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Feat: add new tests and tescases for restful api suite (#15208)

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### What problem does this PR solve?

extend restful api suite

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
- [x] Other (please describe): test
This commit is contained in:
Idriss Sbaaoui
2026-05-25 19:03:56 +08:00
committed by GitHub
parent c7c75c0a87
commit 7d200d5bd7
1 changed files with 664 additions and 1 deletions
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665
test/testcases/restful_api/test_datasets.py
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@@ -15,7 +15,10 @@
#
import pytest
from configs import DATASET_NAME_LIMIT
from concurrent.futures import ThreadPoolExecutor, as_completed
from configs import DATASET_NAME_LIMIT, DEFAULT_PARSER_CONFIG
from test.testcases.utils import encode_avatar
from test.testcases.utils.file_utils import create_image_file
@pytest.mark.p1
@@ -88,6 +91,666 @@ def test_dataset_create_name_validation(rest_client, clear_datasets, name, expec
assert expected_fragment in payload["message"], payload
@pytest.mark.p2
def test_dataset_create_name_and_case_insensitive_contract(rest_client, clear_datasets):
name = "CaseInsensitive"
first_res = rest_client.post("/datasets", json={"name": name.upper()})
assert first_res.status_code == 200
first_payload = first_res.json()
assert first_payload["code"] == 0, first_payload
assert first_payload["data"]["name"] == name.upper(), first_payload
second_res = rest_client.post("/datasets", json={"name": name.lower()})
assert second_res.status_code == 200
second_payload = second_res.json()
assert second_payload["code"] == 0, second_payload
assert second_payload["data"]["name"] == f"{name.lower()}(1)", second_payload
@pytest.mark.p2
def test_dataset_create_avatar_and_description_contract(rest_client, clear_datasets):
avatar = "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mP8/w8AAgMBgN6J1tQAAAAASUVORK5CYII="
payload = {
"name": "dataset_avatar_description",
"avatar": avatar,
"description": "description",
}
res = rest_client.post("/datasets", json=payload)
assert res.status_code == 200
body = res.json()
assert body["code"] == 0, body
assert body["data"]["avatar"] == avatar, body
assert body["data"]["description"] == "description", body
@pytest.mark.p2
@pytest.mark.parametrize(
"name, chunk_method",
[
("naive", "naive"),
("book", "book"),
("email", "email"),
("laws", "laws"),
("manual", "manual"),
("one", "one"),
("paper", "paper"),
("picture", "picture"),
("presentation", "presentation"),
("qa", "qa"),
("table", "table"),
("tag", "tag"),
],
ids=["naive", "book", "email", "laws", "manual", "one", "paper", "picture", "presentation", "qa", "table", "tag"],
)
def test_dataset_create_chunk_method_contract(rest_client, clear_datasets, name, chunk_method):
res = rest_client.post("/datasets", json={"name": name, "chunk_method": chunk_method})
assert res.status_code == 200
payload = res.json()
assert payload["code"] == 0, payload
assert payload["data"]["chunk_method"] == chunk_method, payload
@pytest.mark.p2
@pytest.mark.parametrize(
"name, permission",
[
("me", "me"),
("team", "team"),
],
ids=["me", "team"],
)
def test_dataset_create_permission_contract(rest_client, clear_datasets, name, permission):
res = rest_client.post("/datasets", json={"name": name, "permission": permission})
assert res.status_code == 200
payload = res.json()
assert payload["code"] == 0, payload
assert payload["data"]["permission"] == permission, payload
@pytest.mark.p2
@pytest.mark.parametrize(
"name, embedding_model, expected_code, expected_embedding_model, expected_message, unauthorized_is_xfail",
[
("builtin_baai", "BAAI/bge-small-en-v1.5@Builtin", 0, "BAAI/bge-small-en-v1.5@Builtin", None, False),
("tenant_zhipu", "embedding-3@ZHIPU-AI", 0, "embedding-3@ZHIPU-AI", None, True),
("embedding_model_unset", "__UNSET__", 0, "BAAI/bge-small-en-v1.5@Builtin", None, False),
("embedding_model_none", None, 0, "BAAI/bge-small-en-v1.5@Builtin", None, False),
("unknown_llm_name", "unknown@ZHIPU-AI", 102, None, "Unsupported model: <unknown@ZHIPU-AI>", False),
("unknown_llm_factory", "embedding-3@unknown", 102, None, "Unsupported model: <embedding-3@unknown>", False),
(
"tenant_no_auth_default_tenant_llm",
"text-embedding-v3@Tongyi-Qianwen",
102,
None,
"Unauthorized model: <text-embedding-v3@Tongyi-Qianwen>",
False,
),
("tenant_no_auth", "text-embedding-3-small@OpenAI", 102, None, "Unauthorized model: <text-embedding-3-small@OpenAI>", False),
],
ids=[
"builtin_baai",
"tenant_zhipu",
"embedding_model_unset",
"embedding_model_none",
"unknown_llm_name",
"unknown_llm_factory",
"tenant_no_auth_default_tenant_llm",
"tenant_no_auth",
],
)
def test_dataset_create_embedding_model_contract(
rest_client, clear_datasets, name, embedding_model, expected_code, expected_embedding_model, expected_message, unauthorized_is_xfail
):
req = {"name": name}
if embedding_model != "__UNSET__":
req["embedding_model"] = embedding_model
res = rest_client.post("/datasets", json=req)
assert res.status_code == 200
payload = res.json()
if unauthorized_is_xfail and payload["code"] == 102:
pytest.xfail(f"Environment has no authorized tenant model for {embedding_model}: {payload}")
assert payload["code"] == expected_code, payload
if expected_embedding_model is not None:
assert payload["data"]["embedding_model"] == expected_embedding_model, payload
if expected_message is not None:
assert payload["message"] == expected_message, payload
@pytest.mark.p2
@pytest.mark.parametrize(
"name, embedding_model, expected_fragment",
[
("empty", "", "Embedding model identifier must follow <model_name>@<provider> format"),
("space", " ", "Embedding model identifier must follow <model_name>@<provider> format"),
("missing_at", "BAAI/bge-small-en-v1.5Builtin", "Embedding model identifier must follow <model_name>@<provider> format"),
("missing_model_name", "@Builtin", "Both model_name and provider must be non-empty strings"),
("missing_provider", "BAAI/bge-small-en-v1.5@", "Both model_name and provider must be non-empty strings"),
("whitespace_only_model_name", " @Builtin", "Both model_name and provider must be non-empty strings"),
("whitespace_only_provider", "BAAI/bge-small-env1.5@ ", "Both model_name and provider must be non-empty strings"),
],
ids=["empty", "space", "missing_at", "empty_model_name", "empty_provider", "whitespace_only_model_name", "whitespace_only_provider"],
)
def test_dataset_create_embedding_model_format_contract(rest_client, clear_datasets, name, embedding_model, expected_fragment):
res = rest_client.post("/datasets", json={"name": name, "embedding_model": embedding_model})
assert res.status_code == 200
payload = res.json()
assert payload["code"] == 101, payload
assert expected_fragment in payload["message"], payload
@pytest.mark.p2
def test_dataset_create_parser_config_missing_raptor_and_graphrag(rest_client, clear_datasets):
payload = {
"name": "test_parser_config_missing_fields",
"parser_config": {"chunk_token_num": 1024},
}
res = rest_client.post("/datasets", json=payload)
assert res.status_code == 200
body = res.json()
assert body["code"] == 0, body
parser_config = body["data"]["parser_config"]
assert "raptor" in parser_config, body
assert "graphrag" in parser_config, body
assert parser_config["raptor"]["use_raptor"] is False, body
assert parser_config["graphrag"]["use_graphrag"] is False, body
assert parser_config["chunk_token_num"] == 1024, body
@pytest.mark.p3
def test_dataset_create_1k_contract(rest_client, clear_datasets):
for i in range(1_000):
res = rest_client.post("/datasets", json={"name": f"dataset_{i}"})
assert res.status_code == 200, (i, res.text)
payload = res.json()
assert payload["code"] == 0, (i, payload)
@pytest.mark.p3
def test_dataset_create_concurrent_contract(rest_client, clear_datasets):
count = 100
with ThreadPoolExecutor(max_workers=5) as executor:
futures = [executor.submit(rest_client.post, "/datasets", json={"name": f"dataset_{i}"}) for i in range(count)]
responses = list(as_completed(futures))
assert len(responses) == count, responses
for index, future in enumerate(futures):
res = future.result()
assert res.status_code == 200, (index, res.text)
payload = res.json()
assert payload["code"] == 0, (index, payload)
@pytest.mark.p2
@pytest.mark.parametrize(
"name, parser_config",
[
("auto_keywords_min", {"auto_keywords": 0}),
("auto_keywords_mid", {"auto_keywords": 16}),
("auto_keywords_max", {"auto_keywords": 32}),
("auto_questions_min", {"auto_questions": 0}),
("auto_questions_mid", {"auto_questions": 5}),
("auto_questions_max", {"auto_questions": 10}),
("chunk_token_num_min", {"chunk_token_num": 1}),
("chunk_token_num_mid", {"chunk_token_num": 1024}),
("chunk_token_num_max", {"chunk_token_num": 2048}),
("delimiter", {"delimiter": "\n"}),
("delimiter_space", {"delimiter": " "}),
("html4excel_true", {"html4excel": True}),
("html4excel_false", {"html4excel": False}),
("layout_recognize_DeepDOC", {"layout_recognize": "DeepDOC"}),
("layout_recognize_navie", {"layout_recognize": "Plain Text"}),
("tag_kb_ids", {"tag_kb_ids": ["1", "2"]}),
("topn_tags_min", {"topn_tags": 1}),
("topn_tags_mid", {"topn_tags": 5}),
("topn_tags_max", {"topn_tags": 10}),
("filename_embd_weight_min", {"filename_embd_weight": 0.1}),
("filename_embd_weight_mid", {"filename_embd_weight": 0.5}),
("filename_embd_weight_max", {"filename_embd_weight": 1.0}),
("task_page_size_min", {"task_page_size": 1}),
("task_page_size_None", {"task_page_size": None}),
("pages", {"pages": [[1, 100]]}),
("pages_none", {"pages": None}),
("graphrag_true", {"graphrag": {"use_graphrag": True}}),
("graphrag_false", {"graphrag": {"use_graphrag": False}}),
("graphrag_entity_types", {"graphrag": {"entity_types": ["age", "sex", "height", "weight"]}}),
("graphrag_method_general", {"graphrag": {"method": "general"}}),
("graphrag_method_light", {"graphrag": {"method": "light"}}),
("graphrag_community_true", {"graphrag": {"community": True}}),
("graphrag_community_false", {"graphrag": {"community": False}}),
("graphrag_resolution_true", {"graphrag": {"resolution": True}}),
("graphrag_resolution_false", {"graphrag": {"resolution": False}}),
("raptor_true", {"raptor": {"use_raptor": True}}),
("raptor_false", {"raptor": {"use_raptor": False}}),
("raptor_prompt", {"raptor": {"prompt": "Who are you?"}}),
("raptor_max_token_min", {"raptor": {"max_token": 1}}),
("raptor_max_token_mid", {"raptor": {"max_token": 1024}}),
("raptor_max_token_max", {"raptor": {"max_token": 2048}}),
("raptor_threshold_min", {"raptor": {"threshold": 0.0}}),
("raptor_threshold_mid", {"raptor": {"threshold": 0.5}}),
("raptor_threshold_max", {"raptor": {"threshold": 1.0}}),
("raptor_max_cluster_min", {"raptor": {"max_cluster": 1}}),
("raptor_max_cluster_mid", {"raptor": {"max_cluster": 512}}),
("raptor_max_cluster_max", {"raptor": {"max_cluster": 1024}}),
("raptor_random_seed_min", {"raptor": {"random_seed": 0}}),
("parent_child_true", {"parent_child": {"use_parent_child": True}}),
("parent_child_false", {"parent_child": {"use_parent_child": False}}),
("parent_child_delimiter", {"parent_child": {"children_delimiter": "\n\n"}}),
("parent_child_delimiter_custom", {"parent_child": {"use_parent_child": True, "children_delimiter": "。"}}),
],
ids=[
"auto_keywords_min",
"auto_keywords_mid",
"auto_keywords_max",
"auto_questions_min",
"auto_questions_mid",
"auto_questions_max",
"chunk_token_num_min",
"chunk_token_num_mid",
"chunk_token_num_max",
"delimiter",
"delimiter_space",
"html4excel_true",
"html4excel_false",
"layout_recognize_DeepDOC",
"layout_recognize_navie",
"tag_kb_ids",
"topn_tags_min",
"topn_tags_mid",
"topn_tags_max",
"filename_embd_weight_min",
"filename_embd_weight_mid",
"filename_embd_weight_max",
"task_page_size_min",
"task_page_size_None",
"pages",
"pages_none",
"graphrag_true",
"graphrag_false",
"graphrag_entity_types",
"graphrag_method_general",
"graphrag_method_light",
"graphrag_community_true",
"graphrag_community_false",
"graphrag_resolution_true",
"graphrag_resolution_false",
"raptor_true",
"raptor_false",
"raptor_prompt",
"raptor_max_token_min",
"raptor_max_token_mid",
"raptor_max_token_max",
"raptor_threshold_min",
"raptor_threshold_mid",
"raptor_threshold_max",
"raptor_max_cluster_min",
"raptor_max_cluster_mid",
"raptor_max_cluster_max",
"raptor_random_seed_min",
"parent_child_true",
"parent_child_false",
"parent_child_delimiter",
"parent_child_delimiter_custom",
],
)
def test_dataset_create_parser_config_valid_matrix_contract(rest_client, clear_datasets, name, parser_config):
payload = {"name": name, "parser_config": parser_config}
res = rest_client.post("/datasets", json=payload)
assert res.status_code == 200
body = res.json()
assert body["code"] == 0, body
actual_parser_config = body["data"]["parser_config"]
for key, expected_value in parser_config.items():
if isinstance(expected_value, dict):
for nested_key, nested_expected in expected_value.items():
assert actual_parser_config[key][nested_key] == nested_expected, body
else:
assert actual_parser_config[key] == expected_value, body
@pytest.mark.p1
@pytest.mark.parametrize(
"name, parser_config, expected_raptor, expected_graphrag",
[
("test_parser_config_only_raptor", {"chunk_token_num": 1024, "raptor": {"use_raptor": True}}, True, False),
("test_parser_config_only_graphrag", {"chunk_token_num": 1024, "graphrag": {"use_graphrag": True}}, False, True),
(
"test_parser_config_both_fields",
{"chunk_token_num": 1024, "raptor": {"use_raptor": True}, "graphrag": {"use_graphrag": True}},
True,
True,
),
],
ids=["only_raptor", "only_graphrag", "both_fields"],
)
def test_dataset_create_parser_config_bugfix_contract(
rest_client, clear_datasets, name, parser_config, expected_raptor, expected_graphrag
):
res = rest_client.post("/datasets", json={"name": name, "parser_config": parser_config})
assert res.status_code == 200
body = res.json()
assert body["code"] == 0, body
actual_parser_config = body["data"]["parser_config"]
assert "raptor" in actual_parser_config, body
assert "graphrag" in actual_parser_config, body
assert actual_parser_config["raptor"]["use_raptor"] is expected_raptor, body
assert actual_parser_config["graphrag"]["use_graphrag"] is expected_graphrag, body
assert actual_parser_config["chunk_token_num"] == 1024, body
@pytest.mark.p2
@pytest.mark.parametrize(
"chunk_method",
["qa", "manual", "paper", "book", "laws", "presentation"],
ids=["qa", "manual", "paper", "book", "laws", "presentation"],
)
def test_dataset_create_parser_config_different_chunk_methods_contract(rest_client, clear_datasets, chunk_method):
payload = {
"name": f"test_parser_config_{chunk_method}",
"chunk_method": chunk_method,
"parser_config": {"chunk_token_num": 512},
}
res = rest_client.post("/datasets", json=payload)
assert res.status_code == 200
body = res.json()
assert body["code"] == 0, body
parser_config = body["data"]["parser_config"]
assert parser_config["chunk_token_num"] == 512, body
assert "raptor" in parser_config, body
assert "graphrag" in parser_config, body
assert parser_config["raptor"]["use_raptor"] is False, body
assert parser_config["graphrag"]["use_graphrag"] is False, body
def test_dataset_create_name_invalid_and_duplicate_contract(rest_client, clear_datasets):
invalid_cases = [
("", "String should have at least 1 character"),
(" ", "String should have at least 1 character"),
("a" * (DATASET_NAME_LIMIT + 1), f"String should have at most {DATASET_NAME_LIMIT} characters"),
(0, "Input should be a valid string"),
(None, "Input should be a valid string"),
]
for name, expected_message in invalid_cases:
res = rest_client.post("/datasets", json={"name": name})
assert res.status_code == 200
payload = res.json()
assert payload["code"] == 101, payload
assert expected_message in payload["message"], payload
create_res = rest_client.post("/datasets", json={"name": "duplicated_name"})
assert create_res.status_code == 200
create_payload = create_res.json()
assert create_payload["code"] == 0, create_payload
duplicate_res = rest_client.post("/datasets", json={"name": "duplicated_name"})
assert duplicate_res.status_code == 200
duplicate_payload = duplicate_res.json()
assert duplicate_payload["code"] == 0, duplicate_payload
assert duplicate_payload["data"]["name"] == "duplicated_name(1)", duplicate_payload
@pytest.mark.p2
def test_dataset_create_content_type_and_payload_bad_contract(rest_client):
bad_content_type = "text/xml"
bad_content_type_res = rest_client.post(
"/datasets",
data='{"name": "bad_content_type"}',
headers={"Content-Type": bad_content_type},
)
assert bad_content_type_res.status_code == 200
bad_content_type_payload = bad_content_type_res.json()
assert bad_content_type_payload["code"] == 101, bad_content_type_payload
assert f"Unsupported content type: Expected application/json, got {bad_content_type}" in bad_content_type_payload["message"], bad_content_type_payload
malformed_json_res = rest_client.post("/datasets", data="a")
assert malformed_json_res.status_code == 200
malformed_json_payload = malformed_json_res.json()
assert malformed_json_payload["code"] == 101, malformed_json_payload
assert "Malformed JSON syntax: Missing commas/brackets or invalid encoding" in malformed_json_payload["message"], malformed_json_payload
invalid_payload_type_res = rest_client.post("/datasets", data='"a"')
assert invalid_payload_type_res.status_code == 200
invalid_payload_type_payload = invalid_payload_type_res.json()
assert invalid_payload_type_payload["code"] == 101, invalid_payload_type_payload
assert "Invalid request payload: expected object, got str" in invalid_payload_type_payload["message"], invalid_payload_type_payload
@pytest.mark.p2
def test_dataset_create_avatar_contract(rest_client, clear_datasets, tmp_path):
exceed_res = rest_client.post(
"/datasets",
json={"name": "avatar_exceeds_limit_length", "avatar": "a" * 65536},
)
assert exceed_res.status_code == 200
exceed_payload = exceed_res.json()
assert exceed_payload["code"] == 101, exceed_payload
assert "String should have at most 65535 characters" in exceed_payload["message"], exceed_payload
image_path = create_image_file(tmp_path / "ragflow_test.png")
encoded_avatar = encode_avatar(image_path)
invalid_prefix_cases = [
("empty_prefix", "", "Missing MIME prefix. Expected format: data:<mime>;base64,<data>"),
("missing_comma", "data:image/png;base64", "Missing MIME prefix. Expected format: data:<mime>;base64,<data>"),
("unsupported_mine_type", "invalid_mine_prefix:image/png;base64,", "Invalid MIME prefix format. Must start with 'data:'"),
("invalid_mine_type", "data:unsupported_mine_type;base64,", "Unsupported MIME type. Allowed: ['image/jpeg', 'image/png']"),
]
for name, prefix, expected_message in invalid_prefix_cases:
res = rest_client.post(
"/datasets",
json={"name": name, "avatar": f"{prefix}{encoded_avatar}"},
)
assert res.status_code == 200
payload = res.json()
assert payload["code"] == 101, payload
assert expected_message in payload["message"], payload
unset_res = rest_client.post("/datasets", json={"name": "avatar_unset"})
assert unset_res.status_code == 200
unset_payload = unset_res.json()
assert unset_payload["code"] == 0, unset_payload
assert unset_payload["data"]["avatar"] is None, unset_payload
none_res = rest_client.post("/datasets", json={"name": "avatar_none", "avatar": None})
assert none_res.status_code == 200
none_payload = none_res.json()
assert none_payload["code"] == 0, none_payload
assert none_payload["data"]["avatar"] is None, none_payload
@pytest.mark.p2
def test_dataset_create_description_contract(rest_client, clear_datasets):
exceeds_limit_res = rest_client.post(
"/datasets",
json={"name": "description_exceeds_limit_length", "description": "a" * 65536},
)
assert exceeds_limit_res.status_code == 200
exceeds_limit_payload = exceeds_limit_res.json()
assert exceeds_limit_payload["code"] == 101, exceeds_limit_payload
assert "String should have at most 65535 characters" in exceeds_limit_payload["message"], exceeds_limit_payload
unset_res = rest_client.post("/datasets", json={"name": "description_unset"})
assert unset_res.status_code == 200
unset_payload = unset_res.json()
assert unset_payload["code"] == 0, unset_payload
assert unset_payload["data"]["description"] is None, unset_payload
none_res = rest_client.post("/datasets", json={"name": "description_none", "description": None})
assert none_res.status_code == 200
none_payload = none_res.json()
assert none_payload["code"] == 0, none_payload
assert none_payload["data"]["description"] is None, none_payload
@pytest.mark.p2
def test_dataset_create_permission_and_chunk_method_contract(rest_client, clear_datasets):
permission_invalid_cases = [
("empty", ""),
("unknown", "unknown"),
("type_error", []),
("me_upercase", "ME"),
("team_upercase", "TEAM"),
("whitespace", " ME "),
]
for name, permission in permission_invalid_cases:
res = rest_client.post("/datasets", json={"name": name, "permission": permission})
assert res.status_code == 200
payload = res.json()
assert payload["code"] == 101, payload
assert "Input should be 'me' or 'team'" in payload["message"], payload
permission_none_res = rest_client.post("/datasets", json={"name": "permission_none", "permission": None})
assert permission_none_res.status_code == 200
permission_none_payload = permission_none_res.json()
assert permission_none_payload["code"] == 101, permission_none_payload
assert "Input should be 'me' or 'team'" in permission_none_payload["message"], permission_none_payload
permission_unset_res = rest_client.post("/datasets", json={"name": "permission_unset"})
assert permission_unset_res.status_code == 200
permission_unset_payload = permission_unset_res.json()
assert permission_unset_payload["code"] == 0, permission_unset_payload
assert permission_unset_payload["data"]["permission"] == "me", permission_unset_payload
chunk_method_invalid_cases = [
("chunk_empty", ""),
("chunk_unknown", "unknown"),
("chunk_type_error", []),
]
expected_chunk_message = (
"Input should be 'naive', 'book', 'email', 'laws', 'manual', 'one', 'paper', "
"'picture', 'presentation', 'qa', 'table', 'tag' or 'resume'"
)
for name, chunk_method in chunk_method_invalid_cases:
res = rest_client.post("/datasets", json={"name": name, "chunk_method": chunk_method})
assert res.status_code == 200
payload = res.json()
assert payload["code"] == 101, payload
assert expected_chunk_message in payload["message"], payload
chunk_method_none_res = rest_client.post("/datasets", json={"name": "chunk_method_none", "chunk_method": None})
assert chunk_method_none_res.status_code == 200
chunk_method_none_payload = chunk_method_none_res.json()
assert chunk_method_none_payload["code"] == 101, chunk_method_none_payload
assert expected_chunk_message in chunk_method_none_payload["message"], chunk_method_none_payload
chunk_method_unset_res = rest_client.post("/datasets", json={"name": "chunk_method_unset"})
assert chunk_method_unset_res.status_code == 200
chunk_method_unset_payload = chunk_method_unset_res.json()
assert chunk_method_unset_payload["code"] == 0, chunk_method_unset_payload
assert chunk_method_unset_payload["data"]["chunk_method"] == "naive", chunk_method_unset_payload
@pytest.mark.p2
def test_dataset_create_parser_config_invalid_contract(rest_client, clear_datasets):
invalid_cases = [
("auto_keywords_min_limit", {"auto_keywords": -1}, "Input should be greater than or equal to 0"),
("auto_keywords_max_limit", {"auto_keywords": 33}, "Input should be less than or equal to 32"),
("auto_keywords_float_not_allowed", {"auto_keywords": 3.14}, "Input should be a valid integer"),
("auto_keywords_type_invalid", {"auto_keywords": "string"}, "Input should be a valid integer"),
("auto_questions_min_limit", {"auto_questions": -1}, "Input should be greater than or equal to 0"),
("auto_questions_max_limit", {"auto_questions": 11}, "Input should be less than or equal to 10"),
("auto_questions_float_not_allowed", {"auto_questions": 3.14}, "Input should be a valid integer"),
("auto_questions_type_invalid", {"auto_questions": "string"}, "Input should be a valid integer"),
("chunk_token_num_min_limit", {"chunk_token_num": 0}, "Input should be greater than or equal to 1"),
("chunk_token_num_max_limit", {"chunk_token_num": 2049}, "Input should be less than or equal to 2048"),
("chunk_token_num_float_not_allowed", {"chunk_token_num": 3.14}, "Input should be a valid integer"),
("chunk_token_num_type_invalid", {"chunk_token_num": "string"}, "Input should be a valid integer"),
("delimiter_empty", {"delimiter": ""}, "String should have at least 1 character"),
("html4excel_type_invalid", {"html4excel": "string"}, "Input should be a valid boolean"),
("tag_kb_ids_not_list", {"tag_kb_ids": "1,2"}, "Input should be a valid list"),
("tag_kb_ids_int_in_list", {"tag_kb_ids": [1, 2]}, "Input should be a valid string"),
("topn_tags_min_limit", {"topn_tags": 0}, "Input should be greater than or equal to 1"),
("topn_tags_max_limit", {"topn_tags": 11}, "Input should be less than or equal to 10"),
("topn_tags_float_not_allowed", {"topn_tags": 3.14}, "Input should be a valid integer"),
("topn_tags_type_invalid", {"topn_tags": "string"}, "Input should be a valid integer"),
("filename_embd_weight_min_limit", {"filename_embd_weight": -1}, "Input should be greater than or equal to 0"),
("filename_embd_weight_max_limit", {"filename_embd_weight": 1.1}, "Input should be less than or equal to 1"),
("filename_embd_weight_type_invalid", {"filename_embd_weight": "string"}, "Input should be a valid number"),
("task_page_size_min_limit", {"task_page_size": 0}, "Input should be greater than or equal to 1"),
("task_page_size_float_not_allowed", {"task_page_size": 3.14}, "Input should be a valid integer"),
("task_page_size_type_invalid", {"task_page_size": "string"}, "Input should be a valid integer"),
("pages_not_list", {"pages": "1,2"}, "Input should be a valid list"),
("pages_not_list_in_list", {"pages": ["1,2"]}, "Input should be a valid list"),
("pages_not_int_list", {"pages": [["string1", "string2"]]}, "Input should be a valid integer"),
("graphrag_type_invalid", {"graphrag": {"use_graphrag": "string"}}, "Input should be a valid boolean"),
("graphrag_entity_types_not_list", {"graphrag": {"entity_types": "1,2"}}, "Input should be a valid list"),
("graphrag_entity_types_not_str_in_list", {"graphrag": {"entity_types": [1, 2]}}, "nput should be a valid string"),
("graphrag_method_unknown", {"graphrag": {"method": "unknown"}}, "Input should be 'light', 'general' or 'ner'"),
("graphrag_method_none", {"graphrag": {"method": None}}, "Input should be 'light', 'general' or 'ner'"),
("graphrag_community_type_invalid", {"graphrag": {"community": "string"}}, "Input should be a valid boolean"),
("graphrag_resolution_type_invalid", {"graphrag": {"resolution": "string"}}, "Input should be a valid boolean"),
("raptor_type_invalid", {"raptor": {"use_raptor": "string"}}, "Input should be a valid boolean"),
("raptor_prompt_empty", {"raptor": {"prompt": ""}}, "String should have at least 1 character"),
("raptor_prompt_space", {"raptor": {"prompt": " "}}, "String should have at least 1 character"),
("raptor_max_token_min_limit", {"raptor": {"max_token": 0}}, "Input should be greater than or equal to 1"),
("raptor_max_token_max_limit", {"raptor": {"max_token": 2049}}, "Input should be less than or equal to 2048"),
("raptor_max_token_float_not_allowed", {"raptor": {"max_token": 3.14}}, "Input should be a valid integer"),
("raptor_max_token_type_invalid", {"raptor": {"max_token": "string"}}, "Input should be a valid integer"),
("raptor_threshold_min_limit", {"raptor": {"threshold": -0.1}}, "Input should be greater than or equal to 0"),
("raptor_threshold_max_limit", {"raptor": {"threshold": 1.1}}, "Input should be less than or equal to 1"),
("raptor_threshold_type_invalid", {"raptor": {"threshold": "string"}}, "Input should be a valid number"),
("raptor_max_cluster_min_limit", {"raptor": {"max_cluster": 0}}, "Input should be greater than or equal to 1"),
("raptor_max_cluster_max_limit", {"raptor": {"max_cluster": 1025}}, "Input should be less than or equal to 1024"),
("raptor_max_cluster_float_not_allowed", {"raptor": {"max_cluster": 3.14}}, "Input should be a valid integer"),
("raptor_max_cluster_type_invalid", {"raptor": {"max_cluster": "string"}}, "Input should be a valid integer"),
("raptor_random_seed_min_limit", {"raptor": {"random_seed": -1}}, "Input should be greater than or equal to 0"),
("raptor_random_seed_float_not_allowed", {"raptor": {"random_seed": 3.14}}, "Input should be a valid integer"),
("raptor_random_seed_type_invalid", {"raptor": {"random_seed": "string"}}, "Input should be a valid integer"),
("parser_config_type_invalid", {"delimiter": "a" * 65536}, "Parser config exceeds size limit (max 65,535 characters)"),
("parent_child_type_invalid", {"parent_child": {"use_parent_child": "string"}}, "Input should be a valid boolean"),
("parent_child_delimiter_empty", {"parent_child": {"children_delimiter": ""}}, "String should have at least 1 character"),
]
for name, parser_config, expected_message in invalid_cases:
res = rest_client.post("/datasets", json={"name": name, "parser_config": parser_config})
assert res.status_code == 200
payload = res.json()
assert payload["code"] == 101, payload
assert expected_message in payload["message"], payload
@pytest.mark.p2
def test_dataset_create_parser_config_defaults_and_extra_fields_contract(rest_client, clear_datasets):
empty_res = rest_client.post("/datasets", json={"name": "parser_config_empty", "parser_config": {}})
assert empty_res.status_code == 200
empty_payload = empty_res.json()
assert empty_payload["code"] == 0, empty_payload
unset_res = rest_client.post("/datasets", json={"name": "parser_config_unset"})
assert unset_res.status_code == 200
unset_payload = unset_res.json()
assert unset_payload["code"] == 0, unset_payload
none_res = rest_client.post("/datasets", json={"name": "parser_config_none", "parser_config": None})
assert none_res.status_code == 200
none_payload = none_res.json()
assert none_payload["code"] == 0, none_payload
empty_parser_config = empty_payload["data"]["parser_config"]
unset_parser_config = unset_payload["data"]["parser_config"]
none_parser_config = none_payload["data"]["parser_config"]
assert empty_parser_config == unset_parser_config == none_parser_config
for key in DEFAULT_PARSER_CONFIG:
assert key in empty_parser_config, empty_payload
unsupported_field_payloads = [
{"name": "id", "id": "id"},
{"name": "tenant_id", "tenant_id": "e57c1966f99211efb41e9e45646e0111"},
{"name": "created_by", "created_by": "created_by"},
{"name": "create_date", "create_date": "Tue, 11 Mar 2025 13:37:23 GMT"},
{"name": "create_time", "create_time": 1741671443322},
{"name": "update_date", "update_date": "Tue, 11 Mar 2025 13:37:23 GMT"},
{"name": "update_time", "update_time": 1741671443339},
{"name": "document_count", "document_count": 1},
{"name": "chunk_count", "chunk_count": 1},
{"name": "token_num", "token_num": 1},
{"name": "status", "status": "1"},
{"name": "pagerank", "pagerank": 50},
{"name": "unknown_field", "unknown_field": "unknown_field"},
]
for payload_data in unsupported_field_payloads:
res = rest_client.post("/datasets", json=payload_data)
assert res.status_code == 200
payload = res.json()
assert payload["code"] == 101, payload
assert "Extra inputs are not permitted" in payload["message"], payload
@pytest.mark.p2
def test_dataset_list_ordering_and_pagination(rest_client, clear_datasets):
for i in range(3):