126 lines
3.9 KiB
Python
126 lines
3.9 KiB
Python
"""
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python3 -m unittest test_json_constrained.TestJSONConstrained.test_json_generate
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"""
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import json
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import unittest
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from concurrent.futures import ThreadPoolExecutor
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import openai
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import requests
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from sglang.srt.utils import kill_child_process
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from sglang.test.test_utils import (
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DEFAULT_MODEL_NAME_FOR_TEST,
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DEFAULT_URL_FOR_TEST,
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popen_launch_server,
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)
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class TestJSONConstrained(unittest.TestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = DEFAULT_MODEL_NAME_FOR_TEST
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cls.base_url = DEFAULT_URL_FOR_TEST
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cls.json_schema = json.dumps(
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{
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"type": "object",
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"properties": {
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"name": {"type": "string", "pattern": "^[\\w]+$"},
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"population": {"type": "integer"},
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},
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"required": ["name", "population"],
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}
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)
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cls.process = popen_launch_server(
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cls.model,
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cls.base_url,
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timeout=300,
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other_args=["--max-running-requests", "10"],
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)
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@classmethod
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def tearDownClass(cls):
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kill_child_process(cls.process.pid, include_self=True)
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def run_decode(self, json_schema, return_logprob=False, top_logprobs_num=0, n=1):
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response = requests.post(
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self.base_url + "/generate",
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json={
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"text": "The capital of France is",
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"sampling_params": {
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"temperature": 0 if n == 1 else 0.5,
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"max_new_tokens": 128,
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"n": n,
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"stop_token_ids": [119690],
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"json_schema": json_schema,
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},
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"stream": False,
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"return_logprob": return_logprob,
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"top_logprobs_num": top_logprobs_num,
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"logprob_start_len": 0,
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},
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)
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ret = response.json()
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print(json.dumps(ret))
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print("=" * 100)
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if not json_schema:
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return
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# Make sure the json output is valid
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try:
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js_obj = json.loads(ret["text"])
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except (TypeError, json.decoder.JSONDecodeError):
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raise
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self.assertIsInstance(js_obj["name"], str)
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self.assertIsInstance(js_obj["population"], int)
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# Make sure jump forward is triggered
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# NOTE: This is skipped because overlap scheduler does not support jump forward
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# self.assertGreater(
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# ret["meta_info"]["completion_tokens"],
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# ret["meta_info"]["completion_tokens_wo_jump_forward"],
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# )
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def test_json_generate(self):
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self.run_decode(json_schema=self.json_schema)
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def test_json_openai(self):
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client = openai.Client(api_key="EMPTY", base_url=f"{self.base_url}/v1")
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response = client.chat.completions.create(
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model=self.model,
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messages=[
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{"role": "system", "content": "You are a helpful AI assistant"},
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{"role": "user", "content": "Introduce the capital of France."},
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],
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temperature=0,
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max_tokens=128,
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response_format={
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"type": "json_schema",
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"json_schema": {"name": "foo", "schema": json.loads(self.json_schema)},
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},
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)
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text = response.choices[0].message.content
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try:
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js_obj = json.loads(text)
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except (TypeError, json.decoder.JSONDecodeError):
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print("JSONDecodeError", text)
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raise
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self.assertIsInstance(js_obj["name"], str)
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self.assertIsInstance(js_obj["population"], int)
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def test_mix_json_and_other(self):
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json_schemas = [None, None, self.json_schema, self.json_schema] * 10
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with ThreadPoolExecutor(len(json_schemas)) as executor:
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list(executor.map(self.run_decode, json_schemas))
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if __name__ == "__main__":
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unittest.main()
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