mirror of
https://github.com/hwchase17/langchain.git
synced 2025-09-29 15:28:54 +00:00
a0c2281540
```python
"""python scripts/update_mypy_ruff.py"""
import glob
import tomllib
from pathlib import Path
import toml
import subprocess
import re
ROOT_DIR = Path(__file__).parents[1]
def main():
for path in glob.glob(str(ROOT_DIR / "libs/**/pyproject.toml"), recursive=True):
print(path)
with open(path, "rb") as f:
pyproject = tomllib.load(f)
try:
pyproject["tool"]["poetry"]["group"]["typing"]["dependencies"]["mypy"] = (
"^1.10"
)
pyproject["tool"]["poetry"]["group"]["lint"]["dependencies"]["ruff"] = (
"^0.5"
)
except KeyError:
continue
with open(path, "w") as f:
toml.dump(pyproject, f)
cwd = "/".join(path.split("/")[:-1])
completed = subprocess.run(
"poetry lock --no-update; poetry install --with typing; poetry run mypy . --no-color",
cwd=cwd,
shell=True,
capture_output=True,
text=True,
)
logs = completed.stdout.split("\n")
to_ignore = {}
for l in logs:
if re.match("^(.*)\:(\d+)\: error:.*\[(.*)\]", l):
path, line_no, error_type = re.match(
"^(.*)\:(\d+)\: error:.*\[(.*)\]", l
).groups()
if (path, line_no) in to_ignore:
to_ignore[(path, line_no)].append(error_type)
else:
to_ignore[(path, line_no)] = [error_type]
print(len(to_ignore))
for (error_path, line_no), error_types in to_ignore.items():
all_errors = ", ".join(error_types)
full_path = f"{cwd}/{error_path}"
try:
with open(full_path, "r") as f:
file_lines = f.readlines()
except FileNotFoundError:
continue
file_lines[int(line_no) - 1] = (
file_lines[int(line_no) - 1][:-1] + f" # type: ignore[{all_errors}]\n"
)
with open(full_path, "w") as f:
f.write("".join(file_lines))
subprocess.run(
"poetry run ruff format .; poetry run ruff --select I --fix .",
cwd=cwd,
shell=True,
capture_output=True,
text=True,
)
if __name__ == "__main__":
main()
```
121 lines
5.3 KiB
Python
121 lines
5.3 KiB
Python
"""Test CallbackManager."""
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from unittest.mock import patch
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import pytest
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from langchain_core.callbacks.manager import CallbackManager, trace_as_chain_group
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from langchain_core.outputs import LLMResult
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from langchain_core.tracers.langchain import LangChainTracer, wait_for_all_tracers
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from langchain_community.callbacks import get_openai_callback
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from langchain_community.callbacks.manager import get_bedrock_anthropic_callback
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from langchain_community.llms.openai import BaseOpenAI
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def test_callback_manager_configure_context_vars(
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monkeypatch: pytest.MonkeyPatch,
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) -> None:
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"""Test callback manager configuration."""
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monkeypatch.setenv("LANGCHAIN_TRACING_V2", "true")
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monkeypatch.setenv("LANGCHAIN_TRACING", "false")
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monkeypatch.setenv("LANGCHAIN_API_KEY", "foo")
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with patch.object(LangChainTracer, "_update_run_single"):
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with patch.object(LangChainTracer, "_persist_run_single"):
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with trace_as_chain_group("test") as group_manager:
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assert len(group_manager.handlers) == 1
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tracer = group_manager.handlers[0]
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assert isinstance(tracer, LangChainTracer)
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with get_openai_callback() as cb:
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# This is a new empty callback handler
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assert cb.successful_requests == 0
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assert cb.total_tokens == 0
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# configure adds this openai cb but doesn't modify the group manager
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mngr = CallbackManager.configure(group_manager)
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assert mngr.handlers == [tracer, cb]
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assert group_manager.handlers == [tracer]
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response = LLMResult(
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generations=[],
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llm_output={
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"token_usage": {
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"prompt_tokens": 2,
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"completion_tokens": 1,
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"total_tokens": 3,
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},
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"model_name": BaseOpenAI.__fields__["model_name"].default,
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},
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)
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mngr.on_llm_start({}, ["prompt"])[0].on_llm_end(response)
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# The callback handler has been updated
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assert cb.successful_requests == 1
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assert cb.total_tokens == 3
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assert cb.prompt_tokens == 2
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assert cb.completion_tokens == 1
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assert cb.total_cost > 0
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with get_openai_callback() as cb:
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# This is a new empty callback handler
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assert cb.successful_requests == 0
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assert cb.total_tokens == 0
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# configure adds this openai cb but doesn't modify the group manager
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mngr = CallbackManager.configure(group_manager)
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assert mngr.handlers == [tracer, cb]
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assert group_manager.handlers == [tracer]
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response = LLMResult(
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generations=[],
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llm_output={
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"token_usage": {
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"prompt_tokens": 2,
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"completion_tokens": 1,
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"total_tokens": 3,
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},
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"model_name": BaseOpenAI.__fields__["model_name"].default,
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},
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)
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mngr.on_llm_start({}, ["prompt"])[0].on_llm_end(response)
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# The callback handler has been updated
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assert cb.successful_requests == 1
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assert cb.total_tokens == 3
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assert cb.prompt_tokens == 2
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assert cb.completion_tokens == 1
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assert cb.total_cost > 0
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with get_bedrock_anthropic_callback() as cb:
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# This is a new empty callback handler
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assert cb.successful_requests == 0
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assert cb.total_tokens == 0
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# configure adds this bedrock anthropic cb,
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# but doesn't modify the group manager
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mngr = CallbackManager.configure(group_manager)
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assert mngr.handlers == [tracer, cb]
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assert group_manager.handlers == [tracer]
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response = LLMResult(
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generations=[],
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llm_output={
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"usage": {
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"prompt_tokens": 2,
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"completion_tokens": 1,
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"total_tokens": 3,
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},
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"model_id": "anthropic.claude-instant-v1",
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},
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)
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mngr.on_llm_start({}, ["prompt"])[0].on_llm_end(response)
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# The callback handler has been updated
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assert cb.successful_requests == 1
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assert cb.total_tokens == 3
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assert cb.prompt_tokens == 2
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assert cb.completion_tokens == 1
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assert cb.total_cost > 0
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wait_for_all_tracers()
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assert LangChainTracer._persist_run_single.call_count == 1 # type: ignore
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