py : type-check all Python scripts with Pyright (#8341)
* py : type-check all Python scripts with Pyright * server-tests : use trailing slash in openai base_url * server-tests : add more type annotations * server-tests : strip "chat" from base_url in oai_chat_completions * server-tests : model metadata is a dict * ci : disable pip cache in type-check workflow The cache is not shared between branches, and it's 250MB in size, so it would become quite a big part of the 10GB cache limit of the repo. * py : fix new type errors from master branch * tests : fix test-tokenizer-random.py Apparently, gcc applies optimisations even when pre-processing, which confuses pycparser. * ci : only show warnings and errors in python type-check The "information" level otherwise has entries from 'examples/pydantic_models_to_grammar.py', which could be confusing for someone trying to figure out what failed, considering that these messages can safely be ignored even though they look like errors.
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33 changed files with 297 additions and 173 deletions
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@ -1,3 +1,5 @@
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from __future__ import annotations
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import argparse
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import json
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import os
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@ -59,10 +61,11 @@ def main(args_in: list[str] | None = None) -> None:
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sys.exit(1)
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# start the benchmark
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iterations = 0
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data = {}
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try:
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start_benchmark(args)
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iterations = 0
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with open("results.github.env", 'w') as github_env:
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# parse output
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with open('k6-results.json', 'r') as bench_results:
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@ -129,7 +132,7 @@ def main(args_in: list[str] | None = None) -> None:
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timestamps, metric_values = zip(*values)
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metric_values = [float(value) for value in metric_values]
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prometheus_metrics[metric] = metric_values
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timestamps_dt = [datetime.fromtimestamp(int(ts)) for ts in timestamps]
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timestamps_dt = [str(datetime.fromtimestamp(int(ts))) for ts in timestamps]
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plt.figure(figsize=(16, 10), dpi=80)
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plt.plot(timestamps_dt, metric_values, label=metric)
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plt.xticks(rotation=0, fontsize=14, horizontalalignment='center', alpha=.7)
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plt.close()
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# Mermaid format in case images upload failed
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with (open(f"{metric}.mermaid", 'w') as mermaid_f):
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with open(f"{metric}.mermaid", 'w') as mermaid_f:
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mermaid = (
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f"""---
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config:
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@ -278,7 +281,7 @@ def start_server_background(args):
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}
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server_process = subprocess.Popen(
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args,
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**pkwargs)
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**pkwargs) # pyright: ignore[reportArgumentType, reportCallIssue]
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def server_log(in_stream, out_stream):
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for line in iter(in_stream.readline, b''):
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