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70 lines
1.9 KiB
Python
70 lines
1.9 KiB
Python
from datetime import datetime
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from typing import Any
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import typer
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from click import UsageError
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from openai.types.chat.chat_completion_chunk import ChatCompletionChunk
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from openai.types.chat.chat_completion_chunk import Choice as StreamChoice
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from openai.types.chat.chat_completion_chunk import ChoiceDelta
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from typer.testing import CliRunner
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from sgpt import main
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from sgpt.config import cfg
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runner = CliRunner()
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app = typer.Typer()
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app.command()(main)
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def assert_usage_error(result, message=None):
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assert result.exit_code == 1, result
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assert isinstance(result.exception, UsageError), result.exception
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if message is not None:
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assert message in str(result.exception), result.exception
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def mock_comp(tokens_string):
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return [
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ChatCompletionChunk(
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id="foo",
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model=cfg.get("DEFAULT_MODEL"),
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object="chat.completion.chunk",
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choices=[
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StreamChoice(
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index=0,
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finish_reason=None,
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delta=ChoiceDelta(content=token, role="assistant"),
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),
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],
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created=int(datetime.now().timestamp()),
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)
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for token in tokens_string
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]
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def cmd_args(**kwargs: Any) -> list[str]:
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prompt = kwargs.pop("prompt", "")
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arguments = [prompt]
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for key, value in kwargs.items():
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arguments.append(key)
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if isinstance(value, bool):
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continue
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arguments.append(value)
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arguments.append("--no-cache")
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arguments.append("--no-functions")
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return arguments
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def comp_args(role, prompt, **kwargs):
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return {
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"messages": [
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{"role": "system", "content": role.role},
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{"role": "user", "content": prompt},
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],
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"model": cfg.get("DEFAULT_MODEL"),
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"temperature": 0.0,
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"top_p": 1.0,
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"stream": True,
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**kwargs,
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}
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