler to put a handler's own directory on sys.path so the WO handler's new `from template_parser import ...` resolves under the existing shared handler tests. Point test_local.py at the new template-first + Bedrock flow. Refs: #23 * Document Bedrock migration and WO parse flow in README Record the provider switch to the Bedrock inference profile (no Anthropic API key or Secrets Manager secret, with the retired secrets flagged for manual deletion), the WO deterministic-template-first + AI-fallback flow, the new ParseOutcome EMF metric and template-fallback-rate alarm, the issue #23 comment_id format change, the +00:00 aware-UTC timestamp shift, and offline test instructions. Refs: #23 * Fix f-string lint and formatting in backfill scripts Drop the f prefix from two f-strings that carry no placeholders (F541) and apply ruff format, so `ruff check` / `ruff format --check` pass in CI. * Emit ParseMethod-only EMF set so fallback alarm can fire The fallback-rate alarm queries the ParseOutcome series keyed on ParseMethod alone, but the emitter published only the joint (ParseMethod, TemplateId) dimension set. CloudWatch materializes exactly the listed dimension sets and does not auto-aggregate, so the alarm's series never received data: it evaluated a constant 0 and could never page on template-drift coverage collapse. Publish both ["ParseMethod"] and ["ParseMethod","TemplateId"] and update the EMF regression test to assert both sets are present. * Commit WO parser .eml fixtures for executable coverage The parser test suite globbed for input .eml fixtures that the repo's `*.eml` ignore rule kept uncommitted, so every parametrized golden and fail-closed test collected zero cases and CI could not exercise the deterministic parser that handles 100% of WO email volume. Add a fixtures-only negation to .gitignore and commit the 55 scrubbed positive samples (50 update-plaintext, 5 assign-html) plus 14 ai-fallback and 3 adversarial fixtures. The ai-fallback set covers each fail-closed reason code (subject_no_match, single_space_work_order, malformed_site_code, label_bleed, creation_time_unparseable, wo_id_mismatch, missing_required_field) and the adversarial set proves the parser is total and confines prompt-injection payloads to comment_text without steering the structured fields. * Fix WO parser advisories A1-A3 (PR #99 follow-ups) A1 — AI-fallback comment_id nondeterminism: parsed comment_time is model output and not stable across Lambda async retries, so on the ai_fallback path the comment_id range-key time segment now derives from the email Date header (deterministic per S3 object) instead of the model's comment_time. The template path is unchanged (its comment_time is a pure function of the raw email). Bedrock invoke pins temperature 0 so retries reproduce the same extraction. Closes the #23 reopening on the AI path. A2 — EMF record now carries the spec-required _aws.Timestamp (epoch ms) so CloudWatch reliably extracts the ParseOutcome datapoint that the fallback-rate alarm depends on. A3 — T1 New Comment capture no longer truncates at the first blank line; multi-paragraph comments are captured through internal blanks and terminate at the next label/separator. 17 golden files regenerated from the real fixtures accordingly. Hardening from the sh-security-review pass on this diff: - _header_date_iso is total: OverflowError/OSError from an extreme Date header fall back to 'nocomment' instead of failing the invocation. - _capture_block trims blanks in O(n) (no pop(0)) — removes a quadratic path on a crafted large blank run. - work_order_id is enforced digits-only on BOTH parse paths before it is used as a DynamoDB key, so prompt-injected AI output cannot forge '#' range-key segments or land on an arbitrary WO.
2026-07-16 12:45:11 -04:00
parsed, "s3://bucket/inbound/obj-e", "inbound/obj-e", "template", DATE_HEADER
)
feat: decompose email-processor handlers into flat siblings + lazy boto3 clients (refactor phase 5) (#113) Both email-processor God-handlers split along the seams that already work in the flat-sibling pattern established by lambdas/shared/, so bare-name imports keep working under the existing bundling glob. PO (5-way split): handler.py keeps only the event loop, fail-closed auth, and email_type routing. extraction.py holds extract_with_claude and _EMAIL_TAG_RE, importing EXTRACTION_PROMPT from prompts.py and parse_raw_email from shared/email_parsing.py rather than recreating a PO-local copy. enrichment.py is a pure code move of enrich_parsed and pad_zip (PO-only; WO has no enrichment stage) with zero behavior change. telemetry.py holds the EMF ParseMethod emit wrappers. persistence.py holds _write_fields/_merge_update/save_*, collapsing the byte-identical save_new_po/save_revision bodies into one _save_merge helper that both now call through, preserving the sticky Cancelled ConditionExpression guard for both callers; save_cancellation stays separate. WO (5 concerns, no enrichment stage): the handler loop keeps validate_ai_fallback and the re.fullmatch(r"[0-9]+", work_order_id) key guard ahead of both save_work_order and save_event, since the guard protects the DynamoDB partition key and the '#'-delimited comment_id range-key segment. _header_date_iso and comment_id determinism stay colocated with persistence.py's save_event for the retry-idempotent event_id key. EXTRACTION_PROMPT (PO) moves to prompts.py with cross-reference headers to derived_fields.py's authoritative trade/site/fiscal rule tables; handler.py re-exports it (from prompts import EXTRACTION_PROMPT) since four tests dereference handler.EXTRACTION_ PROMPT directly. WO's prompt moves the same way. I/O modules (extraction.py's bedrock client, persistence.py's dynamodb resource, handler.py's s3 client) get lazy cached boto3 accessors; pure modules (enrichment.py, prompts.py, telemetry.py) import no boto3. Test monkeypatch surfaces move to the module that now owns the client (e.g. persistence.dynamodb) everywhere tests patch it, and the moto-before-handler-import ordering in _po_parser_support.py is preserved so the moto-backed suites don't hit real AWS. Behavior-preservation pins, verified with tests: PO still emits ParseMethod=ai_fallback before the Bedrock call, with ai_fallback_rejected as the additive second datapoint on rejection. WO still emits after its gate with mutually-exclusive ai_fallback / ai_fallback_rejected. Shadow DerivedFieldAgreement telemetry stays ai_fallback-only. derived_fields.py is untouched (diff against feature/phase-3-shared-extraction is empty). handler(event, context) signatures and the save_* public contract are unchanged on both pipelines; goldens unchanged. PO_EXPECTED_TOP_LEVEL_MODULES and its WO equivalent in tests/test_bundle_consistency.py are updated for the new sibling modules so the AST bundle-consistency test still fails on an unshipped or uncommented-out sibling.
2026-07-20 15:34:53 -04:00
table = fake_dynamo.tables[persistence.COMMENTS_TABLE]
feat: template-first WO parser + Bedrock fallback, PO Bedrock switch (#99) * Add deterministic template parser for WO emails The workorder-email-processor sends every one of ~22.9k emails/month to an LLM, but ~93.6% are the plain-text "AMAZON UPDATE WO DETAILS" comment template and ~6.4% the HTML "AMAZON assign Work Order" template. Parse those two shapes deterministically, offline, so the AI call is reserved for the long tail. The module is pure (no boto3, no network). try_deterministic_parse classifies by subject, extracts the shared contract fields, and returns a result ONLY when it passes a strict fail-closed validation gate: exact contract-key set, subject/id agreement, the literal "Work Order: <id>" double space, per-type required fields, site-code shape, and a label-bleed guard so a value that over-ran into the next field fails. Any miss, drift, or extractor exception yields None so the caller falls back to the AI extractor -- data is never corrupted, only the fallback rate rises. Refs: #23 * Migrate WO processor to Bedrock and fix comment_id collision Switch the AI path from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so parsing no longer needs a provider API key or Secrets Manager secret. The EXTRACTION_PROMPT and JSON contract are kept byte-identical, so the AI-fallback output is unchanged. Try the new deterministic template parser first and only call Bedrock on a miss/invalid result. Fix issue #23: the WorkOrderComments range key was work_order_id#<comment_time>, so two emails on one WO with an identical or absent comment time collided and overwrote each other. Derive a 12-hex suffix from the S3 object key alone -- deterministic, so an async retry of the same object is byte-identical (idempotent) while distinct emails get distinct keys -- and keep wall-clock now() out of the key (literal 'nocomment' segment when comment_time is absent). Also emit one CloudWatch EMF line per record (Seahaven/WorkorderIngest ParseOutcome, dimensioned by ParseMethod/TemplateId) for parse-outcome observability, replace the deprecated datetime.utcnow() with datetime.now(timezone.utc), and drop the anthropic dependency. Refs: #23 * Migrate PO processor to Bedrock Switch the PO email processor's AI extraction from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so it no longer needs a provider API key or Secrets Manager secret. PO parsing stays fully AI -- only the provider changes. The EXTRACTION_PROMPT is kept byte-identical and the Bedrock text output is still decoded with json.loads(..., parse_float=Decimal), which DynamoDB requires (it rejects floats). Replace the deprecated datetime.utcnow() with datetime.now(timezone.utc) and drop the anthropic dependency. * Grant Bedrock IAM, drop Anthropic secrets, add fallback alarm Both stacks moved their processors from the Anthropic API to the Bedrock inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0. Grant each processor role bedrock:InvokeModel + bedrock:InvokeModelWithResponseStream on BOTH the inference-profile ARN AND the per-region foundation-model ARNs for us-east-1/us-east-2/us-west-2 (empty-account) -- the us.* profile routes cross-region, so a profile-only grant AccessDenies at runtime. Remove both anthropic-api-key Secret constructs, their grant_read, and the ANTHROPIC_API_KEY_SECRET_ARN env; add BEDROCK_MODEL_ID. The secrets had RemovalPolicy.RETAIN so they are orphaned, not deleted -- flagged in the README for manual post-deploy deletion and key revocation. Add the workorder-email-processor-template-fallback-rate alarm: a FILL(0) + >=10-sample volume-floor MathExpression over the EMF ParseOutcome metric (15-min periods) that pages when the AI-fallback share exceeds 15% sustained, catching Hexagon template drift. ALARM-only SnsAction to site-alerts, no OK action, NOT_BREACHING, matching the existing stack idiom. * Add offline WO parser test suite Cover the deterministic parser with golden-file tests over 55 real scrubbed .eml fixtures (both comment sub-shapes, username Submitted-By, address present/absent, br+CRLF assign addresses), fail-closed validation-gate rules, adversarial and prompt-injection cases that must route to ai_fallback or parse without corrupting other fields, the issue #23 comment_id idempotency invariants, and the Bedrock-fallback dispatch plus EMF-metric emission with a mocked invoke_model. Extend pytest.ini testpaths to discover the co-located suite, and update tests/conftest.load_handler to put a handler's own directory on sys.path so the WO handler's new `from template_parser import ...` resolves under the existing shared handler tests. Point test_local.py at the new template-first + Bedrock flow. Refs: #23 * Document Bedrock migration and WO parse flow in README Record the provider switch to the Bedrock inference profile (no Anthropic API key or Secrets Manager secret, with the retired secrets flagged for manual deletion), the WO deterministic-template-first + AI-fallback flow, the new ParseOutcome EMF metric and template-fallback-rate alarm, the issue #23 comment_id format change, the +00:00 aware-UTC timestamp shift, and offline test instructions. Refs: #23 * Fix f-string lint and formatting in backfill scripts Drop the f prefix from two f-strings that carry no placeholders (F541) and apply ruff format, so `ruff check` / `ruff format --check` pass in CI. * Emit ParseMethod-only EMF set so fallback alarm can fire The fallback-rate alarm queries the ParseOutcome series keyed on ParseMethod alone, but the emitter published only the joint (ParseMethod, TemplateId) dimension set. CloudWatch materializes exactly the listed dimension sets and does not auto-aggregate, so the alarm's series never received data: it evaluated a constant 0 and could never page on template-drift coverage collapse. Publish both ["ParseMethod"] and ["ParseMethod","TemplateId"] and update the EMF regression test to assert both sets are present. * Commit WO parser .eml fixtures for executable coverage The parser test suite globbed for input .eml fixtures that the repo's `*.eml` ignore rule kept uncommitted, so every parametrized golden and fail-closed test collected zero cases and CI could not exercise the deterministic parser that handles 100% of WO email volume. Add a fixtures-only negation to .gitignore and commit the 55 scrubbed positive samples (50 update-plaintext, 5 assign-html) plus 14 ai-fallback and 3 adversarial fixtures. The ai-fallback set covers each fail-closed reason code (subject_no_match, single_space_work_order, malformed_site_code, label_bleed, creation_time_unparseable, wo_id_mismatch, missing_required_field) and the adversarial set proves the parser is total and confines prompt-injection payloads to comment_text without steering the structured fields. * Fix WO parser advisories A1-A3 (PR #99 follow-ups) A1 — AI-fallback comment_id nondeterminism: parsed comment_time is model output and not stable across Lambda async retries, so on the ai_fallback path the comment_id range-key time segment now derives from the email Date header (deterministic per S3 object) instead of the model's comment_time. The template path is unchanged (its comment_time is a pure function of the raw email). Bedrock invoke pins temperature 0 so retries reproduce the same extraction. Closes the #23 reopening on the AI path. A2 — EMF record now carries the spec-required _aws.Timestamp (epoch ms) so CloudWatch reliably extracts the ParseOutcome datapoint that the fallback-rate alarm depends on. A3 — T1 New Comment capture no longer truncates at the first blank line; multi-paragraph comments are captured through internal blanks and terminate at the next label/separator. 17 golden files regenerated from the real fixtures accordingly. Hardening from the sh-security-review pass on this diff: - _header_date_iso is total: OverflowError/OSError from an extreme Date header fall back to 'nocomment' instead of failing the invocation. - _capture_block trims blanks in O(n) (no pop(0)) — removes a quadratic path on a crafted large blank run. - work_order_id is enforced digits-only on BOTH parse paths before it is used as a DynamoDB key, so prompt-injected AI output cannot forge '#' range-key segments or land on an arbitrary WO.
2026-07-16 12:45:11 -04:00
cid = _comment_ids(table)[0]
wo, time_part, suffix = cid.split("#")
assert wo == "11144580730"
assert time_part == "2026-04-27T23:51:48"
assert len(suffix) == 12 and all(c in "0123456789abcdef" for c in suffix)
# --- Advisory A1: ai_fallback path ---
def test_ai_path_retry_with_drifted_comment_time_is_idempotent(fake_dynamo):
"""A retry where the model returns a DIFFERENT comment_time must still map
to the same range key (the model output never enters the key)."""
feat: decompose email-processor handlers into flat siblings + lazy boto3 clients (refactor phase 5) (#113) Both email-processor God-handlers split along the seams that already work in the flat-sibling pattern established by lambdas/shared/, so bare-name imports keep working under the existing bundling glob. PO (5-way split): handler.py keeps only the event loop, fail-closed auth, and email_type routing. extraction.py holds extract_with_claude and _EMAIL_TAG_RE, importing EXTRACTION_PROMPT from prompts.py and parse_raw_email from shared/email_parsing.py rather than recreating a PO-local copy. enrichment.py is a pure code move of enrich_parsed and pad_zip (PO-only; WO has no enrichment stage) with zero behavior change. telemetry.py holds the EMF ParseMethod emit wrappers. persistence.py holds _write_fields/_merge_update/save_*, collapsing the byte-identical save_new_po/save_revision bodies into one _save_merge helper that both now call through, preserving the sticky Cancelled ConditionExpression guard for both callers; save_cancellation stays separate. WO (5 concerns, no enrichment stage): the handler loop keeps validate_ai_fallback and the re.fullmatch(r"[0-9]+", work_order_id) key guard ahead of both save_work_order and save_event, since the guard protects the DynamoDB partition key and the '#'-delimited comment_id range-key segment. _header_date_iso and comment_id determinism stay colocated with persistence.py's save_event for the retry-idempotent event_id key. EXTRACTION_PROMPT (PO) moves to prompts.py with cross-reference headers to derived_fields.py's authoritative trade/site/fiscal rule tables; handler.py re-exports it (from prompts import EXTRACTION_PROMPT) since four tests dereference handler.EXTRACTION_ PROMPT directly. WO's prompt moves the same way. I/O modules (extraction.py's bedrock client, persistence.py's dynamodb resource, handler.py's s3 client) get lazy cached boto3 accessors; pure modules (enrichment.py, prompts.py, telemetry.py) import no boto3. Test monkeypatch surfaces move to the module that now owns the client (e.g. persistence.dynamodb) everywhere tests patch it, and the moto-before-handler-import ordering in _po_parser_support.py is preserved so the moto-backed suites don't hit real AWS. Behavior-preservation pins, verified with tests: PO still emits ParseMethod=ai_fallback before the Bedrock call, with ai_fallback_rejected as the additive second datapoint on rejection. WO still emits after its gate with mutually-exclusive ai_fallback / ai_fallback_rejected. Shadow DerivedFieldAgreement telemetry stays ai_fallback-only. derived_fields.py is untouched (diff against feature/phase-3-shared-extraction is empty). handler(event, context) signatures and the save_* public contract are unchanged on both pipelines; goldens unchanged. PO_EXPECTED_TOP_LEVEL_MODULES and its WO equivalent in tests/test_bundle_consistency.py are updated for the new sibling modules so the AST bundle-consistency test still fails on an unshipped or uncommented-out sibling.
2026-07-20 15:34:53 -04:00
persistence.save_event(
feat: template-first WO parser + Bedrock fallback, PO Bedrock switch (#99) * Add deterministic template parser for WO emails The workorder-email-processor sends every one of ~22.9k emails/month to an LLM, but ~93.6% are the plain-text "AMAZON UPDATE WO DETAILS" comment template and ~6.4% the HTML "AMAZON assign Work Order" template. Parse those two shapes deterministically, offline, so the AI call is reserved for the long tail. The module is pure (no boto3, no network). try_deterministic_parse classifies by subject, extracts the shared contract fields, and returns a result ONLY when it passes a strict fail-closed validation gate: exact contract-key set, subject/id agreement, the literal "Work Order: <id>" double space, per-type required fields, site-code shape, and a label-bleed guard so a value that over-ran into the next field fails. Any miss, drift, or extractor exception yields None so the caller falls back to the AI extractor -- data is never corrupted, only the fallback rate rises. Refs: #23 * Migrate WO processor to Bedrock and fix comment_id collision Switch the AI path from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so parsing no longer needs a provider API key or Secrets Manager secret. The EXTRACTION_PROMPT and JSON contract are kept byte-identical, so the AI-fallback output is unchanged. Try the new deterministic template parser first and only call Bedrock on a miss/invalid result. Fix issue #23: the WorkOrderComments range key was work_order_id#<comment_time>, so two emails on one WO with an identical or absent comment time collided and overwrote each other. Derive a 12-hex suffix from the S3 object key alone -- deterministic, so an async retry of the same object is byte-identical (idempotent) while distinct emails get distinct keys -- and keep wall-clock now() out of the key (literal 'nocomment' segment when comment_time is absent). Also emit one CloudWatch EMF line per record (Seahaven/WorkorderIngest ParseOutcome, dimensioned by ParseMethod/TemplateId) for parse-outcome observability, replace the deprecated datetime.utcnow() with datetime.now(timezone.utc), and drop the anthropic dependency. Refs: #23 * Migrate PO processor to Bedrock Switch the PO email processor's AI extraction from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so it no longer needs a provider API key or Secrets Manager secret. PO parsing stays fully AI -- only the provider changes. The EXTRACTION_PROMPT is kept byte-identical and the Bedrock text output is still decoded with json.loads(..., parse_float=Decimal), which DynamoDB requires (it rejects floats). Replace the deprecated datetime.utcnow() with datetime.now(timezone.utc) and drop the anthropic dependency. * Grant Bedrock IAM, drop Anthropic secrets, add fallback alarm Both stacks moved their processors from the Anthropic API to the Bedrock inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0. Grant each processor role bedrock:InvokeModel + bedrock:InvokeModelWithResponseStream on BOTH the inference-profile ARN AND the per-region foundation-model ARNs for us-east-1/us-east-2/us-west-2 (empty-account) -- the us.* profile routes cross-region, so a profile-only grant AccessDenies at runtime. Remove both anthropic-api-key Secret constructs, their grant_read, and the ANTHROPIC_API_KEY_SECRET_ARN env; add BEDROCK_MODEL_ID. The secrets had RemovalPolicy.RETAIN so they are orphaned, not deleted -- flagged in the README for manual post-deploy deletion and key revocation. Add the workorder-email-processor-template-fallback-rate alarm: a FILL(0) + >=10-sample volume-floor MathExpression over the EMF ParseOutcome metric (15-min periods) that pages when the AI-fallback share exceeds 15% sustained, catching Hexagon template drift. ALARM-only SnsAction to site-alerts, no OK action, NOT_BREACHING, matching the existing stack idiom. * Add offline WO parser test suite Cover the deterministic parser with golden-file tests over 55 real scrubbed .eml fixtures (both comment sub-shapes, username Submitted-By, address present/absent, br+CRLF assign addresses), fail-closed validation-gate rules, adversarial and prompt-injection cases that must route to ai_fallback or parse without corrupting other fields, the issue #23 comment_id idempotency invariants, and the Bedrock-fallback dispatch plus EMF-metric emission with a mocked invoke_model. Extend pytest.ini testpaths to discover the co-located suite, and update tests/conftest.load_handler to put a handler's own directory on sys.path so the WO handler's new `from template_parser import ...` resolves under the existing shared handler tests. Point test_local.py at the new template-first + Bedrock flow. Refs: #23 * Document Bedrock migration and WO parse flow in README Record the provider switch to the Bedrock inference profile (no Anthropic API key or Secrets Manager secret, with the retired secrets flagged for manual deletion), the WO deterministic-template-first + AI-fallback flow, the new ParseOutcome EMF metric and template-fallback-rate alarm, the issue #23 comment_id format change, the +00:00 aware-UTC timestamp shift, and offline test instructions. Refs: #23 * Fix f-string lint and formatting in backfill scripts Drop the f prefix from two f-strings that carry no placeholders (F541) and apply ruff format, so `ruff check` / `ruff format --check` pass in CI. * Emit ParseMethod-only EMF set so fallback alarm can fire The fallback-rate alarm queries the ParseOutcome series keyed on ParseMethod alone, but the emitter published only the joint (ParseMethod, TemplateId) dimension set. CloudWatch materializes exactly the listed dimension sets and does not auto-aggregate, so the alarm's series never received data: it evaluated a constant 0 and could never page on template-drift coverage collapse. Publish both ["ParseMethod"] and ["ParseMethod","TemplateId"] and update the EMF regression test to assert both sets are present. * Commit WO parser .eml fixtures for executable coverage The parser test suite globbed for input .eml fixtures that the repo's `*.eml` ignore rule kept uncommitted, so every parametrized golden and fail-closed test collected zero cases and CI could not exercise the deterministic parser that handles 100% of WO email volume. Add a fixtures-only negation to .gitignore and commit the 55 scrubbed positive samples (50 update-plaintext, 5 assign-html) plus 14 ai-fallback and 3 adversarial fixtures. The ai-fallback set covers each fail-closed reason code (subject_no_match, single_space_work_order, malformed_site_code, label_bleed, creation_time_unparseable, wo_id_mismatch, missing_required_field) and the adversarial set proves the parser is total and confines prompt-injection payloads to comment_text without steering the structured fields. * Fix WO parser advisories A1-A3 (PR #99 follow-ups) A1 — AI-fallback comment_id nondeterminism: parsed comment_time is model output and not stable across Lambda async retries, so on the ai_fallback path the comment_id range-key time segment now derives from the email Date header (deterministic per S3 object) instead of the model's comment_time. The template path is unchanged (its comment_time is a pure function of the raw email). Bedrock invoke pins temperature 0 so retries reproduce the same extraction. Closes the #23 reopening on the AI path. A2 — EMF record now carries the spec-required _aws.Timestamp (epoch ms) so CloudWatch reliably extracts the ParseOutcome datapoint that the fallback-rate alarm depends on. A3 — T1 New Comment capture no longer truncates at the first blank line; multi-paragraph comments are captured through internal blanks and terminate at the next label/separator. 17 golden files regenerated from the real fixtures accordingly. Hardening from the sh-security-review pass on this diff: - _header_date_iso is total: OverflowError/OSError from an extreme Date header fall back to 'nocomment' instead of failing the invocation. - _capture_block trims blanks in O(n) (no pop(0)) — removes a quadratic path on a crafted large blank run. - work_order_id is enforced digits-only on BOTH parse paths before it is used as a DynamoDB key, so prompt-injected AI output cannot forge '#' range-key segments or land on an arbitrary WO.
2026-07-16 12:45:11 -04:00
_parsed(comment_time="2026-04-27T23:51:48"),
"s3://bucket/inbound/obj-f",
"inbound/obj-f",
"ai_fallback",
DATE_HEADER,
)
feat: decompose email-processor handlers into flat siblings + lazy boto3 clients (refactor phase 5) (#113) Both email-processor God-handlers split along the seams that already work in the flat-sibling pattern established by lambdas/shared/, so bare-name imports keep working under the existing bundling glob. PO (5-way split): handler.py keeps only the event loop, fail-closed auth, and email_type routing. extraction.py holds extract_with_claude and _EMAIL_TAG_RE, importing EXTRACTION_PROMPT from prompts.py and parse_raw_email from shared/email_parsing.py rather than recreating a PO-local copy. enrichment.py is a pure code move of enrich_parsed and pad_zip (PO-only; WO has no enrichment stage) with zero behavior change. telemetry.py holds the EMF ParseMethod emit wrappers. persistence.py holds _write_fields/_merge_update/save_*, collapsing the byte-identical save_new_po/save_revision bodies into one _save_merge helper that both now call through, preserving the sticky Cancelled ConditionExpression guard for both callers; save_cancellation stays separate. WO (5 concerns, no enrichment stage): the handler loop keeps validate_ai_fallback and the re.fullmatch(r"[0-9]+", work_order_id) key guard ahead of both save_work_order and save_event, since the guard protects the DynamoDB partition key and the '#'-delimited comment_id range-key segment. _header_date_iso and comment_id determinism stay colocated with persistence.py's save_event for the retry-idempotent event_id key. EXTRACTION_PROMPT (PO) moves to prompts.py with cross-reference headers to derived_fields.py's authoritative trade/site/fiscal rule tables; handler.py re-exports it (from prompts import EXTRACTION_PROMPT) since four tests dereference handler.EXTRACTION_ PROMPT directly. WO's prompt moves the same way. I/O modules (extraction.py's bedrock client, persistence.py's dynamodb resource, handler.py's s3 client) get lazy cached boto3 accessors; pure modules (enrichment.py, prompts.py, telemetry.py) import no boto3. Test monkeypatch surfaces move to the module that now owns the client (e.g. persistence.dynamodb) everywhere tests patch it, and the moto-before-handler-import ordering in _po_parser_support.py is preserved so the moto-backed suites don't hit real AWS. Behavior-preservation pins, verified with tests: PO still emits ParseMethod=ai_fallback before the Bedrock call, with ai_fallback_rejected as the additive second datapoint on rejection. WO still emits after its gate with mutually-exclusive ai_fallback / ai_fallback_rejected. Shadow DerivedFieldAgreement telemetry stays ai_fallback-only. derived_fields.py is untouched (diff against feature/phase-3-shared-extraction is empty). handler(event, context) signatures and the save_* public contract are unchanged on both pipelines; goldens unchanged. PO_EXPECTED_TOP_LEVEL_MODULES and its WO equivalent in tests/test_bundle_consistency.py are updated for the new sibling modules so the AST bundle-consistency test still fails on an unshipped or uncommented-out sibling.
2026-07-20 15:34:53 -04:00
persistence.save_event(
feat: template-first WO parser + Bedrock fallback, PO Bedrock switch (#99) * Add deterministic template parser for WO emails The workorder-email-processor sends every one of ~22.9k emails/month to an LLM, but ~93.6% are the plain-text "AMAZON UPDATE WO DETAILS" comment template and ~6.4% the HTML "AMAZON assign Work Order" template. Parse those two shapes deterministically, offline, so the AI call is reserved for the long tail. The module is pure (no boto3, no network). try_deterministic_parse classifies by subject, extracts the shared contract fields, and returns a result ONLY when it passes a strict fail-closed validation gate: exact contract-key set, subject/id agreement, the literal "Work Order: <id>" double space, per-type required fields, site-code shape, and a label-bleed guard so a value that over-ran into the next field fails. Any miss, drift, or extractor exception yields None so the caller falls back to the AI extractor -- data is never corrupted, only the fallback rate rises. Refs: #23 * Migrate WO processor to Bedrock and fix comment_id collision Switch the AI path from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so parsing no longer needs a provider API key or Secrets Manager secret. The EXTRACTION_PROMPT and JSON contract are kept byte-identical, so the AI-fallback output is unchanged. Try the new deterministic template parser first and only call Bedrock on a miss/invalid result. Fix issue #23: the WorkOrderComments range key was work_order_id#<comment_time>, so two emails on one WO with an identical or absent comment time collided and overwrote each other. Derive a 12-hex suffix from the S3 object key alone -- deterministic, so an async retry of the same object is byte-identical (idempotent) while distinct emails get distinct keys -- and keep wall-clock now() out of the key (literal 'nocomment' segment when comment_time is absent). Also emit one CloudWatch EMF line per record (Seahaven/WorkorderIngest ParseOutcome, dimensioned by ParseMethod/TemplateId) for parse-outcome observability, replace the deprecated datetime.utcnow() with datetime.now(timezone.utc), and drop the anthropic dependency. Refs: #23 * Migrate PO processor to Bedrock Switch the PO email processor's AI extraction from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so it no longer needs a provider API key or Secrets Manager secret. PO parsing stays fully AI -- only the provider changes. The EXTRACTION_PROMPT is kept byte-identical and the Bedrock text output is still decoded with json.loads(..., parse_float=Decimal), which DynamoDB requires (it rejects floats). Replace the deprecated datetime.utcnow() with datetime.now(timezone.utc) and drop the anthropic dependency. * Grant Bedrock IAM, drop Anthropic secrets, add fallback alarm Both stacks moved their processors from the Anthropic API to the Bedrock inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0. Grant each processor role bedrock:InvokeModel + bedrock:InvokeModelWithResponseStream on BOTH the inference-profile ARN AND the per-region foundation-model ARNs for us-east-1/us-east-2/us-west-2 (empty-account) -- the us.* profile routes cross-region, so a profile-only grant AccessDenies at runtime. Remove both anthropic-api-key Secret constructs, their grant_read, and the ANTHROPIC_API_KEY_SECRET_ARN env; add BEDROCK_MODEL_ID. The secrets had RemovalPolicy.RETAIN so they are orphaned, not deleted -- flagged in the README for manual post-deploy deletion and key revocation. Add the workorder-email-processor-template-fallback-rate alarm: a FILL(0) + >=10-sample volume-floor MathExpression over the EMF ParseOutcome metric (15-min periods) that pages when the AI-fallback share exceeds 15% sustained, catching Hexagon template drift. ALARM-only SnsAction to site-alerts, no OK action, NOT_BREACHING, matching the existing stack idiom. * Add offline WO parser test suite Cover the deterministic parser with golden-file tests over 55 real scrubbed .eml fixtures (both comment sub-shapes, username Submitted-By, address present/absent, br+CRLF assign addresses), fail-closed validation-gate rules, adversarial and prompt-injection cases that must route to ai_fallback or parse without corrupting other fields, the issue #23 comment_id idempotency invariants, and the Bedrock-fallback dispatch plus EMF-metric emission with a mocked invoke_model. Extend pytest.ini testpaths to discover the co-located suite, and update tests/conftest.load_handler to put a handler's own directory on sys.path so the WO handler's new `from template_parser import ...` resolves under the existing shared handler tests. Point test_local.py at the new template-first + Bedrock flow. Refs: #23 * Document Bedrock migration and WO parse flow in README Record the provider switch to the Bedrock inference profile (no Anthropic API key or Secrets Manager secret, with the retired secrets flagged for manual deletion), the WO deterministic-template-first + AI-fallback flow, the new ParseOutcome EMF metric and template-fallback-rate alarm, the issue #23 comment_id format change, the +00:00 aware-UTC timestamp shift, and offline test instructions. Refs: #23 * Fix f-string lint and formatting in backfill scripts Drop the f prefix from two f-strings that carry no placeholders (F541) and apply ruff format, so `ruff check` / `ruff format --check` pass in CI. * Emit ParseMethod-only EMF set so fallback alarm can fire The fallback-rate alarm queries the ParseOutcome series keyed on ParseMethod alone, but the emitter published only the joint (ParseMethod, TemplateId) dimension set. CloudWatch materializes exactly the listed dimension sets and does not auto-aggregate, so the alarm's series never received data: it evaluated a constant 0 and could never page on template-drift coverage collapse. Publish both ["ParseMethod"] and ["ParseMethod","TemplateId"] and update the EMF regression test to assert both sets are present. * Commit WO parser .eml fixtures for executable coverage The parser test suite globbed for input .eml fixtures that the repo's `*.eml` ignore rule kept uncommitted, so every parametrized golden and fail-closed test collected zero cases and CI could not exercise the deterministic parser that handles 100% of WO email volume. Add a fixtures-only negation to .gitignore and commit the 55 scrubbed positive samples (50 update-plaintext, 5 assign-html) plus 14 ai-fallback and 3 adversarial fixtures. The ai-fallback set covers each fail-closed reason code (subject_no_match, single_space_work_order, malformed_site_code, label_bleed, creation_time_unparseable, wo_id_mismatch, missing_required_field) and the adversarial set proves the parser is total and confines prompt-injection payloads to comment_text without steering the structured fields. * Fix WO parser advisories A1-A3 (PR #99 follow-ups) A1 — AI-fallback comment_id nondeterminism: parsed comment_time is model output and not stable across Lambda async retries, so on the ai_fallback path the comment_id range-key time segment now derives from the email Date header (deterministic per S3 object) instead of the model's comment_time. The template path is unchanged (its comment_time is a pure function of the raw email). Bedrock invoke pins temperature 0 so retries reproduce the same extraction. Closes the #23 reopening on the AI path. A2 — EMF record now carries the spec-required _aws.Timestamp (epoch ms) so CloudWatch reliably extracts the ParseOutcome datapoint that the fallback-rate alarm depends on. A3 — T1 New Comment capture no longer truncates at the first blank line; multi-paragraph comments are captured through internal blanks and terminate at the next label/separator. 17 golden files regenerated from the real fixtures accordingly. Hardening from the sh-security-review pass on this diff: - _header_date_iso is total: OverflowError/OSError from an extreme Date header fall back to 'nocomment' instead of failing the invocation. - _capture_block trims blanks in O(n) (no pop(0)) — removes a quadratic path on a crafted large blank run. - work_order_id is enforced digits-only on BOTH parse paths before it is used as a DynamoDB key, so prompt-injected AI output cannot forge '#' range-key segments or land on an arbitrary WO.
2026-07-16 12:45:11 -04:00
_parsed(comment_time="2026-04-27T23:52:03"), # model drifted on retry
"s3://bucket/inbound/obj-f",
"inbound/obj-f",
"ai_fallback",
DATE_HEADER,
)
feat: decompose email-processor handlers into flat siblings + lazy boto3 clients (refactor phase 5) (#113) Both email-processor God-handlers split along the seams that already work in the flat-sibling pattern established by lambdas/shared/, so bare-name imports keep working under the existing bundling glob. PO (5-way split): handler.py keeps only the event loop, fail-closed auth, and email_type routing. extraction.py holds extract_with_claude and _EMAIL_TAG_RE, importing EXTRACTION_PROMPT from prompts.py and parse_raw_email from shared/email_parsing.py rather than recreating a PO-local copy. enrichment.py is a pure code move of enrich_parsed and pad_zip (PO-only; WO has no enrichment stage) with zero behavior change. telemetry.py holds the EMF ParseMethod emit wrappers. persistence.py holds _write_fields/_merge_update/save_*, collapsing the byte-identical save_new_po/save_revision bodies into one _save_merge helper that both now call through, preserving the sticky Cancelled ConditionExpression guard for both callers; save_cancellation stays separate. WO (5 concerns, no enrichment stage): the handler loop keeps validate_ai_fallback and the re.fullmatch(r"[0-9]+", work_order_id) key guard ahead of both save_work_order and save_event, since the guard protects the DynamoDB partition key and the '#'-delimited comment_id range-key segment. _header_date_iso and comment_id determinism stay colocated with persistence.py's save_event for the retry-idempotent event_id key. EXTRACTION_PROMPT (PO) moves to prompts.py with cross-reference headers to derived_fields.py's authoritative trade/site/fiscal rule tables; handler.py re-exports it (from prompts import EXTRACTION_PROMPT) since four tests dereference handler.EXTRACTION_ PROMPT directly. WO's prompt moves the same way. I/O modules (extraction.py's bedrock client, persistence.py's dynamodb resource, handler.py's s3 client) get lazy cached boto3 accessors; pure modules (enrichment.py, prompts.py, telemetry.py) import no boto3. Test monkeypatch surfaces move to the module that now owns the client (e.g. persistence.dynamodb) everywhere tests patch it, and the moto-before-handler-import ordering in _po_parser_support.py is preserved so the moto-backed suites don't hit real AWS. Behavior-preservation pins, verified with tests: PO still emits ParseMethod=ai_fallback before the Bedrock call, with ai_fallback_rejected as the additive second datapoint on rejection. WO still emits after its gate with mutually-exclusive ai_fallback / ai_fallback_rejected. Shadow DerivedFieldAgreement telemetry stays ai_fallback-only. derived_fields.py is untouched (diff against feature/phase-3-shared-extraction is empty). handler(event, context) signatures and the save_* public contract are unchanged on both pipelines; goldens unchanged. PO_EXPECTED_TOP_LEVEL_MODULES and its WO equivalent in tests/test_bundle_consistency.py are updated for the new sibling modules so the AST bundle-consistency test still fails on an unshipped or uncommented-out sibling.
2026-07-20 15:34:53 -04:00
table = fake_dynamo.tables[persistence.COMMENTS_TABLE]
feat: template-first WO parser + Bedrock fallback, PO Bedrock switch (#99) * Add deterministic template parser for WO emails The workorder-email-processor sends every one of ~22.9k emails/month to an LLM, but ~93.6% are the plain-text "AMAZON UPDATE WO DETAILS" comment template and ~6.4% the HTML "AMAZON assign Work Order" template. Parse those two shapes deterministically, offline, so the AI call is reserved for the long tail. The module is pure (no boto3, no network). try_deterministic_parse classifies by subject, extracts the shared contract fields, and returns a result ONLY when it passes a strict fail-closed validation gate: exact contract-key set, subject/id agreement, the literal "Work Order: <id>" double space, per-type required fields, site-code shape, and a label-bleed guard so a value that over-ran into the next field fails. Any miss, drift, or extractor exception yields None so the caller falls back to the AI extractor -- data is never corrupted, only the fallback rate rises. Refs: #23 * Migrate WO processor to Bedrock and fix comment_id collision Switch the AI path from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so parsing no longer needs a provider API key or Secrets Manager secret. The EXTRACTION_PROMPT and JSON contract are kept byte-identical, so the AI-fallback output is unchanged. Try the new deterministic template parser first and only call Bedrock on a miss/invalid result. Fix issue #23: the WorkOrderComments range key was work_order_id#<comment_time>, so two emails on one WO with an identical or absent comment time collided and overwrote each other. Derive a 12-hex suffix from the S3 object key alone -- deterministic, so an async retry of the same object is byte-identical (idempotent) while distinct emails get distinct keys -- and keep wall-clock now() out of the key (literal 'nocomment' segment when comment_time is absent). Also emit one CloudWatch EMF line per record (Seahaven/WorkorderIngest ParseOutcome, dimensioned by ParseMethod/TemplateId) for parse-outcome observability, replace the deprecated datetime.utcnow() with datetime.now(timezone.utc), and drop the anthropic dependency. Refs: #23 * Migrate PO processor to Bedrock Switch the PO email processor's AI extraction from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so it no longer needs a provider API key or Secrets Manager secret. PO parsing stays fully AI -- only the provider changes. The EXTRACTION_PROMPT is kept byte-identical and the Bedrock text output is still decoded with json.loads(..., parse_float=Decimal), which DynamoDB requires (it rejects floats). Replace the deprecated datetime.utcnow() with datetime.now(timezone.utc) and drop the anthropic dependency. * Grant Bedrock IAM, drop Anthropic secrets, add fallback alarm Both stacks moved their processors from the Anthropic API to the Bedrock inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0. Grant each processor role bedrock:InvokeModel + bedrock:InvokeModelWithResponseStream on BOTH the inference-profile ARN AND the per-region foundation-model ARNs for us-east-1/us-east-2/us-west-2 (empty-account) -- the us.* profile routes cross-region, so a profile-only grant AccessDenies at runtime. Remove both anthropic-api-key Secret constructs, their grant_read, and the ANTHROPIC_API_KEY_SECRET_ARN env; add BEDROCK_MODEL_ID. The secrets had RemovalPolicy.RETAIN so they are orphaned, not deleted -- flagged in the README for manual post-deploy deletion and key revocation. Add the workorder-email-processor-template-fallback-rate alarm: a FILL(0) + >=10-sample volume-floor MathExpression over the EMF ParseOutcome metric (15-min periods) that pages when the AI-fallback share exceeds 15% sustained, catching Hexagon template drift. ALARM-only SnsAction to site-alerts, no OK action, NOT_BREACHING, matching the existing stack idiom. * Add offline WO parser test suite Cover the deterministic parser with golden-file tests over 55 real scrubbed .eml fixtures (both comment sub-shapes, username Submitted-By, address present/absent, br+CRLF assign addresses), fail-closed validation-gate rules, adversarial and prompt-injection cases that must route to ai_fallback or parse without corrupting other fields, the issue #23 comment_id idempotency invariants, and the Bedrock-fallback dispatch plus EMF-metric emission with a mocked invoke_model. Extend pytest.ini testpaths to discover the co-located suite, and update tests/conftest.load_handler to put a handler's own directory on sys.path so the WO handler's new `from template_parser import ...` resolves under the existing shared handler tests. Point test_local.py at the new template-first + Bedrock flow. Refs: #23 * Document Bedrock migration and WO parse flow in README Record the provider switch to the Bedrock inference profile (no Anthropic API key or Secrets Manager secret, with the retired secrets flagged for manual deletion), the WO deterministic-template-first + AI-fallback flow, the new ParseOutcome EMF metric and template-fallback-rate alarm, the issue #23 comment_id format change, the +00:00 aware-UTC timestamp shift, and offline test instructions. Refs: #23 * Fix f-string lint and formatting in backfill scripts Drop the f prefix from two f-strings that carry no placeholders (F541) and apply ruff format, so `ruff check` / `ruff format --check` pass in CI. * Emit ParseMethod-only EMF set so fallback alarm can fire The fallback-rate alarm queries the ParseOutcome series keyed on ParseMethod alone, but the emitter published only the joint (ParseMethod, TemplateId) dimension set. CloudWatch materializes exactly the listed dimension sets and does not auto-aggregate, so the alarm's series never received data: it evaluated a constant 0 and could never page on template-drift coverage collapse. Publish both ["ParseMethod"] and ["ParseMethod","TemplateId"] and update the EMF regression test to assert both sets are present. * Commit WO parser .eml fixtures for executable coverage The parser test suite globbed for input .eml fixtures that the repo's `*.eml` ignore rule kept uncommitted, so every parametrized golden and fail-closed test collected zero cases and CI could not exercise the deterministic parser that handles 100% of WO email volume. Add a fixtures-only negation to .gitignore and commit the 55 scrubbed positive samples (50 update-plaintext, 5 assign-html) plus 14 ai-fallback and 3 adversarial fixtures. The ai-fallback set covers each fail-closed reason code (subject_no_match, single_space_work_order, malformed_site_code, label_bleed, creation_time_unparseable, wo_id_mismatch, missing_required_field) and the adversarial set proves the parser is total and confines prompt-injection payloads to comment_text without steering the structured fields. * Fix WO parser advisories A1-A3 (PR #99 follow-ups) A1 — AI-fallback comment_id nondeterminism: parsed comment_time is model output and not stable across Lambda async retries, so on the ai_fallback path the comment_id range-key time segment now derives from the email Date header (deterministic per S3 object) instead of the model's comment_time. The template path is unchanged (its comment_time is a pure function of the raw email). Bedrock invoke pins temperature 0 so retries reproduce the same extraction. Closes the #23 reopening on the AI path. A2 — EMF record now carries the spec-required _aws.Timestamp (epoch ms) so CloudWatch reliably extracts the ParseOutcome datapoint that the fallback-rate alarm depends on. A3 — T1 New Comment capture no longer truncates at the first blank line; multi-paragraph comments are captured through internal blanks and terminate at the next label/separator. 17 golden files regenerated from the real fixtures accordingly. Hardening from the sh-security-review pass on this diff: - _header_date_iso is total: OverflowError/OSError from an extreme Date header fall back to 'nocomment' instead of failing the invocation. - _capture_block trims blanks in O(n) (no pop(0)) — removes a quadratic path on a crafted large blank run. - work_order_id is enforced digits-only on BOTH parse paths before it is used as a DynamoDB key, so prompt-injected AI output cannot forge '#' range-key segments or land on an arbitrary WO.
2026-07-16 12:45:11 -04:00
ids = _comment_ids(table)
assert ids[0] == ids[1]
assert len(table.store) == 1
def test_ai_path_key_uses_date_header_not_model_output(fake_dynamo):
feat: decompose email-processor handlers into flat siblings + lazy boto3 clients (refactor phase 5) (#113) Both email-processor God-handlers split along the seams that already work in the flat-sibling pattern established by lambdas/shared/, so bare-name imports keep working under the existing bundling glob. PO (5-way split): handler.py keeps only the event loop, fail-closed auth, and email_type routing. extraction.py holds extract_with_claude and _EMAIL_TAG_RE, importing EXTRACTION_PROMPT from prompts.py and parse_raw_email from shared/email_parsing.py rather than recreating a PO-local copy. enrichment.py is a pure code move of enrich_parsed and pad_zip (PO-only; WO has no enrichment stage) with zero behavior change. telemetry.py holds the EMF ParseMethod emit wrappers. persistence.py holds _write_fields/_merge_update/save_*, collapsing the byte-identical save_new_po/save_revision bodies into one _save_merge helper that both now call through, preserving the sticky Cancelled ConditionExpression guard for both callers; save_cancellation stays separate. WO (5 concerns, no enrichment stage): the handler loop keeps validate_ai_fallback and the re.fullmatch(r"[0-9]+", work_order_id) key guard ahead of both save_work_order and save_event, since the guard protects the DynamoDB partition key and the '#'-delimited comment_id range-key segment. _header_date_iso and comment_id determinism stay colocated with persistence.py's save_event for the retry-idempotent event_id key. EXTRACTION_PROMPT (PO) moves to prompts.py with cross-reference headers to derived_fields.py's authoritative trade/site/fiscal rule tables; handler.py re-exports it (from prompts import EXTRACTION_PROMPT) since four tests dereference handler.EXTRACTION_ PROMPT directly. WO's prompt moves the same way. I/O modules (extraction.py's bedrock client, persistence.py's dynamodb resource, handler.py's s3 client) get lazy cached boto3 accessors; pure modules (enrichment.py, prompts.py, telemetry.py) import no boto3. Test monkeypatch surfaces move to the module that now owns the client (e.g. persistence.dynamodb) everywhere tests patch it, and the moto-before-handler-import ordering in _po_parser_support.py is preserved so the moto-backed suites don't hit real AWS. Behavior-preservation pins, verified with tests: PO still emits ParseMethod=ai_fallback before the Bedrock call, with ai_fallback_rejected as the additive second datapoint on rejection. WO still emits after its gate with mutually-exclusive ai_fallback / ai_fallback_rejected. Shadow DerivedFieldAgreement telemetry stays ai_fallback-only. derived_fields.py is untouched (diff against feature/phase-3-shared-extraction is empty). handler(event, context) signatures and the save_* public contract are unchanged on both pipelines; goldens unchanged. PO_EXPECTED_TOP_LEVEL_MODULES and its WO equivalent in tests/test_bundle_consistency.py are updated for the new sibling modules so the AST bundle-consistency test still fails on an unshipped or uncommented-out sibling.
2026-07-20 15:34:53 -04:00
persistence.save_event(
feat: template-first WO parser + Bedrock fallback, PO Bedrock switch (#99) * Add deterministic template parser for WO emails The workorder-email-processor sends every one of ~22.9k emails/month to an LLM, but ~93.6% are the plain-text "AMAZON UPDATE WO DETAILS" comment template and ~6.4% the HTML "AMAZON assign Work Order" template. Parse those two shapes deterministically, offline, so the AI call is reserved for the long tail. The module is pure (no boto3, no network). try_deterministic_parse classifies by subject, extracts the shared contract fields, and returns a result ONLY when it passes a strict fail-closed validation gate: exact contract-key set, subject/id agreement, the literal "Work Order: <id>" double space, per-type required fields, site-code shape, and a label-bleed guard so a value that over-ran into the next field fails. Any miss, drift, or extractor exception yields None so the caller falls back to the AI extractor -- data is never corrupted, only the fallback rate rises. Refs: #23 * Migrate WO processor to Bedrock and fix comment_id collision Switch the AI path from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so parsing no longer needs a provider API key or Secrets Manager secret. The EXTRACTION_PROMPT and JSON contract are kept byte-identical, so the AI-fallback output is unchanged. Try the new deterministic template parser first and only call Bedrock on a miss/invalid result. Fix issue #23: the WorkOrderComments range key was work_order_id#<comment_time>, so two emails on one WO with an identical or absent comment time collided and overwrote each other. Derive a 12-hex suffix from the S3 object key alone -- deterministic, so an async retry of the same object is byte-identical (idempotent) while distinct emails get distinct keys -- and keep wall-clock now() out of the key (literal 'nocomment' segment when comment_time is absent). Also emit one CloudWatch EMF line per record (Seahaven/WorkorderIngest ParseOutcome, dimensioned by ParseMethod/TemplateId) for parse-outcome observability, replace the deprecated datetime.utcnow() with datetime.now(timezone.utc), and drop the anthropic dependency. Refs: #23 * Migrate PO processor to Bedrock Switch the PO email processor's AI extraction from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so it no longer needs a provider API key or Secrets Manager secret. PO parsing stays fully AI -- only the provider changes. The EXTRACTION_PROMPT is kept byte-identical and the Bedrock text output is still decoded with json.loads(..., parse_float=Decimal), which DynamoDB requires (it rejects floats). Replace the deprecated datetime.utcnow() with datetime.now(timezone.utc) and drop the anthropic dependency. * Grant Bedrock IAM, drop Anthropic secrets, add fallback alarm Both stacks moved their processors from the Anthropic API to the Bedrock inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0. Grant each processor role bedrock:InvokeModel + bedrock:InvokeModelWithResponseStream on BOTH the inference-profile ARN AND the per-region foundation-model ARNs for us-east-1/us-east-2/us-west-2 (empty-account) -- the us.* profile routes cross-region, so a profile-only grant AccessDenies at runtime. Remove both anthropic-api-key Secret constructs, their grant_read, and the ANTHROPIC_API_KEY_SECRET_ARN env; add BEDROCK_MODEL_ID. The secrets had RemovalPolicy.RETAIN so they are orphaned, not deleted -- flagged in the README for manual post-deploy deletion and key revocation. Add the workorder-email-processor-template-fallback-rate alarm: a FILL(0) + >=10-sample volume-floor MathExpression over the EMF ParseOutcome metric (15-min periods) that pages when the AI-fallback share exceeds 15% sustained, catching Hexagon template drift. ALARM-only SnsAction to site-alerts, no OK action, NOT_BREACHING, matching the existing stack idiom. * Add offline WO parser test suite Cover the deterministic parser with golden-file tests over 55 real scrubbed .eml fixtures (both comment sub-shapes, username Submitted-By, address present/absent, br+CRLF assign addresses), fail-closed validation-gate rules, adversarial and prompt-injection cases that must route to ai_fallback or parse without corrupting other fields, the issue #23 comment_id idempotency invariants, and the Bedrock-fallback dispatch plus EMF-metric emission with a mocked invoke_model. Extend pytest.ini testpaths to discover the co-located suite, and update tests/conftest.load_handler to put a handler's own directory on sys.path so the WO handler's new `from template_parser import ...` resolves under the existing shared handler tests. Point test_local.py at the new template-first + Bedrock flow. Refs: #23 * Document Bedrock migration and WO parse flow in README Record the provider switch to the Bedrock inference profile (no Anthropic API key or Secrets Manager secret, with the retired secrets flagged for manual deletion), the WO deterministic-template-first + AI-fallback flow, the new ParseOutcome EMF metric and template-fallback-rate alarm, the issue #23 comment_id format change, the +00:00 aware-UTC timestamp shift, and offline test instructions. Refs: #23 * Fix f-string lint and formatting in backfill scripts Drop the f prefix from two f-strings that carry no placeholders (F541) and apply ruff format, so `ruff check` / `ruff format --check` pass in CI. * Emit ParseMethod-only EMF set so fallback alarm can fire The fallback-rate alarm queries the ParseOutcome series keyed on ParseMethod alone, but the emitter published only the joint (ParseMethod, TemplateId) dimension set. CloudWatch materializes exactly the listed dimension sets and does not auto-aggregate, so the alarm's series never received data: it evaluated a constant 0 and could never page on template-drift coverage collapse. Publish both ["ParseMethod"] and ["ParseMethod","TemplateId"] and update the EMF regression test to assert both sets are present. * Commit WO parser .eml fixtures for executable coverage The parser test suite globbed for input .eml fixtures that the repo's `*.eml` ignore rule kept uncommitted, so every parametrized golden and fail-closed test collected zero cases and CI could not exercise the deterministic parser that handles 100% of WO email volume. Add a fixtures-only negation to .gitignore and commit the 55 scrubbed positive samples (50 update-plaintext, 5 assign-html) plus 14 ai-fallback and 3 adversarial fixtures. The ai-fallback set covers each fail-closed reason code (subject_no_match, single_space_work_order, malformed_site_code, label_bleed, creation_time_unparseable, wo_id_mismatch, missing_required_field) and the adversarial set proves the parser is total and confines prompt-injection payloads to comment_text without steering the structured fields. * Fix WO parser advisories A1-A3 (PR #99 follow-ups) A1 — AI-fallback comment_id nondeterminism: parsed comment_time is model output and not stable across Lambda async retries, so on the ai_fallback path the comment_id range-key time segment now derives from the email Date header (deterministic per S3 object) instead of the model's comment_time. The template path is unchanged (its comment_time is a pure function of the raw email). Bedrock invoke pins temperature 0 so retries reproduce the same extraction. Closes the #23 reopening on the AI path. A2 — EMF record now carries the spec-required _aws.Timestamp (epoch ms) so CloudWatch reliably extracts the ParseOutcome datapoint that the fallback-rate alarm depends on. A3 — T1 New Comment capture no longer truncates at the first blank line; multi-paragraph comments are captured through internal blanks and terminate at the next label/separator. 17 golden files regenerated from the real fixtures accordingly. Hardening from the sh-security-review pass on this diff: - _header_date_iso is total: OverflowError/OSError from an extreme Date header fall back to 'nocomment' instead of failing the invocation. - _capture_block trims blanks in O(n) (no pop(0)) — removes a quadratic path on a crafted large blank run. - work_order_id is enforced digits-only on BOTH parse paths before it is used as a DynamoDB key, so prompt-injected AI output cannot forge '#' range-key segments or land on an arbitrary WO.
2026-07-16 12:45:11 -04:00
_parsed(),
"s3://bucket/inbound/obj-g",
"inbound/obj-g",
"ai_fallback",
DATE_HEADER,
)
feat: decompose email-processor handlers into flat siblings + lazy boto3 clients (refactor phase 5) (#113) Both email-processor God-handlers split along the seams that already work in the flat-sibling pattern established by lambdas/shared/, so bare-name imports keep working under the existing bundling glob. PO (5-way split): handler.py keeps only the event loop, fail-closed auth, and email_type routing. extraction.py holds extract_with_claude and _EMAIL_TAG_RE, importing EXTRACTION_PROMPT from prompts.py and parse_raw_email from shared/email_parsing.py rather than recreating a PO-local copy. enrichment.py is a pure code move of enrich_parsed and pad_zip (PO-only; WO has no enrichment stage) with zero behavior change. telemetry.py holds the EMF ParseMethod emit wrappers. persistence.py holds _write_fields/_merge_update/save_*, collapsing the byte-identical save_new_po/save_revision bodies into one _save_merge helper that both now call through, preserving the sticky Cancelled ConditionExpression guard for both callers; save_cancellation stays separate. WO (5 concerns, no enrichment stage): the handler loop keeps validate_ai_fallback and the re.fullmatch(r"[0-9]+", work_order_id) key guard ahead of both save_work_order and save_event, since the guard protects the DynamoDB partition key and the '#'-delimited comment_id range-key segment. _header_date_iso and comment_id determinism stay colocated with persistence.py's save_event for the retry-idempotent event_id key. EXTRACTION_PROMPT (PO) moves to prompts.py with cross-reference headers to derived_fields.py's authoritative trade/site/fiscal rule tables; handler.py re-exports it (from prompts import EXTRACTION_PROMPT) since four tests dereference handler.EXTRACTION_ PROMPT directly. WO's prompt moves the same way. I/O modules (extraction.py's bedrock client, persistence.py's dynamodb resource, handler.py's s3 client) get lazy cached boto3 accessors; pure modules (enrichment.py, prompts.py, telemetry.py) import no boto3. Test monkeypatch surfaces move to the module that now owns the client (e.g. persistence.dynamodb) everywhere tests patch it, and the moto-before-handler-import ordering in _po_parser_support.py is preserved so the moto-backed suites don't hit real AWS. Behavior-preservation pins, verified with tests: PO still emits ParseMethod=ai_fallback before the Bedrock call, with ai_fallback_rejected as the additive second datapoint on rejection. WO still emits after its gate with mutually-exclusive ai_fallback / ai_fallback_rejected. Shadow DerivedFieldAgreement telemetry stays ai_fallback-only. derived_fields.py is untouched (diff against feature/phase-3-shared-extraction is empty). handler(event, context) signatures and the save_* public contract are unchanged on both pipelines; goldens unchanged. PO_EXPECTED_TOP_LEVEL_MODULES and its WO equivalent in tests/test_bundle_consistency.py are updated for the new sibling modules so the AST bundle-consistency test still fails on an unshipped or uncommented-out sibling.
2026-07-20 15:34:53 -04:00
table = fake_dynamo.tables[persistence.COMMENTS_TABLE]
feat: template-first WO parser + Bedrock fallback, PO Bedrock switch (#99) * Add deterministic template parser for WO emails The workorder-email-processor sends every one of ~22.9k emails/month to an LLM, but ~93.6% are the plain-text "AMAZON UPDATE WO DETAILS" comment template and ~6.4% the HTML "AMAZON assign Work Order" template. Parse those two shapes deterministically, offline, so the AI call is reserved for the long tail. The module is pure (no boto3, no network). try_deterministic_parse classifies by subject, extracts the shared contract fields, and returns a result ONLY when it passes a strict fail-closed validation gate: exact contract-key set, subject/id agreement, the literal "Work Order: <id>" double space, per-type required fields, site-code shape, and a label-bleed guard so a value that over-ran into the next field fails. Any miss, drift, or extractor exception yields None so the caller falls back to the AI extractor -- data is never corrupted, only the fallback rate rises. Refs: #23 * Migrate WO processor to Bedrock and fix comment_id collision Switch the AI path from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so parsing no longer needs a provider API key or Secrets Manager secret. The EXTRACTION_PROMPT and JSON contract are kept byte-identical, so the AI-fallback output is unchanged. Try the new deterministic template parser first and only call Bedrock on a miss/invalid result. Fix issue #23: the WorkOrderComments range key was work_order_id#<comment_time>, so two emails on one WO with an identical or absent comment time collided and overwrote each other. Derive a 12-hex suffix from the S3 object key alone -- deterministic, so an async retry of the same object is byte-identical (idempotent) while distinct emails get distinct keys -- and keep wall-clock now() out of the key (literal 'nocomment' segment when comment_time is absent). Also emit one CloudWatch EMF line per record (Seahaven/WorkorderIngest ParseOutcome, dimensioned by ParseMethod/TemplateId) for parse-outcome observability, replace the deprecated datetime.utcnow() with datetime.now(timezone.utc), and drop the anthropic dependency. Refs: #23 * Migrate PO processor to Bedrock Switch the PO email processor's AI extraction from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so it no longer needs a provider API key or Secrets Manager secret. PO parsing stays fully AI -- only the provider changes. The EXTRACTION_PROMPT is kept byte-identical and the Bedrock text output is still decoded with json.loads(..., parse_float=Decimal), which DynamoDB requires (it rejects floats). Replace the deprecated datetime.utcnow() with datetime.now(timezone.utc) and drop the anthropic dependency. * Grant Bedrock IAM, drop Anthropic secrets, add fallback alarm Both stacks moved their processors from the Anthropic API to the Bedrock inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0. Grant each processor role bedrock:InvokeModel + bedrock:InvokeModelWithResponseStream on BOTH the inference-profile ARN AND the per-region foundation-model ARNs for us-east-1/us-east-2/us-west-2 (empty-account) -- the us.* profile routes cross-region, so a profile-only grant AccessDenies at runtime. Remove both anthropic-api-key Secret constructs, their grant_read, and the ANTHROPIC_API_KEY_SECRET_ARN env; add BEDROCK_MODEL_ID. The secrets had RemovalPolicy.RETAIN so they are orphaned, not deleted -- flagged in the README for manual post-deploy deletion and key revocation. Add the workorder-email-processor-template-fallback-rate alarm: a FILL(0) + >=10-sample volume-floor MathExpression over the EMF ParseOutcome metric (15-min periods) that pages when the AI-fallback share exceeds 15% sustained, catching Hexagon template drift. ALARM-only SnsAction to site-alerts, no OK action, NOT_BREACHING, matching the existing stack idiom. * Add offline WO parser test suite Cover the deterministic parser with golden-file tests over 55 real scrubbed .eml fixtures (both comment sub-shapes, username Submitted-By, address present/absent, br+CRLF assign addresses), fail-closed validation-gate rules, adversarial and prompt-injection cases that must route to ai_fallback or parse without corrupting other fields, the issue #23 comment_id idempotency invariants, and the Bedrock-fallback dispatch plus EMF-metric emission with a mocked invoke_model. Extend pytest.ini testpaths to discover the co-located suite, and update tests/conftest.load_handler to put a handler's own directory on sys.path so the WO handler's new `from template_parser import ...` resolves under the existing shared handler tests. Point test_local.py at the new template-first + Bedrock flow. Refs: #23 * Document Bedrock migration and WO parse flow in README Record the provider switch to the Bedrock inference profile (no Anthropic API key or Secrets Manager secret, with the retired secrets flagged for manual deletion), the WO deterministic-template-first + AI-fallback flow, the new ParseOutcome EMF metric and template-fallback-rate alarm, the issue #23 comment_id format change, the +00:00 aware-UTC timestamp shift, and offline test instructions. Refs: #23 * Fix f-string lint and formatting in backfill scripts Drop the f prefix from two f-strings that carry no placeholders (F541) and apply ruff format, so `ruff check` / `ruff format --check` pass in CI. * Emit ParseMethod-only EMF set so fallback alarm can fire The fallback-rate alarm queries the ParseOutcome series keyed on ParseMethod alone, but the emitter published only the joint (ParseMethod, TemplateId) dimension set. CloudWatch materializes exactly the listed dimension sets and does not auto-aggregate, so the alarm's series never received data: it evaluated a constant 0 and could never page on template-drift coverage collapse. Publish both ["ParseMethod"] and ["ParseMethod","TemplateId"] and update the EMF regression test to assert both sets are present. * Commit WO parser .eml fixtures for executable coverage The parser test suite globbed for input .eml fixtures that the repo's `*.eml` ignore rule kept uncommitted, so every parametrized golden and fail-closed test collected zero cases and CI could not exercise the deterministic parser that handles 100% of WO email volume. Add a fixtures-only negation to .gitignore and commit the 55 scrubbed positive samples (50 update-plaintext, 5 assign-html) plus 14 ai-fallback and 3 adversarial fixtures. The ai-fallback set covers each fail-closed reason code (subject_no_match, single_space_work_order, malformed_site_code, label_bleed, creation_time_unparseable, wo_id_mismatch, missing_required_field) and the adversarial set proves the parser is total and confines prompt-injection payloads to comment_text without steering the structured fields. * Fix WO parser advisories A1-A3 (PR #99 follow-ups) A1 — AI-fallback comment_id nondeterminism: parsed comment_time is model output and not stable across Lambda async retries, so on the ai_fallback path the comment_id range-key time segment now derives from the email Date header (deterministic per S3 object) instead of the model's comment_time. The template path is unchanged (its comment_time is a pure function of the raw email). Bedrock invoke pins temperature 0 so retries reproduce the same extraction. Closes the #23 reopening on the AI path. A2 — EMF record now carries the spec-required _aws.Timestamp (epoch ms) so CloudWatch reliably extracts the ParseOutcome datapoint that the fallback-rate alarm depends on. A3 — T1 New Comment capture no longer truncates at the first blank line; multi-paragraph comments are captured through internal blanks and terminate at the next label/separator. 17 golden files regenerated from the real fixtures accordingly. Hardening from the sh-security-review pass on this diff: - _header_date_iso is total: OverflowError/OSError from an extreme Date header fall back to 'nocomment' instead of failing the invocation. - _capture_block trims blanks in O(n) (no pop(0)) — removes a quadratic path on a crafted large blank run. - work_order_id is enforced digits-only on BOTH parse paths before it is used as a DynamoDB key, so prompt-injected AI output cannot forge '#' range-key segments or land on an arbitrary WO.
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cid = _comment_ids(table)[0]
_, time_part, _ = cid.split("#")
assert time_part == "2026-04-27T23:57:49+00:00" # Date header, UTC ISO
assert "23:51:48" not in cid # parsed comment_time kept out of the key
def test_ai_path_missing_date_header_falls_back_to_nocomment(fake_dynamo):
# 'Fri, 31 Dec 9999' parses but overflows on UTC conversion (OverflowError,
# not ValueError) -- _header_date_iso must swallow it, never raise.
for header in (None, "", "not a date", "Fri, 31 Dec 9999 23:59:59 -1400"):
feat: decompose email-processor handlers into flat siblings + lazy boto3 clients (refactor phase 5) (#113) Both email-processor God-handlers split along the seams that already work in the flat-sibling pattern established by lambdas/shared/, so bare-name imports keep working under the existing bundling glob. PO (5-way split): handler.py keeps only the event loop, fail-closed auth, and email_type routing. extraction.py holds extract_with_claude and _EMAIL_TAG_RE, importing EXTRACTION_PROMPT from prompts.py and parse_raw_email from shared/email_parsing.py rather than recreating a PO-local copy. enrichment.py is a pure code move of enrich_parsed and pad_zip (PO-only; WO has no enrichment stage) with zero behavior change. telemetry.py holds the EMF ParseMethod emit wrappers. persistence.py holds _write_fields/_merge_update/save_*, collapsing the byte-identical save_new_po/save_revision bodies into one _save_merge helper that both now call through, preserving the sticky Cancelled ConditionExpression guard for both callers; save_cancellation stays separate. WO (5 concerns, no enrichment stage): the handler loop keeps validate_ai_fallback and the re.fullmatch(r"[0-9]+", work_order_id) key guard ahead of both save_work_order and save_event, since the guard protects the DynamoDB partition key and the '#'-delimited comment_id range-key segment. _header_date_iso and comment_id determinism stay colocated with persistence.py's save_event for the retry-idempotent event_id key. EXTRACTION_PROMPT (PO) moves to prompts.py with cross-reference headers to derived_fields.py's authoritative trade/site/fiscal rule tables; handler.py re-exports it (from prompts import EXTRACTION_PROMPT) since four tests dereference handler.EXTRACTION_ PROMPT directly. WO's prompt moves the same way. I/O modules (extraction.py's bedrock client, persistence.py's dynamodb resource, handler.py's s3 client) get lazy cached boto3 accessors; pure modules (enrichment.py, prompts.py, telemetry.py) import no boto3. Test monkeypatch surfaces move to the module that now owns the client (e.g. persistence.dynamodb) everywhere tests patch it, and the moto-before-handler-import ordering in _po_parser_support.py is preserved so the moto-backed suites don't hit real AWS. Behavior-preservation pins, verified with tests: PO still emits ParseMethod=ai_fallback before the Bedrock call, with ai_fallback_rejected as the additive second datapoint on rejection. WO still emits after its gate with mutually-exclusive ai_fallback / ai_fallback_rejected. Shadow DerivedFieldAgreement telemetry stays ai_fallback-only. derived_fields.py is untouched (diff against feature/phase-3-shared-extraction is empty). handler(event, context) signatures and the save_* public contract are unchanged on both pipelines; goldens unchanged. PO_EXPECTED_TOP_LEVEL_MODULES and its WO equivalent in tests/test_bundle_consistency.py are updated for the new sibling modules so the AST bundle-consistency test still fails on an unshipped or uncommented-out sibling.
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persistence.save_event(
feat: template-first WO parser + Bedrock fallback, PO Bedrock switch (#99) * Add deterministic template parser for WO emails The workorder-email-processor sends every one of ~22.9k emails/month to an LLM, but ~93.6% are the plain-text "AMAZON UPDATE WO DETAILS" comment template and ~6.4% the HTML "AMAZON assign Work Order" template. Parse those two shapes deterministically, offline, so the AI call is reserved for the long tail. The module is pure (no boto3, no network). try_deterministic_parse classifies by subject, extracts the shared contract fields, and returns a result ONLY when it passes a strict fail-closed validation gate: exact contract-key set, subject/id agreement, the literal "Work Order: <id>" double space, per-type required fields, site-code shape, and a label-bleed guard so a value that over-ran into the next field fails. Any miss, drift, or extractor exception yields None so the caller falls back to the AI extractor -- data is never corrupted, only the fallback rate rises. Refs: #23 * Migrate WO processor to Bedrock and fix comment_id collision Switch the AI path from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so parsing no longer needs a provider API key or Secrets Manager secret. The EXTRACTION_PROMPT and JSON contract are kept byte-identical, so the AI-fallback output is unchanged. Try the new deterministic template parser first and only call Bedrock on a miss/invalid result. Fix issue #23: the WorkOrderComments range key was work_order_id#<comment_time>, so two emails on one WO with an identical or absent comment time collided and overwrote each other. Derive a 12-hex suffix from the S3 object key alone -- deterministic, so an async retry of the same object is byte-identical (idempotent) while distinct emails get distinct keys -- and keep wall-clock now() out of the key (literal 'nocomment' segment when comment_time is absent). Also emit one CloudWatch EMF line per record (Seahaven/WorkorderIngest ParseOutcome, dimensioned by ParseMethod/TemplateId) for parse-outcome observability, replace the deprecated datetime.utcnow() with datetime.now(timezone.utc), and drop the anthropic dependency. Refs: #23 * Migrate PO processor to Bedrock Switch the PO email processor's AI extraction from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so it no longer needs a provider API key or Secrets Manager secret. PO parsing stays fully AI -- only the provider changes. The EXTRACTION_PROMPT is kept byte-identical and the Bedrock text output is still decoded with json.loads(..., parse_float=Decimal), which DynamoDB requires (it rejects floats). Replace the deprecated datetime.utcnow() with datetime.now(timezone.utc) and drop the anthropic dependency. * Grant Bedrock IAM, drop Anthropic secrets, add fallback alarm Both stacks moved their processors from the Anthropic API to the Bedrock inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0. Grant each processor role bedrock:InvokeModel + bedrock:InvokeModelWithResponseStream on BOTH the inference-profile ARN AND the per-region foundation-model ARNs for us-east-1/us-east-2/us-west-2 (empty-account) -- the us.* profile routes cross-region, so a profile-only grant AccessDenies at runtime. Remove both anthropic-api-key Secret constructs, their grant_read, and the ANTHROPIC_API_KEY_SECRET_ARN env; add BEDROCK_MODEL_ID. The secrets had RemovalPolicy.RETAIN so they are orphaned, not deleted -- flagged in the README for manual post-deploy deletion and key revocation. Add the workorder-email-processor-template-fallback-rate alarm: a FILL(0) + >=10-sample volume-floor MathExpression over the EMF ParseOutcome metric (15-min periods) that pages when the AI-fallback share exceeds 15% sustained, catching Hexagon template drift. ALARM-only SnsAction to site-alerts, no OK action, NOT_BREACHING, matching the existing stack idiom. * Add offline WO parser test suite Cover the deterministic parser with golden-file tests over 55 real scrubbed .eml fixtures (both comment sub-shapes, username Submitted-By, address present/absent, br+CRLF assign addresses), fail-closed validation-gate rules, adversarial and prompt-injection cases that must route to ai_fallback or parse without corrupting other fields, the issue #23 comment_id idempotency invariants, and the Bedrock-fallback dispatch plus EMF-metric emission with a mocked invoke_model. Extend pytest.ini testpaths to discover the co-located suite, and update tests/conftest.load_handler to put a handler's own directory on sys.path so the WO handler's new `from template_parser import ...` resolves under the existing shared handler tests. Point test_local.py at the new template-first + Bedrock flow. Refs: #23 * Document Bedrock migration and WO parse flow in README Record the provider switch to the Bedrock inference profile (no Anthropic API key or Secrets Manager secret, with the retired secrets flagged for manual deletion), the WO deterministic-template-first + AI-fallback flow, the new ParseOutcome EMF metric and template-fallback-rate alarm, the issue #23 comment_id format change, the +00:00 aware-UTC timestamp shift, and offline test instructions. Refs: #23 * Fix f-string lint and formatting in backfill scripts Drop the f prefix from two f-strings that carry no placeholders (F541) and apply ruff format, so `ruff check` / `ruff format --check` pass in CI. * Emit ParseMethod-only EMF set so fallback alarm can fire The fallback-rate alarm queries the ParseOutcome series keyed on ParseMethod alone, but the emitter published only the joint (ParseMethod, TemplateId) dimension set. CloudWatch materializes exactly the listed dimension sets and does not auto-aggregate, so the alarm's series never received data: it evaluated a constant 0 and could never page on template-drift coverage collapse. Publish both ["ParseMethod"] and ["ParseMethod","TemplateId"] and update the EMF regression test to assert both sets are present. * Commit WO parser .eml fixtures for executable coverage The parser test suite globbed for input .eml fixtures that the repo's `*.eml` ignore rule kept uncommitted, so every parametrized golden and fail-closed test collected zero cases and CI could not exercise the deterministic parser that handles 100% of WO email volume. Add a fixtures-only negation to .gitignore and commit the 55 scrubbed positive samples (50 update-plaintext, 5 assign-html) plus 14 ai-fallback and 3 adversarial fixtures. The ai-fallback set covers each fail-closed reason code (subject_no_match, single_space_work_order, malformed_site_code, label_bleed, creation_time_unparseable, wo_id_mismatch, missing_required_field) and the adversarial set proves the parser is total and confines prompt-injection payloads to comment_text without steering the structured fields. * Fix WO parser advisories A1-A3 (PR #99 follow-ups) A1 — AI-fallback comment_id nondeterminism: parsed comment_time is model output and not stable across Lambda async retries, so on the ai_fallback path the comment_id range-key time segment now derives from the email Date header (deterministic per S3 object) instead of the model's comment_time. The template path is unchanged (its comment_time is a pure function of the raw email). Bedrock invoke pins temperature 0 so retries reproduce the same extraction. Closes the #23 reopening on the AI path. A2 — EMF record now carries the spec-required _aws.Timestamp (epoch ms) so CloudWatch reliably extracts the ParseOutcome datapoint that the fallback-rate alarm depends on. A3 — T1 New Comment capture no longer truncates at the first blank line; multi-paragraph comments are captured through internal blanks and terminate at the next label/separator. 17 golden files regenerated from the real fixtures accordingly. Hardening from the sh-security-review pass on this diff: - _header_date_iso is total: OverflowError/OSError from an extreme Date header fall back to 'nocomment' instead of failing the invocation. - _capture_block trims blanks in O(n) (no pop(0)) — removes a quadratic path on a crafted large blank run. - work_order_id is enforced digits-only on BOTH parse paths before it is used as a DynamoDB key, so prompt-injected AI output cannot forge '#' range-key segments or land on an arbitrary WO.
2026-07-16 12:45:11 -04:00
_parsed(),
"s3://bucket/inbound/obj-h",
"inbound/obj-h",
"ai_fallback",
header,
)
feat: decompose email-processor handlers into flat siblings + lazy boto3 clients (refactor phase 5) (#113) Both email-processor God-handlers split along the seams that already work in the flat-sibling pattern established by lambdas/shared/, so bare-name imports keep working under the existing bundling glob. PO (5-way split): handler.py keeps only the event loop, fail-closed auth, and email_type routing. extraction.py holds extract_with_claude and _EMAIL_TAG_RE, importing EXTRACTION_PROMPT from prompts.py and parse_raw_email from shared/email_parsing.py rather than recreating a PO-local copy. enrichment.py is a pure code move of enrich_parsed and pad_zip (PO-only; WO has no enrichment stage) with zero behavior change. telemetry.py holds the EMF ParseMethod emit wrappers. persistence.py holds _write_fields/_merge_update/save_*, collapsing the byte-identical save_new_po/save_revision bodies into one _save_merge helper that both now call through, preserving the sticky Cancelled ConditionExpression guard for both callers; save_cancellation stays separate. WO (5 concerns, no enrichment stage): the handler loop keeps validate_ai_fallback and the re.fullmatch(r"[0-9]+", work_order_id) key guard ahead of both save_work_order and save_event, since the guard protects the DynamoDB partition key and the '#'-delimited comment_id range-key segment. _header_date_iso and comment_id determinism stay colocated with persistence.py's save_event for the retry-idempotent event_id key. EXTRACTION_PROMPT (PO) moves to prompts.py with cross-reference headers to derived_fields.py's authoritative trade/site/fiscal rule tables; handler.py re-exports it (from prompts import EXTRACTION_PROMPT) since four tests dereference handler.EXTRACTION_ PROMPT directly. WO's prompt moves the same way. I/O modules (extraction.py's bedrock client, persistence.py's dynamodb resource, handler.py's s3 client) get lazy cached boto3 accessors; pure modules (enrichment.py, prompts.py, telemetry.py) import no boto3. Test monkeypatch surfaces move to the module that now owns the client (e.g. persistence.dynamodb) everywhere tests patch it, and the moto-before-handler-import ordering in _po_parser_support.py is preserved so the moto-backed suites don't hit real AWS. Behavior-preservation pins, verified with tests: PO still emits ParseMethod=ai_fallback before the Bedrock call, with ai_fallback_rejected as the additive second datapoint on rejection. WO still emits after its gate with mutually-exclusive ai_fallback / ai_fallback_rejected. Shadow DerivedFieldAgreement telemetry stays ai_fallback-only. derived_fields.py is untouched (diff against feature/phase-3-shared-extraction is empty). handler(event, context) signatures and the save_* public contract are unchanged on both pipelines; goldens unchanged. PO_EXPECTED_TOP_LEVEL_MODULES and its WO equivalent in tests/test_bundle_consistency.py are updated for the new sibling modules so the AST bundle-consistency test still fails on an unshipped or uncommented-out sibling.
2026-07-20 15:34:53 -04:00
table = fake_dynamo.tables[persistence.COMMENTS_TABLE]
feat: template-first WO parser + Bedrock fallback, PO Bedrock switch (#99) * Add deterministic template parser for WO emails The workorder-email-processor sends every one of ~22.9k emails/month to an LLM, but ~93.6% are the plain-text "AMAZON UPDATE WO DETAILS" comment template and ~6.4% the HTML "AMAZON assign Work Order" template. Parse those two shapes deterministically, offline, so the AI call is reserved for the long tail. The module is pure (no boto3, no network). try_deterministic_parse classifies by subject, extracts the shared contract fields, and returns a result ONLY when it passes a strict fail-closed validation gate: exact contract-key set, subject/id agreement, the literal "Work Order: <id>" double space, per-type required fields, site-code shape, and a label-bleed guard so a value that over-ran into the next field fails. Any miss, drift, or extractor exception yields None so the caller falls back to the AI extractor -- data is never corrupted, only the fallback rate rises. Refs: #23 * Migrate WO processor to Bedrock and fix comment_id collision Switch the AI path from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so parsing no longer needs a provider API key or Secrets Manager secret. The EXTRACTION_PROMPT and JSON contract are kept byte-identical, so the AI-fallback output is unchanged. Try the new deterministic template parser first and only call Bedrock on a miss/invalid result. Fix issue #23: the WorkOrderComments range key was work_order_id#<comment_time>, so two emails on one WO with an identical or absent comment time collided and overwrote each other. Derive a 12-hex suffix from the S3 object key alone -- deterministic, so an async retry of the same object is byte-identical (idempotent) while distinct emails get distinct keys -- and keep wall-clock now() out of the key (literal 'nocomment' segment when comment_time is absent). Also emit one CloudWatch EMF line per record (Seahaven/WorkorderIngest ParseOutcome, dimensioned by ParseMethod/TemplateId) for parse-outcome observability, replace the deprecated datetime.utcnow() with datetime.now(timezone.utc), and drop the anthropic dependency. Refs: #23 * Migrate PO processor to Bedrock Switch the PO email processor's AI extraction from the Anthropic SDK to bedrock-runtime InvokeModel on the inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0 (BEDROCK_MODEL_ID env), so it no longer needs a provider API key or Secrets Manager secret. PO parsing stays fully AI -- only the provider changes. The EXTRACTION_PROMPT is kept byte-identical and the Bedrock text output is still decoded with json.loads(..., parse_float=Decimal), which DynamoDB requires (it rejects floats). Replace the deprecated datetime.utcnow() with datetime.now(timezone.utc) and drop the anthropic dependency. * Grant Bedrock IAM, drop Anthropic secrets, add fallback alarm Both stacks moved their processors from the Anthropic API to the Bedrock inference profile us.anthropic.claude-haiku-4-5-20251001-v1:0. Grant each processor role bedrock:InvokeModel + bedrock:InvokeModelWithResponseStream on BOTH the inference-profile ARN AND the per-region foundation-model ARNs for us-east-1/us-east-2/us-west-2 (empty-account) -- the us.* profile routes cross-region, so a profile-only grant AccessDenies at runtime. Remove both anthropic-api-key Secret constructs, their grant_read, and the ANTHROPIC_API_KEY_SECRET_ARN env; add BEDROCK_MODEL_ID. The secrets had RemovalPolicy.RETAIN so they are orphaned, not deleted -- flagged in the README for manual post-deploy deletion and key revocation. Add the workorder-email-processor-template-fallback-rate alarm: a FILL(0) + >=10-sample volume-floor MathExpression over the EMF ParseOutcome metric (15-min periods) that pages when the AI-fallback share exceeds 15% sustained, catching Hexagon template drift. ALARM-only SnsAction to site-alerts, no OK action, NOT_BREACHING, matching the existing stack idiom. * Add offline WO parser test suite Cover the deterministic parser with golden-file tests over 55 real scrubbed .eml fixtures (both comment sub-shapes, username Submitted-By, address present/absent, br+CRLF assign addresses), fail-closed validation-gate rules, adversarial and prompt-injection cases that must route to ai_fallback or parse without corrupting other fields, the issue #23 comment_id idempotency invariants, and the Bedrock-fallback dispatch plus EMF-metric emission with a mocked invoke_model. Extend pytest.ini testpaths to discover the co-located suite, and update tests/conftest.load_handler to put a handler's own directory on sys.path so the WO handler's new `from template_parser import ...` resolves under the existing shared handler tests. Point test_local.py at the new template-first + Bedrock flow. Refs: #23 * Document Bedrock migration and WO parse flow in README Record the provider switch to the Bedrock inference profile (no Anthropic API key or Secrets Manager secret, with the retired secrets flagged for manual deletion), the WO deterministic-template-first + AI-fallback flow, the new ParseOutcome EMF metric and template-fallback-rate alarm, the issue #23 comment_id format change, the +00:00 aware-UTC timestamp shift, and offline test instructions. Refs: #23 * Fix f-string lint and formatting in backfill scripts Drop the f prefix from two f-strings that carry no placeholders (F541) and apply ruff format, so `ruff check` / `ruff format --check` pass in CI. * Emit ParseMethod-only EMF set so fallback alarm can fire The fallback-rate alarm queries the ParseOutcome series keyed on ParseMethod alone, but the emitter published only the joint (ParseMethod, TemplateId) dimension set. CloudWatch materializes exactly the listed dimension sets and does not auto-aggregate, so the alarm's series never received data: it evaluated a constant 0 and could never page on template-drift coverage collapse. Publish both ["ParseMethod"] and ["ParseMethod","TemplateId"] and update the EMF regression test to assert both sets are present. * Commit WO parser .eml fixtures for executable coverage The parser test suite globbed for input .eml fixtures that the repo's `*.eml` ignore rule kept uncommitted, so every parametrized golden and fail-closed test collected zero cases and CI could not exercise the deterministic parser that handles 100% of WO email volume. Add a fixtures-only negation to .gitignore and commit the 55 scrubbed positive samples (50 update-plaintext, 5 assign-html) plus 14 ai-fallback and 3 adversarial fixtures. The ai-fallback set covers each fail-closed reason code (subject_no_match, single_space_work_order, malformed_site_code, label_bleed, creation_time_unparseable, wo_id_mismatch, missing_required_field) and the adversarial set proves the parser is total and confines prompt-injection payloads to comment_text without steering the structured fields. * Fix WO parser advisories A1-A3 (PR #99 follow-ups) A1 — AI-fallback comment_id nondeterminism: parsed comment_time is model output and not stable across Lambda async retries, so on the ai_fallback path the comment_id range-key time segment now derives from the email Date header (deterministic per S3 object) instead of the model's comment_time. The template path is unchanged (its comment_time is a pure function of the raw email). Bedrock invoke pins temperature 0 so retries reproduce the same extraction. Closes the #23 reopening on the AI path. A2 — EMF record now carries the spec-required _aws.Timestamp (epoch ms) so CloudWatch reliably extracts the ParseOutcome datapoint that the fallback-rate alarm depends on. A3 — T1 New Comment capture no longer truncates at the first blank line; multi-paragraph comments are captured through internal blanks and terminate at the next label/separator. 17 golden files regenerated from the real fixtures accordingly. Hardening from the sh-security-review pass on this diff: - _header_date_iso is total: OverflowError/OSError from an extreme Date header fall back to 'nocomment' instead of failing the invocation. - _capture_block trims blanks in O(n) (no pop(0)) — removes a quadratic path on a crafted large blank run. - work_order_id is enforced digits-only on BOTH parse paths before it is used as a DynamoDB key, so prompt-injected AI output cannot forge '#' range-key segments or land on an arbitrary WO.
2026-07-16 12:45:11 -04:00
ids = _comment_ids(table)
assert all("#nocomment#" in cid for cid in ids)
assert len(set(ids)) == 1 # stable regardless of header garbage