jyapayne/langflow
1
0
Fork 0
Code Issues Pull requests Projects Releases 1 Packages Wiki Activity Actions

feat: add truncation to ResultDataResponse (#5704)

Browse source 
* chore: Update dependencies and improve platform markers in configuration files

- Added 'hypothesis' version 6.123.17 to dev-dependencies in pyproject.toml.
- Updated platform markers from 'sys_platform' to 'platform_system' for better compatibility in uv.lock, affecting multiple packages including 'jinxed', 'colorama', and 'appnope'.
- Ensured consistency in platform checks across various dependencies to enhance cross-platform support.

This update improves the project's dependency management and ensures better compatibility across different operating systems.

* feat: Enhance ResultDataResponse serialization with truncation support

- Introduced a new method `_serialize_and_truncate` to handle serialization and truncation of various data types, including strings, bytes, datetime, Decimal, UUID, and BaseModel instances.
- Updated the `serialize_results` method to utilize the new truncation logic for both individual results and dictionary outputs.
- Enhanced the `serialize_model` method to ensure all relevant fields are serialized and truncated according to the defined maximum text length.

This update improves the handling of large data outputs, ensuring that responses remain concise and manageable.

* fix: Reduce MAX_TEXT_LENGTH in constants.py from 99999 to 20000

This change lowers the maximum text length limit to improve data handling and ensure more manageable output sizes across the application.

* test: Add comprehensive unit tests for ResultDataResponse and VertexBuildResponse

- Introduced a new test suite in `test_api_schemas.py` to validate the serialization and truncation behavior of `ResultDataResponse` and `VertexBuildResponse`.
- Implemented tests for handling long strings, special data types, nested structures, and combined fields, ensuring proper serialization and truncation.
- Enhanced coverage for logging and output handling, verifying that all fields are correctly processed and truncated as per the defined maximum text length.
- Utilized Hypothesis for property-based testing to ensure robustness and reliability of the serialization logic.

This update significantly improves the test coverage for the API response schemas, ensuring better data handling and output management.
This commit is contained in:
Gabriel Luiz Freitas Almeida 2025-01-16 15:39:34 -03:00 • committed by GitHub
commit 99f2ef6115
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
5 changed files with 413 additions and 30 deletions
Download patch file Download diff file Expand all files Collapse all files

1
pyproject.toml
View file

@ -186,6 +186,7 @@ dev-dependencies = [
"blockbuster>=1.5.8,<1.6",
"types-aiofiles>=24.1.0.20240626",
"codeflash>=0.8.4",
"hypothesis>=6.123.17",
]

72
src/backend/base/langflow/api/v1/schemas.py
View file

@ -1,20 +1,13 @@
from datetime import datetime, timezone
from decimal import Decimal
from enum import Enum
from pathlib import Path
from typing import Any
from uuid import UUID
from pydantic import (
BaseModel,
ConfigDict,
Field,
field_serializer,
field_validator,
model_serializer,
)
from pydantic import BaseModel, ConfigDict, Field, field_serializer, field_validator, model_serializer
from langflow.graph.schema import RunOutputs
from langflow.graph.utils import serialize_field
from langflow.schema import dotdict
from langflow.schema.graph import Tweaks
from langflow.schema.schema import InputType, OutputType, OutputValue
@ -24,6 +17,7 @@ from langflow.services.database.models.flow import FlowCreate, FlowRead
from langflow.services.database.models.user import UserRead
from langflow.services.settings.feature_flags import FeatureFlags
from langflow.services.tracing.schema import Log
from langflow.utils.constants import MAX_TEXT_LENGTH
from langflow.utils.util_strings import truncate_long_strings
@ -275,9 +269,65 @@ class ResultDataResponse(BaseModel):
@field_serializer("results")
@classmethod
def serialize_results(cls, v):
"""Serialize results with custom handling for special types and truncation."""
if isinstance(v, dict):
return {key: serialize_field(val) for key, val in v.items()}
return serialize_field(v)
return {key: cls._serialize_and_truncate(val, max_length=MAX_TEXT_LENGTH) for key, val in v.items()}
return cls._serialize_and_truncate(v, max_length=MAX_TEXT_LENGTH)
@staticmethod
def _serialize_and_truncate(obj: Any, max_length: int = MAX_TEXT_LENGTH) -> Any:
"""Helper method to serialize and truncate values."""
if isinstance(obj, bytes):
obj = obj.decode("utf-8", errors="ignore")
if len(obj) > max_length:
return f"{obj[:max_length]}... [truncated]"
return obj
if isinstance(obj, str):
if len(obj) > max_length:
return f"{obj[:max_length]}... [truncated]"
return obj
if isinstance(obj, datetime):
return obj.astimezone().isoformat()
if isinstance(obj, Decimal):
return float(obj)
if isinstance(obj, UUID):
return str(obj)
if isinstance(obj, OutputValue | Log):
# First serialize the model
serialized = obj.model_dump()
# Then recursively truncate all values in the serialized dict
for key, value in serialized.items():
# Handle string values directly to ensure proper truncation
if isinstance(value, str) and len(value) > max_length:
serialized[key] = f"{value[:max_length]}... [truncated]"
else:
serialized[key] = ResultDataResponse._serialize_and_truncate(value, max_length=max_length)
return serialized
if isinstance(obj, BaseModel):
# For other BaseModel instances, serialize all fields
serialized = obj.model_dump()
return {
k: ResultDataResponse._serialize_and_truncate(v, max_length=max_length) for k, v in serialized.items()
}
if isinstance(obj, dict):
return {k: ResultDataResponse._serialize_and_truncate(v, max_length=max_length) for k, v in obj.items()}
if isinstance(obj, list | tuple):
return [ResultDataResponse._serialize_and_truncate(item, max_length=max_length) for item in obj]
return obj
@model_serializer(mode="plain")
def serialize_model(self) -> dict:
"""Custom serializer for the entire model."""
return {
"results": self.serialize_results(self.results),
"outputs": self._serialize_and_truncate(self.outputs, max_length=MAX_TEXT_LENGTH),
"logs": self._serialize_and_truncate(self.logs, max_length=MAX_TEXT_LENGTH),
"message": self._serialize_and_truncate(self.message, max_length=MAX_TEXT_LENGTH),
"artifacts": self._serialize_and_truncate(self.artifacts, max_length=MAX_TEXT_LENGTH),
"timedelta": self.timedelta,
"duration": self.duration,
"used_frozen_result": self.used_frozen_result,
}
class VertexBuildResponse(BaseModel):

2
src/backend/base/langflow/utils/constants.py
View file

@ -185,4 +185,4 @@ MESSAGE_SENDER_USER = "User"
MESSAGE_SENDER_NAME_AI = "AI"
MESSAGE_SENDER_NAME_USER = "User"
MAX_TEXT_LENGTH = 99999
MAX_TEXT_LENGTH = 20000

316
src/backend/tests/unit/api/v1/test_api_schemas.py Normal file
View file

@ -0,0 +1,316 @@
from datetime import datetime, timezone
from hypothesis import HealthCheck, example, given, settings
from hypothesis import strategies as st
from langflow.api.v1.schemas import ResultDataResponse, VertexBuildResponse
from langflow.schema.schema import OutputValue
from langflow.services.tracing.schema import Log
from pydantic import BaseModel
# Use a smaller test size for hypothesis
TEST_TEXT_LENGTH = 50
class SampleBaseModel(BaseModel):
name: str
value: int
@given(st.text(min_size=TEST_TEXT_LENGTH + 1, max_size=TEST_TEXT_LENGTH * 2))
@settings(max_examples=10)
def test_result_data_response_truncation(long_string):
"""Test that ResultDataResponse properly truncates long strings."""
response = ResultDataResponse(
results={"long_text": long_string},
message={"text": long_string},
)
response.serialize_model()
truncated = response._serialize_and_truncate(long_string, max_length=TEST_TEXT_LENGTH)
assert len(truncated) <= TEST_TEXT_LENGTH + len("... [truncated]")
assert "... [truncated]" in truncated
@given(
st.uuids(),
st.datetimes(timezones=st.just(timezone.utc)),
st.decimals(min_value="-1e6", max_value="1e6"),
st.text(min_size=1),
st.integers(),
)
@settings(max_examples=10)
def test_result_data_response_special_types(uuid, dt, decimal, name, value):
"""Test that ResultDataResponse properly handles special data types."""
test_model = SampleBaseModel(name=name, value=value)
response = ResultDataResponse(
results={
"uuid": uuid,
"datetime": dt,
"decimal": decimal,
"model": test_model,
}
)
serialized = response.serialize_model()
assert serialized["results"]["uuid"] == str(uuid)
# Compare timezone-aware datetimes
assert datetime.fromisoformat(serialized["results"]["datetime"]).astimezone(timezone.utc) == dt
assert isinstance(serialized["results"]["decimal"], float)
assert serialized["results"]["model"] == {"name": name, "value": value}
@given(
st.lists(st.text(min_size=TEST_TEXT_LENGTH + 1, max_size=TEST_TEXT_LENGTH * 2), min_size=1, max_size=2),
st.dictionaries(
keys=st.text(min_size=1, max_size=10),
values=st.text(min_size=TEST_TEXT_LENGTH + 1, max_size=TEST_TEXT_LENGTH * 2),
min_size=1,
max_size=2,
),
)
@settings(max_examples=5, suppress_health_check=[HealthCheck.too_slow, HealthCheck.large_base_example])
def test_result_data_response_nested_structures(long_list, long_dict):
"""Test that ResultDataResponse handles nested structures correctly."""
nested_data = {
"list": long_list,
"dict": long_dict,
}
response = ResultDataResponse(results=nested_data)
serialized = response._serialize_and_truncate(nested_data, max_length=TEST_TEXT_LENGTH)
# Check list items
for item in serialized["list"]:
assert len(item) <= TEST_TEXT_LENGTH + len("... [truncated]")
if len(item) > TEST_TEXT_LENGTH:
assert "... [truncated]" in item
# Check dict values
for val in serialized["dict"].values():
assert len(val) <= TEST_TEXT_LENGTH + len("... [truncated]")
if len(val) > TEST_TEXT_LENGTH:
assert "... [truncated]" in val
@given(
st.dictionaries(
keys=st.text(min_size=1, max_size=5),
values=st.text(min_size=TEST_TEXT_LENGTH + 1, max_size=TEST_TEXT_LENGTH * 2),
min_size=1,
max_size=2,
),
)
@settings(max_examples=10)
@example(
outputs_dict={"0": "000000000000000000000000000000000000000000000000000"},
).via("discovered failure")
@example(
outputs_dict={"0": "000000000000000000000000000000000000000000000000000000000000000000"},
).via("discovered failure")
def test_result_data_response_outputs(outputs_dict):
"""Test that ResultDataResponse properly handles and truncates outputs."""
# Create OutputValue objects with potentially long messages
outputs = {key: OutputValue(type="text", message=value) for key, value in outputs_dict.items()}
response = ResultDataResponse(outputs=outputs)
serialized = ResultDataResponse._serialize_and_truncate(response, max_length=TEST_TEXT_LENGTH)
# Check outputs are properly serialized and truncated
for key, value in outputs_dict.items():
assert key in serialized["outputs"]
serialized_output = serialized["outputs"][key]
assert serialized_output["type"] == "text"
# Check message truncation
message = serialized_output["message"]
assert len(message) <= TEST_TEXT_LENGTH + len("... [truncated]"), f"Message length: {len(message)}"
if len(value) > TEST_TEXT_LENGTH:
assert "... [truncated]" in message
assert message.startswith(value[:TEST_TEXT_LENGTH])
else:
assert message == value
@given(
st.lists(
st.text(min_size=TEST_TEXT_LENGTH + 1, max_size=TEST_TEXT_LENGTH * 2),
min_size=1,
max_size=3,
),
)
@settings(max_examples=10)
@example(
log_messages=["000000000000000000000000000000000000000000000000000"],
).via("discovered failure")
def test_result_data_response_logs(log_messages):
"""Test that ResultDataResponse properly handles and truncates logs."""
# Create logs with long messages
logs = {
"test_node": [
Log(
message=msg,
name="test_log",
type="test",
)
for msg in log_messages
]
}
response = ResultDataResponse(logs=logs)
serialized = ResultDataResponse._serialize_and_truncate(response, max_length=TEST_TEXT_LENGTH)
# Check logs are properly serialized and truncated
assert "test_node" in serialized["logs"]
serialized_logs = serialized["logs"]["test_node"]
for i, log_msg in enumerate(log_messages):
serialized_log = serialized_logs[i]
assert serialized_log["name"] == "test_log"
assert serialized_log["type"] == "test"
# Check message truncation
message = serialized_log["message"]
assert len(message) <= TEST_TEXT_LENGTH + len("... [truncated]")
if len(log_msg) > TEST_TEXT_LENGTH:
assert "... [truncated]" in message
assert message.startswith(log_msg[:TEST_TEXT_LENGTH])
else:
assert message == log_msg
@given(
st.dictionaries(
keys=st.text(min_size=1, max_size=5),
values=st.text(min_size=TEST_TEXT_LENGTH + 1, max_size=TEST_TEXT_LENGTH * 2),
min_size=1,
max_size=2,
),
st.lists(
st.text(min_size=TEST_TEXT_LENGTH + 1, max_size=TEST_TEXT_LENGTH * 2),
min_size=1,
max_size=3,
),
)
@settings(max_examples=10)
@example(
outputs_dict={"0": "000000000000000000000000000000000000000000000000000000000000000000"},
log_messages=["000000000000000000000000000000000000000000000000000"],
).via("discovered failure")
@example(
outputs_dict={"0": "000000000000000000000000000000000000000000000000000"},
log_messages=["000000000000000000000000000000000000000000000000000"],
).via("discovered failure")
def test_result_data_response_combined_fields(outputs_dict, log_messages):
"""Test that ResultDataResponse properly handles all fields together."""
# Create OutputValue objects with potentially long messages
outputs = {key: OutputValue(type="text", message=value) for key, value in outputs_dict.items()}
# Create logs with long messages
logs = {
"test_node": [
Log(
message=msg,
name="test_log",
type="test",
)
for msg in log_messages
]
}
response = ResultDataResponse(
outputs=outputs,
logs=logs,
results={"test": "value"},
message={"text": "test"},
artifacts={"file": "test.txt"},
)
serialized = ResultDataResponse._serialize_and_truncate(response, max_length=TEST_TEXT_LENGTH)
# Check all fields are present
assert "outputs" in serialized
assert "logs" in serialized
assert "results" in serialized
assert "message" in serialized
assert "artifacts" in serialized
# Check outputs truncation
for key, value in outputs_dict.items():
assert key in serialized["outputs"]
serialized_output = serialized["outputs"][key]
assert serialized_output["type"] == "text"
# Check message truncation
message = serialized_output["message"]
if len(value) > TEST_TEXT_LENGTH:
assert len(message) <= TEST_TEXT_LENGTH + len("... [truncated]")
assert "... [truncated]" in message
else:
assert message == value
# Check logs truncation
assert "test_node" in serialized["logs"]
serialized_logs = serialized["logs"]["test_node"]
for i, log_msg in enumerate(log_messages):
serialized_log = serialized_logs[i]
assert serialized_log["name"] == "test_log"
assert serialized_log["type"] == "test"
# Check message truncation
message = serialized_log["message"]
if len(log_msg) > TEST_TEXT_LENGTH:
assert len(message) <= TEST_TEXT_LENGTH + len("... [truncated]")
assert "... [truncated]" in message
else:
assert message == log_msg
@given(
st.text(min_size=1), # build_id
st.lists(st.text()), # logs
st.text(min_size=1), # message
)
@settings(max_examples=10)
def test_vertex_build_response_serialization(build_id, log_messages, test_message):
"""Test that VertexBuildResponse properly serializes its data field."""
logs = [Log(message=msg, name="test_log", type="test") for msg in log_messages]
result_data = ResultDataResponse(
results={"test": test_message},
message={"text": test_message},
logs={"node1": logs},
)
response = VertexBuildResponse(
id=build_id,
valid=True,
data=result_data,
)
serialized = response.model_dump()
assert serialized["id"] == build_id
assert serialized["valid"] is True
assert isinstance(serialized["data"], dict)
assert serialized["data"]["results"]["test"] == test_message
@given(st.text(min_size=TEST_TEXT_LENGTH + 1, max_size=TEST_TEXT_LENGTH * 2))
@settings(max_examples=10)
def test_vertex_build_response_with_long_data(long_string):
"""Test that VertexBuildResponse properly handles long data in its data field."""
result_data = ResultDataResponse(
results={"long_text": long_string},
message={"text": long_string},
)
response = VertexBuildResponse(
id="test-id",
valid=True,
data=result_data,
)
response.model_dump()
truncated = result_data._serialize_and_truncate(long_string, max_length=TEST_TEXT_LENGTH)
assert len(truncated) <= TEST_TEXT_LENGTH + len("... [truncated]")
assert "... [truncated]" in truncated

52
uv.lock generated
View file

@ -532,7 +532,7 @@ name = "blessed"
version = "1.20.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jinxed", marker = "sys_platform == 'win32'" },
{ name = "jinxed", marker = "platform_system == 'Windows'" },
{ name = "six" },
{ name = "wcwidth" },
]
@ -954,7 +954,7 @@ name = "click"
version = "8.1.8"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "colorama", marker = "sys_platform == 'win32'" },
{ name = "colorama", marker = "platform_system == 'Windows'" },
]
sdist = { url = "https://files.pythonhosted.org/packages/b9/2e/0090cbf739cee7d23781ad4b89a9894a41538e4fcf4c31dcdd705b78eb8b/click-8.1.8.tar.gz", hash = "sha256:ed53c9d8990d83c2a27deae68e4ee337473f6330c040a31d4225c9574d16096a", size = 226593 }
wheels = [
@ -3000,6 +3000,20 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/d7/de/85a784bcc4a3779d1753a7ec2dee5de90e18c7bcf402e71b51fcf150b129/hyperframe-6.0.1-py3-none-any.whl", hash = "sha256:0ec6bafd80d8ad2195c4f03aacba3a8265e57bc4cff261e802bf39970ed02a15", size = 12389 },
]
[[package]]
name = "hypothesis"
version = "6.123.17"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "attrs" },
{ name = "exceptiongroup", marker = "python_full_version < '3.11'" },
{ name = "sortedcontainers" },
]
sdist = { url = "https://files.pythonhosted.org/packages/15/a7/695b2bcb4e8438e1d4683efa6877fc95be293a11251471d4552d6dd08259/hypothesis-6.123.17.tar.gz", hash = "sha256:5850893975b4f08e893ddc10f1d468bc7e011d59703f70fe06a10161e426e602", size = 418572 }
wheels = [
{ url = "https://files.pythonhosted.org/packages/11/8a/f1c166f048df4b314d0d38e9530b7af516a16160873d724bb416084d6990/hypothesis-6.123.17-py3-none-any.whl", hash = "sha256:5c949fb44935e32c61c64abfcc3975eec41f8205ade2223073ba074c1e078ead", size = 480880 },
]
[[package]]
name = "identify"
version = "2.6.3"
@ -3142,7 +3156,7 @@ name = "ipykernel"
version = "6.29.5"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "appnope", marker = "sys_platform == 'darwin'" },
{ name = "appnope", marker = "platform_system == 'Darwin'" },
{ name = "comm" },
{ name = "debugpy" },
{ name = "ipython" },
@ -3233,7 +3247,7 @@ name = "jinxed"
version = "1.3.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "ansicon", marker = "sys_platform == 'win32'" },
{ name = "ansicon", marker = "platform_system == 'Windows'" },
]
sdist = { url = "https://files.pythonhosted.org/packages/20/d0/59b2b80e7a52d255f9e0ad040d2e826342d05580c4b1d7d7747cfb8db731/jinxed-1.3.0.tar.gz", hash = "sha256:1593124b18a41b7a3da3b078471442e51dbad3d77b4d4f2b0c26ab6f7d660dbf", size = 80981 }
wheels = [
@ -4040,6 +4054,7 @@ dev = [
{ name = "codeflash" },
{ name = "dictdiffer" },
{ name = "httpx" },
{ name = "hypothesis" },
{ name = "ipykernel" },
{ name = "mypy" },
{ name = "packaging" },
@ -4182,6 +4197,7 @@ dev = [
{ name = "codeflash", specifier = ">=0.8.4" },
{ name = "dictdiffer", specifier = ">=0.9.0" },
{ name = "httpx", specifier = ">=0.27.0" },
{ name = "hypothesis", specifier = ">=6.123.17" },
{ name = "ipykernel", specifier = ">=6.29.0" },
{ name = "mypy", specifier = ">=1.11.0" },
{ name = "packaging", specifier = ">=24.1,<25.0" },
@ -6148,7 +6164,7 @@ name = "portalocker"
version = "2.10.1"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "pywin32", marker = "sys_platform == 'win32'" },
{ name = "pywin32", marker = "platform_system == 'Windows'" },
]
sdist = { url = "https://files.pythonhosted.org/packages/ed/d3/c6c64067759e87af98cc668c1cc75171347d0f1577fab7ca3749134e3cd4/portalocker-2.10.1.tar.gz", hash = "sha256:ef1bf844e878ab08aee7e40184156e1151f228f103aa5c6bd0724cc330960f8f", size = 40891 }
wheels = [
@ -8645,19 +8661,19 @@ dependencies = [
{ name = "fsspec" },
{ name = "jinja2" },
{ name = "networkx" },
{ name = "nvidia-cublas-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
{ name = "nvidia-cuda-cupti-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
{ name = "nvidia-cuda-nvrtc-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
{ name = "nvidia-cuda-runtime-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
{ name = "nvidia-cudnn-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
{ name = "nvidia-cufft-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
{ name = "nvidia-curand-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
{ name = "nvidia-cusolver-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
{ name = "nvidia-cusparse-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
{ name = "nvidia-nccl-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
{ name = "nvidia-nvtx-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
{ name = "nvidia-cublas-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
{ name = "nvidia-cuda-cupti-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
{ name = "nvidia-cuda-nvrtc-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
{ name = "nvidia-cuda-runtime-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
{ name = "nvidia-cudnn-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
{ name = "nvidia-cufft-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
{ name = "nvidia-curand-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
{ name = "nvidia-cusolver-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
{ name = "nvidia-cusparse-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
{ name = "nvidia-nccl-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
{ name = "nvidia-nvtx-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" },
{ name = "sympy" },
{ name = "triton", marker = "python_full_version < '3.13' and platform_machine == 'x86_64' and sys_platform == 'linux'" },
{ name = "triton", marker = "python_full_version < '3.13' and platform_machine == 'x86_64' and platform_system == 'Linux'" },
{ name = "typing-extensions" },
]
wheels = [
@ -8698,7 +8714,7 @@ name = "tqdm"
version = "4.67.1"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "colorama", marker = "sys_platform == 'win32'" },
{ name = "colorama", marker = "platform_system == 'Windows'" },
]
sdist = { url = "https://files.pythonhosted.org/packages/a8/4b/29b4ef32e036bb34e4ab51796dd745cdba7ed47ad142a9f4a1eb8e0c744d/tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2", size = 169737 }
wheels = [