."""
+ c = _make_connector(auth_type=AuthType.BEARER)
+ c.load_credentials({"token": "tok_abc"})
+ assert c._auth_headers == {"Authorization": "Bearer tok_abc"}
+
+ @patch("common.data_source.rest_api_connector.socket.getaddrinfo",
+ return_value=[(2, 1, 6, "", ("93.184.216.34", 0))])
+ def test_basic_auth(self, _dns):
+ """basic should produce an HTTPBasicAuth object."""
+ c = _make_connector(auth_type=AuthType.BASIC)
+ c.load_credentials({"username": "user", "password": "pass"})
+ assert c._basic_auth is not None
+ assert c._basic_auth.username == "user"
+ assert c._basic_auth.password == "pass"
+
+
+# ===================================================================== #
+# 4. Field extraction #
+# ===================================================================== #
+
+class TestFieldExtraction:
+ """Test _extract_field / _extract_field_values dot-notation paths."""
+
+ @patch("common.data_source.rest_api_connector.socket.getaddrinfo",
+ return_value=[(2, 1, 6, "", ("93.184.216.34", 0))])
+ def setup_method(self, method, _dns=None):
+ with patch("common.data_source.rest_api_connector.socket.getaddrinfo",
+ return_value=[(2, 1, 6, "", ("93.184.216.34", 0))]):
+ self.connector = _make_connector()
+
+ def test_simple_field(self):
+ """Top-level field extraction."""
+ assert self.connector._extract_field({"title": "Hello"}, "title") == "Hello"
+
+ def test_dot_notation_nested(self):
+ """Dot-notation nested field."""
+ item = {"country": {"name": "Kuwait"}}
+ assert self.connector._extract_field(item, "country.name") == "Kuwait"
+
+ def test_array_wildcard(self):
+ """Wildcard [*] returns all array elements."""
+ item = {"tags": [{"name": "A"}, {"name": "B"}]}
+ result = self.connector._extract_field(item, "tags[*].name")
+ assert result == ["A", "B"]
+
+ def test_missing_field_returns_none(self):
+ """Missing field returns None."""
+ assert self.connector._extract_field({"a": 1}, "nonexistent") is None
+
+ def test_missing_field_with_default(self):
+ """Missing field returns configured default value."""
+ with patch("common.data_source.rest_api_connector.socket.getaddrinfo",
+ return_value=[(2, 1, 6, "", ("93.184.216.34", 0))]):
+ c = _make_connector(field_default_values={"missing": "fallback"})
+ result = c._get_typed_field_value("missing", {"other": 1})
+ assert result == "fallback"
+
+ def test_deeply_nested_path(self):
+ """Multi-level dot-notation path."""
+ item = {"a": {"b": {"c": {"d": 42}}}}
+ assert self.connector._extract_field(item, "a.b.c.d") == 42
+
+
+# ===================================================================== #
+# 5. Items array detection #
+# ===================================================================== #
+
+class TestItemsArrayDetection:
+ """Test _extract_items auto-detection of the items array."""
+
+ @patch("common.data_source.rest_api_connector.socket.getaddrinfo",
+ return_value=[(2, 1, 6, "", ("93.184.216.34", 0))])
+ def setup_method(self, method, _dns=None):
+ with patch("common.data_source.rest_api_connector.socket.getaddrinfo",
+ return_value=[(2, 1, 6, "", ("93.184.216.34", 0))]):
+ self.connector = _make_connector()
+
+ def test_items_key(self):
+ """Detect 'items' key."""
+ resp = {"items": [{"id": 1}]}
+ assert self.connector._extract_items(resp) == [{"id": 1}]
+
+ def test_results_key(self):
+ """Detect 'results' key."""
+ resp = {"results": [{"id": 2}]}
+ assert self.connector._extract_items(resp) == [{"id": 2}]
+
+ def test_data_key(self):
+ """Detect 'data' key."""
+ resp = {"data": [{"id": 3}]}
+ assert self.connector._extract_items(resp) == [{"id": 3}]
+
+ def test_records_key(self):
+ """Detect 'records' key."""
+ resp = {"records": [{"id": 4}]}
+ assert self.connector._extract_items(resp) == [{"id": 4}]
+
+ def test_custom_key_fallback(self):
+ """Fall back to the first list value in the dict."""
+ resp = {"totalCount": 5, "stories": [{"id": 5}]}
+ assert self.connector._extract_items(resp) == [{"id": 5}]
+
+ def test_response_is_list(self):
+ """Response that is directly a list."""
+ resp = [{"id": 6}, {"id": 7}]
+ assert self.connector._extract_items(resp) == [{"id": 6}, {"id": 7}]
+
+ def test_empty_response(self):
+ """Empty dict returns empty list."""
+ assert self.connector._extract_items({}) == []
+
+ def test_no_list_in_response(self):
+ """Dict with no list values returns empty list."""
+ assert self.connector._extract_items({"count": 0}) == []
+
+
+# ===================================================================== #
+# 6. HTML stripping #
+# ===================================================================== #
+
+class TestHTMLStripping:
+ """Test the _strip_html static method."""
+
+ def test_basic_tag_removal(self):
+ """Remove simple HTML tags."""
+ assert RestAPIConnector._strip_html("Hello
") == "Hello"
+
+ def test_whitespace_collapsing(self):
+ """Multiple whitespace chars collapse to single space."""
+ assert RestAPIConnector._strip_html("Hello
World
") == "Hello World"
+
+ def test_empty_string(self):
+ """Empty input returns empty output."""
+ assert RestAPIConnector._strip_html("") == ""
+
+ def test_plain_text_passthrough(self):
+ """Text without HTML passes through unchanged."""
+ assert RestAPIConnector._strip_html("Hello World") == "Hello World"
+
+ def test_nested_tags(self):
+ """Nested HTML tags are all stripped."""
+ result = RestAPIConnector._strip_html("")
+ assert result == "Bold text"
+
+ def test_html_with_attributes(self):
+ """Tags with attributes are stripped."""
+ result = RestAPIConnector._strip_html('Link')
+ assert result == "Link"
+
+
+# ===================================================================== #
+# 7. Document creation #
+# ===================================================================== #
+
+class TestDocumentCreation:
+ """Test _item_to_document mapping."""
+
+ @patch("common.data_source.rest_api_connector.socket.getaddrinfo",
+ return_value=[(2, 1, 6, "", ("93.184.216.34", 0))])
+ def setup_method(self, method, _dns=None):
+ with patch("common.data_source.rest_api_connector.socket.getaddrinfo",
+ return_value=[(2, 1, 6, "", ("93.184.216.34", 0))]):
+ self.connector = _make_connector(
+ id_field="id",
+ content_fields=["title", "body"],
+ metadata_fields=["author"],
+ )
+
+ def test_document_id_from_configured_field(self):
+ """Document ID uses the configured id_field."""
+ item = {"id": "abc", "title": "T", "body": "B", "author": "A"}
+ doc = self.connector._item_to_document(item)
+ assert doc.id is not None and len(doc.id) > 0
+
+ def test_semantic_identifier_from_first_content_field(self):
+ """semantic_identifier comes from the first content field."""
+ item = {"id": "1", "title": "My Title", "body": "Body", "author": "A"}
+ doc = self.connector._item_to_document(item)
+ assert "My Title" in doc.semantic_identifier
+
+ def test_content_blob_contains_all_fields(self):
+ """Blob should contain both content fields."""
+ item = {"id": "1", "title": "Title", "body": "Body text", "author": "A"}
+ doc = self.connector._item_to_document(item)
+ content = doc.blob.decode("utf-8")
+ assert "Title" in content
+ assert "Body text" in content
+
+ def test_metadata_populated(self):
+ """Metadata dict is populated from configured metadata_fields."""
+ item = {"id": "1", "title": "T", "body": "B", "author": "Jane"}
+ doc = self.connector._item_to_document(item)
+ assert doc.metadata is not None
+ assert doc.metadata["author"] == "Jane"
+
+ def test_html_stripped_from_content(self):
+ """HTML tags are removed from content fields."""
+ item = {"id": "1", "title": "T", "body": "Clean
", "author": "A"}
+ doc = self.connector._item_to_document(item)
+ content = doc.blob.decode("utf-8")
+ assert "" not in content
+ assert "Clean" in content
+
+ def test_extension_is_txt(self):
+ """Document extension should be .txt."""
+ item = {"id": "1", "title": "T", "body": "B", "author": "A"}
+ doc = self.connector._item_to_document(item)
+ assert doc.extension == ".txt"
+
+ def test_missing_content_fields_graceful(self):
+ """Missing content fields produce an empty blob gracefully."""
+ item = {"id": "1", "author": "A"}
+ doc = self.connector._item_to_document(item)
+ assert doc.blob == b""
+
+
+# ===================================================================== #
+# 8. Pagination behaviour #
+# ===================================================================== #
+
+class TestPaginationBehavior:
+ """Test pagination iteration with mocked HTTP responses."""
+
+ def test_page_pagination_increments(self):
+ """Page-based pagination should increment the page param."""
+ with _mocked_rest_api_requests_and_dns() as mock_rl:
+ page1 = _mock_response({"items": [{"title": "A"}, {"title": "B"}]})
+ page2 = _mock_response({"items": []})
+ mock_rl.get.side_effect = [page1, page2]
+
+ c = _make_paged_connector()
+ items = list(c._iter_items())
+ assert len(items) == 2
+ assert mock_rl.get.call_count == 2
+
+ def test_offset_pagination_increments(self):
+ """Offset-based pagination should increment offset by limit."""
+ with _mocked_rest_api_requests_and_dns() as mock_rl:
+ page1 = _mock_response({"items": [{"title": "A"}]})
+ page2 = _mock_response({"items": []})
+ mock_rl.get.side_effect = [page1, page2]
+
+ c = _make_connector(
+ pagination_type=PaginationType.OFFSET,
+ pagination_config={
+ "offset_param": "offset",
+ "limit_param": "limit",
+ "limit": 10,
+ },
+ request_delay=0,
+ )
+ items = list(c._iter_items())
+ assert len(items) == 1
+
+ def test_stops_on_empty_results(self):
+ """Pagination stops when empty items are returned."""
+ with _mocked_rest_api_requests_and_dns() as mock_rl:
+ mock_rl.get.return_value = _mock_response({"items": []})
+
+ c = _make_paged_connector()
+ items = list(c._iter_items())
+ assert items == []
+ assert mock_rl.get.call_count == 1
+
+ def test_stops_when_fewer_items_than_page_size(self):
+ """Pagination stops when fewer items than page_size are returned."""
+ with _mocked_rest_api_requests_and_dns() as mock_rl:
+ page1 = _mock_response({"items": [{"title": "A"}]})
+ mock_rl.get.return_value = page1
+
+ c = _make_paged_connector(
+ pagination_config={"page_param": "page", "page_size": 10},
+ )
+ items = list(c._iter_items())
+ assert len(items) == 1
+ assert mock_rl.get.call_count == 1
+
+ def test_max_pages_cap(self):
+ """Pagination respects the max_pages safety cap."""
+ with _mocked_rest_api_requests_and_dns() as mock_rl:
+ mock_rl.get.return_value = _mock_response(
+ {"items": [{"title": "A"}, {"title": "B"}]}
+ )
+
+ c = _make_paged_connector(
+ max_pages=3,
+ pagination_config={"page_param": "page", "page_size": 2},
+ )
+ list(c._iter_items())
+ assert mock_rl.get.call_count == 3
+
+ def test_request_delay_applied(self):
+ """request_delay should cause a sleep between pages."""
+ with _mocked_rest_api_requests_and_dns() as mock_rl:
+ with patch("common.data_source.rest_api_connector.time.sleep") as mock_sleep:
+ page1 = _mock_response({"items": [{"title": "A"}, {"title": "B"}]})
+ page2 = _mock_response({"items": []})
+ mock_rl.get.side_effect = [page1, page2]
+
+ c = _make_paged_connector(
+ pagination_config={"page_param": "page", "page_size": 2},
+ )
+ c.request_delay = 1.5
+ list(c._iter_items())
+ mock_sleep.assert_called_once_with(1.5)
+
+
+# ===================================================================== #
+# 9. Non-retriable HTTP errors #
+# ===================================================================== #
+
+class TestNonRetriableErrors:
+ """Test that HTTP errors are classified correctly in _fetch_page."""
+
+ def test_401_raises_credential_error(self):
+ """401 should raise ConnectorMissingCredentialError immediately."""
+ with _mocked_rest_api_requests_and_dns() as mock_rl:
+ mock_rl.get.return_value = _mock_response({}, status_code=401)
+ c = _make_connector(request_delay=0)
+ c.load_credentials({})
+ with pytest.raises(ConnectorMissingCredentialError):
+ c._fetch_page({})
+
+ def test_403_raises_credential_error(self):
+ """403 should raise ConnectorMissingCredentialError immediately."""
+ with _mocked_rest_api_requests_and_dns() as mock_rl:
+ mock_rl.get.return_value = _mock_response({}, status_code=403)
+ c = _make_connector(request_delay=0)
+ c.load_credentials({})
+ with pytest.raises(ConnectorMissingCredentialError):
+ c._fetch_page({})
+
+ def test_404_raises_validation_error(self):
+ """404 should raise ConnectorValidationError (no retry)."""
+ with _mocked_rest_api_requests_and_dns() as mock_rl:
+ mock_rl.get.return_value = _mock_response({}, status_code=404)
+ c = _make_connector(request_delay=0)
+ c.load_credentials({})
+ with pytest.raises(ConnectorValidationError, match="non-retriable"):
+ c._fetch_page({})
+
+ def test_400_raises_validation_error(self):
+ """400 should raise ConnectorValidationError (no retry)."""
+ with _mocked_rest_api_requests_and_dns() as mock_rl:
+ mock_rl.get.return_value = _mock_response({}, status_code=400)
+ c = _make_connector(request_delay=0)
+ c.load_credentials({})
+ with pytest.raises(ConnectorValidationError, match="non-retriable"):
+ c._fetch_page({})
+
+ def test_500_triggers_retry(self):
+ """500 should raise HTTPError (which the retry decorator catches)."""
+ with _mocked_rest_api_requests_and_dns() as mock_rl:
+ mock_rl.get.return_value = _mock_response({}, status_code=500)
+ c = _make_connector(request_delay=0)
+ c.load_credentials({})
+ with pytest.raises(requests.HTTPError):
+ c._fetch_page({})
+
+ def test_429_triggers_retry(self):
+ """429 should raise HTTPError (retriable, not ConnectorValidationError)."""
+ with _mocked_rest_api_requests_and_dns() as mock_rl:
+ mock_rl.get.return_value = _mock_response({}, status_code=429)
+ c = _make_connector(request_delay=0)
+ c.load_credentials({})
+ with pytest.raises(requests.HTTPError):
+ c._fetch_page({})
diff --git a/test/unit_test/memory/utils/test_ob_conn_aggregation.py b/test/unit_test/memory/utils/test_ob_conn_aggregation.py
index cf136eb2087..a409a5c2556 100644
--- a/test/unit_test/memory/utils/test_ob_conn_aggregation.py
+++ b/test/unit_test/memory/utils/test_ob_conn_aggregation.py
@@ -20,6 +20,8 @@
without requiring a real OceanBase instance or heavy dependencies.
"""
+import pytest
+
from memory.utils.aggregation_utils import aggregate_by_field
@@ -53,3 +55,24 @@ def test_pre_aggregated_value_count_rows(self):
]
out = aggregate_by_field(messages, "message_type_kwd")
assert set(out) == {("user", 2), ("assistant", 1)}
+
+ @pytest.mark.p2
+ def test_aggregates_list_values_and_trims_whitespace(self):
+ messages = [
+ {"id": "m1", "tags_kwd": [" alpha ", "beta", ""]},
+ {"id": "m2", "tags_kwd": ["alpha", " beta "]},
+ {"id": "m3", "tags_kwd": ["gamma", None, 1]},
+ ]
+ out = aggregate_by_field(messages, "tags_kwd")
+ assert set(out) == {("alpha", 2), ("beta", 2), ("gamma", 1)}
+
+ @pytest.mark.p2
+ def test_ignores_non_string_and_blank_scalar_values(self):
+ messages = [
+ {"id": "m1", "message_type_kwd": " "},
+ {"id": "m2", "message_type_kwd": None},
+ {"id": "m3", "message_type_kwd": 1},
+ {"id": "m4", "message_type_kwd": "assistant"},
+ ]
+ out = aggregate_by_field(messages, "message_type_kwd")
+ assert out == [("assistant", 1)]
diff --git a/test/unit_test/rag/app/__init__.py b/test/unit_test/rag/app/__init__.py
new file mode 100644
index 00000000000..e69de29bb2d
diff --git a/test/unit_test/rag/app/test_table_chunk_column_roles.py b/test/unit_test/rag/app/test_table_chunk_column_roles.py
new file mode 100644
index 00000000000..40eed2ae5b6
--- /dev/null
+++ b/test/unit_test/rag/app/test_table_chunk_column_roles.py
@@ -0,0 +1,235 @@
+#
+# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+#
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License on an "AS IS" BASIS, WITHOUT WARRANTIES
+# OR CONDITIONS OF ANY KIND, either express or implied. See the License
+# for the specific language governing permissions and limitations under
+# the License.
+#
+
+"""Integration-style tests for rag.app.table.chunk() column roles (mocked KB + tokenizer)."""
+
+from __future__ import annotations
+
+import sys
+from unittest.mock import MagicMock, patch
+
+# Mock heavy modules that trigger ONNX model loading at import time
+# table.py -> deepdoc.parser.figure_parser -> rag.app.picture -> OCR()
+for mod in [
+ "deepdoc.vision.ocr",
+ "deepdoc.parser.figure_parser",
+ "rag.app.picture",
+]:
+ if mod not in sys.modules:
+ sys.modules[mod] = MagicMock()
+
+import warnings
+
+# Importing rag.app.table pulls api -> rag.llm -> deepdoc -> xgboost; xgboost may warn on
+# pkg_resources in a way that breaks its compat shim unless pkg_resources loads first.
+warnings.filterwarnings("ignore", message=".*pkg_resources is deprecated.*", category=UserWarning)
+import pkg_resources # noqa: F401 — stabilize xgboost import during collection
+
+import pytest
+
+import common.settings as settings
+from rag.app.table import chunk
+
+# chunk() removes columns named id, _id, index, idx — use row_id instead of id.
+TEST_CSV = b"""row_id,title,content,country,category
+1,Earthquake hits Turkey,A 5.8 magnitude earthquake struck Konya,Turkey,Disaster
+2,Oil prices surge,Brent crude jumped 4.2 percent,Global,Economy
+3,AI regulation proposed,EU unveiled a draft regulation,EU,Technology
+"""
+
+FILENAME = "test.csv"
+KB_ID = "test_kb_id"
+
+
+def _noop_callback(*_a, **_k):
+ pass
+
+
+@pytest.fixture(autouse=True)
+def _es_doc_engine(monkeypatch):
+ monkeypatch.setattr(settings, "DOC_ENGINE_INFINITY", False)
+ monkeypatch.setattr(settings, "DOC_ENGINE_OCEANBASE", False)
+
+
+@pytest.fixture(autouse=True)
+def _stub_rag_tokenizer(monkeypatch):
+ """Avoid NLTK / infinity tokenizer deps; keep string content inspectable."""
+
+ def fake_tokenize(line):
+ return str(line)
+
+ monkeypatch.setattr("rag.nlp.rag_tokenizer.tokenize", fake_tokenize)
+ monkeypatch.setattr("rag.nlp.rag_tokenizer.fine_grained_tokenize", fake_tokenize)
+
+
+@pytest.fixture
+def mock_update_kb():
+ with patch("rag.app.table.KnowledgebaseService.update_parser_config") as m:
+ yield m
+
+
+def _run_chunk(parser_config: dict, mock_update_kb: MagicMock):
+ return chunk(
+ FILENAME,
+ binary=TEST_CSV,
+ callback=_noop_callback,
+ kb_id=KB_ID,
+ parser_config=parser_config,
+ lang="Chinese",
+ )
+
+
+def test_chunk_auto_mode_all_columns_in_text_and_stored(mock_update_kb: MagicMock):
+ parser_config: dict = {}
+ chunks = _run_chunk(parser_config, mock_update_kb)
+ assert len(chunks) == 3
+ first = chunks[0]
+ cww = first["content_with_weight"]
+ assert "Earthquake hits Turkey" in cww
+ assert "Konya" in cww
+ assert "Turkey" in cww
+ assert "Disaster" in cww
+ assert "1" in cww or "row_id" in cww
+ # ES path: stored typed fields for text columns include *_tks and *_raw; row_id is int -> *_long
+ assert "row_id_long" in first
+ assert "title_raw" in first and "country_raw" in first
+
+
+def test_chunk_manual_mode_indexing_only(mock_update_kb: MagicMock):
+ parser_config = {
+ "table_column_mode": "manual",
+ "table_column_roles": {
+ "title": "indexing",
+ "content": "indexing",
+ "row_id": "metadata",
+ "country": "metadata",
+ "category": "metadata",
+ },
+ }
+ chunks = _run_chunk(parser_config, mock_update_kb)
+ first = chunks[0]
+ cww = first["content_with_weight"]
+ assert "- title:" in cww and "Earthquake" in cww
+ assert "- content:" in cww and "Konya" in cww
+ assert "- country:" not in cww
+ assert "- category:" not in cww
+ assert "- row_id:" not in cww
+ # Column title/content not stored as table fields
+ assert "title_raw" not in first
+ assert "content_raw" not in first
+ assert "country_raw" in first and "category_raw" in first
+ assert "row_id_long" in first
+
+
+def test_chunk_manual_mode_legacy_vectorize_role(mock_update_kb: MagicMock):
+ """Stored configs may still use role *vectorize*; chunking treats it like *indexing*."""
+ parser_config = {
+ "table_column_mode": "manual",
+ "table_column_roles": {
+ "title": "vectorize",
+ "content": "indexing",
+ "row_id": "metadata",
+ "country": "metadata",
+ "category": "metadata",
+ },
+ }
+ chunks = _run_chunk(parser_config, mock_update_kb)
+ first = chunks[0]
+ cww = first["content_with_weight"]
+ assert "- title:" in cww and "Earthquake" in cww
+ assert "- content:" in cww and "Konya" in cww
+ assert "- country:" not in cww
+
+
+def test_chunk_manual_mode_metadata_only(mock_update_kb: MagicMock):
+ parser_config = {
+ "table_column_mode": "manual",
+ "table_column_roles": {
+ "title": "metadata",
+ "content": "metadata",
+ "row_id": "metadata",
+ "country": "metadata",
+ "category": "metadata",
+ },
+ }
+ chunks = _run_chunk(parser_config, mock_update_kb)
+ first = chunks[0]
+ assert (first.get("content_with_weight") or "").strip() == ""
+ assert "country_raw" in first and "title_raw" in first
+
+
+def test_chunk_manual_mode_both(mock_update_kb: MagicMock):
+ parser_config = {
+ "table_column_mode": "manual",
+ "table_column_roles": {c: "both" for c in ["title", "content", "country", "category", "row_id"]},
+ }
+ chunks = _run_chunk(parser_config, mock_update_kb)
+ first = chunks[0]
+ cww = first["content_with_weight"]
+ assert "Earthquake hits Turkey" in cww
+ assert "Turkey" in cww
+ assert "Disaster" in cww
+ assert "row_id_long" in first
+ assert "title_raw" in first and "country_raw" in first
+
+
+def test_chunk_manual_mode_partial_roles_default_to_both(mock_update_kb: MagicMock):
+ parser_config = {
+ "table_column_mode": "manual",
+ "table_column_roles": {
+ "title": "indexing",
+ "country": "metadata",
+ },
+ }
+ chunks = _run_chunk(parser_config, mock_update_kb)
+ first = chunks[0]
+ cww = first["content_with_weight"]
+ assert "- title:" in cww and "Earthquake" in cww
+ assert "- country:" not in cww
+ assert "- row_id:" in cww
+ assert "- content:" in cww
+ assert "- category:" in cww
+ assert "title_raw" not in first
+ assert "country_raw" in first and "country_tks" in first
+ assert "content_raw" in first and "category_raw" in first
+
+
+def test_chunk_manual_mode_raw_fields_for_es(mock_update_kb: MagicMock):
+ parser_config = {
+ "table_column_mode": "manual",
+ "table_column_roles": {c: "both" for c in ["title", "content", "country", "category", "row_id"]},
+ }
+ chunks = _run_chunk(parser_config, mock_update_kb)
+ first = chunks[0]
+ for col in ("title", "content", "country", "category"):
+ assert f"{col}_raw" in first
+ assert f"{col}_tks" in first
+
+
+def test_chunk_updates_table_column_names(mock_update_kb: MagicMock):
+ _run_chunk({}, mock_update_kb)
+ mock_update_kb.assert_called_once()
+ args, kwargs = mock_update_kb.call_args
+ assert args[0] == KB_ID
+ payload = args[1]
+ names = payload["table_column_names"]
+ assert names == ["row_id", "title", "content", "country", "category"]
+
+
+def test_chunk_count_matches_row_count(mock_update_kb: MagicMock):
+ chunks = _run_chunk({}, mock_update_kb)
+ assert len(chunks) == 3
diff --git a/test/unit_test/rag/conftest.py b/test/unit_test/rag/conftest.py
new file mode 100644
index 00000000000..3ca5e289e9a
--- /dev/null
+++ b/test/unit_test/rag/conftest.py
@@ -0,0 +1,58 @@
+#
+# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+"""Restore the real ``common.data_source`` package before importing rag unit tests.
+
+``test/unit_test/data_source/conftest.py`` registers a lightweight
+``sys.modules["common.data_source"]`` stub so submodule imports skip the heavy
+package ``__init__.py``. Pytest collection order visits ``data_source/`` before
+``rag/``, so without this hook ``rag.svr.sync_data_source`` fails on
+``from common.data_source import BlobStorageConnector``.
+"""
+
+from __future__ import annotations
+
+import importlib
+import sys
+import types
+
+
+def _restore_common_data_source_package() -> None:
+ mod = sys.modules.get("common.data_source")
+ if mod is None:
+ return
+ # Stub is a bare types.ModuleType with __path__ and no __file__; real package has __init__.py.
+ if getattr(mod, "__file__", None) is not None:
+ return
+ if not isinstance(mod, types.ModuleType) or not getattr(mod, "__path__", None):
+ return
+ keys = [
+ key
+ for key in sys.modules
+ if key == "common.data_source" or key.startswith("common.data_source.")
+ ]
+ for key in keys:
+ del sys.modules[key]
+ importlib.invalidate_caches()
+ try:
+ importlib.import_module("common.data_source")
+ except Exception as exc: # pragma: no cover
+ raise ImportError(
+ "conftest: failed to restore real common.data_source package"
+ ) from exc
+
+
+_restore_common_data_source_package()
diff --git a/test/unit_test/rag/prompts/test_generator_message_fit_in.py b/test/unit_test/rag/prompts/test_generator_message_fit_in.py
new file mode 100644
index 00000000000..925c203e68a
--- /dev/null
+++ b/test/unit_test/rag/prompts/test_generator_message_fit_in.py
@@ -0,0 +1,151 @@
+#
+# Copyright 2024 The InfiniFlow Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import importlib.util
+import sys
+from pathlib import Path
+from types import ModuleType, SimpleNamespace
+
+import pytest
+
+
+class _CharEncoder:
+ @staticmethod
+ def encode(text):
+ return list(text)
+
+ @staticmethod
+ def decode(tokens):
+ return "".join(tokens)
+
+
+def _load_generator_module(monkeypatch):
+ repo_root = Path(__file__).resolve().parents[4]
+
+ json_repair = ModuleType("json_repair")
+ json_repair.repair_json = lambda text, **_kwargs: text
+ monkeypatch.setitem(sys.modules, "json_repair", json_repair)
+
+ common_pkg = ModuleType("common")
+ common_pkg.__path__ = [str(repo_root / "common")]
+ monkeypatch.setitem(sys.modules, "common", common_pkg)
+
+ misc_utils = ModuleType("common.misc_utils")
+ misc_utils.hash_str2int = lambda value, _mod=500: 0
+ monkeypatch.setitem(sys.modules, "common.misc_utils", misc_utils)
+
+ constants = ModuleType("common.constants")
+ constants.TAG_FLD = "tag"
+ monkeypatch.setitem(sys.modules, "common.constants", constants)
+
+ token_utils = ModuleType("common.token_utils")
+ token_utils.encoder = _CharEncoder()
+ token_utils.num_tokens_from_string = lambda text: len(text)
+ monkeypatch.setitem(sys.modules, "common.token_utils", token_utils)
+
+ rag_pkg = ModuleType("rag")
+ rag_pkg.__path__ = [str(repo_root / "rag")]
+ monkeypatch.setitem(sys.modules, "rag", rag_pkg)
+
+ rag_nlp = ModuleType("rag.nlp")
+ rag_nlp.rag_tokenizer = SimpleNamespace(tokenize=lambda text: text.split())
+ monkeypatch.setitem(sys.modules, "rag.nlp", rag_nlp)
+
+ rag_prompts_pkg = ModuleType("rag.prompts")
+ rag_prompts_pkg.__path__ = [str(repo_root / "rag" / "prompts")]
+ monkeypatch.setitem(sys.modules, "rag.prompts", rag_prompts_pkg)
+
+ template_mod = ModuleType("rag.prompts.template")
+ template_mod.load_prompt = lambda *_args, **_kwargs: ""
+ monkeypatch.setitem(sys.modules, "rag.prompts.template", template_mod)
+
+ spec = importlib.util.spec_from_file_location(
+ "rag.prompts.generator", repo_root / "rag" / "prompts" / "generator.py"
+ )
+ module = importlib.util.module_from_spec(spec)
+ monkeypatch.setitem(sys.modules, "rag.prompts.generator", module)
+ spec.loader.exec_module(module)
+ return module
+
+
+@pytest.mark.p1
+def test_message_fit_in_truncates_user_message_by_system_token_budget(monkeypatch):
+ generator = _load_generator_module(monkeypatch)
+ monkeypatch.setattr(generator, "num_tokens_from_string", lambda text: len(text))
+ monkeypatch.setattr(generator, "encoder", _CharEncoder())
+
+ messages = [
+ {"role": "system", "content": "1234"},
+ {"role": "user", "content": "abcdefghij"},
+ ]
+
+ used_tokens, trimmed = generator.message_fit_in(messages, max_length=8)
+
+ assert used_tokens == 8
+ assert trimmed[0]["content"] == "1234"
+ assert trimmed[-1]["content"] == "abcd"
+
+
+@pytest.mark.p1
+def test_message_fit_in_handles_zero_token_messages(monkeypatch):
+ generator = _load_generator_module(monkeypatch)
+ monkeypatch.setattr(generator, "num_tokens_from_string", lambda _text: 0)
+ monkeypatch.setattr(generator, "encoder", _CharEncoder())
+
+ messages = [
+ {"role": "system", "content": ""},
+ {"role": "user", "content": ""},
+ ]
+
+ used_tokens, trimmed = generator.message_fit_in(messages, max_length=0)
+
+ assert used_tokens == 0
+ assert trimmed == messages
+
+
+@pytest.mark.p1
+def test_message_fit_in_clamps_negative_slice_lengths(monkeypatch):
+ generator = _load_generator_module(monkeypatch)
+ monkeypatch.setattr(generator, "num_tokens_from_string", lambda text: len(text))
+ monkeypatch.setattr(generator, "encoder", _CharEncoder())
+
+ messages = [
+ {"role": "system", "content": "1234"},
+ {"role": "user", "content": "abcdefghij"},
+ ]
+
+ used_tokens, trimmed = generator.message_fit_in(messages, max_length=2)
+
+ assert used_tokens == 2
+ assert trimmed[0]["content"] == "12"
+ assert trimmed[-1]["content"] == ""
+
+
+@pytest.mark.p1
+def test_message_fit_in_clamps_dominant_last_message_to_budget(monkeypatch):
+ generator = _load_generator_module(monkeypatch)
+ monkeypatch.setattr(generator, "num_tokens_from_string", lambda text: len(text))
+ monkeypatch.setattr(generator, "encoder", _CharEncoder())
+
+ messages = [
+ {"role": "system", "content": "s" * 41},
+ {"role": "user", "content": "abcdefghij"},
+ ]
+
+ used_tokens, trimmed = generator.message_fit_in(messages, max_length=8)
+
+ assert used_tokens == 8
+ assert trimmed[0]["content"] == ""
+ assert trimmed[-1]["content"] == "abcdefgh"
diff --git a/test/unit_test/rag/svr/__init__.py b/test/unit_test/rag/svr/__init__.py
new file mode 100644
index 00000000000..895bd9cee4c
--- /dev/null
+++ b/test/unit_test/rag/svr/__init__.py
@@ -0,0 +1 @@
+# Unit tests for rag/svr
diff --git a/test/unit_test/rag/svr/test_table_column_roles_helpers.py b/test/unit_test/rag/svr/test_table_column_roles_helpers.py
new file mode 100644
index 00000000000..fe4eed27fe9
--- /dev/null
+++ b/test/unit_test/rag/svr/test_table_column_roles_helpers.py
@@ -0,0 +1,132 @@
+#
+# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+"""Unit tests for ES table metadata helpers (rag.utils.table_es_metadata)."""
+
+from rag.utils.table_es_metadata import (
+ _es_field_value_to_doc_metadata,
+ _es_raw_field_key_from_typed,
+ _probe_es_typed_key_for_column,
+ _resolve_es_chunk_field_key,
+ merge_table_parser_config_from_kb,
+ table_parser_strip_doc_metadata_keys,
+)
+
+
+class TestProbeEsTypedKeyForColumn:
+ def test_probe_es_typed_key_tks(self):
+ chunk = {"country_tks": "tok", "other": 1}
+ assert _probe_es_typed_key_for_column("country", chunk) == "country_tks"
+
+ def test_probe_es_typed_key_dt(self):
+ chunk = {"published_date_dt": "2024-01-01"}
+ assert _probe_es_typed_key_for_column("published_date", chunk) == "published_date_dt"
+
+ def test_probe_es_typed_key_raw(self):
+ # Only raw field present (no _tks) — probe returns the raw key
+ chunk = {"country_raw": "Brazil"}
+ assert _probe_es_typed_key_for_column("country", chunk) == "country_raw"
+
+ def test_probe_es_typed_key_no_match(self):
+ chunk = {"other_kwd": "x"}
+ assert _probe_es_typed_key_for_column("country", chunk) is None
+
+ def test_probe_es_typed_key_empty_col(self):
+ assert _probe_es_typed_key_for_column("", {"a_tks": "x"}) is None
+ assert _probe_es_typed_key_for_column(None, {"a_tks": "x"}) is None
+
+
+class TestResolveEsChunkFieldKey:
+ def test_resolve_es_field_empty_fieldmap_uses_probe(self):
+ sample = {"country_tks": ["tok"]}
+ tk, src = _resolve_es_chunk_field_key("country", {}, sample)
+ assert tk == "country_tks"
+ assert src == "probe"
+
+ def test_resolve_es_field_fieldmap_priority(self):
+ fm = {"guojia_tks": "country"}
+ sample = {"guojia_tks": ["x"], "country_tks": ["y"]}
+ tk, src = _resolve_es_chunk_field_key("country", fm, sample)
+ assert tk == "guojia_tks"
+ assert src == "field_map"
+
+
+class TestEsRawFieldKeyFromTyped:
+ def test_es_raw_field_key_from_tks(self):
+ assert _es_raw_field_key_from_typed("country_tks") == "country_raw"
+
+ def test_es_raw_field_key_from_non_tks(self):
+ assert _es_raw_field_key_from_typed("country_dt") is None
+
+ def test_es_raw_field_key_from_none(self):
+ assert _es_raw_field_key_from_typed(None) is None
+
+
+class TestEsFieldValueToDocMetadata:
+ def test_es_field_value_string(self):
+ assert _es_field_value_to_doc_metadata("Brazil", from_tks_fallback=False) == "Brazil"
+
+ def test_es_field_value_list_joined(self):
+ assert (
+ _es_field_value_to_doc_metadata(["hello", "world"], from_tks_fallback=True)
+ == "hello world"
+ )
+
+ def test_es_field_value_empty(self):
+ assert _es_field_value_to_doc_metadata(None, from_tks_fallback=True) is None
+ assert _es_field_value_to_doc_metadata("", from_tks_fallback=True) is None
+ assert _es_field_value_to_doc_metadata([], from_tks_fallback=True) is None
+
+
+class TestMergeTableParserConfigFromKb:
+ def test_merge_table_parser_config_from_kb(self):
+ task = {
+ "parser_id": "table",
+ "parser_config": {"llm_id": "x"},
+ "kb_parser_config": {
+ "table_column_mode": "manual",
+ "table_column_roles": {"a": "metadata"},
+ "table_column_names": ["a", "b"],
+ },
+ }
+ merged = merge_table_parser_config_from_kb(task)
+ assert merged["table_column_mode"] == "manual"
+ assert merged["table_column_roles"] == {"a": "metadata"}
+ assert merged["table_column_names"] == ["a", "b"]
+ assert merged["llm_id"] == "x"
+
+ def test_merge_table_parser_config_auto_default(self):
+ task = {
+ "parser_id": "table",
+ "parser_config": {"foo": 1},
+ "kb_parser_config": {"llm_id": "abc"},
+ }
+ merged = merge_table_parser_config_from_kb(task)
+ assert merged == {"foo": 1} # no table_* keys copied from kb without kb_parser_config keys
+
+
+class TestTableParserStripDocMetadataKeys:
+ def test_uses_table_column_names_when_present(self):
+ eff = {"table_column_names": ["Region", " SKU "]}
+ assert table_parser_strip_doc_metadata_keys(eff) == frozenset({"Region", "SKU"})
+
+ def test_falls_back_to_role_keys_when_no_names(self):
+ eff = {"table_column_roles": {"x": "metadata", "y": "indexing"}}
+ assert table_parser_strip_doc_metadata_keys(eff) == frozenset({"x", "y"})
+
+ def test_empty_names_falls_back_to_roles(self):
+ eff = {"table_column_names": [], "table_column_roles": {"only": "both"}}
+ assert table_parser_strip_doc_metadata_keys(eff) == frozenset({"only"})
diff --git a/test/unit_test/rag/svr/test_table_metadata_aggregation.py b/test/unit_test/rag/svr/test_table_metadata_aggregation.py
new file mode 100644
index 00000000000..59d2f7ee472
--- /dev/null
+++ b/test/unit_test/rag/svr/test_table_metadata_aggregation.py
@@ -0,0 +1,230 @@
+#
+# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+"""Unit tests for aggregate_table_manual_doc_metadata."""
+
+import pytest
+
+from rag.utils.table_es_metadata import aggregate_table_manual_doc_metadata, merge_table_parser_config_from_kb
+
+
+@pytest.fixture
+def es_engine(monkeypatch):
+ monkeypatch.setattr("rag.utils.table_es_metadata.settings.DOC_ENGINE_INFINITY", False)
+ monkeypatch.setattr("rag.utils.table_es_metadata.settings.DOC_ENGINE_OCEANBASE", False)
+
+
+@pytest.fixture
+def infinity_engine(monkeypatch):
+ monkeypatch.setattr("rag.utils.table_es_metadata.settings.DOC_ENGINE_INFINITY", True)
+ monkeypatch.setattr("rag.utils.table_es_metadata.settings.DOC_ENGINE_OCEANBASE", False)
+
+
+def _table_task(**kb_extra):
+ return {
+ "parser_id": "table",
+ "parser_config": {},
+ "kb_parser_config": {
+ "table_column_mode": "manual",
+ "table_column_roles": {"country": "metadata", "category": "metadata"},
+ "table_column_names": ["country", "category"],
+ "field_map": {
+ "country_tks": "country",
+ "category_tks": "category",
+ },
+ **kb_extra,
+ },
+ }
+
+
+class TestAggregateTableManualDocMetadata:
+ def test_aggregate_manual_mode_happy_path(self, es_engine):
+ task = _table_task()
+ chunks = [
+ {
+ "country_raw": "Brazil",
+ "category_raw": "Economy",
+ "country_tks": "x",
+ "category_tks": "y",
+ },
+ {
+ "country_raw": "Turkey",
+ "category_raw": "Disaster",
+ "country_tks": "x",
+ "category_tks": "y",
+ },
+ {
+ "country_raw": "Brazil",
+ "category_raw": "Economy",
+ "country_tks": "x",
+ "category_tks": "y",
+ },
+ ]
+ out = aggregate_table_manual_doc_metadata(chunks, task)
+ assert out["country"] == ["Brazil", "Turkey"]
+ assert out["category"] == ["Economy", "Disaster"]
+
+ def test_aggregate_auto_mode_returns_empty(self, es_engine):
+ task = {
+ "parser_id": "table",
+ "parser_config": {},
+ "kb_parser_config": {
+ "table_column_mode": "auto",
+ "table_column_roles": {"country": "metadata"},
+ },
+ }
+ assert aggregate_table_manual_doc_metadata([{"country_tks": "x"}], task) == {}
+
+ def test_aggregate_no_mode_returns_empty(self, es_engine):
+ task = {
+ "parser_id": "table",
+ "parser_config": {},
+ "kb_parser_config": {
+ "table_column_roles": {"country": "metadata"},
+ },
+ }
+ assert aggregate_table_manual_doc_metadata([{}], task) == {}
+
+ def test_aggregate_no_metadata_columns(self, es_engine):
+ task = {
+ "parser_id": "table",
+ "parser_config": {},
+ "kb_parser_config": {
+ "table_column_mode": "manual",
+ "table_column_roles": {"country": "indexing"},
+ "table_column_names": ["country"],
+ },
+ }
+ assert aggregate_table_manual_doc_metadata([{"country_tks": "x"}], task) == {}
+
+ def test_aggregate_prefers_raw_over_tks(self, es_engine):
+ task = _table_task()
+ task["kb_parser_config"]["table_column_roles"] = {"country": "metadata"}
+ task["kb_parser_config"]["table_column_names"] = ["country"]
+ chunks = [{"country_raw": "Brazil", "country_tks": ["brazil"]}]
+ out = aggregate_table_manual_doc_metadata(chunks, task)
+ assert out == {"country": ["Brazil"]}
+
+ def test_aggregate_tks_fallback(self, es_engine):
+ task = _table_task()
+ task["kb_parser_config"]["table_column_roles"] = {"country": "metadata"}
+ task["kb_parser_config"]["table_column_names"] = ["country"]
+ chunks = [{"country_tks": ["brazil"]}]
+ out = aggregate_table_manual_doc_metadata(chunks, task)
+ assert out == {"country": ["brazil"]}
+
+ def test_aggregate_partial_roles_defaults_to_both(self, es_engine):
+ task = {
+ "parser_id": "table",
+ "parser_config": {},
+ "kb_parser_config": {
+ "table_column_mode": "manual",
+ "table_column_roles": {"country": "indexing"},
+ "table_column_names": ["country", "city"],
+ "field_map": {"city_tks": "city"},
+ },
+ }
+ chunks = [{"city_raw": "SP", "city_tks": "t", "country_tks": "x"}]
+ out = aggregate_table_manual_doc_metadata(chunks, task)
+ assert out == {"city": ["SP"]}
+ assert "country" not in out
+
+ def test_aggregate_empty_roles_all_columns_both(self, es_engine):
+ task = {
+ "parser_id": "table",
+ "parser_config": {},
+ "kb_parser_config": {
+ "table_column_mode": "manual",
+ "table_column_roles": {},
+ "table_column_names": ["country", "city"],
+ "field_map": {"country_tks": "country", "city_tks": "city"},
+ },
+ }
+ chunks = [
+ {"country_raw": "BR", "city_raw": "SP", "country_tks": "x", "city_tks": "y"},
+ ]
+ out = aggregate_table_manual_doc_metadata(chunks, task)
+ assert "country" in out and "city" in out
+
+ def test_aggregate_deduplicates_values(self, es_engine):
+ task = _table_task()
+ task["kb_parser_config"]["table_column_roles"] = {"country": "metadata"}
+ task["kb_parser_config"]["table_column_names"] = ["country"]
+ chunks = [
+ {"country_raw": "US", "country_tks": "x"},
+ {"country_raw": "UK", "country_tks": "y"},
+ {"country_raw": "US", "country_tks": "x"},
+ ]
+ out = aggregate_table_manual_doc_metadata(chunks, task)
+ assert out["country"] == ["US", "UK"]
+
+ def test_aggregate_kb_reload_field_map(self, es_engine, monkeypatch):
+ from unittest.mock import MagicMock
+
+ class MockKBS:
+ @staticmethod
+ def get_by_id(kid):
+ kb = MagicMock()
+ kb.parser_config = {"field_map": {"country_tks": "country"}}
+ return True, kb
+
+ monkeypatch.setattr(
+ "rag.utils.table_es_metadata._knowledgebase_service_cls",
+ lambda: MockKBS,
+ )
+
+ task = {
+ "parser_id": "table",
+ "parser_config": {},
+ "kb_parser_config": {
+ "table_column_mode": "manual",
+ "table_column_roles": {"country": "metadata"},
+ "table_column_names": ["country"],
+ },
+ "kb_id": "kb-1",
+ }
+ chunks = [{"country_raw": "X", "country_tks": "t"}]
+ out = aggregate_table_manual_doc_metadata(chunks, task)
+ assert out == {"country": ["X"]}
+
+ def test_merge_infinity_chunk_data(self, infinity_engine):
+ task = {
+ "parser_id": "table",
+ "parser_config": {},
+ "kb_parser_config": {
+ "table_column_mode": "manual",
+ "table_column_roles": {"country": "both"},
+ "table_column_names": ["country"],
+ },
+ }
+ chunks = [
+ {"chunk_data": {"country": "US"}},
+ {"chunk_data": {"country": "UK"}},
+ ]
+ out = aggregate_table_manual_doc_metadata(chunks, task)
+ assert out == {"country": ["US", "UK"]}
+
+
+class TestMergeTableParserConfigFromKbExtra:
+ """Merge tests also covered in helpers file; keep one explicit case for aggregation module."""
+
+ def test_merge_preserves_parser_config_when_parser_not_table(self):
+ task = {
+ "parser_id": "naive",
+ "parser_config": {"a": 1},
+ "kb_parser_config": {"table_column_mode": "manual"},
+ }
+ assert merge_table_parser_config_from_kb(task) == {"a": 1}
diff --git a/test/unit_test/rag/test_raptor_psi_tree_builder.py b/test/unit_test/rag/test_raptor_psi_tree_builder.py
new file mode 100644
index 00000000000..1d0af20d960
--- /dev/null
+++ b/test/unit_test/rag/test_raptor_psi_tree_builder.py
@@ -0,0 +1,375 @@
+#
+# Copyright 2026 The InfiniFlow Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+import importlib
+import sys
+import types
+
+import pytest
+
+np = pytest.importorskip("numpy")
+
+from api.utils.validation_utils import RaptorConfig
+from pydantic import ValidationError
+
+
+@pytest.fixture()
+def raptor_module(monkeypatch):
+ class TaskCanceledException(Exception):
+ pass
+
+ class DummyLimiter:
+ async def __aenter__(self):
+ return self
+
+ async def __aexit__(self, exc_type, exc, tb):
+ return False
+
+ class DummyGaussianMixture:
+ def __init__(self, *args, **kwargs):
+ pass
+
+ def fit(self, embeddings):
+ return self
+
+ def bic(self, embeddings):
+ return 0
+
+ def predict_proba(self, embeddings):
+ return np.ones((len(embeddings), 1))
+
+ class DummyAgglomerativeClustering:
+ def __init__(self, n_clusters=None, distance_threshold=None, compute_distances=False, linkage="ward"):
+ self.n_clusters = n_clusters
+ self.distance_threshold = distance_threshold
+ self.compute_distances = compute_distances
+ self.linkage = linkage
+ self.distances_ = np.array([0.1, 0.2, 1.0])
+
+ def fit(self, embeddings):
+ self.labels_ = self.fit_predict(embeddings)
+ return self
+
+ def fit_predict(self, embeddings):
+ if self.n_clusters is None:
+ return np.zeros(len(embeddings), dtype=int)
+ return np.array([idx % self.n_clusters for idx in range(len(embeddings))])
+
+ class DummyUMAP:
+ def __init__(self, *args, **kwargs):
+ pass
+
+ def fit_transform(self, embeddings):
+ raise AssertionError("Psi tree builder must use original embeddings, not UMAP")
+
+ sklearn_module = types.ModuleType("sklearn")
+ mixture_module = types.ModuleType("sklearn.mixture")
+ mixture_module.GaussianMixture = DummyGaussianMixture
+ cluster_module = types.ModuleType("sklearn.cluster")
+ cluster_module.AgglomerativeClustering = DummyAgglomerativeClustering
+ umap_module = types.ModuleType("umap")
+ umap_module.UMAP = DummyUMAP
+ task_service_module = types.ModuleType("api.db.services.task_service")
+ task_service_module.has_canceled = lambda task_id: False
+ connection_utils_module = types.ModuleType("common.connection_utils")
+ connection_utils_module.timeout = lambda seconds: lambda fn: fn
+ exceptions_module = types.ModuleType("common.exceptions")
+ exceptions_module.TaskCanceledException = TaskCanceledException
+ token_utils_module = types.ModuleType("common.token_utils")
+ token_utils_module.truncate = lambda text, max_len: text[:max_len]
+ graphrag_utils_module = types.ModuleType("rag.graphrag.utils")
+ graphrag_utils_module.chat_limiter = DummyLimiter()
+ graphrag_utils_module.get_embed_cache = lambda *args, **kwargs: None
+ graphrag_utils_module.get_llm_cache = lambda *args, **kwargs: None
+ graphrag_utils_module.set_embed_cache = lambda *args, **kwargs: None
+ graphrag_utils_module.set_llm_cache = lambda *args, **kwargs: None
+
+ async def thread_pool_exec(fn, *args, **kwargs):
+ return fn(*args, **kwargs)
+
+ misc_utils_module = types.ModuleType("common.misc_utils")
+ misc_utils_module.thread_pool_exec = thread_pool_exec
+
+ monkeypatch.setitem(sys.modules, "sklearn", sklearn_module)
+ monkeypatch.setitem(sys.modules, "sklearn.mixture", mixture_module)
+ monkeypatch.setitem(sys.modules, "sklearn.cluster", cluster_module)
+ monkeypatch.setitem(sys.modules, "umap", umap_module)
+ monkeypatch.setitem(sys.modules, "api.db.services.task_service", task_service_module)
+ monkeypatch.setitem(sys.modules, "common.connection_utils", connection_utils_module)
+ monkeypatch.setitem(sys.modules, "common.exceptions", exceptions_module)
+ monkeypatch.setitem(sys.modules, "common.token_utils", token_utils_module)
+ monkeypatch.setitem(sys.modules, "rag.graphrag.utils", graphrag_utils_module)
+ monkeypatch.setitem(sys.modules, "common.misc_utils", misc_utils_module)
+ monkeypatch.delitem(sys.modules, "rag.raptor", raising=False)
+ module = importlib.import_module("rag.raptor")
+ yield module
+ monkeypatch.delitem(sys.modules, "rag.raptor", raising=False)
+
+
+class FakeChatModel:
+ llm_name = "fake-chat"
+ max_length = 4096
+
+ def __init__(self):
+ self.calls = []
+
+ async def async_chat(self, system, history, gen_conf):
+ self.calls.append(history[0]["content"])
+ return f"summary-{len(self.calls)}"
+
+
+class FakeEmbeddingModel:
+ llm_name = "fake-embedding"
+
+ def encode(self, texts):
+ embeddings = []
+ for text in texts:
+ checksum = sum(ord(ch) for ch in text)
+ embeddings.append(np.array([len(text), checksum % 17 + 1], dtype=float))
+ return embeddings, len(texts)
+
+
+_DEFAULT_TREE_BUILDER = object()
+
+
+def _make_raptor(raptor_module, max_cluster=64, tree_builder=_DEFAULT_TREE_BUILDER, **kwargs):
+ if tree_builder is _DEFAULT_TREE_BUILDER:
+ kwargs["tree_builder"] = raptor_module.PSI_TREE_BUILDER
+ else:
+ kwargs["tree_builder"] = tree_builder
+ return raptor_module.RecursiveAbstractiveProcessing4TreeOrganizedRetrieval(
+ max_cluster,
+ FakeChatModel(),
+ FakeEmbeddingModel(),
+ "{cluster_content}",
+ max_token=32,
+ threshold=0.1,
+ **kwargs,
+ )
+
+
+def _chunks():
+ return [
+ ("alpha first", np.array([1.0, 0.0])),
+ ("alpha second", np.array([0.99, 0.01])),
+ ("alpha third", np.array([0.98, 0.02])),
+ ]
+
+
+def test_default_tree_builder_remains_original_raptor(raptor_module):
+ raptor = _make_raptor(raptor_module, tree_builder=None)
+
+ assert raptor._tree_builder == raptor_module.RAPTOR_TREE_BUILDER
+
+
+def test_unknown_tree_builder_is_rejected(raptor_module):
+ with pytest.raises(ValueError, match="Unsupported RAPTOR tree builder"):
+ _make_raptor(raptor_module, tree_builder="ahc")
+
+
+def test_raptor_config_accepts_hidden_psi_tree_builder():
+ assert RaptorConfig().tree_builder == "raptor"
+ assert RaptorConfig().clustering_method == "gmm"
+ assert RaptorConfig(clustering_method="ahc").clustering_method == "ahc"
+ assert RaptorConfig(tree_builder="psi").tree_builder == "psi"
+
+ with pytest.raises(ValidationError):
+ RaptorConfig(tree_builder="ahc")
+ with pytest.raises(ValidationError):
+ RaptorConfig(clustering_method="psi")
+
+
+def test_ahc_clustering_method_is_supported_in_original_tree_builder(raptor_module):
+ raptor = _make_raptor(raptor_module, tree_builder=raptor_module.RAPTOR_TREE_BUILDER, clustering_method="ahc")
+
+ labels = raptor._get_clusters_ahc(np.array([[0.0, 0.0], [0.1, 0.0], [10.0, 10.0], [10.1, 10.0]]))
+
+ assert raptor._tree_builder == raptor_module.RAPTOR_TREE_BUILDER
+ assert raptor._clustering_method == "ahc"
+ assert len(labels) == 4
+
+
+def test_unknown_clustering_method_is_rejected(raptor_module):
+ with pytest.raises(ValueError, match="Unsupported RAPTOR clustering method"):
+ _make_raptor(raptor_module, clustering_method="psi")
+
+
+def test_psi_tree_builder_ranks_all_leaf_pairs_by_original_cosine_similarity(raptor_module):
+ raptor = _make_raptor(raptor_module)
+ leaves = [
+ raptor_module._PsiTreeNode(index=0, embedding=np.array([1.0, 0.0])),
+ raptor_module._PsiTreeNode(index=1, embedding=np.array([0.0, 1.0])),
+ raptor_module._PsiTreeNode(index=2, embedding=np.array([0.99, 0.01])),
+ raptor_module._PsiTreeNode(index=3, embedding=np.array([-1.0, 0.0])),
+ ]
+
+ ranked_pairs = raptor._rank_leaf_pairs(leaves)
+
+ assert len(ranked_pairs) == 6
+ assert tuple(ranked_pairs[0]) == (2, 0)
+
+
+def test_psi_tree_builder_uses_cosine_similarity_not_vector_magnitude(raptor_module):
+ raptor = _make_raptor(raptor_module)
+ leaves = [
+ raptor_module._PsiTreeNode(index=0, embedding=np.array([100.0, 0.0])),
+ raptor_module._PsiTreeNode(index=1, embedding=np.array([1.0, 1.0])),
+ raptor_module._PsiTreeNode(index=2, embedding=np.array([0.1, 0.0])),
+ ]
+
+ ranked_pairs = raptor._rank_leaf_pairs(leaves)
+
+ assert tuple(ranked_pairs[0]) == (2, 0)
+
+
+def test_psi_tree_builder_handles_zero_vectors_in_cosine_ranking(raptor_module):
+ raptor = _make_raptor(raptor_module)
+ leaves = [
+ raptor_module._PsiTreeNode(index=0, embedding=np.array([0.0, 0.0])),
+ raptor_module._PsiTreeNode(index=1, embedding=np.array([1.0, 0.0])),
+ raptor_module._PsiTreeNode(index=2, embedding=np.array([0.9, 0.1])),
+ ]
+
+ ranked_pairs = raptor._rank_leaf_pairs(leaves)
+
+ assert tuple(ranked_pairs[0]) == (2, 1)
+
+
+def test_psi_tree_builder_collapses_leaf_into_ranked_pair_parent(raptor_module):
+ raptor = _make_raptor(raptor_module, max_cluster=64)
+
+ root, leaves = raptor._build_psi_structure(_chunks())
+
+ assert len(root.children) == 3
+ assert {child.index for child in root.children} == {0, 1, 2}
+ assert all(leaf.parent is root for leaf in leaves)
+
+
+def test_psi_tree_builder_collapses_leaf_at_matching_rank(monkeypatch, raptor_module):
+ raptor = _make_raptor(raptor_module, max_cluster=64)
+ chunks = [
+ ("node 0", np.array([1.0, 0.0])),
+ ("node 1", np.array([0.9, 0.1])),
+ ("node 2", np.array([-1.0, 0.0])),
+ ("node 3", np.array([-0.9, -0.1])),
+ ("node 4", np.array([0.8, 0.2])),
+ ]
+ monkeypatch.setattr(
+ raptor,
+ "_rank_leaf_pairs",
+ lambda _leaves: np.array([[0, 1], [2, 3], [0, 2], [4, 0]]),
+ )
+
+ root, leaves = raptor._build_psi_structure(chunks)
+
+ assert leaves[4].parent is leaves[0].parent
+ assert leaves[4].parent is not root
+ assert len(root.children) == 2
+
+
+def test_psi_union_find_clamps_out_of_bounds_parent_rank(caplog, raptor_module):
+ union_find = raptor_module._PsiUnionFind(2)
+ union_find._node_ids[1] = [1]
+ union_find._rank[0] = 2
+
+ with caplog.at_level("WARNING"):
+ union_find._build(0, 1, insert_point=1)
+
+ assert union_find.tree[0] == 1
+ assert "rank index" in caplog.text
+
+
+def test_psi_tree_builder_rebalances_nodes_over_max_children(raptor_module):
+ raptor = _make_raptor(raptor_module, max_cluster=2)
+
+ root, _ = raptor._build_psi_structure(_chunks())
+
+ assert all(len(node.children) <= 2 for node in raptor._iter_nodes(root))
+ assert len(root.children) == 2
+ assert any(child.children for child in root.children)
+
+
+def test_psi_tree_builder_uses_bucketed_structure_for_large_inputs(monkeypatch, raptor_module):
+ chunks = [(f"node {idx}", np.array([float(idx), float(idx % 3 + 1)])) for idx in range(8)]
+ raptor = _make_raptor(
+ raptor_module,
+ max_cluster=3,
+ psi_exact_max_leaves=3,
+ psi_bucket_size=2,
+ )
+ ranked_sizes = []
+ original_rank = raptor._rank_leaf_pairs
+
+ def track_rank(nodes):
+ ranked_sizes.append(len(nodes))
+ return original_rank(nodes)
+
+ monkeypatch.setattr(raptor, "_rank_leaf_pairs", track_rank)
+
+ root, leaves = raptor._build_psi_structure(chunks)
+
+ assert len(leaves) == len(chunks)
+ assert all(leaf.parent is not None for leaf in leaves)
+ assert all(len(node.children) <= 3 for node in raptor._iter_nodes(root))
+ assert max(ranked_sizes) <= 3
+
+
+@pytest.mark.asyncio
+async def test_psi_tree_builder_materializes_rebalanced_summary_layers_without_umap(monkeypatch, raptor_module):
+ def fail_umap(*args, **kwargs):
+ raise AssertionError("Psi tree builder must use original embeddings, not UMAP")
+
+ monkeypatch.setattr(raptor_module.umap, "UMAP", fail_umap)
+ raptor = _make_raptor(raptor_module, max_cluster=2)
+
+ chunks, layers = await raptor(_chunks(), random_state=0)
+
+ assert len(chunks) == 5
+ assert layers == [(0, 3), (3, 4), (4, 5)]
+ assert [chunk[0] for chunk in chunks[3:]] == ["summary-1", "summary-2"]
+
+
+@pytest.mark.asyncio
+async def test_psi_tree_builder_skips_failed_node_summary(monkeypatch, raptor_module):
+ raptor = _make_raptor(raptor_module, max_cluster=2)
+
+ async def fail_summary(*args, **kwargs):
+ return None
+
+ monkeypatch.setattr(raptor, "_summarize_texts", fail_summary)
+
+ chunks, layers = await raptor(_chunks(), random_state=0)
+
+ assert len(chunks) == 3
+ assert [chunk[0] for chunk in chunks] == [chunk[0] for chunk in _chunks()]
+ assert layers == [(0, 3)]
+
+
+@pytest.mark.asyncio
+async def test_original_raptor_stops_when_transient_summary_fails(monkeypatch, raptor_module):
+ raptor = _make_raptor(raptor_module, tree_builder=raptor_module.RAPTOR_TREE_BUILDER)
+
+ async def fail_summary(*args, **kwargs):
+ return None
+
+ monkeypatch.setattr(raptor, "_summarize_texts", fail_summary)
+
+ input_chunks = _chunks()[:2]
+ chunks, layers = await raptor(input_chunks, random_state=0)
+
+ assert len(chunks) == 2
+ assert [chunk[0] for chunk in chunks] == [chunk[0] for chunk in input_chunks]
+ assert layers == [(0, 2)]
diff --git a/test/unit_test/rag/test_sync_data_source.py b/test/unit_test/rag/test_sync_data_source.py
index be9d89372a3..8bb5e4cd437 100644
--- a/test/unit_test/rag/test_sync_data_source.py
+++ b/test/unit_test/rag/test_sync_data_source.py
@@ -133,7 +133,53 @@ def _patch_common_dependencies(monkeypatch):
@pytest.mark.anyio
@pytest.mark.p2
-async def test_run_task_logic_cleans_up_for_empty_snapshot(monkeypatch):
+async def test_run_task_logic_skips_empty_sync_batches(monkeypatch):
+ _patch_common_dependencies(monkeypatch)
+ monkeypatch.setattr(
+ sync_data_source.SyncLogsService,
+ "increase_docs",
+ lambda *_args, **_kwargs: pytest.fail("increase_docs should not be called for empty batches"),
+ )
+ monkeypatch.setattr(
+ sync_data_source.KnowledgebaseService,
+ "get_by_id",
+ lambda *_args, **_kwargs: pytest.fail("get_by_id should not be called for empty batches"),
+ )
+ monkeypatch.setattr(
+ sync_data_source.SyncLogsService,
+ "duplicate_and_parse",
+ lambda *_args, **_kwargs: pytest.fail("duplicate_and_parse should not be called for empty batches"),
+ )
+
+ await _FakeSync(iter(([],)))._run_task_logic(_make_task())
+
+
+@pytest.mark.anyio
+@pytest.mark.p2
+async def test_run_task_logic_skips_multiple_empty_sync_batches(monkeypatch):
+ _patch_common_dependencies(monkeypatch)
+ monkeypatch.setattr(
+ sync_data_source.SyncLogsService,
+ "increase_docs",
+ lambda *_args, **_kwargs: pytest.fail("increase_docs should not be called for empty batches"),
+ )
+ monkeypatch.setattr(
+ sync_data_source.KnowledgebaseService,
+ "get_by_id",
+ lambda *_args, **_kwargs: pytest.fail("get_by_id should not be called for empty batches"),
+ )
+ monkeypatch.setattr(
+ sync_data_source.SyncLogsService,
+ "duplicate_and_parse",
+ lambda *_args, **_kwargs: pytest.fail("duplicate_and_parse should not be called for empty batches"),
+ )
+
+ await _FakeSync(iter(([], [],)))._run_task_logic(_make_task())
+
+
+@pytest.mark.anyio
+@pytest.mark.p2
+async def test_run_prune_task_logic_cleans_up_for_empty_snapshot(monkeypatch):
cleanup_calls = []
_patch_common_dependencies(monkeypatch)
@@ -148,7 +194,14 @@ def _fake_cleanup(*args, **kwargs):
_fake_cleanup,
)
- await _FakeSync((iter(()), []))._run_task_logic(_make_task())
+ task = {**_make_task(), "task_type": sync_data_source.ConnectorTaskType.PRUNE}
+ sync = _FakeSync(iter(()))
+ sync.conf["sync_deleted_files"] = True
+ sync.connector = types.SimpleNamespace(
+ retrieve_all_slim_docs_perm_sync=lambda: iter(([],))
+ )
+
+ await sync._run_task_logic(task)
assert cleanup_calls == [
(
@@ -166,7 +219,7 @@ def _fake_cleanup(*args, **kwargs):
@pytest.mark.anyio
@pytest.mark.p2
-async def test_run_task_logic_cleans_up_for_non_empty_snapshot(monkeypatch):
+async def test_run_prune_task_logic_cleans_up_for_non_empty_snapshot(monkeypatch):
cleanup_calls = []
_patch_common_dependencies(monkeypatch)
@@ -182,7 +235,14 @@ def _fake_cleanup(*args, **kwargs):
)
file_list = [types.SimpleNamespace(id="doc-1")]
- await _FakeSync((iter(()), file_list))._run_task_logic(_make_task())
+ task = {**_make_task(), "task_type": sync_data_source.ConnectorTaskType.PRUNE}
+ sync = _FakeSync(iter(()))
+ sync.conf["sync_deleted_files"] = True
+ sync.connector = types.SimpleNamespace(
+ retrieve_all_slim_docs_perm_sync=lambda: iter((file_list,))
+ )
+
+ await sync._run_task_logic(task)
assert cleanup_calls == [
(
@@ -285,12 +345,13 @@ async def test_rdbms_generate_keeps_deleted_file_snapshot_without_timestamp_colu
}
)
- document_generator, file_list = await sync._generate(task)
+ document_generator = await sync._generate(task)
connector = _FakeRDBMSConnector.instance
assert connector is not None
assert connector.load_from_state_called is True
assert connector.load_from_cursor_range_called is False
+ file_list = sync._collect_prune_snapshot(task)
assert connector.retrieve_all_slim_docs_perm_sync_called is True
assert file_list is not None
assert [doc.id for doc in file_list] == ["row-1"]
@@ -447,14 +508,15 @@ async def test_dropbox_generate_returns_snapshot_when_sync_deleted_enabled(monke
}
)
- document_generator, file_list = await sync._generate(task)
+ document_generator = await sync._generate(task)
connector = _FakeDropboxConnector.instance
assert list(document_generator) == [["poll-sync"]]
+ file_list = sync._collect_prune_snapshot(task)
assert [doc.id for doc in file_list] == ["dropbox:id-1", "dropbox:id-2"]
assert connector.credentials == {"dropbox_access_token": "token-1"}
assert connector.retrieve_all_slim_docs_perm_sync_called is True
- assert connector.snapshot_called_before_poll is True
+ assert connector.snapshot_called_before_poll is False
assert connector.poll_source_call[0] == poll_start.timestamp()
assert connector.poll_source_call[1] >= poll_start.timestamp()
@@ -477,11 +539,12 @@ async def test_dropbox_generate_skips_snapshot_for_full_reindex(monkeypatch):
}
)
- document_generator, file_list = await sync._generate(task)
+ document_generator = await sync._generate(task)
connector = _FakeDropboxConnector.instance
assert list(document_generator) == [["full-sync"]]
- assert file_list is None
assert connector.load_from_state_called is True
- assert connector.retrieve_all_slim_docs_perm_sync_called is False
+ file_list = sync._collect_prune_snapshot(task)
+ assert [doc.id for doc in file_list] == ["dropbox:id-1", "dropbox:id-2"]
+ assert connector.retrieve_all_slim_docs_perm_sync_called is True
assert connector.poll_source_called is False
diff --git a/test/unit_test/rag/utils/test_opensearch_doc_meta.py b/test/unit_test/rag/utils/test_opensearch_doc_meta.py
new file mode 100644
index 00000000000..ead97f6f8be
--- /dev/null
+++ b/test/unit_test/rag/utils/test_opensearch_doc_meta.py
@@ -0,0 +1,288 @@
+#
+# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+"""
+Unit tests for the document-metadata helpers added to OSConnection.
+
+Covers issue #14570: PATCH /api/v1/datasets/{ds}/documents/{doc} with
+{"meta_fields": {...}} previously raised
+``'OSConnection' object has no attribute 'create_doc_meta_idx'`` when the
+backend was OpenSearch. These tests pin the new dispatch surface so the same
+regression cannot return: every helper that DocMetadataService dispatches to
+on the ES path must exist on OSConnection too, with semantically equivalent
+behaviour.
+
+The OpenSearch and Elasticsearch SDKs are imported at module load; mocking
+the underlying client lets us exercise OSConnection methods in isolation
+without a live cluster.
+"""
+from __future__ import annotations
+
+import sys
+import types
+from unittest.mock import MagicMock, patch
+
+import pytest
+
+
+# Importing OSConnection touches opensearchpy at module load, so guard for
+# environments where the package isn't installed.
+opensearchpy = pytest.importorskip("opensearchpy")
+
+
+def _install_module(name: str, **attrs) -> types.ModuleType:
+ mod = sys.modules.get(name)
+ if mod is None:
+ mod = types.ModuleType(name)
+ sys.modules[name] = mod
+ for key, value in attrs.items():
+ if not hasattr(mod, key):
+ setattr(mod, key, value)
+ return mod
+
+
+def _install_module_stubs() -> None:
+ """Bypass heavy optional backends for connection-only tests.
+
+ ``rag.utils.opensearch_conn`` imports ``common.settings`` and ``rag.nlp``
+ at module load. ``common.settings`` in turn pulls every storage backend
+ (Infinity, OceanBase, Azure, MinIO, GCS …), which is more surface than
+ these connection-only tests need. We replace just the modules opensearch_conn
+ captures so the real ``OSConnection`` class loads.
+ """
+ _install_module(
+ "common.settings",
+ OS={"hosts": "stub", "username": "u", "password": "p"},
+ ES={},
+ DOC_ENGINE_INFINITY=False,
+ DOC_ENGINE_OCEANBASE=False,
+ DOC_ENGINE="opensearch",
+ docStoreConn=None,
+ )
+ _install_module(
+ "rag.nlp",
+ is_english=lambda *_args, **_kwargs: False,
+ rag_tokenizer=MagicMock(),
+ )
+
+
+_install_module_stubs()
+
+
+class _FakeFile:
+ """Minimal file-like stand-in supporting ``json.load``."""
+
+ def __init__(self, content: str) -> None:
+ self._content = content
+
+ def read(self, *_args, **_kwargs) -> str:
+ return self._content
+
+
+def _open_returning_payload(payload: dict):
+ """Build a context-manager mock for ``open`` that yields the JSON payload."""
+ import json as _json
+
+ fake_handle = MagicMock()
+ fake_handle.__enter__ = MagicMock(return_value=_FakeFile(_json.dumps(payload)))
+ fake_handle.__exit__ = MagicMock(return_value=False)
+ return MagicMock(return_value=fake_handle)
+
+
+def _resolve_os_connection_class():
+ """Return the real OSConnection class.
+
+ ``@singleton`` from ``common.decorator`` wraps the class with a closure
+ that returns the cached instance on call. ``OSConnection`` at module
+ scope is therefore a function, not a type. We unwrap it to recover the
+ underlying class so we can call ``__new__`` directly without going through
+ ``__init__`` (which would attempt a real OpenSearch handshake).
+ """
+ from rag.utils import opensearch_conn
+
+ candidate = opensearch_conn.OSConnection
+ if isinstance(candidate, type):
+ return candidate
+ closure = getattr(candidate, "__closure__", None) or ()
+ for cell in closure:
+ contents = cell.cell_contents
+ if isinstance(contents, type):
+ return contents
+ raise RuntimeError("Could not locate the OSConnection class in module scope")
+
+
+def _make_os_connection():
+ """Build an OSConnection without invoking its real network-dependent __init__."""
+ cls = _resolve_os_connection_class()
+ instance = cls.__new__(cls)
+ instance.os = MagicMock()
+ instance.info = {"version": {"number": "2.18.0"}}
+ instance.mapping = {"settings": {}, "mappings": {}}
+ return instance
+
+
+class TestOSConnectionMetaSurface:
+ """The OSConnection class must expose the dispatch surface
+ DocMetadataService relies on."""
+
+ def test_create_doc_meta_idx_exists(self):
+ cls = _resolve_os_connection_class()
+ assert callable(getattr(cls, "create_doc_meta_idx", None)), (
+ "OSConnection.create_doc_meta_idx is required so the metadata "
+ "PATCH path does not raise AttributeError on OpenSearch backends "
+ "(issue #14570)."
+ )
+
+ def test_refresh_idx_exists(self):
+ cls = _resolve_os_connection_class()
+ assert callable(getattr(cls, "refresh_idx", None))
+
+ def test_count_idx_exists(self):
+ cls = _resolve_os_connection_class()
+ assert callable(getattr(cls, "count_idx", None))
+
+ def test_replace_meta_fields_exists(self):
+ cls = _resolve_os_connection_class()
+ assert callable(getattr(cls, "replace_meta_fields", None))
+
+
+class TestCreateDocMetaIdx:
+ """Behavioural tests for OSConnection.create_doc_meta_idx."""
+
+ def test_returns_true_when_index_already_exists(self):
+ conn = _make_os_connection()
+ with patch.object(_resolve_os_connection_class(), "index_exist", return_value=True) as exist:
+ assert conn.create_doc_meta_idx("ragflow_doc_meta_t1") is True
+ exist.assert_called_once_with("ragflow_doc_meta_t1", "")
+
+ def test_creates_index_with_doc_meta_mapping(self):
+ conn = _make_os_connection()
+ fake_indices = MagicMock()
+ fake_indices.create.return_value = {"acknowledged": True}
+ cls = _resolve_os_connection_class()
+
+ with patch.object(cls, "index_exist", return_value=False), \
+ patch("rag.utils.opensearch_conn.os.path.exists", return_value=True), \
+ patch(
+ "rag.utils.opensearch_conn.open",
+ new=_open_returning_payload({
+ "settings": {"index": {"number_of_shards": 2}},
+ "mappings": {"properties": {"meta_fields": {"type": "object"}}},
+ }),
+ create=True,
+ ), \
+ patch("opensearchpy.client.IndicesClient", return_value=fake_indices):
+ result = conn.create_doc_meta_idx("ragflow_doc_meta_t1")
+
+ assert result == {"acknowledged": True}
+ fake_indices.create.assert_called_once()
+ kwargs = fake_indices.create.call_args.kwargs
+ assert kwargs["index"] == "ragflow_doc_meta_t1"
+ body = kwargs["body"]
+ assert "settings" in body and "mappings" in body
+ assert body["mappings"]["properties"]["meta_fields"]["type"] == "object"
+
+ def test_returns_false_when_mapping_file_missing(self):
+ conn = _make_os_connection()
+ cls = _resolve_os_connection_class()
+ with patch.object(cls, "index_exist", return_value=False), \
+ patch("rag.utils.opensearch_conn.os.path.exists", return_value=False):
+ assert conn.create_doc_meta_idx("ragflow_doc_meta_t1") is False
+
+ def test_returns_false_when_create_call_explodes(self):
+ """If the underlying IndicesClient.create raises, the helper must
+ swallow the exception and return False so the service layer can fall
+ back gracefully (mirrors ESConnectionBase.create_doc_meta_idx)."""
+ conn = _make_os_connection()
+ cls = _resolve_os_connection_class()
+ fake_indices = MagicMock()
+ fake_indices.create.side_effect = RuntimeError("opensearch unreachable")
+
+ with patch.object(cls, "index_exist", return_value=False), \
+ patch("rag.utils.opensearch_conn.os.path.exists", return_value=True), \
+ patch(
+ "rag.utils.opensearch_conn.open",
+ new=_open_returning_payload({"settings": {}, "mappings": {}}),
+ create=True,
+ ), \
+ patch("opensearchpy.client.IndicesClient", return_value=fake_indices):
+ assert conn.create_doc_meta_idx("ragflow_doc_meta_t1") is False
+
+
+class TestRefreshIdx:
+ def test_calls_indices_refresh(self):
+ conn = _make_os_connection()
+ assert conn.refresh_idx("ragflow_doc_meta_t1") is True
+ conn.os.indices.refresh.assert_called_once_with(index="ragflow_doc_meta_t1")
+
+ def test_returns_false_on_not_found(self):
+ conn = _make_os_connection()
+ conn.os.indices.refresh.side_effect = opensearchpy.NotFoundError(
+ 404, "index_not_found_exception", {}
+ )
+ assert conn.refresh_idx("missing_idx") is False
+
+ def test_swallows_other_errors_and_returns_false(self):
+ conn = _make_os_connection()
+ conn.os.indices.refresh.side_effect = RuntimeError("transient")
+ assert conn.refresh_idx("ragflow_doc_meta_t1") is False
+
+
+class TestCountIdx:
+ def test_returns_count_value(self):
+ conn = _make_os_connection()
+ conn.os.count.return_value = {"count": 42}
+ assert conn.count_idx("ragflow_doc_meta_t1") == 42
+ conn.os.count.assert_called_once_with(index="ragflow_doc_meta_t1")
+
+ def test_missing_index_reads_as_zero(self):
+ conn = _make_os_connection()
+ conn.os.count.side_effect = opensearchpy.NotFoundError(
+ 404, "index_not_found_exception", {}
+ )
+ assert conn.count_idx("ragflow_doc_meta_t1") == 0
+
+ def test_other_failure_returns_negative_one(self):
+ conn = _make_os_connection()
+ conn.os.count.side_effect = RuntimeError("bad")
+ assert conn.count_idx("ragflow_doc_meta_t1") == -1
+
+
+class TestReplaceMetaFields:
+ def test_emits_full_assignment_script(self):
+ conn = _make_os_connection()
+ conn.os.update.return_value = {"_id": "doc-1", "result": "updated"}
+ meta = {"author": "alice", "year": 2026}
+
+ ok = conn.replace_meta_fields("ragflow_doc_meta_t1", "doc-1", meta)
+
+ assert ok is True
+ conn.os.update.assert_called_once()
+ kwargs = conn.os.update.call_args.kwargs
+ assert kwargs["index"] == "ragflow_doc_meta_t1"
+ assert kwargs["id"] == "doc-1"
+ assert kwargs["refresh"] is True
+ body = kwargs["body"]
+ # The script must fully assign meta_fields, otherwise removed keys
+ # would persist via deep merge.
+ assert body["script"]["source"] == "ctx._source.meta_fields = params.meta_fields"
+ assert body["script"]["params"]["meta_fields"] == meta
+
+ def test_returns_false_when_doc_missing(self):
+ conn = _make_os_connection()
+ conn.os.update.side_effect = opensearchpy.NotFoundError(
+ 404, "document_missing_exception", {}
+ )
+ assert conn.replace_meta_fields("ragflow_doc_meta_t1", "absent", {"a": 1}) is False
diff --git a/test/unit_test/rag/utils/test_raptor_utils.py b/test/unit_test/rag/utils/test_raptor_utils.py
index 5138ccda7aa..95abe21097b 100644
--- a/test/unit_test/rag/utils/test_raptor_utils.py
+++ b/test/unit_test/rag/utils/test_raptor_utils.py
@@ -18,15 +18,22 @@
Unit tests for Raptor utility functions.
"""
+import logging
+
import pytest
from rag.utils.raptor_utils import (
+ CSV_EXTENSIONS,
+ EXCEL_EXTENSIONS,
+ STRUCTURED_EXTENSIONS,
+ collect_raptor_chunk_ids,
+ collect_raptor_methods,
+ get_raptor_clustering_method,
+ get_raptor_tree_builder,
+ get_skip_reason,
is_structured_file_type,
is_tabular_pdf,
+ make_raptor_summary_chunk_id,
should_skip_raptor,
- get_skip_reason,
- EXCEL_EXTENSIONS,
- CSV_EXTENSIONS,
- STRUCTURED_EXTENSIONS
)
@@ -283,5 +290,117 @@ def test_override_for_special_excel(self):
assert should_skip_raptor(file_type, raptor_config=raptor_config) is False
+class TestRaptorTreeBuilderConfig:
+ """Test RAPTOR tree builder config resolution"""
+
+ def test_defaults_to_original_raptor_builder(self):
+ assert get_raptor_tree_builder({}) == "raptor"
+ assert get_raptor_tree_builder(None) == "raptor"
+
+ def test_reads_top_level_tree_builder(self):
+ assert get_raptor_tree_builder({"tree_builder": "psi"}) == "psi"
+
+ def test_reads_legacy_ext_tree_builder(self):
+ assert get_raptor_tree_builder({"ext": {"tree_builder": "psi"}}) == "psi"
+
+ def test_ext_tree_builder_overrides_stale_top_level_value(self):
+ assert get_raptor_tree_builder({"tree_builder": "psi", "ext": {"tree_builder": "raptor"}}) == "raptor"
+
+ def test_rejects_unknown_tree_builder(self):
+ with pytest.raises(ValueError, match="Unsupported RAPTOR tree builder"):
+ get_raptor_tree_builder({"tree_builder": "ahc"})
+
+
+class TestRaptorClusteringMethodConfig:
+ """Test RAPTOR clustering method config resolution"""
+
+ def test_defaults_to_gmm(self):
+ assert get_raptor_clustering_method({}) == "gmm"
+ assert get_raptor_clustering_method(None) == "gmm"
+
+ def test_reads_top_level_clustering_method(self):
+ assert get_raptor_clustering_method({"clustering_method": "gmm"}) == "gmm"
+ assert get_raptor_clustering_method({"clustering_method": "ahc"}) == "ahc"
+
+ def test_reads_legacy_ext_clustering_method(self):
+ assert get_raptor_clustering_method({"ext": {"clustering_method": "ahc"}}) == "ahc"
+
+ def test_ext_clustering_method_overrides_stale_top_level_value(self):
+ assert get_raptor_clustering_method({"clustering_method": "gmm", "ext": {"clustering_method": "ahc"}}) == "ahc"
+
+ def test_rejects_unknown_clustering_method(self):
+ with pytest.raises(ValueError, match="Unsupported RAPTOR clustering method"):
+ get_raptor_clustering_method({"clustering_method": "unknown"})
+
+
+class TestRaptorMethodCollection:
+ """Test RAPTOR summary method extraction from doc-store fields"""
+
+ def test_legacy_summary_without_method_is_original_raptor(self):
+ field_map = {"chunk_1": {"raptor_kwd": "raptor"}}
+
+ assert collect_raptor_methods(field_map) == {"raptor"}
+ assert collect_raptor_chunk_ids(field_map) == {"chunk_1"}
+
+ def test_extra_method_is_preserved(self):
+ field_map = {"chunk_1": {"raptor_kwd": "raptor", "extra": {"raptor_method": "psi"}}}
+
+ assert collect_raptor_methods(field_map) == {"psi"}
+ assert collect_raptor_chunk_ids(field_map) == {"chunk_1"}
+
+ def test_extra_field_supports_oceanbase_legacy_rows(self):
+ field_map = {
+ "chunk_1": {
+ "extra": {
+ "raptor_kwd": "raptor",
+ "raptor_method": "psi",
+ }
+ },
+ "chunk_2": {
+ "extra": "{\"raptor_kwd\": \"raptor\"}",
+ },
+ "chunk_3": {
+ "extra": {"raptor_kwd": ""},
+ },
+ }
+
+ assert collect_raptor_methods(field_map) == {"psi", "raptor"}
+ assert collect_raptor_chunk_ids(field_map) == {"chunk_1", "chunk_2"}
+
+ def test_non_raptor_rows_are_ignored(self):
+ field_map = {
+ "chunk_1": {"raptor_kwd": ""},
+ "chunk_2": {"extra": {"raptor_kwd": "graph"}},
+ "chunk_3": {},
+ }
+
+ assert collect_raptor_methods(field_map) == set()
+ assert collect_raptor_chunk_ids(field_map) == set()
+
+ def test_malformed_extra_payload_is_logged_and_ignored(self, caplog):
+ field_map = {"chunk_1": {"extra": "{bad json"}}
+
+ with caplog.at_level(logging.WARNING):
+ assert collect_raptor_methods(field_map) == set()
+ assert collect_raptor_chunk_ids(field_map) == set()
+
+ assert "Ignoring malformed RAPTOR extra payload" in caplog.text
+
+ def test_chunk_id_collection_can_preserve_current_method(self):
+ field_map = {
+ "legacy": {"raptor_kwd": "raptor"},
+ "old": {"raptor_kwd": "raptor", "extra": {"raptor_method": "raptor"}},
+ "current": {"raptor_kwd": "raptor", "extra": {"raptor_method": "psi"}},
+ }
+
+ assert collect_raptor_chunk_ids(field_map, exclude_methods={"psi"}) == {"legacy", "old"}
+ assert collect_raptor_chunk_ids(field_map, exclude_methods={"raptor"}) == {"current"}
+
+ def test_summary_chunk_ids_include_real_document_id(self):
+ content = "same generated summary"
+
+ assert make_raptor_summary_chunk_id(content, "doc-a") != make_raptor_summary_chunk_id(content, "doc-b")
+
+
if __name__ == "__main__":
pytest.main([__file__, "-v"])
diff --git a/tools/scripts/README.md b/tools/scripts/README.md
index fc05d12fbb5..53091730857 100644
--- a/tools/scripts/README.md
+++ b/tools/scripts/README.md
@@ -275,8 +275,8 @@ python db_schema_sync.py [OPTIONS]
### Version Format
Version must be in format `vxx.xx.xx` where `xx` are digits:
-- Valid: `v0.25.2`, `v1.0.0`, `v10.20.30`
-- Invalid: `0.25.2`, `v0.25`, `v0.25.2.1`
+- Valid: `v0.25.5`, `v1.0.0`, `v10.20.30`
+- Invalid: `0.25.5`, `v0.25`, `v0.25.5.1`
### Migration File Location
@@ -287,7 +287,7 @@ tools/migrate/{version_dir}/
Where `{version_dir}` is the version with `.` replaced by `_`.
-Example: Version `v0.25.2` → Directory `tools/migrate/v0_25_2/`
+Example: Version `v0.25.5` → Directory `tools/migrate/v0_25_5/`
### Examples
@@ -295,32 +295,32 @@ Example: Version `v0.25.2` → Directory `tools/migrate/v0_25_2/`
# List all migrations
python db_schema_sync.py --list \
--host localhost --port 3306 --user root --password xxx --database rag_flow \
- --version v0.25.2
+ --version v0.25.5
# Create a new auto-detected migration (new tables, new fields, type changes only)
python db_schema_sync.py --create \
--host localhost --port 3306 --user root --password xxx --database rag_flow \
- --version v0.25.2
+ --version v0.25.5
# Create a migration including dropped fields (destructive!)
python db_schema_sync.py --create --drop \
--host localhost --port 3306 --user root --password xxx --database rag_flow \
- --version v0.25.2
+ --version v0.25.5
# Create a named migration
python db_schema_sync.py --create --name add_user_table \
--host localhost --port 3306 --user root --password xxx --database rag_flow \
- --version v0.25.2
+ --version v0.25.5
# Run all pending migrations
python db_schema_sync.py --migrate \
--host localhost --port 3306 --user root --password xxx --database rag_flow \
- --version v0.25.2
+ --version v0.25.5
# Show schema differences (including removed fields)
python db_schema_sync.py --diff \
--host localhost --port 3306 --user root --password xxx --database rag_flow \
- --version v0.25.2
+ --version v0.25.5
```
## How It Works
diff --git a/tools/scripts/db_schema_sync.py b/tools/scripts/db_schema_sync.py
index 175fc9e61fc..1e85ffe44e0 100644
--- a/tools/scripts/db_schema_sync.py
+++ b/tools/scripts/db_schema_sync.py
@@ -55,7 +55,7 @@ def validate_version(version: str) -> bool:
def version_to_dirname(version: str) -> str:
- """Convert version string to valid directory name (e.g., 'v0.25.2' -> 'v0_25_2')"""
+ """Convert version string to valid directory name (e.g., 'v0.25.5' -> 'v0_25_5')"""
return version.replace('.', '_')
@@ -839,19 +839,19 @@ def main():
epilog="""
Examples:
# List all migrations
- python db_schema_sync.py --list --host localhost --port 3306 --user root --password xxx --database rag_flow --version v0.25.2
+ python db_schema_sync.py --list --host localhost --port 3306 --user root --password xxx --database rag_flow --version v0.25.5
# Create migration from model changes
- python db_schema_sync.py --create --host localhost --port 3306 --user root --password xxx --database rag_flow --version v0.25.2
+ python db_schema_sync.py --create --host localhost --port 3306 --user root --password xxx --database rag_flow --version v0.25.5
# Create migration including dropped fields (destructive!)
- python db_schema_sync.py --create --drop --host localhost --port 3306 --user root --password xxx --database rag_flow --version v0.25.2
+ python db_schema_sync.py --create --drop --host localhost --port 3306 --user root --password xxx --database rag_flow --version v0.25.5
# Run all pending migrations
- python db_schema_sync.py --migrate --host localhost --port 3306 --user root --password xxx --database rag_flow --version v0.25.2
+ python db_schema_sync.py --migrate --host localhost --port 3306 --user root --password xxx --database rag_flow --version v0.25.5
# Show schema differences
- python db_schema_sync.py --diff --host localhost --port 3306 --user root --password xxx --database rag_flow --version v0.25.2
+ python db_schema_sync.py --diff --host localhost --port 3306 --user root --password xxx --database rag_flow --version v0.25.5
"""
)
@@ -864,7 +864,7 @@ def main():
# Version option
parser.add_argument('--version', '-v', type=str, required=True,
- help='Version number in format vxx.xx.xx (e.g., v0.25.2)')
+ help='Version number in format vxx.xx.xx (e.g., v0.25.5)')
# Action options
parser.add_argument('--list', '-l', action='store_true', help='List all migrations')
@@ -882,7 +882,7 @@ def main():
# Validate version format
if not validate_version(args.version):
- logger.error(f"Invalid version format: {args.version}. Expected format: vxx.xx.xx (e.g., v0.25.2)")
+ logger.error(f"Invalid version format: {args.version}. Expected format: vxx.xx.xx (e.g., v0.25.5)")
sys.exit(1)
# Validate at least one action is specified
diff --git a/uv.lock b/uv.lock
index abb33e17734..8faf560e497 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,29 +1,21 @@
version = 1
revision = 3
-requires-python = ">=3.12, <3.15"
+requires-python = ">=3.13, <3.15"
resolution-markers = [
"python_full_version >= '3.14' and sys_platform == 'darwin'",
- "python_full_version == '3.13.*' and sys_platform == 'darwin'",
- "python_full_version < '3.13' and sys_platform == 'darwin'",
+ "python_full_version < '3.14' and sys_platform == 'darwin'",
"python_full_version >= '3.14' and platform_machine == 'aarch64' and sys_platform == 'linux'",
- "python_full_version == '3.13.*' and platform_machine == 'aarch64' and sys_platform == 'linux'",
- "python_full_version < '3.13' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+ "python_full_version < '3.14' and platform_machine == 'aarch64' and sys_platform == 'linux'",
"(python_full_version >= '3.14' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '3.14' and sys_platform != 'darwin' and sys_platform != 'linux')",
- "(python_full_version == '3.13.*' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version == '3.13.*' and sys_platform != 'darwin' and sys_platform != 'linux')",
- "(python_full_version < '3.13' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform != 'darwin' and sys_platform != 'linux')",
+ "(python_full_version < '3.14' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version < '3.14' and sys_platform != 'darwin' and sys_platform != 'linux')",
]
[manifest]
-constraints = [{ name = "pyasn1", specifier = ">=0.6.3" }]
-
-[[package]]
-name = "absl-py"
-version = "2.4.0"
-source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
-sdist = { url = "https://mirrors.aliyun.com/pypi/packages/64/c7/8de93764ad66968d19329a7e0c147a2bb3c7054c554d4a119111b8f9440f/absl_py-2.4.0.tar.gz", hash = "sha256:8c6af82722b35cf71e0f4d1d47dcaebfff286e27110a99fc359349b247dfb5d4" }
-wheels = [
- { url = "https://mirrors.aliyun.com/pypi/packages/18/a6/907a406bb7d359e6a63f99c313846d9eec4f7e6f7437809e03aa00fa3074/absl_py-2.4.0-py3-none-any.whl", hash = "sha256:88476fd881ca8aab94ffa78b7b6c632a782ab3ba1cd19c9bd423abc4fb4cd28d" },
+constraints = [
+ { name = "pyasn1", specifier = ">=0.6.3" },
+ { name = "trio", specifier = ">=0.26.0", index = "https://pypi.org/simple" },
]
+overrides = [{ name = "attrs", specifier = ">=23.2.0" }]
[[package]]
name = "agentrun-mem0ai"
@@ -103,23 +95,6 @@ dependencies = [
]
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/50/42/32cf8e7704ceb4481406eb87161349abb46a57fee3f008ba9cb610968646/aiohttp-3.13.3.tar.gz", hash = "sha256:a949eee43d3782f2daae4f4a2819b2cb9b0c5d3b7f7a927067cc84dafdbb9f88" }
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{ name = "arxiv" },
{ name = "asana" },
{ name = "atlassian-python-api" },
+ { name = "audioop-lts" },
{ name = "azure-identity" },
{ name = "azure-storage-file-datalake" },
{ name = "beartype" },
{ name = "bio" },
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{ name = "boxsdk" },
{ name = "captcha" },
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{ name = "editdistance" },
{ name = "elasticsearch-dsl" },
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{ name = "exceptiongroup" },
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{ name = "feedparser" },
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{ name = "opendal" },
{ name = "opensearch-py" },
{ name = "ormsgpack" },
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{ name = "slack-sdk" },
{ name = "socksio" },
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{ name = "socksio", specifier = "==1.0.0" },
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diff --git a/web/package-lock.json b/web/package-lock.json
index bfb0aee4f27..38407cfbe33 100644
--- a/web/package-lock.json
+++ b/web/package-lock.json
@@ -100,6 +100,7 @@
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"rehype-katex": "^7.0.1",
"rehype-raw": "^7.0.0",
+ "remark-breaks": "^4.0.0",
"remark-gfm": "^4.0.0",
"remark-math": "^6.0.0",
"sonner": "^1.7.4",
@@ -18439,6 +18440,20 @@
"url": "https://opencollective.com/unified"
}
},
+ "node_modules/mdast-util-newline-to-break": {
+ "version": "2.0.0",
+ "resolved": "https://registry.npmmirror.com/mdast-util-newline-to-break/-/mdast-util-newline-to-break-2.0.0.tgz",
+ "integrity": "sha512-MbgeFca0hLYIEx/2zGsszCSEJJ1JSCdiY5xQxRcLDDGa8EPvlLPupJ4DSajbMPAnC0je8jfb9TiUATnxxrHUog==",
+ "license": "MIT",
+ "dependencies": {
+ "@types/mdast": "^4.0.0",
+ "mdast-util-find-and-replace": "^3.0.0"
+ },
+ "funding": {
+ "type": "opencollective",
+ "url": "https://opencollective.com/unified"
+ }
+ },
"node_modules/mdast-util-phrasing": {
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@@ -22539,6 +22554,21 @@
"url": "https://opencollective.com/unified"
}
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+ "node_modules/remark-breaks": {
+ "version": "4.0.0",
+ "resolved": "https://registry.npmmirror.com/remark-breaks/-/remark-breaks-4.0.0.tgz",
+ "integrity": "sha512-IjEjJOkH4FuJvHZVIW0QCDWxcG96kCq7An/KVH2NfJe6rKZU2AsHeB3OEjPNRxi4QC34Xdx7I2KGYn6IpT7gxQ==",
+ "license": "MIT",
+ "dependencies": {
+ "@types/mdast": "^4.0.0",
+ "mdast-util-newline-to-break": "^2.0.0",
+ "unified": "^11.0.0"
+ },
+ "funding": {
+ "type": "opencollective",
+ "url": "https://opencollective.com/unified"
+ }
+ },
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"resolved": "https://registry.npmmirror.com/remark-gfm/-/remark-gfm-4.0.1.tgz",
diff --git a/web/package.json b/web/package.json
index 4e0485c6d98..6dbed295b41 100644
--- a/web/package.json
+++ b/web/package.json
@@ -122,6 +122,7 @@
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"rehype-katex": "^7.0.1",
"rehype-raw": "^7.0.0",
+ "remark-breaks": "^4.0.0",
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"remark-math": "^6.0.0",
"sonner": "^1.7.4",
diff --git a/web/src/assets/svg/data-source/rest-api.svg b/web/src/assets/svg/data-source/rest-api.svg
new file mode 100644
index 00000000000..f7d3e6d213a
--- /dev/null
+++ b/web/src/assets/svg/data-source/rest-api.svg
@@ -0,0 +1,13 @@
+
diff --git a/web/src/components/chunk-method-dialog/index.tsx b/web/src/components/chunk-method-dialog/index.tsx
index aa6c2398354..21650d7e6d5 100644
--- a/web/src/components/chunk-method-dialog/index.tsx
+++ b/web/src/components/chunk-method-dialog/index.tsx
@@ -17,7 +17,7 @@ import { DocumentParserType, ParseType } from '@/constants/knowledge';
import { useFetchKnowledgeBaseConfiguration } from '@/hooks/use-knowledge-request';
import { IModalProps } from '@/interfaces/common';
import { IParserConfig } from '@/interfaces/database/document';
-import { IChangeParserConfigRequestBody } from '@/interfaces/request/document';
+import { IChangeParserRequestBody } from '@/interfaces/request/document';
import { MetadataType } from '@/pages/dataset/components/metedata/constant';
import {
AutoMetadata,
@@ -28,7 +28,6 @@ import {
} from '@/pages/dataset/dataset-setting/configuration/common-item';
import { zodResolver } from '@hookform/resolvers/zod';
import omit from 'lodash/omit';
-import {} from 'module';
import { useEffect, useMemo } from 'react';
import { useForm, useWatch } from 'react-hook-form';
import { useTranslation } from 'react-i18next';
@@ -56,10 +55,7 @@ import {
const FormId = 'ChunkMethodDialogForm';
-interface IProps extends IModalProps<{
- parserId: string;
- parserConfig: IChangeParserConfigRequestBody;
-}> {
+interface IProps extends IModalProps {
loading: boolean;
parserId: string;
pipelineId?: string;
@@ -126,16 +122,19 @@ export function ChunkMethodDialog({
mineru_formula_enable: z.boolean().optional(),
mineru_table_enable: z.boolean().optional(),
mineru_lang: z.string().optional(),
- // raptor: z
- // .object({
- // use_raptor: z.boolean().optional(),
- // prompt: z.string().optional().optional(),
- // max_token: z.coerce.number().optional(),
- // threshold: z.coerce.number().optional(),
- // max_cluster: z.coerce.number().optional(),
- // random_seed: z.coerce.number().optional(),
- // })
- // .optional(),
+ raptor: z
+ .object({
+ use_raptor: z.boolean().optional(),
+ prompt: z.string().optional(),
+ max_token: z.coerce.number().optional(),
+ threshold: z.coerce.number().optional(),
+ max_cluster: z.coerce.number().optional(),
+ random_seed: z.coerce.number().optional(),
+ scope: z.string().optional(),
+ clustering_method: z.enum(['gmm', 'ahc']).optional(),
+ tree_builder: z.enum(['raptor', 'psi']).optional(),
+ })
+ .optional(),
// graphrag: z.object({
// use_graphrag: z.boolean().optional(),
// }),
diff --git a/web/src/components/chunk-method-dialog/use-default-parser-values.ts b/web/src/components/chunk-method-dialog/use-default-parser-values.ts
index 47af38771b9..84f7c9e3c3d 100644
--- a/web/src/components/chunk-method-dialog/use-default-parser-values.ts
+++ b/web/src/components/chunk-method-dialog/use-default-parser-values.ts
@@ -23,14 +23,17 @@ export function useDefaultParserValues() {
mineru_formula_enable: true,
mineru_table_enable: true,
mineru_lang: 'English',
- // raptor: {
- // use_raptor: false,
- // prompt: t('knowledgeConfiguration.promptText'),
- // max_token: 256,
- // threshold: 0.1,
- // max_cluster: 64,
- // random_seed: 0,
- // },
+ raptor: {
+ use_raptor: false,
+ prompt: t('knowledgeConfiguration.promptText'),
+ max_token: 256,
+ threshold: 0.1,
+ max_cluster: 64,
+ random_seed: 0,
+ scope: 'file',
+ clustering_method: 'gmm',
+ tree_builder: 'raptor',
+ },
// graphrag: {
// use_graphrag: false,
// },
diff --git a/web/src/components/document-preview/doc-preview.tsx b/web/src/components/document-preview/doc-preview.tsx
index 147b457c6fe..67d956d9175 100644
--- a/web/src/components/document-preview/doc-preview.tsx
+++ b/web/src/components/document-preview/doc-preview.tsx
@@ -118,7 +118,7 @@ export const DocPreviewer: React.FC = ({
return (
diff --git a/web/src/components/document-preview/md/index.tsx b/web/src/components/document-preview/md/index.tsx
index bdc30f91bc1..13f1af3c2f4 100644
--- a/web/src/components/document-preview/md/index.tsx
+++ b/web/src/components/document-preview/md/index.tsx
@@ -1,10 +1,10 @@
import { Authorization } from '@/constants/authorization';
+import { MarkdownRemarkPluginsLite } from '@/constants/markdown-remark-plugins';
import { cn } from '@/lib/utils';
import FileError from '@/pages/document-viewer/file-error';
import { getAuthorization } from '@/utils/authorization-util';
import React, { useEffect, useState } from 'react';
import ReactMarkdown from 'react-markdown';
-import remarkGfm from 'remark-gfm';
interface MdProps {
// filePath: string;
@@ -34,7 +34,9 @@ export const Md: React.FC = ({ url, className }) => {
style={{ padding: 4, overflow: 'scroll' }}
className={cn(className, 'markdown-body h-[calc(100vh - 200px)]')}
>
- {content}
+
+ {content}
+
);
};
diff --git a/web/src/components/document-preview/ppt-preview.tsx b/web/src/components/document-preview/ppt-preview.tsx
index 4895ad9fe33..d95e05c46d7 100644
--- a/web/src/components/document-preview/ppt-preview.tsx
+++ b/web/src/components/document-preview/ppt-preview.tsx
@@ -41,7 +41,7 @@ export const PptPreviewer: React.FC = ({
});
pptxPrviewer.preview(arrayBuffer);
}
- } catch (err) {
+ } catch {
message.error('ppt parse failed');
}
};
diff --git a/web/src/components/dynamic-form.tsx b/web/src/components/dynamic-form.tsx
index 5c9fff5eaf4..0920e2422ef 100644
--- a/web/src/components/dynamic-form.tsx
+++ b/web/src/components/dynamic-form.tsx
@@ -111,10 +111,12 @@ interface DynamicFormProps {
// Form ref interface
export interface DynamicFormRef {
submit: () => void;
+ isDirty: () => boolean;
getValues: (name?: string) => any;
reset: (values?: any) => void;
trigger: UseFormTrigger;
watch: (field: string, callback: (value: any) => void) => () => void;
+ watchDirty: (callback: (isDirty: boolean, values: any) => void) => () => void;
updateFieldType: (fieldName: string, newType: FormFieldType) => void;
onFieldUpdate: (
fieldName: string,
@@ -347,7 +349,6 @@ export const RenderField = ({
field: FormFieldConfig;
labelClassName?: string;
}) => {
- const form = useFormContext();
if (field.render) {
if (field.type === FormFieldType.Custom && field.hideLabel) {
return {field.render({})}
;
@@ -810,6 +811,7 @@ const DynamicForm = {
onSubmit(filteredValues);
})();
},
+ isDirty: () => form.formState.isDirty,
getValues: form.getValues,
reset: (values?: T) => {
if (values) {
@@ -829,6 +831,12 @@ const DynamicForm = {
});
return unsubscribe;
},
+ watchDirty: (callback: (isDirty: boolean, values: any) => void) => {
+ const { unsubscribe } = form.watch((values: any) => {
+ callback(form.formState.isDirty, values);
+ });
+ return unsubscribe;
+ },
onFieldUpdate: (
fieldName: string,
diff --git a/web/src/components/embed-dialog/index.tsx b/web/src/components/embed-dialog/index.tsx
index d2656b2ae07..dbb45df2471 100644
--- a/web/src/components/embed-dialog/index.tsx
+++ b/web/src/components/embed-dialog/index.tsx
@@ -1,6 +1,6 @@
import CopyToClipboard from '@/components/copy-to-clipboard';
import { SelectWithSearch } from '@/components/originui/select-with-search';
-import { Button } from '@/components/ui/button';
+import { Button, ButtonLoading } from '@/components/ui/button';
import {
Dialog,
DialogContent,
@@ -17,6 +17,7 @@ import {
} from '@/components/ui/form';
import { Label } from '@/components/ui/label';
import { RadioGroup, RadioGroupItem } from '@/components/ui/radio-group';
+import { Tabs, TabsContent, TabsList, TabsTrigger } from '@/components/ui/tabs';
import { SharedFrom } from '@/constants/chat';
import {
LanguageAbbreviation,
@@ -48,23 +49,78 @@ const FormSchema = z.object({
locale: z.string(),
embedType: z.enum(['fullscreen', 'widget']),
enableStreaming: z.boolean(),
+ muteWidget: z.boolean(),
theme: z.enum([ThemeEnum.Light, ThemeEnum.Dark]),
userId: z.string().optional(),
+ widgetTitle: z.string(),
+ widgetSubtitle: z.string(),
+ widgetFooterText: z.string(),
+ widgetFooterLink: z.string(),
+ widgetAccentColor: z.string(),
+ widgetBackgroundColor: z.string(),
+ widgetTextColor: z.string(),
+ widgetHeaderTextColor: z.string(),
+ widgetFooterTextColor: z.string(),
});
+export type WidgetSettings = Pick<
+ z.infer,
+ | 'enableStreaming'
+ | 'muteWidget'
+ | 'widgetTitle'
+ | 'widgetSubtitle'
+ | 'widgetFooterText'
+ | 'widgetFooterLink'
+ | 'widgetAccentColor'
+ | 'widgetBackgroundColor'
+ | 'widgetTextColor'
+ | 'widgetHeaderTextColor'
+ | 'widgetFooterTextColor'
+>;
+
+export const defaultWidgetSettings: WidgetSettings = {
+ enableStreaming: false,
+ muteWidget: false,
+ widgetTitle: '',
+ widgetSubtitle: '',
+ widgetFooterText: '',
+ widgetFooterLink: '',
+ widgetAccentColor: '#2563eb',
+ widgetBackgroundColor: '#ffffff',
+ widgetTextColor: '#111827',
+ widgetHeaderTextColor: '#ffffff',
+ widgetFooterTextColor: '#111827',
+};
+
type IProps = IModalProps & {
token: string;
from: SharedFrom;
beta: string;
isAgent: boolean;
+ initialWidgetSettings?: Partial;
+ onSaveWidgetSettings?: (settings: WidgetSettings) => Promise;
+ savingWidgetSettings?: boolean;
+};
+
+const normalizeHexColor = (value: string | undefined, fallback: string) => {
+ const normalizedValue = value?.trim() ?? '';
+ return /^#([0-9a-f]{3}|[0-9a-f]{6})$/i.test(normalizedValue)
+ ? normalizedValue
+ : fallback;
};
+/**
+ * Builds the embed code preview and customization UI for shared chat and agent widgets.
+ */
function EmbedDialog({
hideModal,
token = '',
from,
beta = '',
isAgent,
+ initialWidgetSettings,
+ onSaveWidgetSettings,
+ savingWidgetSettings,
visible,
}: IProps) {
const { t } = useTranslation();
@@ -77,8 +133,9 @@ function EmbedDialog({
published: false,
locale: '',
embedType: 'fullscreen' as const,
- enableStreaming: false,
theme: ThemeEnum.Light,
+ ...defaultWidgetSettings,
+ ...initialWidgetSettings,
},
});
@@ -98,8 +155,18 @@ function EmbedDialog({
locale,
embedType,
enableStreaming,
+ muteWidget,
theme,
userId,
+ widgetTitle,
+ widgetSubtitle,
+ widgetFooterText,
+ widgetFooterLink,
+ widgetAccentColor,
+ widgetBackgroundColor,
+ widgetTextColor,
+ widgetHeaderTextColor,
+ widgetFooterTextColor,
} = values;
const baseRoute =
embedType === 'widget'
@@ -125,6 +192,39 @@ function EmbedDialog({
if (embedType === 'widget') {
src.searchParams.append('mode', 'master');
src.searchParams.append('streaming', String(enableStreaming));
+ src.searchParams.append('muted', String(muteWidget));
+ if (!isEmpty(trim(widgetTitle))) {
+ src.searchParams.append('widget_title', widgetTitle ?? '');
+ }
+ if (!isEmpty(trim(widgetSubtitle))) {
+ src.searchParams.append('widget_subtitle', widgetSubtitle ?? '');
+ }
+ if (!isEmpty(trim(widgetFooterText))) {
+ src.searchParams.append('widget_footer', widgetFooterText ?? '');
+ }
+ if (!isEmpty(trim(widgetFooterLink))) {
+ src.searchParams.append('widget_footer_link', widgetFooterLink ?? '');
+ }
+ src.searchParams.append(
+ 'widget_accent_color',
+ normalizeHexColor(widgetAccentColor, '#2563eb'),
+ );
+ src.searchParams.append(
+ 'widget_background_color',
+ normalizeHexColor(widgetBackgroundColor, '#ffffff'),
+ );
+ src.searchParams.append(
+ 'widget_text_color',
+ normalizeHexColor(widgetTextColor, '#111827'),
+ );
+ src.searchParams.append(
+ 'widget_header_text_color',
+ normalizeHexColor(widgetHeaderTextColor, '#ffffff'),
+ );
+ src.searchParams.append(
+ 'widget_footer_text_color',
+ normalizeHexColor(widgetFooterTextColor, '#111827'),
+ );
}
if (theme && embedType === 'fullscreen') {
src.searchParams.append('theme', theme);
@@ -179,9 +279,29 @@ window.addEventListener('message',e=>{
window.open(iframeSrc, '_blank');
}, [generateIframeSrc]);
+ const handleSaveWidgetSettings = useCallback(async () => {
+ if (!onSaveWidgetSettings) {
+ return;
+ }
+
+ await onSaveWidgetSettings({
+ enableStreaming: values.enableStreaming,
+ muteWidget: values.muteWidget,
+ widgetTitle: values.widgetTitle,
+ widgetSubtitle: values.widgetSubtitle,
+ widgetFooterText: values.widgetFooterText,
+ widgetFooterLink: values.widgetFooterLink,
+ widgetAccentColor: values.widgetAccentColor,
+ widgetBackgroundColor: values.widgetBackgroundColor,
+ widgetTextColor: values.widgetTextColor,
+ widgetHeaderTextColor: values.widgetHeaderTextColor,
+ widgetFooterTextColor: values.widgetFooterTextColor,
+ });
+ }, [onSaveWidgetSettings, values]);
+
return (
+ 
- 
@@ -192,12 +192,12 @@ releases! 🌟
> All Docker images are built for x86 platforms. We don't currently offer Docker images for ARM64.
> If you are on an ARM64 platform, follow [this guide](https://ragflow.io/docs/dev/build_docker_image) to build a Docker image compatible with your system.
-> The command below downloads the `v0.25.2` edition of the RAGFlow Docker image. See the following table for descriptions of different RAGFlow editions. To download a RAGFlow edition different from `v0.25.2`, update the `RAGFLOW_IMAGE` variable accordingly in **docker/.env** before using `docker compose` to start the server.
+> The command below downloads the `v0.25.5` edition of the RAGFlow Docker image. See the following table for descriptions of different RAGFlow editions. To download a RAGFlow edition different from `v0.25.5`, update the `RAGFLOW_IMAGE` variable accordingly in **docker/.env** before using `docker compose` to start the server.
```bash
$ cd ragflow/docker
- # git checkout v0.25.2
+ # git checkout v0.25.5
# Optional: use a stable tag (see releases: https://github.com/infiniflow/ragflow/releases)
# This step ensures the **entrypoint.sh** file in the code matches the Docker image version.
diff --git a/README_ar.md b/README_ar.md
index a02003d8342..1f7393945e7 100644
--- a/README_ar.md
+++ b/README_ar.md
@@ -25,7 +25,7 @@
@@ -189,12 +189,12 @@ Essayez notre service cloud sur [https://cloud.ragflow.io](https://cloud.ragflow
> Toutes les images Docker sont construites pour les plateformes x86. Nous ne proposons pas actuellement d'images Docker pour ARM64.
> Si vous êtes sur une plateforme ARM64, suivez [ce guide](https://ragflow.io/docs/dev/build_docker_image) pour construire une image Docker compatible avec votre système.
-> La commande ci-dessous télécharge l'édition `v0.25.2` de l'image Docker RAGFlow. Consultez le tableau suivant pour les descriptions des différentes éditions de RAGFlow. Pour télécharger une édition de RAGFlow différente de `v0.25.2`, mettez à jour la variable `RAGFLOW_IMAGE` dans **docker/.env** avant d'utiliser `docker compose` pour démarrer le serveur.
+> La commande ci-dessous télécharge l'édition `v0.25.5` de l'image Docker RAGFlow. Consultez le tableau suivant pour les descriptions des différentes éditions de RAGFlow. Pour télécharger une édition de RAGFlow différente de `v0.25.5`, mettez à jour la variable `RAGFLOW_IMAGE` dans **docker/.env** avant d'utiliser `docker compose` pour démarrer le serveur.
```bash
$ cd ragflow/docker
- # git checkout v0.25.2
+ # git checkout v0.25.5
# Optionnel : utiliser un tag stable (voir les versions : https://github.com/infiniflow/ragflow/releases)
# Cette étape garantit que le fichier **entrypoint.sh** dans le code correspond à la version de l'image Docker.
diff --git a/README_id.md b/README_id.md
index d2cecfcfc5a..a9d45317feb 100644
--- a/README_id.md
+++ b/README_id.md
@@ -25,7 +25,7 @@
@@ -192,12 +192,12 @@ Coba layanan cloud kami di [https://cloud.ragflow.io](https://cloud.ragflow.io).
> Semua gambar Docker dibangun untuk platform x86. Saat ini, kami tidak menawarkan gambar Docker untuk ARM64.
> Jika Anda menggunakan platform ARM64, [silakan gunakan panduan ini untuk membangun gambar Docker yang kompatibel dengan sistem Anda](https://ragflow.io/docs/dev/build_docker_image).
-> Perintah di bawah ini mengunduh edisi v0.25.2 dari gambar Docker RAGFlow. Silakan merujuk ke tabel berikut untuk deskripsi berbagai edisi RAGFlow. Untuk mengunduh edisi RAGFlow yang berbeda dari v0.25.2, perbarui variabel RAGFLOW_IMAGE di docker/.env sebelum menggunakan docker compose untuk memulai server.
+> Perintah di bawah ini mengunduh edisi v0.25.5 dari gambar Docker RAGFlow. Silakan merujuk ke tabel berikut untuk deskripsi berbagai edisi RAGFlow. Untuk mengunduh edisi RAGFlow yang berbeda dari v0.25.5, perbarui variabel RAGFLOW_IMAGE di docker/.env sebelum menggunakan docker compose untuk memulai server.
```bash
$ cd ragflow/docker
- # git checkout v0.25.2
+ # git checkout v0.25.5
# Opsional: gunakan tag stabil (lihat releases: https://github.com/infiniflow/ragflow/releases)
# This steps ensures the **entrypoint.sh** file in the code matches the Docker image version.
diff --git a/README_ja.md b/README_ja.md
index 1d4100d2eda..185d6e9c360 100644
--- a/README_ja.md
+++ b/README_ja.md
@@ -25,7 +25,7 @@
@@ -192,12 +192,12 @@ Experimente o nosso serviço na nuvem em [https://cloud.ragflow.io](https://clou
> Todas as imagens Docker são construídas para plataformas x86. Atualmente, não oferecemos imagens Docker para ARM64.
> Se você estiver usando uma plataforma ARM64, por favor, utilize [este guia](https://ragflow.io/docs/dev/build_docker_image) para construir uma imagem Docker compatível com o seu sistema.
- > O comando abaixo baixa a edição`v0.25.2` da imagem Docker do RAGFlow. Consulte a tabela a seguir para descrições de diferentes edições do RAGFlow. Para baixar uma edição do RAGFlow diferente da `v0.25.2`, atualize a variável `RAGFLOW_IMAGE` conforme necessário no **docker/.env** antes de usar `docker compose` para iniciar o servidor.
+ > O comando abaixo baixa a edição`v0.25.5` da imagem Docker do RAGFlow. Consulte a tabela a seguir para descrições de diferentes edições do RAGFlow. Para baixar uma edição do RAGFlow diferente da `v0.25.5`, atualize a variável `RAGFLOW_IMAGE` conforme necessário no **docker/.env** antes de usar `docker compose` para iniciar o servidor.
```bash
$ cd ragflow/docker
- # git checkout v0.25.2
+ # git checkout v0.25.5
# Opcional: use uma tag estável (veja releases: https://github.com/infiniflow/ragflow/releases)
# Esta etapa garante que o arquivo entrypoint.sh no código corresponda à versão da imagem do Docker.
diff --git a/README_tr.md b/README_tr.md
index c022dcbf7a1..778d4122fbc 100644
--- a/README_tr.md
+++ b/README_tr.md
@@ -25,7 +25,7 @@
@@ -190,12 +190,12 @@ Bulut hizmetimizi [https://cloud.ragflow.io](https://cloud.ragflow.io) adresinde
> Tüm Docker imajları x86 platformları için oluşturulmuştur. Şu anda ARM64 için Docker imajı sunmuyoruz.
> ARM64 platformundaysanız, sisteminizle uyumlu bir Docker imajı oluşturmak için [bu kılavuzu](https://ragflow.io/docs/dev/build_docker_image) takip edin.
-> Aşağıdaki komut RAGFlow Docker imajının `v0.25.2` sürümünü indirir. Farklı RAGFlow sürümleri için aşağıdaki tabloya bakın. `v0.25.2` dışında bir sürüm indirmek için, `docker compose` ile sunucuyu başlatmadan önce **docker/.env** dosyasındaki `RAGFLOW_IMAGE` değişkenini güncelleyin.
+> Aşağıdaki komut RAGFlow Docker imajının `v0.25.5` sürümünü indirir. Farklı RAGFlow sürümleri için aşağıdaki tabloya bakın. `v0.25.5` dışında bir sürüm indirmek için, `docker compose` ile sunucuyu başlatmadan önce **docker/.env** dosyasındaki `RAGFLOW_IMAGE` değişkenini güncelleyin.
```bash
$ cd ragflow/docker
- # git checkout v0.25.2
+ # git checkout v0.25.5
# İsteğe bağlı: Kararlı bir etiket kullanın (sürümler: https://github.com/infiniflow/ragflow/releases)
# Bu adım, koddaki **entrypoint.sh** dosyasının Docker imaj sürümüyle eşleşmesini sağlar.
diff --git a/README_tzh.md b/README_tzh.md
index 172c54a2955..0d6c95af03f 100644
--- a/README_tzh.md
+++ b/README_tzh.md
@@ -25,7 +25,7 @@