bump rc1 #79
Merged
bump rc1 #79
Google Cloud Build / langchain-google-integration-tests-us (llm-integration-tests)
failed
Mar 20, 2024 in 1m 44s
Summary
Build Information
| Trigger | langchain-google-integration-tests-us |
| Build | 73029d40-df97-4814-94c6-61d639672ad2 |
| Start | 2024-03-20T12:17:36-07:00 |
| Duration | 1m43.243s |
| Status | FAILURE |
Steps
| Step | Status | Duration |
|---|---|---|
| genai integration tests | FAILURE | 1m40.111s |
Details
starting build "73029d40-df97-4814-94c6-61d639672ad2"
FETCHSOURCE
hint: Using 'master' as the name for the initial branch. This default branch name
hint: is subject to change. To configure the initial branch name to use in all
hint: of your new repositories, which will suppress this warning, call:
hint:
hint: git config --global init.defaultBranch <name>
hint:
hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
hint: 'development'. The just-created branch can be renamed via this command:
hint:
hint: git branch -m <name>
Initialized empty Git repository in /workspace/.git/
From https://github.com/langchain-ai/langchain-google
* branch d6809f6e98deb0ede0df119b4a6ab662eb50d9d2 -> FETCH_HEAD
HEAD is now at d6809f6 bump rc1
BUILD
Pulling image: python:3.11
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Digest: sha256:47d0618fb878d93e1b8cacb184fd8f727ae95c1b85d5959723e1d3e1848e2aba
Status: Downloaded newer image for python:3.11
docker.io/library/python:3.11
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Installing collected packages: trove-classifiers, ptyprocess, fastjsonschema, distlib, zipp, urllib3, tomlkit, shellingham, rapidfuzz, pyproject-hooks, pycparser, poetry-core, platformdirs, pkginfo, pexpect, packaging, msgpack, more-itertools, jeepney, installer, idna, filelock, crashtest, charset-normalizer, certifi, virtualenv, requests, jaraco.classes, importlib-metadata, dulwich, cleo, cffi, build, requests-toolbelt, cryptography, cachecontrol, SecretStorage, keyring, poetry-plugin-export, poetry
changing mode of /usr/local/bin/pkginfo to 755
changing mode of /usr/local/bin/normalizer to 755
changing mode of /usr/local/bin/virtualenv to 755
changing mode of /usr/local/bin/dulwich to 755
changing mode of /usr/local/bin/pyproject-build to 755
changing mode of /usr/local/bin/doesitcache to 755
changing mode of /usr/local/bin/keyring to 755
changing mode of /usr/local/bin/poetry to 755
Successfully installed SecretStorage-3.3.3 build-1.1.1 cachecontrol-0.13.1 certifi-2024.2.2 cffi-1.16.0 charset-normalizer-3.3.2 cleo-2.1.0 crashtest-0.4.1 cryptography-42.0.5 distlib-0.3.8 dulwich-0.21.7 fastjsonschema-2.19.1 filelock-3.13.1 idna-3.6 importlib-metadata-7.0.2 installer-0.7.0 jaraco.classes-3.3.1 jeepney-0.8.0 keyring-24.3.1 more-itertools-10.2.0 msgpack-1.0.8 packaging-24.0 pexpect-4.9.0 pkginfo-1.10.0 platformdirs-3.11.0 poetry-1.7.1 poetry-core-1.8.1 poetry-plugin-export-1.6.0 ptyprocess-0.7.0 pycparser-2.21 pyproject-hooks-1.0.0 rapidfuzz-3.6.2 requests-2.31.0 requests-toolbelt-1.0.0 shellingham-1.5.4 tomlkit-0.12.4 trove-classifiers-2024.3.3 urllib3-2.2.1 virtualenv-20.25.1 zipp-3.18.1
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
Creating virtualenv langchain-google-genai-G8ioShJx-py3.11 in /builder/home/.cache/pypoetry/virtualenvs
Installing dependencies from lock file
Package operations: 52 installs, 0 updates, 0 removals
• Installing protobuf (4.25.3)
• Installing pyasn1 (0.5.1)
• Installing cachetools (5.3.3)
• Installing certifi (2024.2.2)
• Installing charset-normalizer (3.3.2)
• Installing googleapis-common-protos (1.63.0)
• Installing grpcio (1.62.1)
• Installing idna (3.6)
• Installing pyasn1-modules (0.3.0)
• Installing rsa (4.9)
• Installing typing-extensions (4.10.0)
• Installing urllib3 (2.2.1)
• Installing annotated-types (0.6.0)
• Installing google-auth (2.28.2)
• Installing grpcio-status (1.62.1)
• Installing pydantic-core (2.16.3)
• Installing requests (2.31.0)
• Installing google-api-core (2.17.1)
• Installing iniconfig (2.0.0)
• Installing orjson (3.9.15)
• Installing jsonpointer (2.4)
• Installing packaging (23.2)
• Installing pluggy (1.4.0)
• Installing proto-plus (1.23.0)
• Installing pydantic (2.6.4)
• Installing six (1.16.0)
• Installing sniffio (1.3.1)
• Installing anyio (4.3.0)
• Installing google-ai-generativelanguage (0.4.0)
• Installing jsonpatch (1.33)
• Installing langsmith (0.1.24)
• Installing mypy-extensions (1.0.0)
• Installing pytest (7.4.4)
• Installing python-dateutil (2.9.0.post0)
• Installing pyyaml (6.0.1)
• Installing tenacity (8.2.3)
• Installing tqdm (4.66.2)
• Installing watchdog (4.0.0)
• Installing freezegun (1.4.0)
• Installing google-generativeai (0.4.1)
• Installing langchain-core (0.1.31)
• Installing mypy (0.991)
• Installing numpy (1.26.4)
• Installing pillow (10.2.0)
• Installing pytest-asyncio (0.21.1)
• Installing pytest-mock (3.12.0)
• Installing pytest-watcher (0.3.5)
• Installing syrupy (4.6.1)
• Installing types-google-cloud-ndb (2.3.0.20240311)
• Installing types-pillow (10.2.0.20240311)
• Installing types-protobuf (4.24.0.20240311)
• Installing types-requests (2.31.0.20240311)
Installing /builder/home/.cache/pypoetry/virtualenvs/langchain-google-genai-G8ioShJx-py3.11/lib/python3.11/site-packages/google-stubs/METADATA.toml over existing file
Installing the current project: langchain-google-genai (0.0.11)
poetry run pytest tests/integration_tests/
============================= test session starts ==============================
platform linux -- Python 3.11.8, pytest-7.4.4, pluggy-1.4.0
rootdir: /workspace/libs/genai
configfile: pyproject.toml
plugins: asyncio-0.21.1, anyio-4.3.0, mock-3.12.0, syrupy-4.6.1
asyncio: mode=Mode.AUTO
collected 38 items
tests/integration_tests/test_chat_models.py ............... [ 39%]
tests/integration_tests/test_compile.py . [ 42%]
tests/integration_tests/test_embeddings.py .......... [ 68%]
tests/integration_tests/test_function_call.py ... [ 76%]
tests/integration_tests/test_llms.py ........F [100%]
=================================== FAILURES ===================================
_________________________ test_safety_settings_gemini __________________________
def test_safety_settings_gemini() -> None:
# test with blocked prompt
llm = GoogleGenerativeAI(temperature=0, model="gemini-pro")
output = llm.generate(prompts=["how to make a bomb?"])
assert isinstance(output, LLMResult)
assert len(output.generations[0]) == 0
# safety filters
safety_settings = {
HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT: HarmBlockThreshold.BLOCK_NONE,
}
# test with safety filters directly to generate
output = llm.generate(["how to make a bomb?"], safety_settings=safety_settings)
assert isinstance(output, LLMResult)
assert len(output.generations[0]) > 0
# test with safety filters directly to stream
streamed_messages = []
output_stream = llm.stream("how to make a bomb?", safety_settings=safety_settings)
assert isinstance(output_stream, Generator)
> for message in output_stream:
tests/integration_tests/test_llms.py:94:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
/builder/home/.cache/pypoetry/virtualenvs/langchain-google-genai-G8ioShJx-py3.11/lib/python3.11/site-packages/langchain_core/language_models/llms.py:425: in stream
raise e
/builder/home/.cache/pypoetry/virtualenvs/langchain-google-genai-G8ioShJx-py3.11/lib/python3.11/site-packages/langchain_core/language_models/llms.py:409: in stream
for chunk in self._stream(
langchain_google_genai/llms.py:318: in _stream
chunk = GenerationChunk(text=stream_resp.text)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = response:
GenerateContentResponse(
done=True,
iterator=None,
result=glm.GenerateContentResponse({'candidat...': False}, {'category': 10, 'probability': 1, 'blocked': False}], 'token_count': 0, 'grounding_attributions': []}]}),
)
@property
def text(self):
"""A quick accessor equivalent to `self.candidates[0].parts[0].text`
Raises:
ValueError: If the candidate list or parts list does not contain exactly one entry.
"""
parts = self.parts
if not parts:
> raise ValueError(
"The `response.text` quick accessor only works when the response contains a valid "
"`Part`, but none was returned. Check the `candidate.safety_ratings` to see if the "
"response was blocked."
)
E ValueError: The `response.text` quick accessor only works when the response contains a valid `Part`, but none was returned. Check the `candidate.safety_ratings` to see if the response was blocked.
/builder/home/.cache/pypoetry/virtualenvs/langchain-google-genai-G8ioShJx-py3.11/lib/python3.11/site-packages/google/generativeai/types/generation_types.py:333: ValueError
=============================== warnings summary =======================
...
[Logs truncated due to log size limitations. For full logs, see https://console.cloud.google.com/logs/viewer?advancedFilter=resource.type%3D%22build%22+AND+resource.labels.build_id%3D%2273029d40-df97-4814-94c6-61d639672ad2%22+AND+resource.labels.build_trigger_id%3D%224b3bd612-e55f-482c-b475-c643c775d46d%22&project=llm-integration-tests.]
...
g build "73029d40-df97-4814-94c6-61d639672ad2"
FETCHSOURCE
hint: Using 'master' as the name for the initial branch. This default branch name
hint: is subject to change. To configure the initial branch name to use in all
hint: of your new repositories, which will suppress this warning, call:
hint:
hint: git config --global init.defaultBranch <name>
hint:
hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
hint: 'development'. The just-created branch can be renamed via this command:
hint:
hint: git branch -m <name>
Initialized empty Git repository in /workspace/.git/
From https://github.com/langchain-ai/langchain-google
* branch d6809f6e98deb0ede0df119b4a6ab662eb50d9d2 -> FETCH_HEAD
HEAD is now at d6809f6 bump rc1
BUILD
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Digest: sha256:47d0618fb878d93e1b8cacb184fd8f727ae95c1b85d5959723e1d3e1848e2aba
Status: Downloaded newer image for python:3.11
docker.io/library/python:3.11
Using pip 24.0 from /usr/local/lib/python3.11/site-packages/pip (python 3.11)
Collecting poetry==1.7.1
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Installing collected packages: trove-classifiers, ptyprocess, fastjsonschema, distlib, zipp, urllib3, tomlkit, shellingham, rapidfuzz, pyproject-hooks, pycparser, poetry-core, platformdirs, pkginfo, pexpect, packaging, msgpack, more-itertools, jeepney, installer, idna, filelock, crashtest, charset-normalizer, certifi, virtualenv, requests, jaraco.classes, importlib-metadata, dulwich, cleo, cffi, build, requests-toolbelt, cryptography, cachecontrol, SecretStorage, keyring, poetry-plugin-export, poetry
changing mode of /usr/local/bin/pkginfo to 755
changing mode of /usr/local/bin/normalizer to 755
changing mode of /usr/local/bin/virtualenv to 755
changing mode of /usr/local/bin/dulwich to 755
changing mode of /usr/local/bin/pyproject-build to 755
changing mode of /usr/local/bin/doesitcache to 755
changing mode of /usr/local/bin/keyring to 755
changing mode of /usr/local/bin/poetry to 755
Successfully installed SecretStorage-3.3.3 build-1.1.1 cachecontrol-0.13.1 certifi-2024.2.2 cffi-1.16.0 charset-normalizer-3.3.2 cleo-2.1.0 crashtest-0.4.1 cryptography-42.0.5 distlib-0.3.8 dulwich-0.21.7 fastjsonschema-2.19.1 filelock-3.13.1 idna-3.6 importlib-metadata-7.0.2 installer-0.7.0 jaraco.classes-3.3.1 jeepney-0.8.0 keyring-24.3.1 more-itertools-10.2.0 msgpack-1.0.8 packaging-24.0 pexpect-4.9.0 pkginfo-1.10.0 platformdirs-3.11.0 poetry-1.7.1 poetry-core-1.8.1 poetry-plugin-export-1.6.0 ptyprocess-0.7.0 pycparser-2.21 pyproject-hooks-1.0.0 rapidfuzz-3.6.2 requests-2.31.0 requests-toolbelt-1.0.0 shellingham-1.5.4 tomlkit-0.12.4 trove-classifiers-2024.3.3 urllib3-2.2.1 virtualenv-20.25.1 zipp-3.18.1
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
Creating virtualenv langchain-google-genai-G8ioShJx-py3.11 in /builder/home/.cache/pypoetry/virtualenvs
Installing dependencies from lock file
Package operations: 52 installs, 0 updates, 0 removals
• Installing protobuf (4.25.3)
• Installing pyasn1 (0.5.1)
• Installing cachetools (5.3.3)
• Installing certifi (2024.2.2)
• Installing charset-normalizer (3.3.2)
• Installing googleapis-common-protos (1.63.0)
• Installing grpcio (1.62.1)
• Installing idna (3.6)
• Installing pyasn1-modules (0.3.0)
• Installing rsa (4.9)
• Installing typing-extensions (4.10.0)
• Installing urllib3 (2.2.1)
• Installing annotated-types (0.6.0)
• Installing google-auth (2.28.2)
• Installing grpcio-status (1.62.1)
• Installing pydantic-core (2.16.3)
• Installing requests (2.31.0)
• Installing google-api-core (2.17.1)
• Installing iniconfig (2.0.0)
• Installing orjson (3.9.15)
• Installing jsonpointer (2.4)
• Installing packaging (23.2)
• Installing pluggy (1.4.0)
• Installing proto-plus (1.23.0)
• Installing pydantic (2.6.4)
• Installing six (1.16.0)
• Installing sniffio (1.3.1)
• Installing anyio (4.3.0)
• Installing google-ai-generativelanguage (0.4.0)
• Installing jsonpatch (1.33)
• Installing langsmith (0.1.24)
• Installing mypy-extensions (1.0.0)
• Installing pytest (7.4.4)
• Installing python-dateutil (2.9.0.post0)
• Installing pyyaml (6.0.1)
• Installing tenacity (8.2.3)
• Installing tqdm (4.66.2)
• Installing watchdog (4.0.0)
• Installing freezegun (1.4.0)
• Installing google-generativeai (0.4.1)
• Installing langchain-core (0.1.31)
• Installing mypy (0.991)
• Installing numpy (1.26.4)
• Installing pillow (10.2.0)
• Installing pytest-asyncio (0.21.1)
• Installing pytest-mock (3.12.0)
• Installing pytest-watcher (0.3.5)
• Installing syrupy (4.6.1)
• Installing types-google-cloud-ndb (2.3.0.20240311)
• Installing types-pillow (10.2.0.20240311)
• Installing types-protobuf (4.24.0.20240311)
• Installing types-requests (2.31.0.20240311)
Installing /builder/home/.cache/pypoetry/virtualenvs/langchain-google-genai-G8ioShJx-py3.11/lib/python3.11/site-packages/google-stubs/METADATA.toml over existing file
Installing the current project: langchain-google-genai (0.0.11)
poetry run pytest tests/integration_tests/
============================= test session starts ==============================
platform linux -- Python 3.11.8, pytest-7.4.4, pluggy-1.4.0
rootdir: /workspace/libs/genai
configfile: pyproject.toml
plugins: asyncio-0.21.1, anyio-4.3.0, mock-3.12.0, syrupy-4.6.1
asyncio: mode=Mode.AUTO
collected 38 items
tests/integration_tests/test_chat_models.py ............... [ 39%]
tests/integration_tests/test_compile.py . [ 42%]
tests/integration_tests/test_embeddings.py .......... [ 68%]
tests/integration_tests/test_function_call.py ... [ 76%]
tests/integration_tests/test_llms.py ........F [100%]
=================================== FAILURES ===================================
_________________________ test_safety_settings_gemini __________________________
def test_safety_settings_gemini() -> None:
# test with blocked prompt
llm = GoogleGenerativeAI(temperature=0, model="gemini-pro")
output = llm.generate(prompts=["how to make a bomb?"])
assert isinstance(output, LLMResult)
assert len(output.generations[0]) == 0
# safety filters
safety_settings = {
HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT: HarmBlockThreshold.BLOCK_NONE,
}
# test with safety filters directly to generate
output = llm.generate(["how to make a bomb?"], safety_settings=safety_settings)
assert isinstance(output, LLMResult)
assert len(output.generations[0]) > 0
# test with safety filters directly to stream
streamed_messages = []
output_stream = llm.stream("how to make a bomb?", safety_settings=safety_settings)
assert isinstance(output_stream, Generator)
> for message in output_stream:
tests/integration_tests/test_llms.py:94:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
/builder/home/.cache/pypoetry/virtualenvs/langchain-google-genai-G8ioShJx-py3.11/lib/python3.11/site-packages/langchain_core/language_models/llms.py:425: in stream
raise e
/builder/home/.cache/pypoetry/virtualenvs/langchain-google-genai-G8ioShJx-py3.11/lib/python3.11/site-packages/langchain_core/language_models/llms.py:409: in stream
for chunk in self._stream(
langchain_google_genai/llms.py:318: in _stream
chunk = GenerationChunk(text=stream_resp.text)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = response:
GenerateContentResponse(
done=True,
iterator=None,
result=glm.GenerateContentResponse({'candidat...': False}, {'category': 10, 'probability': 1, 'blocked': False}], 'token_count': 0, 'grounding_attributions': []}]}),
)
@property
def text(self):
"""A quick accessor equivalent to `self.candidates[0].parts[0].text`
Raises:
ValueError: If the candidate list or parts list does not contain exactly one entry.
"""
parts = self.parts
if not parts:
> raise ValueError(
"The `response.text` quick accessor only works when the response contains a valid "
"`Part`, but none was returned. Check the `candidate.sa
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