mirror of
https://github.com/BerriAI/litellm.git
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* ci: run the unit_selection.sh shard files on every event instead of only fork pull requests Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * ci: rename fork-flag to unit-flag now that it applies on every event * test: move tests/test_litellm root and small trees into tests/unit Pure renames, no content changes. Follow-up commits in this PR fix references, merge the three files that already existed in tests/unit, keep live-provider tests in tests/test_litellm and wire CI. * test: carry tests/test_litellm conftest isolation into tests/unit Callback lists, routing fallbacks, cached HTTP clients, logger state, AWS, proxy-URL and keychain env, and session-end client cleanup now reset for unit tests too. The environment isolation owns its MonkeyPatch so a test's own monkeypatch is undone before the model-cost teardown runs. * test: merge, split and prune the moved root and small-tree tests Merge batches/test_batch_utils.py and the chat_completions and messages dispatch tests into the files that already existed in tests/unit. Keep the live Gemini interactions tests, the async image-fetch format test and the OpenAI embedding scorer test in tests/test_litellm since they need real network or keys. Put test_router.py under tests/unit/test_router so the existing package no longer shadows it. Delete eight tests the audit found superseded by stronger ones kept in this move. * ci: run the moved root and small-tree tests under their legacy flags Add the misc and responses-caching-types flags to unit_selection.sh and CircleCI, extend enterprise-routing and mcp-integration, and point the legacy GHA shards, Makefile, redis-compat workflow, merge smoke manifest and change classifier at the new paths. * test: make the new tests/unit directories packages tests/unit/test_package_layout.py requires every directory to carry an __init__.py, and without one the moved and retained test_litellm_responses_bridge.py modules collide on import. * test: scope the unit socket block to tests/unit in shared sessions The GHA shards collect the legacy test-path and the unit selection in one pytest session. The unit conftest's loopback-only block leaked into legacy modules that reach the network at import. The legacy conftest now lifts the restriction at collect and setup time, and the unit conftest re-applies it when collecting its own modules. * test: move tests/test_litellm/llms into tests/unit/llms Rename-only. Moves the provider tests and the fine-tuning fixtures they load, mirroring the old paths. Follow-up commits merge, split and wire them. * test: merge, split and prune the moved llms tests Merges the Databricks chat transformation tests into the existing unit file, keeps the tests that need real keys or the network in tests/test_litellm, deletes the audited tests a stronger unit test already covers, and points imports at tests.unit.llms. * ci: run the moved llms tests under their legacy flags The Vertex AI and All Other Providers shards keep their legacy test-path for the retained files and add the llm-vertex-ai and llm-other-providers unit selections. CircleCI gets matching unit jobs. * test: make the tests/unit/llms directories packages Adds __init__.py to the moved dirs and drops the legacy ones whose directories no longer hold tests. * test: drop script runners and path hacks the llms split left dangling The __main__ runners in the split openai_like files and the Databricks e2e runner called tests that now live in the other half of the split or were deleted. The retained legacy halves also no longer need sys.path edits. * test: give the shard-script tests their own GITHUB_OUTPUT They only passed where the runner set it. The CircleCI unit job's env allowlist drops it, so the script's redirect failed there. * test: point the router and module-deletion checks at tests/unit router_code_coverage and code_qa_check_tests only searched tests/test_litellm, so the moved router tests no longer counted. The two silent-experiment tests the audit deleted were the only direct callers of those methods; they are replaced with tests that assert the forwarded shadow request and the recursion guard. * test: keep the Databricks manual e2e runner and fix the SageMaker Nova run path The Databricks e2e file is a manual script whose main() calls the tests that were pruned, so pruning them broke the documented run. It is back to its main version. The SageMaker Nova docstring now points at the file's real location in tests/local_testing. * test: keep the job's UNIT_FLAG out of the shard-script tests --------- Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
823 lines
35 KiB
Python
823 lines
35 KiB
Python
"""
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Tests for TinyFish Search API integration.
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"""
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from unittest.mock import MagicMock, patch
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import httpx
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import pytest
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from litellm.llms.tinyfish.search.transformation import (
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TinyfishSearchConfig,
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_append_domain_filters,
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_default_missing_result_fields,
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)
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MOCK_TINYFISH_RESPONSE = {
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"query": "web automation tools",
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"results": [
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{
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"position": 1,
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"site_name": "tinyfish.ai",
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"title": "TinyFish - AI Web Automation",
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"snippet": "Automate any website with natural language.",
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"url": "https://tinyfish.ai",
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},
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{
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"position": 2,
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"site_name": "github.com",
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"title": "Top Web Automation Tools",
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"snippet": "A curated list of browser automation frameworks.",
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"url": "https://github.com/example/web-automation",
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},
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],
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"total_results": 2,
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"page": 0,
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}
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def _make_mock_response(
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json_data: dict | None = None,
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status_code: int = 200,
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request_url: str | None = None,
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text: str | None = None,
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headers: dict | None = None,
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) -> MagicMock:
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import json as _json
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mock = MagicMock()
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mock.status_code = status_code
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# httpx.Headers normalizes keys to lowercase — mirror production so tests
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# assert what callers actually see.
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mock.headers = httpx.Headers(headers or {})
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if json_data is not None:
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mock.json.return_value = json_data
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mock.text = text if text is not None else _json.dumps(json_data)
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else:
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# Force .json() to raise as httpx.Response does for non-JSON bodies.
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mock.json.side_effect = _json.JSONDecodeError("Expecting value", text or "", 0)
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mock.text = text or ""
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if request_url:
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mock.request = MagicMock()
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mock.request.url = httpx.URL(request_url)
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else:
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mock.request = None
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return mock
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class TestTinyfishSearchConfig:
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def test_ui_friendly_name(self):
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assert TinyfishSearchConfig.ui_friendly_name() == "TinyFish"
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def test_get_http_method(self):
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assert TinyfishSearchConfig().get_http_method() == "GET"
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def test_validate_environment_with_explicit_key(self):
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config = TinyfishSearchConfig()
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headers = config.validate_environment(headers={}, api_key="sk-tinyfish-test")
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assert headers["X-API-Key"] == "sk-tinyfish-test"
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assert headers["Accept"] == "application/json"
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def test_validate_environment_from_env(self, monkeypatch):
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monkeypatch.setenv("TINYFISH_API_KEY", "sk-from-env")
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config = TinyfishSearchConfig()
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headers = config.validate_environment(headers={})
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assert headers["X-API-Key"] == "sk-from-env"
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def test_validate_environment_missing_key(self, monkeypatch):
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monkeypatch.delenv("TINYFISH_API_KEY", raising=False)
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config = TinyfishSearchConfig()
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with pytest.raises(ValueError, match="TINYFISH_API_KEY"):
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config.validate_environment(headers={})
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def test_validate_environment_uses_api_base_kwarg(self):
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config = TinyfishSearchConfig()
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headers = config.validate_environment(
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headers={},
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api_key="sk-test",
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api_base="https://custom.tinyfish.ai",
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)
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assert headers["X-API-Key"] == "sk-test"
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class TestTransformSearchRequest:
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def test_basic_query(self):
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config = TinyfishSearchConfig()
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result = config.transform_search_request(
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query="hello world", optional_params={}
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)
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assert result == {"_tinyfish_params": {"query": "hello world"}}
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def test_list_query_joined(self):
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config = TinyfishSearchConfig()
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result = config.transform_search_request(
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query=["hello", "world"], optional_params={}
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)
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assert result["_tinyfish_params"]["query"] == "hello world"
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def test_country_maps_to_location(self):
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config = TinyfishSearchConfig()
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result = config.transform_search_request(
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query="test", optional_params={"country": "US"}
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)
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assert result["_tinyfish_params"]["location"] == "US"
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def test_max_results_not_sent_on_wire(self):
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# TinyFish doesn't honor max_results server-side; we apply it client-side
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# in transform_search_response. The querystring should be free of it.
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config = TinyfishSearchConfig()
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result = config.transform_search_request(
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query="test", optional_params={"max_results": 5}
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)
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assert "max_results" not in result["_tinyfish_params"]
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def test_max_results_clamped_upper_stored_on_self(self):
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config = TinyfishSearchConfig()
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config.transform_search_request(
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query="test", optional_params={"max_results": 100}
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)
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assert config._caller_max_results == 10 # TinyFish's natural cap
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def test_max_results_clamped_lower_stored_on_self(self):
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config = TinyfishSearchConfig()
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config.transform_search_request(
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query="test", optional_params={"max_results": 0}
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)
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assert config._caller_max_results == 1
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def test_max_results_normal_stored_on_self(self):
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config = TinyfishSearchConfig()
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config.transform_search_request(
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query="test", optional_params={"max_results": 5}
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)
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assert config._caller_max_results == 5
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def test_max_results_non_numeric_string_warns_and_skips(self, caplog):
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# `int("abc")` would raise ValueError; guard makes the failure visible
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# via warning and treats the value as if max_results wasn't set.
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config = TinyfishSearchConfig()
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with caplog.at_level("WARNING"):
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result = config.transform_search_request(
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query="test", optional_params={"max_results": "abc"}
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)
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assert config._caller_max_results is None
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assert "max_results" not in result["_tinyfish_params"]
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messages = [r.getMessage() for r in caplog.records]
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assert any("max_results" in m and "abc" in m for m in messages)
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def test_max_results_infinity_float_warns_and_skips(self, caplog):
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# `int(float('inf'))` raises OverflowError, not ValueError/TypeError.
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# Guard must catch it so a caller passing math.inf gets the same
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# warn-and-ignore behavior as other malformed values.
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config = TinyfishSearchConfig()
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with caplog.at_level("WARNING"):
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result = config.transform_search_request(
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query="test", optional_params={"max_results": float("inf")}
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)
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assert config._caller_max_results is None
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assert "max_results" not in result["_tinyfish_params"]
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messages = [r.getMessage() for r in caplog.records]
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assert any("max_results" in m for m in messages)
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def test_domain_filter_appends_site_operators(self):
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config = TinyfishSearchConfig()
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result = config.transform_search_request(
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query="python tutorials",
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optional_params={"search_domain_filter": ["arxiv.org", "github.com"]},
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)
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query_value = result["_tinyfish_params"]["query"]
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assert "site:arxiv.org" in query_value
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assert "site:github.com" in query_value
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assert "(python tutorials) (site:arxiv.org OR site:github.com)" == query_value
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def test_domain_filter_empty_list_ignored(self):
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config = TinyfishSearchConfig()
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result = config.transform_search_request(
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query="test", optional_params={"search_domain_filter": []}
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)
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assert result["_tinyfish_params"]["query"] == "test"
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def test_domain_filter_non_list_ignored(self):
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config = TinyfishSearchConfig()
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result = config.transform_search_request(
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query="test", optional_params={"search_domain_filter": "not-a-list"}
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)
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assert result["_tinyfish_params"]["query"] == "test"
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def test_unknown_params_passed_through(self):
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config = TinyfishSearchConfig()
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result = config.transform_search_request(
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query="test", optional_params={"language": "en", "page": 2}
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)
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params = result["_tinyfish_params"]
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assert params["language"] == "en"
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assert params["page"] == 2
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def test_perplexity_params_not_passed_through(self):
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config = TinyfishSearchConfig()
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supported = config.get_supported_perplexity_optional_params()
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if supported:
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param = next(p for p in supported if p != "max_results" and p != "country")
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result = config.transform_search_request(
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query="test", optional_params={param: "value"}
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)
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assert param not in result["_tinyfish_params"]
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def test_arbitrary_param_passed_through(self):
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# `fetch` is a TinyFish-specific param (JSON-encoded fetch config).
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# The passthrough loop should forward it verbatim without LiteLLM needing
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# to know about it.
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config = TinyfishSearchConfig()
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result = config.transform_search_request(
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query="test", optional_params={"fetch": "{}"}
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)
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assert result["_tinyfish_params"]["fetch"] == "{}"
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def test_dict_param_auto_json_encoded(self):
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# Callers naturally pass dict-shaped params; we serialize so the
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# downstream urlencode step (which only accepts str|int|bool) doesn't reject.
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config = TinyfishSearchConfig()
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result = config.transform_search_request(
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query="test",
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optional_params={"fetch": {"format": "html"}},
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)
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assert result["_tinyfish_params"]["fetch"] == '{"format":"html"}'
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def test_bool_param_serialized_as_lowercase(self):
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# urlencode renders Python bool as capitalized "True"/"False"; TinyFish
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# Search's bool params require lowercase "true"/"false" strings on the
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# wire. Normalize before passing through.
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config = TinyfishSearchConfig()
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true_result = config.transform_search_request(
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query="test", optional_params={"some_bool_param": True}
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)
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false_result = config.transform_search_request(
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query="test", optional_params={"some_bool_param": False}
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)
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assert true_result["_tinyfish_params"]["some_bool_param"] == "true"
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assert false_result["_tinyfish_params"]["some_bool_param"] == "false"
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def test_float_param_passes_through(self):
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# Float values pass the urlencode adapter and land on the wire as
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# their decimal string form. If TinyFish's server rejects a float
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# for a param it expects as int, the server's 400 response is
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# attributed via _wrap_error (`TinyFish Search: ...`) — better than
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# a client-side pydantic ValidationError with no context.
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config = TinyfishSearchConfig()
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result = config.transform_search_request(
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query="test",
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optional_params={"some_float_param": 0.5},
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)
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assert result["_tinyfish_params"]["some_float_param"] == 0.5
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def test_list_param_auto_json_encoded(self):
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# TinyFish Search's JSON-array params arrive on the wire as JSON-
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# encoded strings. Accept the natural Python list form and serialize
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# so the caller doesn't have to pre-stringify. Params whose wire
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# format is a plain comma-separated string are the caller's
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# responsibility to pass as a Python str.
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config = TinyfishSearchConfig()
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result = config.transform_search_request(
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query="test",
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optional_params={"some_list_param": ["a.example", "b.example"]},
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)
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assert result["_tinyfish_params"]["some_list_param"] == '["a.example","b.example"]'
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def test_pre_stringified_param_passed_unchanged(self):
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# If the caller already JSON-encoded, don't re-encode.
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config = TinyfishSearchConfig()
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already = '{"format":"html"}'
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result = config.transform_search_request(
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query="test", optional_params={"fetch": already}
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)
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assert result["_tinyfish_params"]["fetch"] == already
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|
|
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class TestGetCompleteUrl:
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def test_default_api_base(self):
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config = TinyfishSearchConfig()
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with patch(
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"litellm.llms.tinyfish.search.transformation.get_secret_str",
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return_value=None,
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):
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url = config.get_complete_url(api_base=None, optional_params={})
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assert url == "https://api.search.tinyfish.ai"
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def test_custom_api_base(self):
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config = TinyfishSearchConfig()
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url = config.get_complete_url(
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api_base="https://custom.api.tinyfish.ai", optional_params={}
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)
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assert url == "https://custom.api.tinyfish.ai"
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def test_env_api_base(self):
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config = TinyfishSearchConfig()
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with patch(
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"litellm.llms.tinyfish.search.transformation.get_secret_str",
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return_value="https://env.tinyfish.ai",
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):
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url = config.get_complete_url(api_base=None, optional_params={})
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assert url == "https://env.tinyfish.ai"
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def test_with_tinyfish_params(self):
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config = TinyfishSearchConfig()
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with patch(
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"litellm.llms.tinyfish.search.transformation.get_secret_str",
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return_value=None,
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):
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url = config.get_complete_url(
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api_base=None,
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optional_params={},
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data={"_tinyfish_params": {"query": "hello", "max_results": 5}},
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)
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assert "query=hello" in url
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assert "max_results=5" in url
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assert url.startswith("https://api.search.tinyfish.ai?")
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def test_without_tinyfish_params_key(self):
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config = TinyfishSearchConfig()
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with patch(
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"litellm.llms.tinyfish.search.transformation.get_secret_str",
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return_value=None,
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):
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url = config.get_complete_url(
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api_base=None, optional_params={}, data={"other": "value"}
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)
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assert url == "https://api.search.tinyfish.ai"
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def test_data_none(self):
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config = TinyfishSearchConfig()
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with patch(
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"litellm.llms.tinyfish.search.transformation.get_secret_str",
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return_value=None,
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|
):
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url = config.get_complete_url(api_base=None, optional_params={}, data=None)
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assert url == "https://api.search.tinyfish.ai"
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|
|
|
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class TestTransformSearchResponse:
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|
def test_basic_response(self):
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config = TinyfishSearchConfig()
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mock_response = _make_mock_response(MOCK_TINYFISH_RESPONSE)
|
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result = config.transform_search_response(
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raw_response=mock_response, logging_obj=None
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)
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assert result.object == "search"
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assert len(result.results) == 2
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assert result.results[0].title == "TinyFish - AI Web Automation"
|
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assert result.results[0].url == "https://tinyfish.ai"
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|
assert (
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result.results[0].snippet == "Automate any website with natural language."
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)
|
|
|
|
def test_empty_results(self):
|
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config = TinyfishSearchConfig()
|
|
mock_response = _make_mock_response({"results": []})
|
|
result = config.transform_search_response(
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raw_response=mock_response, logging_obj=None
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)
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assert result.object == "search"
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assert len(result.results) == 0
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|
|
|
def test_max_results_truncates_from_self_state(self):
|
|
config = TinyfishSearchConfig()
|
|
# Simulate transform_search_request having set the threaded value.
|
|
config._caller_max_results = 3
|
|
many_results = {
|
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"results": [
|
|
{
|
|
"title": f"Result {i}",
|
|
"url": f"https://example.com/{i}",
|
|
"snippet": f"Snippet {i}",
|
|
}
|
|
for i in range(10)
|
|
]
|
|
}
|
|
mock_response = _make_mock_response(many_results)
|
|
result = config.transform_search_response(
|
|
raw_response=mock_response, logging_obj=None
|
|
)
|
|
assert len(result.results) == 3
|
|
assert result.results[0].title == "Result 0"
|
|
assert result.results[2].title == "Result 2"
|
|
|
|
def test_max_results_default_is_tinyfish_cap(self):
|
|
# No caller value → fall back to TinyFish's natural ceiling (10).
|
|
config = TinyfishSearchConfig()
|
|
many_results = {
|
|
"results": [
|
|
{
|
|
"title": f"Result {i}",
|
|
"url": f"https://example.com/{i}",
|
|
"snippet": f"Snippet {i}",
|
|
}
|
|
for i in range(15)
|
|
]
|
|
}
|
|
mock_response = _make_mock_response(many_results)
|
|
result = config.transform_search_response(
|
|
raw_response=mock_response, logging_obj=None
|
|
)
|
|
assert len(result.results) == 10
|
|
|
|
def test_missing_required_fields_default_to_empty_string(self):
|
|
# title/url/snippet are required by LiteLLM's SearchResult schema.
|
|
# We default missing/null values to "" so a degraded TinyFish result
|
|
# flows through instead of failing the whole call.
|
|
config = TinyfishSearchConfig()
|
|
mock_response = _make_mock_response(
|
|
{"results": [{}, {"title": None, "url": None, "snippet": None}]}
|
|
)
|
|
result = config.transform_search_response(
|
|
raw_response=mock_response, logging_obj=None
|
|
)
|
|
assert len(result.results) == 2
|
|
for r in result.results:
|
|
assert r.title == ""
|
|
assert r.url == ""
|
|
assert r.snippet == ""
|
|
|
|
def test_extra_per_result_fields_surface_as_attributes(self):
|
|
config = TinyfishSearchConfig()
|
|
mock_response = _make_mock_response(MOCK_TINYFISH_RESPONSE)
|
|
result = config.transform_search_response(
|
|
raw_response=mock_response, logging_obj=None
|
|
)
|
|
first = result.results[0]
|
|
assert getattr(first, "position", None) == 1
|
|
assert getattr(first, "site_name", None) == "tinyfish.ai"
|
|
|
|
def test_top_level_extras_flow_through(self):
|
|
# TinyFish returns `query`, `total_results`, `page` at the envelope
|
|
# level. These must ride through to the caller via SearchResponse's
|
|
# extra="allow" so pagination logic, echo checks, etc. work.
|
|
config = TinyfishSearchConfig()
|
|
mock_response = _make_mock_response(MOCK_TINYFISH_RESPONSE)
|
|
result = config.transform_search_response(
|
|
raw_response=mock_response, logging_obj=None
|
|
)
|
|
assert getattr(result, "query", None) == "web automation tools"
|
|
assert getattr(result, "total_results", None) == 2
|
|
assert getattr(result, "page", None) == 0
|
|
|
|
def test_top_level_future_extras_flow_through(self):
|
|
# Any future TinyFish top-level field must ride through unchanged
|
|
# (design contract: no LiteLLM code change needed for new fields).
|
|
config = TinyfishSearchConfig()
|
|
body = {
|
|
"results": [
|
|
{"title": "x", "url": "https://x", "snippet": "x"},
|
|
],
|
|
"query": "test",
|
|
"example_int_extra": 123, # hypothetical future field
|
|
"example_str_extra": "value", # hypothetical future field
|
|
"example_id_extra": "abc-def", # hypothetical future field
|
|
}
|
|
result = config.transform_search_response(
|
|
raw_response=_make_mock_response(body), logging_obj=None
|
|
)
|
|
assert getattr(result, "example_int_extra", None) == 123
|
|
assert getattr(result, "example_str_extra", None) == "value"
|
|
assert getattr(result, "example_id_extra", None) == "abc-def"
|
|
|
|
def test_response_headers_stashed_on_hidden_params(self):
|
|
# TinyFish Search sets X-Request-ID on every success response. Confirm it
|
|
# lands on both `_hidden_params["headers"]` (raw) and
|
|
# `_hidden_params["additional_headers"]` (sanitized/prefixed).
|
|
# httpx.Headers lowercases every key, so assertions use lowercase.
|
|
config = TinyfishSearchConfig()
|
|
mock_response = _make_mock_response(
|
|
MOCK_TINYFISH_RESPONSE,
|
|
headers={"X-Request-ID": "req-abc-123", "Content-Type": "application/json"},
|
|
)
|
|
result = config.transform_search_response(
|
|
raw_response=mock_response, logging_obj=None
|
|
)
|
|
# Raw copy — httpx has normalized keys to lowercase.
|
|
assert result._hidden_params["headers"]["x-request-id"] == "req-abc-123"
|
|
# process_response_headers prefixes non-OpenAI-standard keys with "llm_provider-".
|
|
assert result._hidden_params["additional_headers"]["llm_provider-x-request-id"] == "req-abc-123"
|
|
|
|
def test_response_headers_future_headers_flow_through(self):
|
|
# "Accept extra": any header TinyFish Search adds later must ride
|
|
# through without a LiteLLM code change.
|
|
config = TinyfishSearchConfig()
|
|
mock_response = _make_mock_response(
|
|
MOCK_TINYFISH_RESPONSE,
|
|
headers={
|
|
"X-Request-ID": "req-1",
|
|
"X-Example-Header-A": "value-a", # hypothetical future header
|
|
"X-Example-Header-B": "value-b", # hypothetical future header
|
|
},
|
|
)
|
|
result = config.transform_search_response(
|
|
raw_response=mock_response, logging_obj=None
|
|
)
|
|
raw = result._hidden_params["headers"]
|
|
# httpx lowercases header names on read.
|
|
assert raw["x-example-header-a"] == "value-a"
|
|
assert raw["x-example-header-b"] == "value-b"
|
|
|
|
def test_response_headers_strips_x_litellm_spoof(self):
|
|
# A provider setting `x-litellm-*` in its response must not be able to
|
|
# spoof LiteLLM-internal markers via _hidden_params["additional_headers"].
|
|
# The raw copy preserves the header (opt-in debug view); the sanitized
|
|
# copy prefixes it with `llm_provider-` so bare `x-litellm-*` markers
|
|
# can't be spoofed (values still survive under the prefixed key for
|
|
# observability).
|
|
config = TinyfishSearchConfig()
|
|
mock_response = _make_mock_response(
|
|
MOCK_TINYFISH_RESPONSE,
|
|
headers={"x-litellm-attempted-fallbacks": "spoofed", "X-Request-ID": "r1"},
|
|
)
|
|
result = config.transform_search_response(
|
|
raw_response=mock_response, logging_obj=None
|
|
)
|
|
# Raw view still has the spoof.
|
|
assert result._hidden_params["headers"]["x-litellm-attempted-fallbacks"] == "spoofed"
|
|
# Sanitized view: the spoof survives only under the llm_provider- prefix
|
|
# (never under the bare x-litellm-* key that LiteLLM downstream trusts).
|
|
additional = result._hidden_params["additional_headers"]
|
|
assert "x-litellm-attempted-fallbacks" not in additional
|
|
assert additional.get("llm_provider-x-litellm-attempted-fallbacks") == "spoofed"
|
|
|
|
def test_fetch_field_rides_through_to_search_result(self):
|
|
# Mirrors TinyFish Search's per-result `fetch` nested object.
|
|
# Confirms `fetch=...` requests surface their content to LiteLLM
|
|
# callers without provider changes.
|
|
config = TinyfishSearchConfig()
|
|
fetched = {
|
|
"results": [
|
|
{
|
|
"title": "TinyFish",
|
|
"url": "https://tinyfish.ai",
|
|
"snippet": "Web automation.",
|
|
"fetch": {
|
|
"url": "https://tinyfish.ai",
|
|
"title": "TinyFish",
|
|
"text": "Body text",
|
|
"cached": False,
|
|
},
|
|
}
|
|
]
|
|
}
|
|
mock_response = _make_mock_response(fetched)
|
|
result = config.transform_search_response(
|
|
raw_response=mock_response, logging_obj=None
|
|
)
|
|
first = result.results[0]
|
|
fetch_field = getattr(first, "fetch", None)
|
|
assert isinstance(fetch_field, dict)
|
|
assert fetch_field["text"] == "Body text"
|
|
|
|
def test_no_request_uses_default_max_results(self):
|
|
config = TinyfishSearchConfig()
|
|
mock_response = _make_mock_response(MOCK_TINYFISH_RESPONSE)
|
|
result = config.transform_search_response(
|
|
raw_response=mock_response, logging_obj=None
|
|
)
|
|
assert len(result.results) == 2
|
|
|
|
def test_parameter_warnings_reader_emits_log_lines(self, caplog):
|
|
# When TinyFish responds with a top-level `parameter_warnings` array
|
|
# (post-rollout of that contract), each entry is re-fired as a
|
|
# verbose_logger.warning so callers see what was ignored.
|
|
config = TinyfishSearchConfig()
|
|
body = {
|
|
"results": [
|
|
{"title": "x", "url": "https://x", "snippet": "x"},
|
|
],
|
|
"parameter_warnings": [
|
|
{
|
|
"type": "unsupported",
|
|
"parameter": "max_tokens_per_page",
|
|
"message": "Parameter not supported by TinyFish Search.",
|
|
"docs_url": "https://docs.tinyfish.ai/search-api",
|
|
},
|
|
],
|
|
}
|
|
mock_response = _make_mock_response(body)
|
|
with caplog.at_level("WARNING"):
|
|
config.transform_search_response(
|
|
raw_response=mock_response, logging_obj=None
|
|
)
|
|
messages = [r.getMessage() for r in caplog.records]
|
|
assert any("max_tokens_per_page" in m for m in messages)
|
|
# The type is included in the message so agents can branch on it.
|
|
assert any("unsupported" in m for m in messages)
|
|
|
|
def test_parameter_warnings_absent_no_log(self, caplog):
|
|
# Absence of the field is silent — most responses won't carry it.
|
|
config = TinyfishSearchConfig()
|
|
mock_response = _make_mock_response(MOCK_TINYFISH_RESPONSE)
|
|
with caplog.at_level("WARNING"):
|
|
config.transform_search_response(
|
|
raw_response=mock_response, logging_obj=None
|
|
)
|
|
assert not any(
|
|
"TinyFish Search ignored" in r.getMessage() for r in caplog.records
|
|
)
|
|
|
|
def test_parameter_warnings_malformed_shapes_never_throw(self):
|
|
# Every shape that doesn't match {parameter: str, message: str} should
|
|
# silently no-op. None of these should raise an exception.
|
|
config = TinyfishSearchConfig()
|
|
|
|
good_results = [{"title": "x", "url": "https://x", "snippet": "x"}]
|
|
|
|
malformed_field_values = [
|
|
"not a list", # string
|
|
42, # int
|
|
{"parameter": "x", "message": "y"}, # dict instead of list
|
|
True, # bool
|
|
]
|
|
for bad_value in malformed_field_values:
|
|
body = {"results": good_results, "parameter_warnings": bad_value}
|
|
config.transform_search_response(
|
|
raw_response=_make_mock_response(body), logging_obj=None
|
|
) # must not raise
|
|
|
|
malformed_entries = [
|
|
"string in list", # non-dict
|
|
42, # int
|
|
{}, # missing all
|
|
{"type": "unsupported", "parameter": "x"}, # missing message
|
|
{"type": "unsupported", "message": "y"}, # missing parameter
|
|
{"parameter": "x", "message": "y"}, # missing type
|
|
{
|
|
"type": "unsupported",
|
|
"parameter": None,
|
|
"message": "y",
|
|
}, # null parameter
|
|
{"type": "unsupported", "parameter": "x", "message": ""}, # empty message
|
|
{
|
|
"type": "unsupported",
|
|
"parameter": 42,
|
|
"message": "y",
|
|
}, # non-string parameter
|
|
{"type": 1, "parameter": "x", "message": "y"}, # non-string type
|
|
]
|
|
body = {"results": good_results, "parameter_warnings": malformed_entries}
|
|
config.transform_search_response(
|
|
raw_response=_make_mock_response(body), logging_obj=None
|
|
) # must not raise
|
|
|
|
def test_parameter_warnings_malformed_entries_emit_nothing(self, caplog):
|
|
config = TinyfishSearchConfig()
|
|
body = {
|
|
"results": [{"title": "x", "url": "https://x", "snippet": "x"}],
|
|
"parameter_warnings": [
|
|
{"type": "unsupported", "parameter": "x"}, # missing message — skipped
|
|
{
|
|
"type": "unsupported",
|
|
"parameter": "valid_one",
|
|
"message": "actual msg",
|
|
}, # ok — emitted
|
|
{"parameter": "x", "message": "y"}, # missing type — skipped
|
|
],
|
|
}
|
|
with caplog.at_level("WARNING"):
|
|
config.transform_search_response(
|
|
raw_response=_make_mock_response(body), logging_obj=None
|
|
)
|
|
messages = [r.getMessage() for r in caplog.records]
|
|
assert sum("parameter_warning" in m for m in messages) == 1
|
|
assert any("valid_one" in m for m in messages)
|
|
|
|
|
|
class TestErrorHandling:
|
|
def test_4xx_response_raises_with_attribution_and_unwrapped_message(self):
|
|
# Reproduces TinyFish Search's error envelope shape for an INVALID_INPUT response.
|
|
config = TinyfishSearchConfig()
|
|
body = {
|
|
"error": {
|
|
"code": "INVALID_INPUT",
|
|
"message": "query is required",
|
|
"details": [{"field": "query"}],
|
|
}
|
|
}
|
|
mock_response = _make_mock_response(body, status_code=400)
|
|
with pytest.raises(Exception, match='TinyFish Search: query is required\\. See https') as exc_info:
|
|
config.transform_search_response(
|
|
raw_response=mock_response, logging_obj=None
|
|
)
|
|
msg = str(exc_info.value)
|
|
assert "TinyFish Search:" in msg
|
|
assert "query is required" in msg
|
|
assert "docs.tinyfish.ai/search-api" in msg
|
|
assert getattr(exc_info.value, "status_code", None) == 400
|
|
|
|
def test_429_preserves_status_code_and_headers(self):
|
|
config = TinyfishSearchConfig()
|
|
body = {"error": {"code": "RATE_LIMIT_EXCEEDED", "message": "rate limit exceeded"}}
|
|
mock_response = _make_mock_response(
|
|
body, status_code=429, headers={"Retry-After": "60"}
|
|
)
|
|
with pytest.raises(Exception, match='TinyFish Search: rate limit exceeded\\. See https') as exc_info:
|
|
config.transform_search_response(
|
|
raw_response=mock_response, logging_obj=None
|
|
)
|
|
assert getattr(exc_info.value, "status_code", None) == 429
|
|
headers = getattr(exc_info.value, "headers", {}) or {}
|
|
# httpx lowercases; the exception carries the same dict shape.
|
|
assert headers.get("retry-after") == "60"
|
|
|
|
def test_5xx_with_non_tinyfish_envelope_shape_falls_back_to_raw_text(self):
|
|
# A JSON body that doesn't match TinyFish Search's error envelope shape:
|
|
# unwrap fails, fall back to the raw body text.
|
|
config = TinyfishSearchConfig()
|
|
body = {"errors": [{"code": "10000", "message": "Internal"}]}
|
|
mock_response = _make_mock_response(body, status_code=502)
|
|
with pytest.raises(Exception, match='TinyFish Search') as exc_info:
|
|
config.transform_search_response(
|
|
raw_response=mock_response, logging_obj=None
|
|
)
|
|
msg = str(exc_info.value)
|
|
assert "TinyFish Search:" in msg
|
|
# The raw JSON body string should appear in the message verbatim.
|
|
assert "10000" in msg
|
|
|
|
def test_non_json_4xx_body_uses_raw_text(self):
|
|
config = TinyfishSearchConfig()
|
|
mock_response = _make_mock_response(
|
|
json_data=None, status_code=502, text="<html>Bad Gateway</html>"
|
|
)
|
|
with pytest.raises(Exception, match='TinyFish Search: <html>Bad Gateway<') as exc_info:
|
|
config.transform_search_response(
|
|
raw_response=mock_response, logging_obj=None
|
|
)
|
|
msg = str(exc_info.value)
|
|
assert "TinyFish Search:" in msg
|
|
assert "Bad Gateway" in msg
|
|
|
|
def test_non_json_200_body_routes_through_get_error_class(self):
|
|
# 200 but the body isn't JSON (degraded backend, CDN-injected page, etc.)
|
|
config = TinyfishSearchConfig()
|
|
mock_response = _make_mock_response(
|
|
json_data=None, status_code=200, text="not json"
|
|
)
|
|
with pytest.raises(Exception, match='TinyFish Search: Expected JSON response, got: not json\\.') as exc_info:
|
|
config.transform_search_response(
|
|
raw_response=mock_response, logging_obj=None
|
|
)
|
|
msg = str(exc_info.value)
|
|
assert "TinyFish Search:" in msg
|
|
assert "Expected JSON response" in msg
|
|
|
|
def test_wrap_error_returns_attributed_baselm_exception_directly(self):
|
|
# Direct unit test of the private _wrap_error helper used by
|
|
# transform_search_response. Network failures don't go through this;
|
|
# they hit BaseSearchConfig.get_error_class via LiteLLM core.
|
|
config = TinyfishSearchConfig()
|
|
body = '{"error": {"code": "UNAUTHORIZED", "message": "bad key"}}'
|
|
exc = config._wrap_error(
|
|
error_message=body, status_code=401, headers={"x": "y"}
|
|
)
|
|
msg = str(exc)
|
|
assert "TinyFish Search:" in msg
|
|
assert "bad key" in msg
|
|
assert exc.status_code == 401
|
|
|
|
def test_schema_mismatch_wraps_with_attribution(self):
|
|
# When TinyFish returns a 200 with a body shape that doesn't match
|
|
# LiteLLM's SearchResponse contract (e.g. missing top-level `results`),
|
|
# raise with TinyFish attribution + docs link so the caller knows to
|
|
# check TinyFish's schema, not their own input.
|
|
config = TinyfishSearchConfig()
|
|
mock_response = _make_mock_response({"query": "x"}) # no `results` key
|
|
with pytest.raises(Exception, match='validation error for SearchResponse') as exc_info:
|
|
config.transform_search_response(
|
|
raw_response=mock_response, logging_obj=None
|
|
)
|
|
msg = str(exc_info.value)
|
|
assert "TinyFish Search:" in msg
|
|
assert "schema" in msg.lower()
|
|
assert "docs.tinyfish.ai/search-api" in msg
|
|
|
|
|
|
class TestAppendDomainFilters:
|
|
def test_single_domain(self):
|
|
result = _append_domain_filters("test", ["example.com"])
|
|
assert result == "(test) (site:example.com)"
|
|
|
|
def test_multiple_domains(self):
|
|
result = _append_domain_filters("query", ["a.com", "b.com", "c.com"])
|
|
assert result == "(query) (site:a.com OR site:b.com OR site:c.com)"
|
|
|
|
|
|
class TestDefaultMissingResultFields:
|
|
def test_non_dict_raw_json_is_noop(self):
|
|
# raw_json could be a string/list/None if TinyFish ever returns a
|
|
# non-envelope shape; the helper just returns without mutating.
|
|
for payload in ("not a dict", ["list"], None, 42):
|
|
_default_missing_result_fields(payload) # must not raise
|
|
|
|
def test_non_dict_results_item_skipped(self):
|
|
# If `results` contains a non-dict entry (string, int, etc.), the helper
|
|
# skips it; SearchResponse.model_validate will reject it later.
|
|
raw_json = {"results": ["string item", 42, {"title": "ok"}]}
|
|
_default_missing_result_fields(raw_json)
|
|
# Only the dict item gets defaulted; the others are unchanged.
|
|
assert raw_json["results"][0] == "string item"
|
|
assert raw_json["results"][1] == 42
|
|
assert raw_json["results"][2] == {"title": "ok", "url": "", "snippet": ""}
|