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6a0d03914c
* test: drop the cwd-relative sys.path.insert calls from the test suite
TQ003 stands at 1,077 across 1,058 files, and 1,015 of them are the same shape:
sys.path.insert(0, os.path.abspath("../..")) and its deeper siblings. The
argument resolves against the working directory rather than the file, so from
the repo root, where every job runs pytest, it inserts the directory two levels
above the checkout. It has never pointed at litellm. The package is installed
into the environment anyway, which is what actually makes the import work, and
what the rule's message has said all along.
Removing them leaves 1,634 imports of sys and os with no remaining reference,
and those go too, except where another test module imports the name back out of
the file. The rest of TQ003 is 62 call sites that resolve against __file__ or a
variable, which are a different question and are left alone.
Collection is identical either way: 45,871 tests and the same 51 pre-existing
collection errors before and after, and ruff reports no new undefined name.
* test: drop the duplicate imports the sys.path sweep exposed to F811
* test(pre-call-utils): restore the os import the new bedrock tests need
104 lines
3.7 KiB
Python
104 lines
3.7 KiB
Python
from unittest.mock import MagicMock
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import litellm
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from litellm.caching._embedding_router import (
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build_router_embedding_metadata,
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resolve_embedding_max_input_tokens,
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resolve_embedding_router,
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truncate_embedding_input,
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)
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def test_resolve_returns_router_when_model_is_a_deployment():
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router = MagicMock()
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assert (
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resolve_embedding_router("sem-embed", router, [{"model_name": "sem-embed"}])
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is router
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)
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def test_resolve_returns_none_when_model_not_in_router():
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router = MagicMock()
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assert (
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resolve_embedding_router("sem-embed", router, [{"model_name": "other"}]) is None
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)
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def test_resolve_returns_none_when_router_is_none():
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assert (
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resolve_embedding_router("sem-embed", None, [{"model_name": "sem-embed"}])
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is None
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)
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def test_resolve_returns_none_when_model_list_is_none():
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router = MagicMock()
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assert resolve_embedding_router("sem-embed", router, None) is None
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def test_resolve_skips_entries_missing_model_name():
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router = MagicMock()
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model_list = [
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{"litellm_params": {"model": "bedrock/x"}},
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{"model_name": "sem-embed"},
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]
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assert resolve_embedding_router("sem-embed", router, model_list) is router
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assert resolve_embedding_router("other", router, [{"litellm_params": {}}]) is None
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def test_build_metadata_preserves_request_fields_and_adds_flag():
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md = build_router_embedding_metadata(
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{"user_api_key": "sk-x", "user_api_key_team_id": "team-1", "trace_id": "t-1"}
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)
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assert md == {
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"user_api_key": "sk-x",
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"user_api_key_team_id": "team-1",
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"trace_id": "t-1",
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"semantic-cache-embedding": True,
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}
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def test_build_metadata_handles_none_and_does_not_mutate_input():
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original = {"user_api_key": "sk-x"}
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md = build_router_embedding_metadata(original)
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assert md == {"user_api_key": "sk-x", "semantic-cache-embedding": True}
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assert original == {"user_api_key": "sk-x"}
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assert build_router_embedding_metadata(None) == {"semantic-cache-embedding": True}
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def test_resolve_max_input_tokens_prefers_configured_over_deployment():
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router = MagicMock()
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router.get_configured_token_limits.return_value = (8191, None)
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assert resolve_embedding_max_input_tokens(512, "sem-embed", router) == 512
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router.get_configured_token_limits.assert_not_called()
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def test_resolve_max_input_tokens_falls_back_to_deployment_limit():
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router = MagicMock()
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router.get_configured_token_limits.return_value = (8191, 4096)
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assert resolve_embedding_max_input_tokens(None, "sem-embed", router) == 8191
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router.get_configured_token_limits.assert_called_once_with("sem-embed")
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def test_resolve_max_input_tokens_is_none_without_router_or_deployment_limit():
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router = MagicMock()
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router.get_configured_token_limits.return_value = (None, None)
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assert resolve_embedding_max_input_tokens(None, "sem-embed", router) is None
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assert resolve_embedding_max_input_tokens(None, "sem-embed", None) is None
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def test_truncate_embedding_input_keeps_prompt_within_limit():
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prompt = "The quick brown fox jumps over the lazy dog"
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assert truncate_embedding_input(prompt, "sem-embed", None) == prompt
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assert truncate_embedding_input(prompt, "sem-embed", 100) == prompt
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token_count = len(litellm.encode(model="sem-embed", text=prompt))
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assert truncate_embedding_input(prompt, "sem-embed", token_count) == prompt
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def test_truncate_embedding_input_cuts_prompt_to_token_limit():
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prompt = " ".join(f"word{i}" for i in range(400))
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truncated = truncate_embedding_input(prompt, "sem-embed", 50)
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assert prompt.startswith(truncated)
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assert len(truncated) < len(prompt)
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assert len(litellm.encode(model="sem-embed", text=truncated)) == 50
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