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https://github.com/katanemo/plano.git
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fix black formatting for Python test files
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parent
c4634d0034
commit
74f9b44378
2 changed files with 103 additions and 50 deletions
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@ -11,9 +11,11 @@ def cleanup_env(monkeypatch):
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monkeypatch.undo()
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@pytest.mark.parametrize("plano_config", [
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# Case 1: LLM provider config
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"""
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@pytest.mark.parametrize(
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"plano_config",
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[
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# Case 1: LLM provider config
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"""
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version: v0.1.0
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listeners:
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@ -44,8 +46,8 @@ llm_providers:
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tracing:
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random_sampling: 100
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""",
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# Case 2: Agent config
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"""
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# Case 2: Agent config
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"""
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version: v0.3.0
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agents:
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@ -86,7 +88,9 @@ model_providers:
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- access_key: ${OPENAI_API_KEY}
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model: openai/gpt-4o
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""",
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], ids=["llm_provider_config", "agent_config"])
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],
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ids=["llm_provider_config", "agent_config"],
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)
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def test_validate_and_render_happy_path(monkeypatch, plano_config):
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monkeypatch.setenv("PLANO_CONFIG_FILE", "fake_plano_config.yaml")
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monkeypatch.setenv("PLANO_CONFIG_SCHEMA_FILE", "fake_plano_config_schema.yaml")
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@ -310,49 +314,95 @@ def test_validate_and_render_schema_tests(monkeypatch, plano_config_test_case):
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validate_and_render_schema()
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@pytest.mark.parametrize("listeners,expected_providers,expected_llm_gateway,expected_prompt_gateway", [
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# Case 1: With prompt gateway (ingress + egress)
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(
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{
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"ingress_traffic": {"address": "0.0.0.0", "port": 10000, "timeout": "30s"},
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"egress_traffic": {"address": "0.0.0.0", "port": 12000, "timeout": "30s"},
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},
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[
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@pytest.mark.parametrize(
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"listeners,expected_providers,expected_llm_gateway,expected_prompt_gateway",
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[
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# Case 1: With prompt gateway (ingress + egress)
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(
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{
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"name": "egress_traffic", "type": "model_listener", "port": 12000,
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"address": "0.0.0.0", "timeout": "30s",
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"model_providers": [{"model": "openai/gpt-4o", "access_key": "test_key"}],
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"ingress_traffic": {
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"address": "0.0.0.0",
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"port": 10000,
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"timeout": "30s",
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},
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"egress_traffic": {
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"address": "0.0.0.0",
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"port": 12000,
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"timeout": "30s",
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},
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},
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{
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"name": "ingress_traffic", "type": "prompt_listener", "port": 10000,
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"address": "0.0.0.0", "timeout": "30s",
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},
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],
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{
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"address": "0.0.0.0", "model_providers": [{"access_key": "test_key", "model": "openai/gpt-4o"}],
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"name": "egress_traffic", "type": "model_listener", "port": 12000, "timeout": "30s",
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},
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{"address": "0.0.0.0", "name": "ingress_traffic", "port": 10000, "timeout": "30s", "type": "prompt_listener"},
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),
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# Case 2: Without prompt gateway (egress only)
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(
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{"egress_traffic": {"address": "0.0.0.0", "port": 12000, "timeout": "30s"}},
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[
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[
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{
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"name": "egress_traffic",
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"type": "model_listener",
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"port": 12000,
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"address": "0.0.0.0",
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"timeout": "30s",
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"model_providers": [
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{"model": "openai/gpt-4o", "access_key": "test_key"}
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],
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},
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{
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"name": "ingress_traffic",
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"type": "prompt_listener",
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"port": 10000,
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"address": "0.0.0.0",
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"timeout": "30s",
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},
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],
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{
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"address": "0.0.0.0",
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"model_providers": [{"access_key": "test_key", "model": "openai/gpt-4o"}],
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"name": "egress_traffic", "port": 12000, "timeout": "30s", "type": "model_listener",
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}
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],
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{
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"address": "0.0.0.0", "model_providers": [{"access_key": "test_key", "model": "openai/gpt-4o"}],
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"name": "egress_traffic", "type": "model_listener", "port": 12000, "timeout": "30s",
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},
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None,
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),
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], ids=["with_prompt_gateway", "without_prompt_gateway"])
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def test_convert_legacy_llm_providers(listeners, expected_providers, expected_llm_gateway, expected_prompt_gateway):
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"model_providers": [
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{"access_key": "test_key", "model": "openai/gpt-4o"}
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],
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"name": "egress_traffic",
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"type": "model_listener",
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"port": 12000,
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"timeout": "30s",
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},
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{
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"address": "0.0.0.0",
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"name": "ingress_traffic",
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"port": 10000,
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"timeout": "30s",
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"type": "prompt_listener",
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},
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),
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# Case 2: Without prompt gateway (egress only)
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(
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{"egress_traffic": {"address": "0.0.0.0", "port": 12000, "timeout": "30s"}},
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[
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{
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"address": "0.0.0.0",
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"model_providers": [
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{"access_key": "test_key", "model": "openai/gpt-4o"}
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],
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"name": "egress_traffic",
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"port": 12000,
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"timeout": "30s",
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"type": "model_listener",
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}
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],
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{
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"address": "0.0.0.0",
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"model_providers": [
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{"access_key": "test_key", "model": "openai/gpt-4o"}
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],
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"name": "egress_traffic",
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"type": "model_listener",
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"port": 12000,
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"timeout": "30s",
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},
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None,
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),
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],
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ids=["with_prompt_gateway", "without_prompt_gateway"],
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)
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def test_convert_legacy_llm_providers(
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listeners, expected_providers, expected_llm_gateway, expected_prompt_gateway
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):
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from planoai.utils import convert_legacy_listeners
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llm_providers = [{"model": "openai/gpt-4o", "access_key": "test_key"}]
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updated_providers, llm_gateway, prompt_gateway = convert_legacy_listeners(
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listeners, llm_providers
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@ -52,11 +52,15 @@ class TestCheckVersionStatus:
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assert status["is_outdated"] is False
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assert status["message"] is None
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@pytest.mark.parametrize("current,latest", [
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("0.4.1", "1.0.0"), # major
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("0.4.1", "0.5.0"), # minor
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("0.4.1", "0.4.2"), # patch
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], ids=["major", "minor", "patch"])
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@pytest.mark.parametrize(
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"current,latest",
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[
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("0.4.1", "1.0.0"), # major
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("0.4.1", "0.5.0"), # minor
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("0.4.1", "0.4.2"), # patch
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],
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ids=["major", "minor", "patch"],
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)
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def test_version_outdated(self, current, latest):
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status = check_version_status(current, latest)
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assert status["is_outdated"] is True
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@ -150,4 +154,3 @@ class TestVersionCheckIntegration:
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status = check_version_status(current_version, latest)
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assert status["is_outdated"] is False
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