From 889901b8fe2ccb680cee4be50d02b75c2df48ed6 Mon Sep 17 00:00:00 2001 From: Basuru Balasuriya Date: Tue, 22 Sep 2026 22:45:00 +0530 Subject: [PATCH 01/23] feat: update dependencies and enhance type checking for llama-index - Added new dependencies: `llama-index-core`, `llama-index-llms-openai-like`, and `openai` to support enhanced functionality. - Updated mypy type checking configuration to include `llama_index.llms.openai_like.*`, improving type safety and code quality. These changes aim to expand the capabilities of the project while ensuring better type checking for new components. --- services/nuron-ai/pyproject.toml | 5 +- services/nuron-ai/uv.lock | 1135 ++++++++++++++++++++++++++++++ 2 files changed, 1139 insertions(+), 1 deletion(-) diff --git a/services/nuron-ai/pyproject.toml b/services/nuron-ai/pyproject.toml index fa95b45..81cea70 100644 --- a/services/nuron-ai/pyproject.toml +++ b/services/nuron-ai/pyproject.toml @@ -11,6 +11,9 @@ dependencies = [ "defusedxml>=0.7.1", "fsspec>=2026.7.0", "llama-cloud>=1.0", + "llama-index-core==0.14.23", + "llama-index-llms-openai-like>=0.8.0", + "openai>=2.54.0", "psycopg[binary]>=3.3.5", "s3fs>=2026.7.0", ] @@ -27,7 +30,7 @@ dev = [ [[tool.mypy.overrides]] # These libraries ship no py.typed marker; nothing to check against. -module = ["defusedxml.*", "fsspec.*"] +module = ["defusedxml.*", "fsspec.*", "llama_index.llms.openai_like.*"] ignore_missing_imports = true diff --git a/services/nuron-ai/uv.lock 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Subject: [PATCH 02/23] fix: restrict openai dependency version to avoid breaking changes - Updated the `openai` dependency in `pyproject.toml` and `uv.lock` to specify a version constraint of `<3`, ensuring compatibility and preventing potential issues with future major releases. This change aims to maintain stability in the project by avoiding breaking changes from the `openai` library. --- services/nuron-ai/pyproject.toml | 2 +- services/nuron-ai/uv.lock | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/services/nuron-ai/pyproject.toml b/services/nuron-ai/pyproject.toml index 81cea70..6b519ae 100644 --- a/services/nuron-ai/pyproject.toml +++ b/services/nuron-ai/pyproject.toml @@ -13,7 +13,7 @@ dependencies = [ "llama-cloud>=1.0", "llama-index-core==0.14.23", "llama-index-llms-openai-like>=0.8.0", - "openai>=2.54.0", + "openai>=2.54.0,<3", "psycopg[binary]>=3.3.5", "s3fs>=2026.7.0", ] diff --git a/services/nuron-ai/uv.lock b/services/nuron-ai/uv.lock index af3075b..1d6767a 100644 --- a/services/nuron-ai/uv.lock +++ b/services/nuron-ai/uv.lock @@ -1483,7 +1483,7 @@ requires-dist = [ { name = "llama-cloud", specifier = ">=1.0" }, { name = "llama-index-core", specifier = "==0.14.23" }, { name = "llama-index-llms-openai-like", specifier = ">=0.8.0" }, - { name = "openai", specifier = ">=2.54.0" }, + { name = "openai", specifier = ">=2.54.0,<3" }, { name = "psycopg", extras = ["binary"], specifier = ">=3.3.5" }, { name = "s3fs", specifier = ">=2026.7.0" }, ] From ae4ca05ec345cef510584c9cc430a071acd00d62 Mon Sep 17 00:00:00 2001 From: Basuru Balasuriya Date: Tue, 22 Sep 2026 23:03:47 +0530 Subject: [PATCH 03/23] feat: enhance documents schema and add compiler tests - Added a new column `compiled_graph` to the `documents` table in the schema to store enriched typed triples generated by the compiler. - Included a detailed comment on the `compiled_graph` column to clarify its purpose and structure. - Introduced a new test file `test_compiler.py` with comprehensive tests for the compiler functionality, ensuring proper enrichment and serialization of nodes and relations. - Enhanced existing tests in `test_db.py` to improve error handling during database operations. These changes aim to expand the schema capabilities and strengthen the testing framework for the compiler functionality. --- schema/schema.sql | 6 + services/nuron-ai/tests/test_compiler.py | 139 +++++++++++++++++++++++ services/nuron-ai/tests/test_db.py | 25 ++++ 3 files changed, 170 insertions(+) create mode 100644 services/nuron-ai/tests/test_compiler.py diff --git a/schema/schema.sql b/schema/schema.sql index fbf9720..c22a465 100644 --- a/schema/schema.sql +++ b/schema/schema.sql @@ -98,6 +98,10 @@ CREATE TABLE nuron_ai.documents ( tags TEXT[] NOT NULL DEFAULT '{}', body TEXT, + -- Enriched typed triples (nodes/relations/decisions[]) filled by the Compiler on + -- content_approved -> compiled (NU-008). Consumed, not recomputed, by NU-009's persist step. + compiled_graph JSONB, + created_at TIMESTAMPTZ NOT NULL DEFAULT now() ); @@ -107,6 +111,8 @@ COMMENT ON COLUMN nuron_ai.documents.content_hash IS 'sha256(bytes), hex-encoded. Document identity and the RustFS object key {hash[0:2]}/{hash} (ADR-0005) -- never a UUID.'; COMMENT ON COLUMN nuron_ai.documents.lease_token IS 'Incremented on every claim. The state-transition UPDATE is conditioned on (claimed_by, lease_token) so a reclaimed lease cannot advance the row out from under its new holder.'; +COMMENT ON COLUMN nuron_ai.documents.compiled_graph IS + 'Compiler output: {"nodes": [...], "relations": [...], "decisions": [node_key, ...]}, each node/relation carrying its enrichment (author/author_source/timestamp on Decision nodes, evidence_span on Evidence nodes, a provenance ref on every node).'; -- Immutable, versioned snapshot frozen at review-gate-1 approval. This, not the raw -- file, is the Evidence root that evidence_span offsets resolve into (CONTEXT.md). diff --git a/services/nuron-ai/tests/test_compiler.py b/services/nuron-ai/tests/test_compiler.py new file mode 100644 index 0000000..bcc537e --- /dev/null +++ b/services/nuron-ai/tests/test_compiler.py @@ -0,0 +1,139 @@ +test_compiler.py 426L cognitive +// /Users/basuruk/Dev/Nuron/Nuron/services/nuron-ai/tests/test_compiler.py +§ block block (L1-L24) +"""Tests for compiler.py: content_approved -> compiled, typed triples with provenance (NU-008).""" + +import os +import uuid +from collections.abc import Iterator, Sequence +from datetime import date +from typing import Any +from unittest.mock import MagicMock + +import psycopg +import pytest +from llama_index.core.graph_stores.types import KG_NODES_KEY, KG_RELATIONS_KEY, EntityNode, Relation +from llama_index.core.schema import BaseNode + +from nuron_ai import compiler, db +from nuron_ai.compiler import ( + check_structured_output, + compile_graph, + compile_pending, + enrich_and_serialize, +) +from nuron_ai.core import content_hash + + +§ type _StubExtractor (L25-L27) +class _StubExtractor: + """A GraphExtractor stand-in returning canned nodes/relations -- no LLM involved.""" + +§ function __init__ (L28-L37) + def __init__( + self, + nodes: list[EntityNode] | None = None, + relations: list[Relation] | None = None, + *, + raises: Exception | None = None, + ) -> None: + self._nodes = nodes or [] + self._relations = relations or [] + self._raises = raises +// ... 1 lines omitted +§ function __call__(self (L39-L45) + def __call__(self, nodes: Sequence[BaseNode], **kwargs: Any) -> list[BaseNode]: + if self._raises is not None: + raise self._raises + [node] = nodes + node.metadata[KG_NODES_KEY] = self._nodes + node.metadata[KG_RELATIONS_KEY] = self._relations + return [node] +§ comment comment (L46-L50) + + +# -- enrich_and_serialize: pure logic, no LLM or DB ------------------------------- + + +§ test test_enrich_stamps_author_author_source_timestamp_and_lists_decision_in_decisions (L51-L69) +def test_enrich_stamps_author_author_source_timestamp_and_lists_decision_in_decisions() -> None: + decision = EntityNode(label="DECISION", name="drop session store") + + compiled = enrich_and_serialize( + [decision], + [], + content_hash="a" * 64, + reviewed_source_id=1, + author="Basuru", + author_source="extracted", + document_date=date(2026, 5, 14), + body="irrelevant", + ) + + [node] = compiled["nodes"] + assert node["properties"]["author"] == "Basuru" + assert node["properties"]["author_source"] == "extracted" + assert node["properties"]["timestamp"] == "2026-05-14" + assert compiled["decisions"] == [node["key"]] +// ... 2 lines omitted +§ test test_enrich_stamps_provenance_on_every_node_regardless_of_label (L72-L91) +def test_enrich_stamps_provenance_on_every_node_regardless_of_label() -> None: + decision = EntityNode(label="DECISION", name="drop session store") + entity = EntityNode(label="ENTITY", name="rate limiter") + + compiled = enrich_and_serialize( + [decision, entity], + [], + content_hash="b" * 64, + reviewed_source_id=7, + author=None, + author_source=None, + document_date=None, + body="irrelevant", + ) + + for node in compiled["nodes"]: + assert node["properties"]["provenance"] == {"content_hash": "b" * 64, "reviewed_source_id": 7} + # only the DECISION node gets author/timestamp fields + entity_node = next(n for n in compiled["nodes"] if n["label"] == "ENTITY") + assert "author" not in entity_node["properties"] +// ... 2 lines omitted +§ test test_enrich_computes_evidence_span_when_evidence_text_found_in_body (L94-L111) +def test_enrich_computes_evidence_span_when_evidence_text_found_in_body() -> None: + body = "Basuru decided to drop the session store. Signed off in the auth review." + evidence = EntityNode(label="EVIDENCE", name="Signed off in the auth review.") + + compiled = enrich_and_serialize( + [evidence], + [], + content_hash="c" * 64, + reviewed_source_id=1, + author=None, + author_source=None, + document_date=None, + body=body, + ) + + [node] = compiled["nodes"] + start = body.index(evidence.name) + assert node["properties"]["evidence_span"] == [start, start + len(evidence.name)] +// ... 2 lines omitted +§ test test_enrich_omits_evidence_span_when_evidence_text_not_found_in_body (L114-L129) +def test_enrich_omits_evidence_span_when_evidence_text_not_found_in_body() -> None: + evidence = EntityNode(label="EVIDENCE", name="text that never appears verbatim") + + compiled = enrich_and_serialize( + [evidence], + [], + content_hash="d" * 64, + reviewed_source_id=1, + author=None, + author_source=None, + document_date=None, + body="completely unrelated body text", + ) + + [node] = compiled["nodes"] + assert "evidence_span" not in node["properties"] +9/30 chunks shown (966 tokens) +[lean-ctx] full source: read "/Users/basuruk/Dev/Nuron/Nuron/services/nuron-ai/tests/test_compiler.py" directly (no MCP) · or ctx_read("/Users/basuruk/Dev/Nuron/Nuron/services/nuron-ai/tests/test_compiler.py", mode="full") diff --git a/services/nuron-ai/tests/test_db.py b/services/nuron-ai/tests/test_db.py index 22fac46..ac772e7 100644 --- a/services/nuron-ai/tests/test_db.py +++ b/services/nuron-ai/tests/test_db.py @@ -2,6 +2,7 @@ import psycopg import pytest +from psycopg import sql from nuron_ai import db @@ -24,3 +25,27 @@ def test_claim_rolls_back_database_error_before_reraising() -> None: db.claim(conn, "worker-1", "not-a-state", lease_seconds=60.0) conn.rollback.assert_called_once_with() + + +def test_release_rolls_back_database_error_before_reraising() -> None: + conn = MagicMock(spec=psycopg.Connection) + conn.execute.side_effect = psycopg.DataError("bad graph") + + with pytest.raises(psycopg.DataError, match="bad graph"): + db.release(conn, "abc", "worker-1", 1, sql.SQL("state = 'compiled'"), {}) + + conn.rollback.assert_called_once_with() + conn.commit.assert_not_called() + + +def test_release_attaches_rollback_failure_to_original_database_error() -> None: + conn = MagicMock(spec=psycopg.Connection) + conn.execute.side_effect = psycopg.DataError("bad graph") + conn.rollback.side_effect = psycopg.OperationalError("connection closed") + + with pytest.raises(psycopg.DataError, match="bad graph") as raised: + db.release(conn, "abc", "worker-1", 1, sql.SQL("state = 'compiled'"), {}) + + assert raised.value.__notes__ == [ + "rollback after release failure also failed: OperationalError: connection closed", + ] From aab25e3c416c9509caaec904565f0197569e2cd5 Mon Sep 17 00:00:00 2001 From: Basuru Balasuriya Date: Tue, 22 Sep 2026 23:08:36 +0530 Subject: [PATCH 04/23] test: add new tests for error handling in extraction process - Introduced tests to verify rollback behavior during database errors in the `extract_pending` function, ensuring that errors are properly raised and context is preserved. - Enhanced existing tests to cover scenarios where release rollback fails, improving the robustness of error handling in the extraction workflow. These additions aim to strengthen the reliability of the extraction process by ensuring comprehensive error management and testing. --- services/nuron-ai/tests/test_compiler.py | 376 ++++++++++++++++++++- services/nuron-ai/tests/test_extraction.py | 44 +++ 2 files changed, 403 insertions(+), 17 deletions(-) diff --git a/services/nuron-ai/tests/test_compiler.py b/services/nuron-ai/tests/test_compiler.py index bcc537e..f523513 100644 --- a/services/nuron-ai/tests/test_compiler.py +++ b/services/nuron-ai/tests/test_compiler.py @@ -1,6 +1,3 @@ -test_compiler.py 426L cognitive -// /Users/basuruk/Dev/Nuron/Nuron/services/nuron-ai/tests/test_compiler.py -§ block block (L1-L24) """Tests for compiler.py: content_approved -> compiled, typed triples with provenance (NU-008).""" import os @@ -25,11 +22,9 @@ from nuron_ai.core import content_hash -§ type _StubExtractor (L25-L27) class _StubExtractor: """A GraphExtractor stand-in returning canned nodes/relations -- no LLM involved.""" -§ function __init__ (L28-L37) def __init__( self, nodes: list[EntityNode] | None = None, @@ -40,8 +35,7 @@ def __init__( self._nodes = nodes or [] self._relations = relations or [] self._raises = raises -// ... 1 lines omitted -§ function __call__(self (L39-L45) + def __call__(self, nodes: Sequence[BaseNode], **kwargs: Any) -> list[BaseNode]: if self._raises is not None: raise self._raises @@ -49,13 +43,11 @@ def __call__(self, nodes: Sequence[BaseNode], **kwargs: Any) -> list[BaseNode]: node.metadata[KG_NODES_KEY] = self._nodes node.metadata[KG_RELATIONS_KEY] = self._relations return [node] -§ comment comment (L46-L50) # -- enrich_and_serialize: pure logic, no LLM or DB ------------------------------- -§ test test_enrich_stamps_author_author_source_timestamp_and_lists_decision_in_decisions (L51-L69) def test_enrich_stamps_author_author_source_timestamp_and_lists_decision_in_decisions() -> None: decision = EntityNode(label="DECISION", name="drop session store") @@ -75,8 +67,8 @@ def test_enrich_stamps_author_author_source_timestamp_and_lists_decision_in_deci assert node["properties"]["author_source"] == "extracted" assert node["properties"]["timestamp"] == "2026-05-14" assert compiled["decisions"] == [node["key"]] -// ... 2 lines omitted -§ test test_enrich_stamps_provenance_on_every_node_regardless_of_label (L72-L91) + + def test_enrich_stamps_provenance_on_every_node_regardless_of_label() -> None: decision = EntityNode(label="DECISION", name="drop session store") entity = EntityNode(label="ENTITY", name="rate limiter") @@ -97,8 +89,8 @@ def test_enrich_stamps_provenance_on_every_node_regardless_of_label() -> None: # only the DECISION node gets author/timestamp fields entity_node = next(n for n in compiled["nodes"] if n["label"] == "ENTITY") assert "author" not in entity_node["properties"] -// ... 2 lines omitted -§ test test_enrich_computes_evidence_span_when_evidence_text_found_in_body (L94-L111) + + def test_enrich_computes_evidence_span_when_evidence_text_found_in_body() -> None: body = "Basuru decided to drop the session store. Signed off in the auth review." evidence = EntityNode(label="EVIDENCE", name="Signed off in the auth review.") @@ -117,8 +109,8 @@ def test_enrich_computes_evidence_span_when_evidence_text_found_in_body() -> Non [node] = compiled["nodes"] start = body.index(evidence.name) assert node["properties"]["evidence_span"] == [start, start + len(evidence.name)] -// ... 2 lines omitted -§ test test_enrich_omits_evidence_span_when_evidence_text_not_found_in_body (L114-L129) + + def test_enrich_omits_evidence_span_when_evidence_text_not_found_in_body() -> None: evidence = EntityNode(label="EVIDENCE", name="text that never appears verbatim") @@ -135,5 +127,355 @@ def test_enrich_omits_evidence_span_when_evidence_text_not_found_in_body() -> No [node] = compiled["nodes"] assert "evidence_span" not in node["properties"] -9/30 chunks shown (966 tokens) -[lean-ctx] full source: read "/Users/basuruk/Dev/Nuron/Nuron/services/nuron-ai/tests/test_compiler.py" directly (no MCP) · or ctx_read("/Users/basuruk/Dev/Nuron/Nuron/services/nuron-ai/tests/test_compiler.py", mode="full") + + +def test_enrich_dedupes_the_same_entity_appearing_in_multiple_triplets() -> None: + # SchemaLLMPathExtractor appends one EntityNode per triplet it participates in. + session_store_a = EntityNode(label="ENTITY", name="session store") + session_store_b = EntityNode(label="ENTITY", name="session store") + rate_limiter = EntityNode(label="ENTITY", name="rate limiter") + + compiled = enrich_and_serialize( + [session_store_a, rate_limiter, session_store_b], + [], + content_hash="e" * 64, + reviewed_source_id=1, + author=None, + author_source=None, + document_date=None, + body="irrelevant", + ) + + keys = [node["key"] for node in compiled["nodes"]] + assert sorted(keys) == sorted({"session store:ENTITY", "rate limiter:ENTITY"}) + + +def test_enrich_resolves_relations_to_natural_keys_and_dedupes_duplicates() -> None: + decision = EntityNode(label="DECISION", name="drop session store") + entity = EntityNode(label="ENTITY", name="rate limiter") + relation = Relation(label="AFFECTS", source_id=decision.id, target_id=entity.id) + duplicate = Relation(label="AFFECTS", source_id=decision.id, target_id=entity.id) + + compiled = enrich_and_serialize( + [decision, entity], + [relation, duplicate], + content_hash="f" * 64, + reviewed_source_id=1, + author=None, + author_source=None, + document_date=None, + body="irrelevant", + ) + + assert compiled["relations"] == [ + { + "label": "AFFECTS", + "source_key": "drop session store:DECISION", + "target_key": "rate limiter:ENTITY", + "properties": {}, + } + ] + + +# -- compile_graph: wires body/provenance through a stub extractor --------------- + + +def test_compile_graph_enriches_the_extractors_output() -> None: + decision = EntityNode(label="DECISION", name="drop session store") + extractor = _StubExtractor(nodes=[decision]) + + compiled = compile_graph( + extractor, + body="Basuru decided to drop the session store.", + content_hash="a" * 64, + reviewed_source_id=3, + author="Basuru", + author_source="extracted", + document_date=date(2026, 5, 14), + ) + + [node] = compiled["nodes"] + assert node["properties"]["provenance"] == {"content_hash": "a" * 64, "reviewed_source_id": 3} + assert compiled["decisions"] == ["drop session store:DECISION"] + + +def test_compile_graph_warns_when_a_decision_has_no_evidenced_by_relation( + caplog: pytest.LogCaptureFixture, +) -> None: + decision = EntityNode(label="DECISION", name="drop session store") + extractor = _StubExtractor(nodes=[decision]) + + with caplog.at_level("WARNING"): + compile_graph( + extractor, + body="irrelevant", + content_hash="a" * 64, + reviewed_source_id=1, + author=None, + author_source=None, + document_date=None, + ) + + assert "no EVIDENCED_BY relation" in caplog.text + + +def test_compile_graph_does_not_warn_when_a_decision_has_an_evidenced_by_relation( + caplog: pytest.LogCaptureFixture, +) -> None: + decision = EntityNode(label="DECISION", name="drop session store") + evidence = EntityNode(label="EVIDENCE", name="signed off in the auth review") + relation = Relation(label="EVIDENCED_BY", source_id=decision.id, target_id=evidence.id) + extractor = _StubExtractor(nodes=[decision, evidence], relations=[relation]) + + with caplog.at_level("WARNING"): + compile_graph( + extractor, + body="irrelevant", + content_hash="a" * 64, + reviewed_source_id=1, + author=None, + author_source=None, + document_date=None, + ) + + assert "no EVIDENCED_BY relation" not in caplog.text + + +# -- check_structured_output ------------------------------------------------------ + + +def test_check_structured_output_passes_when_the_extractor_returns_entities() -> None: + extractor = _StubExtractor(nodes=[EntityNode(label="DECISION", name="drop session store")]) + check_structured_output(extractor) # no raise + + +def test_check_structured_output_raises_when_the_extractor_returns_no_entities() -> None: + extractor = _StubExtractor(nodes=[]) + with pytest.raises(RuntimeError, match="structured output check failed"): + check_structured_output(extractor) + + +def test_check_structured_output_raises_when_the_extractor_itself_raises() -> None: + extractor = _StubExtractor(raises=ConnectionError("endpoint unreachable")) + with pytest.raises(RuntimeError, match="structured output check failed") as raised: + check_structured_output(extractor) + assert isinstance(raised.value.__cause__, ConnectionError) + + +# -- compile_pending: claim / release semantics, mocked Postgres ----------------- + + +def _claimed_row( + filename: str, + body: str, + *, + author: str | None = None, + author_source: str | None = None, + document_date: date | None = None, +) -> tuple[Any, ...]: + """A db.claim RETURNING tuple: hash, filename, title, author, author_source, date, tags, body, lease_token.""" + return ("a" * 64, filename, None, author, author_source, document_date, [], body, 3) + + +def test_compile_pending_returns_false_when_the_queue_is_empty() -> None: + conn = MagicMock(spec=psycopg.Connection) + conn.execute.return_value.fetchone.return_value = None + + assert compile_pending(conn, _StubExtractor(), "worker-1") is False + + +def test_compile_pending_writes_the_compiled_graph_and_transitions_state() -> None: + conn = MagicMock(spec=psycopg.Connection) + conn.execute.return_value.fetchone.side_effect = [ + _claimed_row("decision.md", "# Decision\n", author="Basuru", author_source="extracted"), + (7,), + ] + conn.execute.return_value.rowcount = 1 + decision = EntityNode(label="DECISION", name="drop session store") + extractor = _StubExtractor(nodes=[decision]) + + claimed = compile_pending(conn, extractor, "worker-1") + + assert claimed is True + release_call = conn.execute.call_args_list[-1] + assert "state = 'compiled'" in str(release_call.args[0]) + compiled_graph = release_call.args[1]["compiled_graph"].obj + assert compiled_graph["decisions"] == ["drop session store:DECISION"] + assert compiled_graph["nodes"][0]["properties"]["provenance"] == { + "content_hash": "a" * 64, + "reviewed_source_id": 7, + } + + +def test_compile_pending_retries_when_the_extractor_fails() -> None: + conn = MagicMock(spec=psycopg.Connection) + conn.execute.return_value.fetchone.side_effect = [ + _claimed_row("decision.md", "# Decision\n"), + (7,), + ] + conn.execute.return_value.rowcount = 1 + extractor = _StubExtractor(raises=ConnectionError("endpoint unreachable")) + + claimed = compile_pending(conn, extractor, "worker-1") + + assert claimed is True + retry_call = conn.execute.call_args_list[-1] + assert "attempt_count = attempt_count + 1" in str(retry_call.args[0]) + + +def test_compile_pending_raises_when_the_reviewed_source_row_is_missing() -> None: + conn = MagicMock(spec=psycopg.Connection) + conn.execute.return_value.fetchone.side_effect = [ + _claimed_row("decision.md", "# Decision\n"), + None, + ] + conn.execute.return_value.rowcount = 1 + + with pytest.raises(RuntimeError, match="should be impossible"): + compile_pending(conn, _StubExtractor(), "worker-1") + + retry_call = conn.execute.call_args_list[-1] + assert "attempt_count = attempt_count + 1" in str(retry_call.args[0]) + assert retry_call.args[1]["retry_delay_seconds"] == compiler._RETRY_DELAY_SECONDS + assert retry_call.args[1]["max_attempts"] == compiler._MAX_ATTEMPTS + assert retry_call.args[1]["content_hash"] == "a" * 64 + assert retry_call.args[1]["worker_id"] == "worker-1" + assert retry_call.args[1]["lease_token"] == 3 + + +def test_main_reuses_one_connection_across_idle_polls_and_reconnects_after_failure( + monkeypatch: pytest.MonkeyPatch, +) -> None: + class _Connection: + def __init__(self) -> None: + self.closed = False + + def __enter__(self) -> "_Connection": + return self + + def __exit__(self, *_exc: object) -> None: + self.closed = True + + opened: list[_Connection] = [] + seen: list[_Connection] = [] + outcomes: list[bool | Exception] = [True, False, RuntimeError("boom"), False] + sleep_delays: list[float] = [] + + def connect() -> _Connection: + if opened: + assert opened[-1].closed + conn = _Connection() + opened.append(conn) + return conn + + def run_compile(conn: _Connection, _kg_extractor: object, _worker_id: str) -> bool: + seen.append(conn) + outcome = outcomes.pop(0) + if isinstance(outcome, Exception): + raise outcome + return outcome + + def sleep(seconds: float) -> None: + sleep_delays.append(seconds) + if len(sleep_delays) == 3: + raise KeyboardInterrupt + + monkeypatch.setattr(compiler, "build_kg_extractor", lambda: object()) + monkeypatch.setattr(compiler, "check_structured_output", lambda _extractor: None) + monkeypatch.setattr(compiler.db, "from_env", connect) + monkeypatch.setattr(compiler, "compile_pending", run_compile) + monkeypatch.setattr(compiler.time, "sleep", sleep) + + with pytest.raises(KeyboardInterrupt): + compiler.main() + + assert len(opened) == 2 + assert seen == [opened[0], opened[0], opened[0], opened[1]] + assert sleep_delays == [ + compiler._POLL_DELAY_SECONDS, + compiler._RETRY_DELAY_SECONDS, + compiler._POLL_DELAY_SECONDS, + ] + assert all(conn.closed for conn in opened) + + +# -- compile_pending: real Postgres, gated behind infra -------------------------- + + +@pytest.fixture +def db_conn() -> Iterator[psycopg.Connection]: + if not os.environ.get("POSTGRES_INTEGRATION_TESTS"): + pytest.skip("POSTGRES_INTEGRATION_TESTS not set -- skipping Postgres integration tests") + conn = db.from_env() + try: + yield conn + finally: + conn.close() + + +def _content_approved( + conn: psycopg.Connection, + body: str, + filename: str, + *, + author: str | None = None, + author_source: str | None = None, + document_date: date | None = None, +) -> tuple[str, int]: + """Lands one row directly at content_approved with a matching reviewed_sources row.""" + digest = content_hash(body.encode()) + conn.execute( + """ + INSERT INTO nuron_ai.documents + (content_hash, entry_point, original_filename, state, author, author_source, + document_date, body) + VALUES (%s, 'watched_directory', %s, 'content_approved', %s, %s, %s, %s) + """, + (digest, filename, author, author_source, document_date, body), + ) + row = conn.execute( + """ + INSERT INTO nuron_ai.reviewed_sources (content_hash, version, author, author_source, + document_date, body) + VALUES (%s, 1, %s, %s, %s, %s) + RETURNING id + """, + (digest, author, author_source, document_date, body), + ).fetchone() + assert row is not None + conn.commit() + return digest, row[0] + + +def _cleanup(conn: psycopg.Connection, digest: str) -> None: + conn.execute("DELETE FROM nuron_ai.documents WHERE content_hash = %s", (digest,)) + conn.commit() + + +def test_compile_pending_takes_a_content_approved_row_to_compiled( + db_conn: psycopg.Connection, +) -> None: + body = "Basuru decided to drop the session store for stateless JWT sessions." + digest, reviewed_source_id = _content_approved( + db_conn, body, f"decision-{uuid.uuid4().hex}.md", author="Basuru", author_source="extracted" + ) + decision = EntityNode(label="DECISION", name="drop the session store") + extractor = _StubExtractor(nodes=[decision]) + try: + claimed = compile_pending(db_conn, extractor, "worker-1") + assert claimed is True + + row = db_conn.execute( + "SELECT state, compiled_graph FROM nuron_ai.documents WHERE content_hash = %s", + (digest,), + ).fetchone() + assert row is not None + state, compiled_graph = row + assert state == "compiled" + assert compiled_graph["decisions"] == ["drop the session store:DECISION"] + assert compiled_graph["nodes"][0]["properties"]["provenance"] == { + "content_hash": digest, + "reviewed_source_id": reviewed_source_id, + } + finally: + _cleanup(db_conn, digest) diff --git a/services/nuron-ai/tests/test_extraction.py b/services/nuron-ai/tests/test_extraction.py index b010f04..0336517 100644 --- a/services/nuron-ai/tests/test_extraction.py +++ b/services/nuron-ai/tests/test_extraction.py @@ -322,6 +322,50 @@ def test_extract_pending_preserves_lost_lease_when_rollback_also_fails() -> None ] +def test_extract_pending_rolls_back_release_database_error() -> None: + conn = MagicMock(spec=psycopg.Connection) + claim_cursor = MagicMock() + claim_cursor.fetchone.return_value = _claimed_row("decision.md") + conn.execute.side_effect = [claim_cursor, psycopg.DataError("bad release")] + storage = MagicMock(spec=ObjectStorage) + storage.get.return_value = b"# Decision\n" + + with pytest.raises(psycopg.DataError, match="bad release"): + extract_pending( + conn, + storage, + "worker-1", + llama_parse_api_key=None, + llama_parse_tier=None, + ) + + conn.rollback.assert_called_once_with() + conn.commit.assert_called_once_with() + + +def test_extract_pending_attaches_release_rollback_failure_to_original_error() -> None: + conn = MagicMock(spec=psycopg.Connection) + claim_cursor = MagicMock() + claim_cursor.fetchone.return_value = _claimed_row("decision.md") + conn.execute.side_effect = [claim_cursor, psycopg.DataError("bad release")] + conn.rollback.side_effect = psycopg.OperationalError("connection closed") + storage = MagicMock(spec=ObjectStorage) + storage.get.return_value = b"# Decision\n" + + with pytest.raises(psycopg.DataError, match="bad release") as raised: + extract_pending( + conn, + storage, + "worker-1", + llama_parse_api_key=None, + llama_parse_tier=None, + ) + + assert raised.value.__notes__ == [ + "rollback after release failure also failed: OperationalError: connection closed", + ] + + def test_extract_pending_marks_unsupported_extension_failed_without_retrying() -> None: conn = MagicMock(spec=psycopg.Connection) conn.execute.return_value.fetchone.return_value = _claimed_row("note.json") From 95808d788537455a7990f264ecaa6cdd2d60acc0 Mon Sep 17 00:00:00 2001 From: Basuru Balasuriya Date: Tue, 22 Sep 2026 23:08:49 +0530 Subject: [PATCH 05/23] feat: add release function for lease management in database - Introduced a new `release` function to update and release claimed rows in the database, ensuring that the lease is still held by the worker. - Implemented error handling to manage rollback scenarios during the release process, enhancing reliability in lease management. - The function includes detailed documentation to clarify its purpose and usage within the pipeline stages. These changes aim to improve the lease management process by providing a robust mechanism for releasing claimed resources while maintaining data integrity. --- services/nuron-ai/src/nuron_ai/db.py | 52 ++++++++++++++++++++++++++++ 1 file changed, 52 insertions(+) diff --git a/services/nuron-ai/src/nuron_ai/db.py b/services/nuron-ai/src/nuron_ai/db.py index 7a77a44..66e7a75 100644 --- a/services/nuron-ai/src/nuron_ai/db.py +++ b/services/nuron-ai/src/nuron_ai/db.py @@ -75,3 +75,55 @@ def claim( f"{type(rollback_err).__name__}: {rollback_err}" ) raise + + +def release( + conn: psycopg.Connection, + digest: str, + worker_id: str, + lease_token: int, + set_sql: sql.Composable, + params: dict[str, Any], +) -> None: + """Updates and releases a claimed row only while this worker still holds its lease. + + Shared by every pipeline stage built on `claim()` above that needs the same + lease-still-held guard on its release UPDATE (docs/tracer-bullet-01.md "Worker claim / lease"). + `set_sql` selects the caller's own static SET fragment for the outcome; only document + data enters `params` as bound values. + """ + try: + cursor = conn.execute( # nosemgrep + sql.SQL( + """ + UPDATE nuron_ai.documents + SET {}, + claimed_by = NULL, + lease_until = NULL + WHERE content_hash = %(content_hash)s + AND claimed_by = %(worker_id)s + AND lease_token = %(lease_token)s + """ + ).format(set_sql), + {**params, "content_hash": digest, "worker_id": worker_id, "lease_token": lease_token}, + ) + except psycopg.Error as err: + try: + conn.rollback() + except Exception as rollback_err: + err.add_note( + "rollback after release failure also failed: " + f"{type(rollback_err).__name__}: {rollback_err}" + ) + raise + if cursor.rowcount != 1: + lost_lease = RuntimeError(f"lost lease while releasing {digest}") + try: + conn.rollback() + except Exception as rollback_err: + lost_lease.add_note( + "rollback after lost lease also failed: " + f"{type(rollback_err).__name__}: {rollback_err}" + ) + raise lost_lease + conn.commit() From e4fc829d28ab492ff855fae1b5577612a1bad61a Mon Sep 17 00:00:00 2001 From: Basuru Balasuriya Date: Tue, 22 Sep 2026 23:11:37 +0530 Subject: [PATCH 06/23] feat: implement compiler for schema-validated typed triples with provenance - Introduced a new `compiler.py` module that transforms approved reviewed sources into schema-validated typed triples, enriching them with provenance information. - Implemented the `build_kg_extractor` function to configure the `SchemaLLMPathExtractor` using environment variables for OpenAI integration. - Added error handling in the `check_structured_output` function to ensure the LLM endpoint produces valid triples. - Enhanced the `enrich_and_serialize` function to append provenance data to extracted triples before storage. These changes aim to facilitate the enrichment of extracted data with provenance, improving the overall data integrity and traceability in the system. --- services/nuron-ai/src/nuron_ai/compiler.py | 347 +++++++++++++++++++ services/nuron-ai/src/nuron_ai/extraction.py | 36 +- 2 files changed, 370 insertions(+), 13 deletions(-) create mode 100644 services/nuron-ai/src/nuron_ai/compiler.py diff --git a/services/nuron-ai/src/nuron_ai/compiler.py b/services/nuron-ai/src/nuron_ai/compiler.py new file mode 100644 index 0000000..243ec0b --- /dev/null +++ b/services/nuron-ai/src/nuron_ai/compiler.py @@ -0,0 +1,347 @@ +"""Compiler: content_approved -> compiled, typed triples with provenance (NU-008). + +SchemaLLMPathExtractor turns an approved Reviewed Source into schema-validated typed triples. +It carries none of `author`, `author_source`, `timestamp`, `evidence_span`, or a provenance +ref -- this module is the post-extraction enrichment step that stamps them on before storage +(docs/tracer-bullet-01.md "LlamaIndex surface", CONTEXT.md "Compiler"/"Provenance ref"). Does +not call insert_nodes() against a live graph store -- that is NU-009's job. +""" + +import logging +import os +import time +import uuid +from collections.abc import Sequence +from datetime import date +from enum import Enum +from typing import Any, Literal, Protocol + +import psycopg +from llama_index.core.graph_stores.types import KG_NODES_KEY, KG_RELATIONS_KEY, EntityNode, Relation +from llama_index.core.indices.property_graph import SchemaLLMPathExtractor +from llama_index.core.schema import BaseNode, TextNode +from llama_index.llms.openai_like import OpenAILike +from psycopg import sql +from psycopg.types.json import Jsonb + +from nuron_ai import db +from nuron_ai.core import natural_key + +logger = logging.getLogger(__name__) + +_LEASE_SECONDS = 600.0 +_MAX_ATTEMPTS = 5 +_RETRY_DELAY_SECONDS = 60.0 +_POLL_DELAY_SECONDS = 5.0 + + +class GraphExtractor(Protocol): + """Structural type for SchemaLLMPathExtractor -- lets tests use a stub with no live LLM.""" + + def __call__(self, nodes: Sequence[BaseNode], **kwargs: Any) -> list[BaseNode]: ... + + +_PossibleEntities = Literal["DECISION", "ENTITY", "EVIDENCE"] +_PossibleRelations = Literal["SUPERSEDES", "EVIDENCED_BY", "AFFECTS", "DEPENDS_ON", "PART_OF"] + +# (subject_label, relation, object_label) triples SchemaLLMPathExtractor keeps under strict=True +# -- decision 3's guardrail enforced by the library's own Pydantic validation, not the prompt. +_KG_VALIDATION_SCHEMA: list[tuple[str, str, str]] = [ + ("DECISION", "SUPERSEDES", "DECISION"), + ("DECISION", "EVIDENCED_BY", "EVIDENCE"), + ("DECISION", "AFFECTS", "ENTITY"), + ("DECISION", "DEPENDS_ON", "ENTITY"), + ("ENTITY", "AFFECTS", "ENTITY"), + ("ENTITY", "DEPENDS_ON", "ENTITY"), + ("ENTITY", "PART_OF", "ENTITY"), + ("ENTITY", "EVIDENCED_BY", "EVIDENCE"), +] + +# Names both a Decision and an Entity joined by a schema-valid relation (DECISION AFFECTS +# ENTITY) -- a lone Decision with nothing to relate to would get pruned to zero triplets by +# strict=True even on a working endpoint, making the check flaky rather than informative. +_STRUCTURED_OUTPUT_PROBE = ( + "Basuru decided to drop the session store for stateless JWT sessions on 2026-05-14, " + "which affects the rate limiter." +) + + +def build_kg_extractor() -> SchemaLLMPathExtractor: + """Builds the Compiler's extractor from OPENAI_* env vars (OpenAILike -- any compatible endpoint).""" + llm = OpenAILike( + model=os.environ["OPENAI_MODEL"], + api_base=os.environ["OPENAI_BASE_URL"], + api_key=os.environ["OPENAI_API_KEY"], + is_chat_model=os.environ.get("OPENAI_IS_CHAT_MODEL", "false").lower() == "true", + is_function_calling_model=os.environ.get("OPENAI_IS_FUNCTION_CALLING_MODEL", "false").lower() + == "true", + ) + return SchemaLLMPathExtractor( + llm=llm, + # SchemaLLMPathExtractor's own stub types this as type[Any] | None; a Literal is + # exactly what every llama-index example passes here, mypy's imprecision not ours. + possible_entities=_PossibleEntities, # type: ignore[arg-type] + possible_relations=_PossibleRelations, # type: ignore[arg-type] + kg_validation_schema=_KG_VALIDATION_SCHEMA, + strict=True, + ) + + +def check_structured_output(kg_extractor: GraphExtractor) -> None: + """Fails loudly at boot if the configured endpoint can't actually produce schema-valid triples.""" + # SchemaLLMPathExtractor swallows a failed structured-predict call into an empty result + # rather than raising, so an exception isn't the only failure shape to check for below -- + # an empty result on an obviously-extractable probe is too. + try: + [transformed] = kg_extractor([TextNode(text=_STRUCTURED_OUTPUT_PROBE)]) + except Exception as err: + raise RuntimeError( + "structured output check failed: the configured LLM endpoint raised while " + "extracting typed triples -- SchemaLLMPathExtractor depends on it working" + ) from err + + if not transformed.metadata.get(KG_NODES_KEY): + raise RuntimeError( + "structured output check failed: the configured LLM endpoint returned no " + "entities for an obviously-extractable probe sentence" + ) + + +def _entity_key(node: EntityNode) -> str: + """Returns a node's identity key -- core.natural_key, not the library's own EntityNode.id.""" + return natural_key(node.name, node.label) + + +def enrich_and_serialize( + entity_nodes: Sequence[EntityNode], + relations: Sequence[Relation], + *, + content_hash: str, + reviewed_source_id: int, + author: str | None, + author_source: str | None, + document_date: date | None, + body: str, +) -> dict[str, Any]: + """Stamps provenance/author/timestamp/evidence_span onto extracted triples before insert_nodes().""" + provenance = {"content_hash": content_hash, "reviewed_source_id": reviewed_source_id} + + # SchemaLLMPathExtractor appends one EntityNode per triplet it participates in, so the + # same entity (equal name + label) can come back several times -- dedupe onto its natural key. + nodes_by_key: dict[str, dict[str, Any]] = {} + decisions: list[str] = [] + # ponytail: EntityNode.id is just node.name in this pinned version, not name+label -- two + # different-labeled entities sharing a name would collide here. Accepted: real Decisions read + # as sentences, real Entities as proper nouns, so this fixture domain never hits it. + id_to_key: dict[str, str] = {} + + for node in entity_nodes: + node_key = _entity_key(node) + id_to_key[node.id] = node_key + if node_key in nodes_by_key: + continue + + properties: dict[str, Any] = dict(node.properties) + properties["provenance"] = provenance + if node.label == "DECISION": + properties["author"] = author + properties["author_source"] = author_source + properties["timestamp"] = document_date.isoformat() if document_date else None + decisions.append(node_key) + elif node.label == "EVIDENCE": + offset = body.find(node.name) + if offset != -1: + properties["evidence_span"] = [offset, offset + len(node.name)] + + nodes_by_key[node_key] = { + "key": node_key, + "label": node.label, + "name": node.name, + "properties": properties, + } + + # Relation.source_id/target_id are the participating EntityNode.id values from this same + # call -- resolve them back to the natural key every node above was keyed on. + seen_relations: set[tuple[str, str, str]] = set() + relation_dicts: list[dict[str, Any]] = [] + for relation in relations: + source_key = id_to_key[relation.source_id] + target_key = id_to_key[relation.target_id] + relation_id = (source_key, relation.label, target_key) + if relation_id in seen_relations: + continue + seen_relations.add(relation_id) + relation_dicts.append( + { + "label": relation.label, + "source_key": source_key, + "target_key": target_key, + "properties": dict(relation.properties), + } + ) + + return {"nodes": list(nodes_by_key.values()), "relations": relation_dicts, "decisions": decisions} + + +def compile_graph( + kg_extractor: GraphExtractor, + *, + body: str, + content_hash: str, + reviewed_source_id: int, + author: str | None, + author_source: str | None, + document_date: date | None, +) -> dict[str, Any]: + """Runs the Compiler on one Reviewed Source's body and enriches the typed triples it returns.""" + [transformed] = kg_extractor([TextNode(text=body)]) + entity_nodes = transformed.metadata.get(KG_NODES_KEY, []) + relations = transformed.metadata.get(KG_RELATIONS_KEY, []) + compiled = enrich_and_serialize( + entity_nodes, + relations, + content_hash=content_hash, + reviewed_source_id=reviewed_source_id, + author=author, + author_source=author_source, + document_date=document_date, + body=body, + ) + + # CONTEXT.md: a Decision is "author, timestamp, and a resolving Evidence edge" -- not + # a reason to reject the compile (the LLM may genuinely find no supporting quote), but + # worth surfacing rather than leaving silent. + evidenced_keys = { + relation["source_key"] for relation in compiled["relations"] if relation["label"] == "EVIDENCED_BY" + } + for node in compiled["nodes"]: + if node["label"] == "DECISION" and node["key"] not in evidenced_keys: + logger.warning("compiled Decision %r for %s has no EVIDENCED_BY relation", node["name"], content_hash) + + return compiled + + +class _ReleaseOperation(Enum): + RETRY = "retry" + COMPILED = "compiled" + + +_ATTEMPT_RELEASE_SQL = sql.SQL( + """ + attempt_count = attempt_count + 1, + next_attempt_at = now() + %(retry_delay_seconds)s * interval '1 second', + state = CASE WHEN attempt_count + 1 >= %(max_attempts)s + THEN 'failed'::nuron_ai.pipeline_state + ELSE state END + """ +) + +_RELEASE_SET_SQL = { + _ReleaseOperation.RETRY: _ATTEMPT_RELEASE_SQL, + _ReleaseOperation.COMPILED: sql.SQL( + "state = 'compiled', compiled_graph = %(compiled_graph)s, attempt_count = 0, next_attempt_at = NULL" + ), +} + + +def _release( + conn: psycopg.Connection, + digest: str, + worker_id: str, + lease_token: int, + operation: _ReleaseOperation, + params: dict[str, Any], +) -> None: + """Releases a claimed row via db.release, picking this module's own SET fragment for the outcome.""" + db.release(conn, digest, worker_id, lease_token, _RELEASE_SET_SQL[operation], params) + + +def compile_pending( + conn: psycopg.Connection, + kg_extractor: GraphExtractor, + worker_id: str, + lease_seconds: float = _LEASE_SECONDS, +) -> bool: + """Claims one content_approved row and advances it to compiled with enriched typed triples.""" + claimed = db.claim(conn, worker_id, "content_approved", lease_seconds=lease_seconds) + if claimed is None: + return False + + digest, original_filename, _, author, author_source, document_date, _, body, lease_token = claimed + + reviewed_source_row = conn.execute( + "SELECT id FROM nuron_ai.reviewed_sources WHERE content_hash = %(content_hash)s", + {"content_hash": digest}, + ).fetchone() + conn.commit() + if reviewed_source_row is None: + _release( + conn, + digest, + worker_id, + lease_token, + _ReleaseOperation.RETRY, + {"retry_delay_seconds": _RETRY_DELAY_SECONDS, "max_attempts": _MAX_ATTEMPTS}, + ) + raise RuntimeError( + f"content_approved row {digest} has no reviewed_sources row -- should be impossible" + ) + reviewed_source_id = reviewed_source_row[0] + + try: + compiled = compile_graph( + kg_extractor, + body=body, + content_hash=digest, + reviewed_source_id=reviewed_source_id, + author=author, + author_source=author_source, + document_date=document_date, + ) + except Exception as err: + logger.warning("compilation failed for %s (%s): %s", digest, original_filename, err) + _release( + conn, + digest, + worker_id, + lease_token, + _ReleaseOperation.RETRY, + {"retry_delay_seconds": _RETRY_DELAY_SECONDS, "max_attempts": _MAX_ATTEMPTS}, + ) + return True + + _release( + conn, + digest, + worker_id, + lease_token, + _ReleaseOperation.COMPILED, + {"compiled_graph": Jsonb(compiled)}, + ) + return True + + +def main() -> None: + """Runs the Compiler worker forever, polling for content_approved rows.""" + logging.basicConfig(level=logging.INFO) + worker_id = uuid.uuid4().hex + kg_extractor = build_kg_extractor() + check_structured_output(kg_extractor) + + while True: + try: + with db.from_env() as conn: + while True: + did_compile = compile_pending(conn, kg_extractor, worker_id) + if not did_compile: + time.sleep(_POLL_DELAY_SECONDS) + except Exception: + logger.exception( + "compiler worker failed; retrying after %.0f seconds", _RETRY_DELAY_SECONDS + ) + time.sleep(_RETRY_DELAY_SECONDS) + continue + + +if __name__ == "__main__": + main() diff --git a/services/nuron-ai/src/nuron_ai/extraction.py b/services/nuron-ai/src/nuron_ai/extraction.py index ee46016..23cdec4 100644 --- a/services/nuron-ai/src/nuron_ai/extraction.py +++ b/services/nuron-ai/src/nuron_ai/extraction.py @@ -175,20 +175,30 @@ def _release( ) -> None: """Updates and releases a row only while this worker still holds its lease.""" # The operation enum selects static fragments; document data only enters bound params. - cursor = conn.execute( # nosemgrep - sql.SQL( + try: + cursor = conn.execute( # nosemgrep + sql.SQL( + """ + UPDATE nuron_ai.documents + SET {}, + claimed_by = NULL, + lease_until = NULL + WHERE content_hash = %(content_hash)s + AND claimed_by = %(worker_id)s + AND lease_token = %(lease_token)s """ - UPDATE nuron_ai.documents - SET {}, - claimed_by = NULL, - lease_until = NULL - WHERE content_hash = %(content_hash)s - AND claimed_by = %(worker_id)s - AND lease_token = %(lease_token)s - """ - ).format(_RELEASE_SET_SQL[operation]), - {**params, "content_hash": digest, "worker_id": worker_id, "lease_token": lease_token}, - ) + ).format(_RELEASE_SET_SQL[operation]), + {**params, "content_hash": digest, "worker_id": worker_id, "lease_token": lease_token}, + ) + except psycopg.Error as err: + try: + conn.rollback() + except Exception as rollback_err: + err.add_note( + "rollback after release failure also failed: " + f"{type(rollback_err).__name__}: {rollback_err}" + ) + raise if cursor.rowcount != 1: lost_lease = RuntimeError(f"lost lease while releasing {digest}") try: From 9fb3d4536cb7a70b286960eb3134cc3f4261db47 Mon Sep 17 00:00:00 2001 From: Basuru Balasuriya Date: Tue, 22 Sep 2026 23:24:25 +0530 Subject: [PATCH 07/23] refactor: streamline compiler and extraction logic for improved clarity - Removed unnecessary comments and consolidated the `compiled_graph` column definition in the schema for better readability. - Simplified the `GraphExtractor` type definition in `compiler.py` to enhance clarity and maintainability. - Refactored the `enrich_and_serialize` function to utilize a dictionary for relations, improving performance and reducing redundancy. - Updated the `_release` function in `extraction.py` to leverage the `db.release` method, enhancing code consistency and reducing complexity. - Removed outdated tests related to error handling in the extraction process, focusing on more relevant scenarios. These changes aim to improve code clarity and maintainability while ensuring the functionality remains intact. --- schema/schema.sql | 5 +- services/nuron-ai/src/nuron_ai/compiler.py | 94 +++++--------------- services/nuron-ai/src/nuron_ai/extraction.py | 39 +------- services/nuron-ai/tests/test_extraction.py | 44 --------- 4 files changed, 23 insertions(+), 159 deletions(-) diff --git a/schema/schema.sql b/schema/schema.sql index c22a465..486f184 100644 --- a/schema/schema.sql +++ b/schema/schema.sql @@ -97,10 +97,7 @@ CREATE TABLE nuron_ai.documents ( document_date DATE, tags TEXT[] NOT NULL DEFAULT '{}', body TEXT, - - -- Enriched typed triples (nodes/relations/decisions[]) filled by the Compiler on - -- content_approved -> compiled (NU-008). Consumed, not recomputed, by NU-009's persist step. - compiled_graph JSONB, + compiled_graph JSONB, created_at TIMESTAMPTZ NOT NULL DEFAULT now() ); diff --git a/services/nuron-ai/src/nuron_ai/compiler.py b/services/nuron-ai/src/nuron_ai/compiler.py index 243ec0b..73e0d8d 100644 --- a/services/nuron-ai/src/nuron_ai/compiler.py +++ b/services/nuron-ai/src/nuron_ai/compiler.py @@ -11,10 +11,9 @@ import os import time import uuid -from collections.abc import Sequence +from collections.abc import Callable, Sequence from datetime import date -from enum import Enum -from typing import Any, Literal, Protocol +from typing import Any, Literal import psycopg from llama_index.core.graph_stores.types import KG_NODES_KEY, KG_RELATIONS_KEY, EntityNode, Relation @@ -35,10 +34,8 @@ _POLL_DELAY_SECONDS = 5.0 -class GraphExtractor(Protocol): - """Structural type for SchemaLLMPathExtractor -- lets tests use a stub with no live LLM.""" - - def __call__(self, nodes: Sequence[BaseNode], **kwargs: Any) -> list[BaseNode]: ... +# Structural type for SchemaLLMPathExtractor -- lets tests use a stub with no live LLM. +GraphExtractor = Callable[[Sequence[BaseNode]], list[BaseNode]] _PossibleEntities = Literal["DECISION", "ENTITY", "EVIDENCE"] @@ -107,11 +104,6 @@ def check_structured_output(kg_extractor: GraphExtractor) -> None: ) -def _entity_key(node: EntityNode) -> str: - """Returns a node's identity key -- core.natural_key, not the library's own EntityNode.id.""" - return natural_key(node.name, node.label) - - def enrich_and_serialize( entity_nodes: Sequence[EntityNode], relations: Sequence[Relation], @@ -136,7 +128,7 @@ def enrich_and_serialize( id_to_key: dict[str, str] = {} for node in entity_nodes: - node_key = _entity_key(node) + node_key = natural_key(node.name, node.label) id_to_key[node.id] = node_key if node_key in nodes_by_key: continue @@ -162,25 +154,21 @@ def enrich_and_serialize( # Relation.source_id/target_id are the participating EntityNode.id values from this same # call -- resolve them back to the natural key every node above was keyed on. - seen_relations: set[tuple[str, str, str]] = set() - relation_dicts: list[dict[str, Any]] = [] + relations_by_id: dict[tuple[str, str, str], dict[str, Any]] = {} for relation in relations: source_key = id_to_key[relation.source_id] target_key = id_to_key[relation.target_id] - relation_id = (source_key, relation.label, target_key) - if relation_id in seen_relations: - continue - seen_relations.add(relation_id) - relation_dicts.append( + relations_by_id.setdefault( + (source_key, relation.label, target_key), { "label": relation.label, "source_key": source_key, "target_key": target_key, "properties": dict(relation.properties), - } + }, ) - return {"nodes": list(nodes_by_key.values()), "relations": relation_dicts, "decisions": decisions} + return {"nodes": list(nodes_by_key.values()), "relations": list(relations_by_id.values()), "decisions": decisions} def compile_graph( @@ -221,12 +209,7 @@ def compile_graph( return compiled -class _ReleaseOperation(Enum): - RETRY = "retry" - COMPILED = "compiled" - - -_ATTEMPT_RELEASE_SQL = sql.SQL( +_RETRY_SET_SQL = sql.SQL( """ attempt_count = attempt_count + 1, next_attempt_at = now() + %(retry_delay_seconds)s * interval '1 second', @@ -236,34 +219,20 @@ class _ReleaseOperation(Enum): """ ) -_RELEASE_SET_SQL = { - _ReleaseOperation.RETRY: _ATTEMPT_RELEASE_SQL, - _ReleaseOperation.COMPILED: sql.SQL( - "state = 'compiled', compiled_graph = %(compiled_graph)s, attempt_count = 0, next_attempt_at = NULL" - ), -} - +_RETRY_PARAMS: dict[str, Any] = {"retry_delay_seconds": _RETRY_DELAY_SECONDS, "max_attempts": _MAX_ATTEMPTS} -def _release( - conn: psycopg.Connection, - digest: str, - worker_id: str, - lease_token: int, - operation: _ReleaseOperation, - params: dict[str, Any], -) -> None: - """Releases a claimed row via db.release, picking this module's own SET fragment for the outcome.""" - db.release(conn, digest, worker_id, lease_token, _RELEASE_SET_SQL[operation], params) +_COMPILED_SET_SQL = sql.SQL( + "state = 'compiled', compiled_graph = %(compiled_graph)s, attempt_count = 0, next_attempt_at = NULL" +) def compile_pending( conn: psycopg.Connection, kg_extractor: GraphExtractor, worker_id: str, - lease_seconds: float = _LEASE_SECONDS, ) -> bool: """Claims one content_approved row and advances it to compiled with enriched typed triples.""" - claimed = db.claim(conn, worker_id, "content_approved", lease_seconds=lease_seconds) + claimed = db.claim(conn, worker_id, "content_approved", lease_seconds=_LEASE_SECONDS) if claimed is None: return False @@ -275,14 +244,7 @@ def compile_pending( ).fetchone() conn.commit() if reviewed_source_row is None: - _release( - conn, - digest, - worker_id, - lease_token, - _ReleaseOperation.RETRY, - {"retry_delay_seconds": _RETRY_DELAY_SECONDS, "max_attempts": _MAX_ATTEMPTS}, - ) + db.release(conn, digest, worker_id, lease_token, _RETRY_SET_SQL, _RETRY_PARAMS) raise RuntimeError( f"content_approved row {digest} has no reviewed_sources row -- should be impossible" ) @@ -300,24 +262,10 @@ def compile_pending( ) except Exception as err: logger.warning("compilation failed for %s (%s): %s", digest, original_filename, err) - _release( - conn, - digest, - worker_id, - lease_token, - _ReleaseOperation.RETRY, - {"retry_delay_seconds": _RETRY_DELAY_SECONDS, "max_attempts": _MAX_ATTEMPTS}, - ) + db.release(conn, digest, worker_id, lease_token, _RETRY_SET_SQL, _RETRY_PARAMS) return True - _release( - conn, - digest, - worker_id, - lease_token, - _ReleaseOperation.COMPILED, - {"compiled_graph": Jsonb(compiled)}, - ) + db.release(conn, digest, worker_id, lease_token, _COMPILED_SET_SQL, {"compiled_graph": Jsonb(compiled)}) return True @@ -332,15 +280,13 @@ def main() -> None: try: with db.from_env() as conn: while True: - did_compile = compile_pending(conn, kg_extractor, worker_id) - if not did_compile: + if not compile_pending(conn, kg_extractor, worker_id): time.sleep(_POLL_DELAY_SECONDS) except Exception: logger.exception( "compiler worker failed; retrying after %.0f seconds", _RETRY_DELAY_SECONDS ) time.sleep(_RETRY_DELAY_SECONDS) - continue if __name__ == "__main__": diff --git a/services/nuron-ai/src/nuron_ai/extraction.py b/services/nuron-ai/src/nuron_ai/extraction.py index 23cdec4..57e67dd 100644 --- a/services/nuron-ai/src/nuron_ai/extraction.py +++ b/services/nuron-ai/src/nuron_ai/extraction.py @@ -173,43 +173,8 @@ def _release( operation: _ReleaseOperation, params: dict[str, Any], ) -> None: - """Updates and releases a row only while this worker still holds its lease.""" - # The operation enum selects static fragments; document data only enters bound params. - try: - cursor = conn.execute( # nosemgrep - sql.SQL( - """ - UPDATE nuron_ai.documents - SET {}, - claimed_by = NULL, - lease_until = NULL - WHERE content_hash = %(content_hash)s - AND claimed_by = %(worker_id)s - AND lease_token = %(lease_token)s - """ - ).format(_RELEASE_SET_SQL[operation]), - {**params, "content_hash": digest, "worker_id": worker_id, "lease_token": lease_token}, - ) - except psycopg.Error as err: - try: - conn.rollback() - except Exception as rollback_err: - err.add_note( - "rollback after release failure also failed: " - f"{type(rollback_err).__name__}: {rollback_err}" - ) - raise - if cursor.rowcount != 1: - lost_lease = RuntimeError(f"lost lease while releasing {digest}") - try: - conn.rollback() - except Exception as rollback_err: - lost_lease.add_note( - "rollback after lost lease also failed: " - f"{type(rollback_err).__name__}: {rollback_err}" - ) - raise lost_lease - conn.commit() + """Releases a claimed row via db.release, picking this module's own SET fragment for the outcome.""" + db.release(conn, digest, worker_id, lease_token, _RELEASE_SET_SQL[operation], params) def extract_pending( diff --git a/services/nuron-ai/tests/test_extraction.py b/services/nuron-ai/tests/test_extraction.py index 0336517..b010f04 100644 --- a/services/nuron-ai/tests/test_extraction.py +++ b/services/nuron-ai/tests/test_extraction.py @@ -322,50 +322,6 @@ def test_extract_pending_preserves_lost_lease_when_rollback_also_fails() -> None ] -def test_extract_pending_rolls_back_release_database_error() -> None: - conn = MagicMock(spec=psycopg.Connection) - claim_cursor = MagicMock() - claim_cursor.fetchone.return_value = _claimed_row("decision.md") - conn.execute.side_effect = [claim_cursor, psycopg.DataError("bad release")] - storage = MagicMock(spec=ObjectStorage) - storage.get.return_value = b"# Decision\n" - - with pytest.raises(psycopg.DataError, match="bad release"): - extract_pending( - conn, - storage, - "worker-1", - llama_parse_api_key=None, - llama_parse_tier=None, - ) - - conn.rollback.assert_called_once_with() - conn.commit.assert_called_once_with() - - -def test_extract_pending_attaches_release_rollback_failure_to_original_error() -> None: - conn = MagicMock(spec=psycopg.Connection) - claim_cursor = MagicMock() - claim_cursor.fetchone.return_value = _claimed_row("decision.md") - conn.execute.side_effect = [claim_cursor, psycopg.DataError("bad release")] - conn.rollback.side_effect = psycopg.OperationalError("connection closed") - storage = MagicMock(spec=ObjectStorage) - storage.get.return_value = b"# Decision\n" - - with pytest.raises(psycopg.DataError, match="bad release") as raised: - extract_pending( - conn, - storage, - "worker-1", - llama_parse_api_key=None, - llama_parse_tier=None, - ) - - assert raised.value.__notes__ == [ - "rollback after release failure also failed: OperationalError: connection closed", - ] - - def test_extract_pending_marks_unsupported_extension_failed_without_retrying() -> None: conn = MagicMock(spec=psycopg.Connection) conn.execute.return_value.fetchone.return_value = _claimed_row("note.json") From a46ada310a6162cb7c3b1155006dc6ada17b7c99 Mon Sep 17 00:00:00 2001 From: Basuru Balasuriya Date: Tue, 22 Sep 2026 23:27:03 +0530 Subject: [PATCH 08/23] fix: improve error handling in compile_pending function - Updated the `compile_pending` function to log an error when a reviewed source row is missing instead of raising an exception, allowing the process to continue. - Modified the corresponding test to verify that the function logs the error and releases the database connection appropriately, ensuring better error management and flow control. These changes aim to enhance the robustness of the compilation process by improving error handling and logging. --- services/nuron-ai/src/nuron_ai/compiler.py | 8 +++++--- services/nuron-ai/tests/test_compiler.py | 13 ++++++++++--- 2 files changed, 15 insertions(+), 6 deletions(-) diff --git a/services/nuron-ai/src/nuron_ai/compiler.py b/services/nuron-ai/src/nuron_ai/compiler.py index 73e0d8d..d666823 100644 --- a/services/nuron-ai/src/nuron_ai/compiler.py +++ b/services/nuron-ai/src/nuron_ai/compiler.py @@ -244,10 +244,12 @@ def compile_pending( ).fetchone() conn.commit() if reviewed_source_row is None: - db.release(conn, digest, worker_id, lease_token, _RETRY_SET_SQL, _RETRY_PARAMS) - raise RuntimeError( - f"content_approved row {digest} has no reviewed_sources row -- should be impossible" + logger.error( + "content_approved row %s has no reviewed_sources row -- should be impossible", + digest, ) + db.release(conn, digest, worker_id, lease_token, _RETRY_SET_SQL, _RETRY_PARAMS) + return True reviewed_source_id = reviewed_source_row[0] try: diff --git a/services/nuron-ai/tests/test_compiler.py b/services/nuron-ai/tests/test_compiler.py index f523513..1f786dd 100644 --- a/services/nuron-ai/tests/test_compiler.py +++ b/services/nuron-ai/tests/test_compiler.py @@ -323,7 +323,9 @@ def test_compile_pending_retries_when_the_extractor_fails() -> None: assert "attempt_count = attempt_count + 1" in str(retry_call.args[0]) -def test_compile_pending_raises_when_the_reviewed_source_row_is_missing() -> None: +def test_compile_pending_logs_releases_and_continues_when_the_reviewed_source_row_is_missing( + caplog: pytest.LogCaptureFixture, +) -> None: conn = MagicMock(spec=psycopg.Connection) conn.execute.return_value.fetchone.side_effect = [ _claimed_row("decision.md", "# Decision\n"), @@ -331,9 +333,14 @@ def test_compile_pending_raises_when_the_reviewed_source_row_is_missing() -> Non ] conn.execute.return_value.rowcount = 1 - with pytest.raises(RuntimeError, match="should be impossible"): - compile_pending(conn, _StubExtractor(), "worker-1") + with caplog.at_level("ERROR"): + claimed = compile_pending(conn, _StubExtractor(), "worker-1") + assert claimed is True + assert any( + record.levelname == "ERROR" and "a" * 64 in record.message and "reviewed_sources" in record.message + for record in caplog.records + ) retry_call = conn.execute.call_args_list[-1] assert "attempt_count = attempt_count + 1" in str(retry_call.args[0]) assert retry_call.args[1]["retry_delay_seconds"] == compiler._RETRY_DELAY_SECONDS From ec6ce5bf00b3349d78625d1544d7e5f28a0cb822 Mon Sep 17 00:00:00 2001 From: Basuru Balasuriya Date: Wed, 23 Sep 2026 22:33:18 +0530 Subject: [PATCH 09/23] feat: add GitHub Actions workflow for OpenCodeReview PR review - Introduced a new workflow in `ocr_review.yml` to automate the review process for pull requests and issue comments. - Configured permissions, concurrency, and job steps to utilize a GitHub App token for code review functionality. - The workflow triggers on pull request events and specific issue comments, enhancing collaboration and review efficiency. This addition aims to streamline the code review process and improve project maintainability. --- .github/workflows/ocr_review.yml | 49 ++++++++++++++++++++++++++++++++ 1 file changed, 49 insertions(+) create mode 100644 .github/workflows/ocr_review.yml diff --git a/.github/workflows/ocr_review.yml b/.github/workflows/ocr_review.yml new file mode 100644 index 0000000..e9cf90c --- /dev/null +++ b/.github/workflows/ocr_review.yml @@ -0,0 +1,49 @@ +name: OpenCodeReview PR Review + +on: + pull_request_target: + types: [opened, synchronize, reopened] + issue_comment: + types: [created] + +permissions: + contents: read + pull-requests: write + +concurrency: + group: ocr-${{ github.event.pull_request.number || github.event.issue.number }} + cancel-in-progress: true + +jobs: + code-review: + runs-on: ubuntu-latest + timeout-minutes: 30 + if: | + github.event_name == 'pull_request_target' + || ( + github.event_name == 'issue_comment' + && github.event.issue.pull_request + && github.event.comment.user.type != 'Bot' + && ( + github.event.comment.author_association == 'OWNER' + || github.event.comment.author_association == 'MEMBER' + || github.event.comment.author_association == 'COLLABORATOR' + ) + && startsWith(github.event.comment.body, '/open-code-review') + ) + steps: + - name: Get GitHub App Token + id: app-token + uses: actions/create-github-app-token@bcd2ba49218906704ab6c1aa796996da409d3eb1 # v3.2.0 + with: + app-id: ${{ secrets.GH_APP_ID }} + private-key: ${{ secrets.GH_APP_PRIVATE_KEY }} + + - uses: alibaba/open-code-review@main + with: + github_token: ${{ steps.app-token.outputs.token }} + ocr_version: latest + llm_url: ${{ secrets.OCR_LLM_URL }} + llm_auth_token: ${{ secrets.OCR_LLM_AUTH_TOKEN }} + llm_model: ${{ vars.OCR_LLM_MODEL }} + llm_use_anthropic: ${{ vars.OCR_LLM_USE_ANTHROPIC }} From 941541349dec4eed84217d288d0c73b04e362b5d Mon Sep 17 00:00:00 2001 From: Basuru Balasuriya Date: Wed, 23 Sep 2026 23:01:28 +0530 Subject: [PATCH 10/23] feat: enhance GitHub Actions workflow for OpenCodeReview - Updated the `ocr_review.yml` workflow to improve concurrency handling for pull request reviews and issue comments. - Added a new job step to resolve pull request references from issue comments, ensuring accurate context for code reviews. - Enhanced the concurrency group logic to allow for better management of ongoing reviews and cancellations. These changes aim to streamline the review process and improve the responsiveness of the workflow to user interactions. --- .github/workflows/ocr_review.yml | 51 ++++++++++++++++++++++++++++---- 1 file changed, 46 insertions(+), 5 deletions(-) diff --git a/.github/workflows/ocr_review.yml b/.github/workflows/ocr_review.yml index e9cf90c..0abf022 100644 --- a/.github/workflows/ocr_review.yml +++ b/.github/workflows/ocr_review.yml @@ -8,16 +8,35 @@ on: permissions: contents: read - pull-requests: write - -concurrency: - group: ocr-${{ github.event.pull_request.number || github.event.issue.number }} - cancel-in-progress: true jobs: code-review: runs-on: ubuntu-latest timeout-minutes: 30 + # Concurrency is chosen before this job's if. A flat ocr- group lets a + # rejected comment cancel a live review. Only an authorized run joins that + # group; everything else gets a group unique to this run. + concurrency: + group: >- + ${{ + ( + github.event_name == 'pull_request_target' + || ( + github.event_name == 'issue_comment' + && github.event.issue.pull_request + && github.event.comment.user.type != 'Bot' + && ( + github.event.comment.author_association == 'OWNER' + || github.event.comment.author_association == 'MEMBER' + || github.event.comment.author_association == 'COLLABORATOR' + ) + && startsWith(github.event.comment.body, '/open-code-review') + ) + ) + && format('ocr-{0}', github.event.pull_request.number || github.event.issue.number) + || format('noop-{0}', github.run_id) + }} + cancel-in-progress: true if: | github.event_name == 'pull_request_target' || ( @@ -39,10 +58,32 @@ jobs: app-id: ${{ secrets.GH_APP_ID }} private-key: ${{ secrets.GH_APP_PRIVATE_KEY }} + - name: Resolve comment PR refs + id: pr-context + if: github.event_name == 'issue_comment' + env: + GH_TOKEN: ${{ steps.app-token.outputs.token }} + PR_NUMBER: ${{ github.event.issue.number }} + run: | + set -euo pipefail + case "$PR_NUMBER" in + ''|*[!0-9]*) + echo "Pull request number is not an integer" >&2 + exit 1 + ;; + esac + pr="$(gh api "repos/${GITHUB_REPOSITORY}/pulls/${PR_NUMBER}")" + base_ref="$(jq -er .base.ref <<<"$pr")" + head_sha="$(jq -er .head.sha <<<"$pr")" + echo "base_ref=${base_ref}" >> "$GITHUB_OUTPUT" + echo "head_sha=${head_sha}" >> "$GITHUB_OUTPUT" + - uses: alibaba/open-code-review@main with: github_token: ${{ steps.app-token.outputs.token }} ocr_version: latest + base_ref: ${{ steps.pr-context.outputs.base_ref }} + head_sha: ${{ steps.pr-context.outputs.head_sha }} llm_url: ${{ secrets.OCR_LLM_URL }} llm_auth_token: ${{ secrets.OCR_LLM_AUTH_TOKEN }} llm_model: ${{ vars.OCR_LLM_MODEL }} From 15c351f2c87f66cceb2697b44d31fd85709d9ed8 Mon Sep 17 00:00:00 2001 From: Basuru Balasuriya Date: Wed, 23 Sep 2026 23:04:20 +0530 Subject: [PATCH 11/23] chore: update OpenCodeReview action version in workflow - Changed the OpenCodeReview action version in `ocr_review.yml` from `latest` to a specific version `1.12.9` for better stability and predictability in the workflow. - This update ensures that the workflow uses a tested version of the action, reducing the risk of unexpected changes in behavior. --- .github/workflows/ocr_review.yml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/ocr_review.yml b/.github/workflows/ocr_review.yml index 0abf022..f1f0f3b 100644 --- a/.github/workflows/ocr_review.yml +++ b/.github/workflows/ocr_review.yml @@ -78,10 +78,10 @@ jobs: echo "base_ref=${base_ref}" >> "$GITHUB_OUTPUT" echo "head_sha=${head_sha}" >> "$GITHUB_OUTPUT" - - uses: alibaba/open-code-review@main + - uses: alibaba/open-code-review@bccbc15f785269400735d5255540c231e6c02b6d # v1.12.9 with: github_token: ${{ steps.app-token.outputs.token }} - ocr_version: latest + ocr_version: "1.12.9" base_ref: ${{ steps.pr-context.outputs.base_ref }} head_sha: ${{ steps.pr-context.outputs.head_sha }} llm_url: ${{ secrets.OCR_LLM_URL }} From 51fad01e27137a497185acc32f1c6eae508c3f62 Mon Sep 17 00:00:00 2001 From: Basuru Balasuriya Date: Wed, 23 Sep 2026 22:08:41 +0530 Subject: [PATCH 12/23] fix: enhance error handling in enrich_and_serialize and release functions - Updated the `enrich_and_serialize` function to raise a ValueError when an entity id maps to multiple natural keys, preventing silent overwrites. - Improved the `release` function to handle commit failures by rolling back the transaction and attaching notes about any rollback errors, enhancing reliability in database operations. - Added tests to verify the new error handling in both the `enrich_and_serialize` and `release` functions, ensuring robustness in the system. These changes aim to improve error management and data integrity during the enrichment and database release processes. --- services/nuron-ai/src/nuron_ai/compiler.py | 10 ++++++--- services/nuron-ai/src/nuron_ai/db.py | 12 ++++++++++- services/nuron-ai/tests/test_compiler.py | 20 +++++++++++++++++ services/nuron-ai/tests/test_db.py | 25 ++++++++++++++++++++++ 4 files changed, 63 insertions(+), 4 deletions(-) diff --git a/services/nuron-ai/src/nuron_ai/compiler.py b/services/nuron-ai/src/nuron_ai/compiler.py index d666823..7867106 100644 --- a/services/nuron-ai/src/nuron_ai/compiler.py +++ b/services/nuron-ai/src/nuron_ai/compiler.py @@ -122,13 +122,17 @@ def enrich_and_serialize( # same entity (equal name + label) can come back several times -- dedupe onto its natural key. nodes_by_key: dict[str, dict[str, Any]] = {} decisions: list[str] = [] - # ponytail: EntityNode.id is just node.name in this pinned version, not name+label -- two - # different-labeled entities sharing a name would collide here. Accepted: real Decisions read - # as sentences, real Entities as proper nouns, so this fixture domain never hits it. + # EntityNode.id is the name (quotes flattened), not name+label. One id must not + # resolve to two natural keys; a repeated id that already maps to this key is fine. id_to_key: dict[str, str] = {} for node in entity_nodes: node_key = natural_key(node.name, node.label) + existing_key = id_to_key.get(node.id) + if existing_key is not None and existing_key != node_key: + raise ValueError( + f"entity id {node.id!r} already maps to {existing_key!r}, not {node_key!r}" + ) id_to_key[node.id] = node_key if node_key in nodes_by_key: continue diff --git a/services/nuron-ai/src/nuron_ai/db.py b/services/nuron-ai/src/nuron_ai/db.py index 66e7a75..359d79a 100644 --- a/services/nuron-ai/src/nuron_ai/db.py +++ b/services/nuron-ai/src/nuron_ai/db.py @@ -126,4 +126,14 @@ def release( f"{type(rollback_err).__name__}: {rollback_err}" ) raise lost_lease - conn.commit() + try: + conn.commit() + except psycopg.Error as err: + try: + conn.rollback() + except Exception as rollback_err: + err.add_note( + "rollback after release failure also failed: " + f"{type(rollback_err).__name__}: {rollback_err}" + ) + raise diff --git a/services/nuron-ai/tests/test_compiler.py b/services/nuron-ai/tests/test_compiler.py index 1f786dd..dbd41e3 100644 --- a/services/nuron-ai/tests/test_compiler.py +++ b/services/nuron-ai/tests/test_compiler.py @@ -150,6 +150,26 @@ def test_enrich_dedupes_the_same_entity_appearing_in_multiple_triplets() -> None assert sorted(keys) == sorted({"session store:ENTITY", "rate limiter:ENTITY"}) +def test_enrich_rejects_entity_id_that_maps_to_two_natural_keys() -> None: + # EntityNode.id is the name, so these share an id and disagree on natural key. + # A relation is present so a silent overwrite would compile instead of raising. + entity = EntityNode(label="ENTITY", name="atlas") + decision = EntityNode(label="DECISION", name="atlas") + relation = Relation(label="AFFECTS", source_id=entity.id, target_id=decision.id) + + with pytest.raises(ValueError, match="already maps to 'atlas:ENTITY', not 'atlas:DECISION'"): + enrich_and_serialize( + [entity, decision], + [relation], + content_hash="e" * 64, + reviewed_source_id=1, + author=None, + author_source=None, + document_date=None, + body="irrelevant", + ) + + def test_enrich_resolves_relations_to_natural_keys_and_dedupes_duplicates() -> None: decision = EntityNode(label="DECISION", name="drop session store") entity = EntityNode(label="ENTITY", name="rate limiter") diff --git a/services/nuron-ai/tests/test_db.py b/services/nuron-ai/tests/test_db.py index ac772e7..865506a 100644 --- a/services/nuron-ai/tests/test_db.py +++ b/services/nuron-ai/tests/test_db.py @@ -38,6 +38,31 @@ def test_release_rolls_back_database_error_before_reraising() -> None: conn.commit.assert_not_called() +def test_release_rolls_back_when_commit_fails() -> None: + conn = MagicMock(spec=psycopg.Connection) + conn.execute.return_value.rowcount = 1 + conn.commit.side_effect = psycopg.OperationalError("commit failed") + + with pytest.raises(psycopg.OperationalError, match="commit failed"): + db.release(conn, "abc", "worker-1", 1, sql.SQL("state = 'compiled'"), {}) + + conn.rollback.assert_called_once_with() + + +def test_release_attaches_rollback_failure_when_commit_fails() -> None: + conn = MagicMock(spec=psycopg.Connection) + conn.execute.return_value.rowcount = 1 + conn.commit.side_effect = psycopg.OperationalError("commit failed") + conn.rollback.side_effect = psycopg.OperationalError("connection closed") + + with pytest.raises(psycopg.OperationalError, match="commit failed") as raised: + db.release(conn, "abc", "worker-1", 1, sql.SQL("state = 'compiled'"), {}) + + assert raised.value.__notes__ == [ + "rollback after release failure also failed: OperationalError: connection closed", + ] + + def test_release_attaches_rollback_failure_to_original_database_error() -> None: conn = MagicMock(spec=psycopg.Connection) conn.execute.side_effect = psycopg.DataError("bad graph") From aa5556cb679bcdfd7c7e2658599d7613a665f5ca Mon Sep 17 00:00:00 2001 From: Basuru Balasuriya Date: Wed, 23 Sep 2026 23:28:28 +0530 Subject: [PATCH 13/23] fix: update compile_pending to select the latest reviewed source version - Modified the SQL query in the `compile_pending` function to ensure it retrieves the latest reviewed source version by adding an `ORDER BY version DESC LIMIT 1` clause. - Added a new test to verify that the provenance of the compiled graph correctly binds to the latest reviewed source version, enhancing the accuracy of the compilation process. These changes aim to improve the integrity of the compilation by ensuring the most recent reviewed source is utilized. --- services/nuron-ai/src/nuron_ai/compiler.py | 3 ++- services/nuron-ai/tests/test_compiler.py | 29 ++++++++++++++++++++++ 2 files changed, 31 insertions(+), 1 deletion(-) diff --git a/services/nuron-ai/src/nuron_ai/compiler.py b/services/nuron-ai/src/nuron_ai/compiler.py index 7867106..f604f4a 100644 --- a/services/nuron-ai/src/nuron_ai/compiler.py +++ b/services/nuron-ai/src/nuron_ai/compiler.py @@ -243,7 +243,8 @@ def compile_pending( digest, original_filename, _, author, author_source, document_date, _, body, lease_token = claimed reviewed_source_row = conn.execute( - "SELECT id FROM nuron_ai.reviewed_sources WHERE content_hash = %(content_hash)s", + "SELECT id FROM nuron_ai.reviewed_sources WHERE content_hash = %(content_hash)s " + "ORDER BY version DESC LIMIT 1", {"content_hash": digest}, ).fetchone() conn.commit() diff --git a/services/nuron-ai/tests/test_compiler.py b/services/nuron-ai/tests/test_compiler.py index dbd41e3..ede9457 100644 --- a/services/nuron-ai/tests/test_compiler.py +++ b/services/nuron-ai/tests/test_compiler.py @@ -370,6 +370,35 @@ def test_compile_pending_logs_releases_and_continues_when_the_reviewed_source_ro assert retry_call.args[1]["lease_token"] == 3 +def test_compile_pending_binds_provenance_to_the_latest_reviewed_source_version() -> None: + conn = MagicMock(spec=psycopg.Connection) + stale_reviewed_source_id = 1 + latest_reviewed_source_id = 9 + + def execute(query: object, _params: object = None) -> MagicMock: + result = MagicMock() + text = str(query) + if "reviewed_sources" in text: + picks_latest = "ORDER BY version DESC" in text and "LIMIT 1" in text + result.fetchone.return_value = ( + (latest_reviewed_source_id,) if picks_latest else (stale_reviewed_source_id,) + ) + return result + result.fetchone.return_value = _claimed_row("decision.md", "# Decision\n") + result.rowcount = 1 + return result + + conn.execute.side_effect = execute + decision = EntityNode(label="DECISION", name="drop session store") + + assert compile_pending(conn, _StubExtractor(nodes=[decision]), "worker-1") is True + + compiled_graph = conn.execute.call_args_list[-1].args[1]["compiled_graph"].obj + assert compiled_graph["nodes"][0]["properties"]["provenance"]["reviewed_source_id"] == ( + latest_reviewed_source_id + ) + + def test_main_reuses_one_connection_across_idle_polls_and_reconnects_after_failure( monkeypatch: pytest.MonkeyPatch, ) -> None: From f5dc23a9736ee001b69629911583bb9dca2dc9d4 Mon Sep 17 00:00:00 2001 From: Basuru Balasuriya Date: Thu, 24 Sep 2026 23:16:57 +0530 Subject: [PATCH 14/23] chore: add llm_extra_body configuration to ocr_review workflow - Added a new configuration parameter `llm_extra_body` in the `ocr_review.yml` workflow to enable reasoning capabilities during the OCR process. - This enhancement aims to improve the functionality of the workflow by allowing for additional reasoning features in the LLM integration. --- .github/workflows/ocr_review.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/.github/workflows/ocr_review.yml b/.github/workflows/ocr_review.yml index f1f0f3b..5d87a2e 100644 --- a/.github/workflows/ocr_review.yml +++ b/.github/workflows/ocr_review.yml @@ -88,3 +88,4 @@ jobs: llm_auth_token: ${{ secrets.OCR_LLM_AUTH_TOKEN }} llm_model: ${{ vars.OCR_LLM_MODEL }} llm_use_anthropic: ${{ vars.OCR_LLM_USE_ANTHROPIC }} + llm_extra_body: '{"reasoning":{"enabled":true}}' From 5ca5af4863ef546ca45f129bdf5db5e34cd0504d Mon Sep 17 00:00:00 2001 From: Basuru Balasuriya Date: Thu, 24 Sep 2026 23:29:10 +0530 Subject: [PATCH 15/23] fix: pin llama-index-llms-openai-like dependency version - Updated the `llama-index-llms-openai-like` dependency in `pyproject.toml` from a version range to a specific version `0.8.0` for consistency and to avoid potential compatibility issues with future releases. - This change aims to ensure stability in the project by locking the dependency to a tested version. --- services/nuron-ai/pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/services/nuron-ai/pyproject.toml b/services/nuron-ai/pyproject.toml index 6b519ae..1a6b55d 100644 --- a/services/nuron-ai/pyproject.toml +++ b/services/nuron-ai/pyproject.toml @@ -12,7 +12,7 @@ dependencies = [ "fsspec>=2026.7.0", "llama-cloud>=1.0", "llama-index-core==0.14.23", - "llama-index-llms-openai-like>=0.8.0", + "llama-index-llms-openai-like==0.8.0", "openai>=2.54.0,<3", "psycopg[binary]>=3.3.5", "s3fs>=2026.7.0", From 4f0cccaaeb99c5c86417639d27b58dfc5b2d36ab Mon Sep 17 00:00:00 2001 From: Basuru Balasuriya Date: Thu, 24 Sep 2026 23:50:51 +0530 Subject: [PATCH 16/23] fix: enforce schema validation in knowledge graph labels - Added a new function `_assert_kg_schema_labels` in `compiler.py` to validate that all subjects, object labels, and relations in `_KG_VALIDATION_SCHEMA` conform to defined Literals. This ensures that any schema triples adhere to expected values, enhancing data integrity. - Introduced unit tests in `test_compiler.py` to verify that the validation function correctly raises errors for unknown subjects, objects, and relations, ensuring robust error handling in schema validation. - Updated the `uv.lock` file to pin the `llama-index-llms-openai-like` dependency to version `0.8.0` for consistency and compatibility. These changes aim to strengthen the validation process within the knowledge graph and maintain stability in dependencies. --- services/nuron-ai/src/nuron_ai/compiler.py | 24 ++++++++++++++++++- services/nuron-ai/tests/test_compiler.py | 27 ++++++++++++++++++++++ services/nuron-ai/uv.lock | 2 +- 3 files changed, 51 insertions(+), 2 deletions(-) diff --git a/services/nuron-ai/src/nuron_ai/compiler.py b/services/nuron-ai/src/nuron_ai/compiler.py index f604f4a..7733747 100644 --- a/services/nuron-ai/src/nuron_ai/compiler.py +++ b/services/nuron-ai/src/nuron_ai/compiler.py @@ -13,7 +13,7 @@ import uuid from collections.abc import Callable, Sequence from datetime import date -from typing import Any, Literal +from typing import Any, Literal, get_args import psycopg from llama_index.core.graph_stores.types import KG_NODES_KEY, KG_RELATIONS_KEY, EntityNode, Relation @@ -54,6 +54,28 @@ ("ENTITY", "EVIDENCED_BY", "EVIDENCE"), ] + +def _assert_kg_schema_labels() -> None: + """Fails import if a schema triple uses a label or relation outside the Literals.""" + entities = frozenset(get_args(_PossibleEntities)) + relations = frozenset(get_args(_PossibleRelations)) + for subject, relation, object_label in _KG_VALIDATION_SCHEMA: + if subject not in entities: + raise AssertionError( + f"kg_validation_schema subject {subject!r} not in _PossibleEntities" + ) + if object_label not in entities: + raise AssertionError( + f"kg_validation_schema object {object_label!r} not in _PossibleEntities" + ) + if relation not in relations: + raise AssertionError( + f"kg_validation_schema relation {relation!r} not in _PossibleRelations" + ) + + +_assert_kg_schema_labels() + # Names both a Decision and an Entity joined by a schema-valid relation (DECISION AFFECTS # ENTITY) -- a lone Decision with nothing to relate to would get pruned to zero triplets by # strict=True even on a working endpoint, making the check flaky rather than informative. diff --git a/services/nuron-ai/tests/test_compiler.py b/services/nuron-ai/tests/test_compiler.py index ede9457..c7f0e8c 100644 --- a/services/nuron-ai/tests/test_compiler.py +++ b/services/nuron-ai/tests/test_compiler.py @@ -45,6 +45,33 @@ def __call__(self, nodes: Sequence[BaseNode], **kwargs: Any) -> list[BaseNode]: return [node] +# -- kg schema: Literals and _KG_VALIDATION_SCHEMA stay in lockstep --------------- + + +def test_kg_schema_label_check_rejects_an_unknown_subject( + monkeypatch: pytest.MonkeyPatch, +) -> None: + monkeypatch.setattr(compiler, "_KG_VALIDATION_SCHEMA", [("NOPE", "AFFECTS", "ENTITY")]) + with pytest.raises(AssertionError, match="subject 'NOPE' not in _PossibleEntities"): + compiler._assert_kg_schema_labels() + + +def test_kg_schema_label_check_rejects_an_unknown_object( + monkeypatch: pytest.MonkeyPatch, +) -> None: + monkeypatch.setattr(compiler, "_KG_VALIDATION_SCHEMA", [("DECISION", "AFFECTS", "NOPE")]) + with pytest.raises(AssertionError, match="object 'NOPE' not in _PossibleEntities"): + compiler._assert_kg_schema_labels() + + +def test_kg_schema_label_check_rejects_an_unknown_relation( + monkeypatch: pytest.MonkeyPatch, +) -> None: + monkeypatch.setattr(compiler, "_KG_VALIDATION_SCHEMA", [("DECISION", "NOPE", "ENTITY")]) + with pytest.raises(AssertionError, match="relation 'NOPE' not in _PossibleRelations"): + compiler._assert_kg_schema_labels() + + # -- enrich_and_serialize: pure logic, no LLM or DB ------------------------------- diff --git a/services/nuron-ai/uv.lock b/services/nuron-ai/uv.lock index 1d6767a..096ad44 100644 --- a/services/nuron-ai/uv.lock +++ b/services/nuron-ai/uv.lock @@ -1482,7 +1482,7 @@ requires-dist = [ { name = "fsspec", specifier = ">=2026.7.0" }, { name = "llama-cloud", specifier = ">=1.0" }, { name = "llama-index-core", specifier = "==0.14.23" }, - { name = "llama-index-llms-openai-like", specifier = ">=0.8.0" }, + { name = "llama-index-llms-openai-like", specifier = "==0.8.0" }, { name = "openai", specifier = ">=2.54.0,<3" }, { name = "psycopg", extras = ["binary"], specifier = ">=3.3.5" }, { name = "s3fs", specifier = ">=2026.7.0" }, From e31726c04010f02fa1e00e8b76872af0721f936e Mon Sep 17 00:00:00 2001 From: Basuru Balasuriya Date: Sat, 26 Sep 2026 22:03:27 +0530 Subject: [PATCH 17/23] fix: update permissions for pull requests in ocr_review workflow - Added `permission-pull-requests: write` to the GitHub Actions workflow in `ocr_review.yml` to allow write access for pull requests. - This change aims to enhance the workflow's functionality by enabling necessary permissions for effective pull request management. --- .github/workflows/ocr_review.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/.github/workflows/ocr_review.yml b/.github/workflows/ocr_review.yml index 5d87a2e..7162a36 100644 --- a/.github/workflows/ocr_review.yml +++ b/.github/workflows/ocr_review.yml @@ -57,6 +57,7 @@ jobs: with: app-id: ${{ secrets.GH_APP_ID }} private-key: ${{ secrets.GH_APP_PRIVATE_KEY }} + permission-pull-requests: write - name: Resolve comment PR refs id: pr-context From 56cc5584e9459d0dd9bd701bb9c6b8a9c5515370 Mon Sep 17 00:00:00 2001 From: Basuru Balasuriya Date: Sat, 26 Sep 2026 22:10:07 +0530 Subject: [PATCH 18/23] fix: refine comment handling in ocr_review workflow - Updated the conditions for triggering the `/open-code-review` command in the `ocr_review.yml` workflow to allow for both exact matches and commands followed by a space. This change enhances the flexibility of user input, ensuring that the command is recognized correctly in various formats. - This improvement aims to streamline the interaction process for users initiating code reviews. --- .github/workflows/ocr_review.yml | 10 ++++++++-- 1 file changed, 8 insertions(+), 2 deletions(-) diff --git a/.github/workflows/ocr_review.yml b/.github/workflows/ocr_review.yml index 7162a36..764d70f 100644 --- a/.github/workflows/ocr_review.yml +++ b/.github/workflows/ocr_review.yml @@ -30,7 +30,10 @@ jobs: || github.event.comment.author_association == 'MEMBER' || github.event.comment.author_association == 'COLLABORATOR' ) - && startsWith(github.event.comment.body, '/open-code-review') + && ( + github.event.comment.body == '/open-code-review' + || startsWith(github.event.comment.body, '/open-code-review ') + ) ) ) && format('ocr-{0}', github.event.pull_request.number || github.event.issue.number) @@ -48,7 +51,10 @@ jobs: || github.event.comment.author_association == 'MEMBER' || github.event.comment.author_association == 'COLLABORATOR' ) - && startsWith(github.event.comment.body, '/open-code-review') + && ( + github.event.comment.body == '/open-code-review' + || startsWith(github.event.comment.body, '/open-code-review ') + ) ) steps: - name: Get GitHub App Token From 15946ab6d02abfd46b87bc88072cf2209075fc8e Mon Sep 17 00:00:00 2001 From: Basuru Balasuriya Date: Sat, 26 Sep 2026 22:20:14 +0530 Subject: [PATCH 19/23] fix: enhance pull request validation in ocr_review workflow - Added checks to ensure the pull request is open and that the base reference and head SHA conform to expected formats in the `ocr_review.yml` workflow. - These improvements aim to strengthen the validation process, preventing errors related to invalid pull request states and ensuring proper handling of references and SHAs. --- .github/workflows/ocr_review.yml | 13 +++++++++++++ 1 file changed, 13 insertions(+) diff --git a/.github/workflows/ocr_review.yml b/.github/workflows/ocr_review.yml index 764d70f..27b5039 100644 --- a/.github/workflows/ocr_review.yml +++ b/.github/workflows/ocr_review.yml @@ -80,8 +80,21 @@ jobs: ;; esac pr="$(gh api "repos/${GITHUB_REPOSITORY}/pulls/${PR_NUMBER}")" + state="$(jq -er .state <<<"$pr")" + if [[ "$state" != "open" ]]; then + echo "Pull request is not open (state=${state})" >&2 + exit 1 + fi base_ref="$(jq -er .base.ref <<<"$pr")" head_sha="$(jq -er .head.sha <<<"$pr")" + if [[ ! "$base_ref" =~ ^[A-Za-z0-9._/-]+$ ]]; then + echo "Pull request base ref has an unexpected shape" >&2 + exit 1 + fi + if [[ ! "$head_sha" =~ ^[0-9a-f]{40}$ ]]; then + echo "Pull request head SHA has an unexpected shape" >&2 + exit 1 + fi echo "base_ref=${base_ref}" >> "$GITHUB_OUTPUT" echo "head_sha=${head_sha}" >> "$GITHUB_OUTPUT" From 1ec42ff8bae6efc631887ce72caddf9f1a15a6f5 Mon Sep 17 00:00:00 2001 From: Basuru Balasuriya Date: Sat, 26 Sep 2026 22:35:41 +0530 Subject: [PATCH 20/23] fix: update LLM configuration in ocr_review workflow - Changed the LLM protocol to "openai" and set the `llm_use_anthropic` parameter to "false" in the `ocr_review.yml` workflow. - This update aims to refine the LLM integration settings, ensuring compatibility and alignment with the current project requirements. --- .github/workflows/ocr_review.yml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/.github/workflows/ocr_review.yml b/.github/workflows/ocr_review.yml index 27b5039..d699f8c 100644 --- a/.github/workflows/ocr_review.yml +++ b/.github/workflows/ocr_review.yml @@ -107,5 +107,6 @@ jobs: llm_url: ${{ secrets.OCR_LLM_URL }} llm_auth_token: ${{ secrets.OCR_LLM_AUTH_TOKEN }} llm_model: ${{ vars.OCR_LLM_MODEL }} - llm_use_anthropic: ${{ vars.OCR_LLM_USE_ANTHROPIC }} + llm_protocol: openai + llm_use_anthropic: "false" llm_extra_body: '{"reasoning":{"enabled":true}}' From dc85ee800ab2ed91f90a55511e32fd50ffd5b3d0 Mon Sep 17 00:00:00 2001 From: Basuru Balasuriya Date: Sat, 26 Sep 2026 22:50:24 +0530 Subject: [PATCH 21/23] fix: update LLM authentication token in ocr_review workflow - Changed the LLM authentication token variable from `OCR_LLM_AUTH_TOKEN` to `OCR_LLM_TOKEN` in the `ocr_review.yml` workflow. - This update aims to align the configuration with the current naming conventions for improved clarity and consistency. --- .github/workflows/ocr_review.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/ocr_review.yml b/.github/workflows/ocr_review.yml index d699f8c..aa654b5 100644 --- a/.github/workflows/ocr_review.yml +++ b/.github/workflows/ocr_review.yml @@ -105,7 +105,7 @@ jobs: base_ref: ${{ steps.pr-context.outputs.base_ref }} head_sha: ${{ steps.pr-context.outputs.head_sha }} llm_url: ${{ secrets.OCR_LLM_URL }} - llm_auth_token: ${{ secrets.OCR_LLM_AUTH_TOKEN }} + llm_auth_token: ${{ secrets.OCR_LLM_TOKEN }} llm_model: ${{ vars.OCR_LLM_MODEL }} llm_protocol: openai llm_use_anthropic: "false" From 29c3a39fce3ee4b9746418673bcc44d51c995915 Mon Sep 17 00:00:00 2001 From: Basuru Balasuriya Date: Sat, 26 Sep 2026 23:09:10 +0530 Subject: [PATCH 22/23] fix: improve base reference validation in ocr_review workflow - Updated the base reference validation logic in the `ocr_review.yml` workflow to use `git check-ref-format` for more robust checking of the base reference format. - This change aims to enhance the validation process, ensuring that only properly formatted references are accepted, thereby reducing potential errors in pull request handling. --- .github/workflows/ocr_review.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/ocr_review.yml b/.github/workflows/ocr_review.yml index aa654b5..50cc3ec 100644 --- a/.github/workflows/ocr_review.yml +++ b/.github/workflows/ocr_review.yml @@ -87,7 +87,7 @@ jobs: fi base_ref="$(jq -er .base.ref <<<"$pr")" head_sha="$(jq -er .head.sha <<<"$pr")" - if [[ ! "$base_ref" =~ ^[A-Za-z0-9._/-]+$ ]]; then + if ! git check-ref-format "refs/heads/${base_ref}"; then echo "Pull request base ref has an unexpected shape" >&2 exit 1 fi From 442459c2e762119b16bb58e4b28ada272809be65 Mon Sep 17 00:00:00 2001 From: Basuru Balasuriya Date: Sat, 26 Sep 2026 23:35:47 +0530 Subject: [PATCH 23/23] fix: add LLM token validation in ocr_review workflow - Introduced a check to ensure the `OCR_LLM_TOKEN` secret is not empty in the `ocr_review.yml` workflow. This validation prevents authentication failures against the LLM endpoint, particularly for forked pull requests that do not receive secrets. - This change aims to enhance the security and reliability of the review process by ensuring that the necessary authentication token is available before proceeding. --- .github/workflows/ocr_review.yml | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/.github/workflows/ocr_review.yml b/.github/workflows/ocr_review.yml index 50cc3ec..89f004e 100644 --- a/.github/workflows/ocr_review.yml +++ b/.github/workflows/ocr_review.yml @@ -98,6 +98,15 @@ jobs: echo "base_ref=${base_ref}" >> "$GITHUB_OUTPUT" echo "head_sha=${head_sha}" >> "$GITHUB_OUTPUT" + - name: Require LLM token + env: + OCR_LLM_TOKEN: ${{ secrets.OCR_LLM_TOKEN }} + run: | + if [ -z "$OCR_LLM_TOKEN" ]; then + echo "::error::OCR_LLM_TOKEN secret is empty; the review cannot authenticate against the LLM endpoint (fork pull requests never receive secrets)" + exit 1 + fi + - uses: alibaba/open-code-review@bccbc15f785269400735d5255540c231e6c02b6d # v1.12.9 with: github_token: ${{ steps.app-token.outputs.token }}