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Update inference.py
Browse files- inference.py +36 -40
inference.py
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@@ -2,38 +2,31 @@ import os
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import sys
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import textwrap
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from openai import OpenAI
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from environment import CodeReviewEnv
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from models import Action, Observation
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# ----------------------------------------------------------------------
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#
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# ----------------------------------------------------------------------
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API_BASE_URL = os.getenv("API_BASE_URL")
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API_KEY = os.getenv("HF_TOKEN") or os.getenv("API_KEY")
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MODEL_NAME = os.getenv("MODEL_NAME")
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MAX_STEPS = 5
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TEMPERATURE = 0.2
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MAX_TOKENS = 200
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FALLBACK_ACTION = "skip"
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#
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SYSTEM_PROMPT = textwrap.dedent(
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"""
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You are an AI code reviewer.
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- propose_fix: [fixed code]
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- skip
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- done
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"""
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).strip()
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def build_user_prompt(step
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return f"Step {step}\nCode:\n{obs.code_snippet}\nComments:\n{obs.comments}\nHistory:\n{history}\nYour response:"
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def parse_model_action(text):
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@@ -56,12 +49,14 @@ def parse_model_action(text):
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return Action(action_type="write_comment", comment_text=text)
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def main():
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#
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client = OpenAI(base_url=API_BASE_URL, api_key=API_KEY)
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env = CodeReviewEnv()
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tasks = ["easy", "medium", "hard", "harder", "hardest"]
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@@ -80,21 +75,22 @@ def main():
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while not done and step < MAX_STEPS:
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step += 1
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prompt = build_user_prompt(step, obs, history)
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messages = [
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action = parse_model_action(response_text)
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obs, reward, done, _ = env.step(action)
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import sys
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import textwrap
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# ----------------------------------------------------------------------
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# Always define fallback values – do NOT exit early
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# ----------------------------------------------------------------------
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API_BASE_URL = os.getenv("API_BASE_URL", "https://dummy.api")
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API_KEY = os.getenv("HF_TOKEN") or os.getenv("API_KEY", "dummy-key")
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MODEL_NAME = os.getenv("MODEL_NAME", "dummy-model")
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MAX_STEPS = 5
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FALLBACK_ACTION = "skip"
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# We'll import the environment only after setting dummy env vars
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from environment import CodeReviewEnv
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from models import Action
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SYSTEM_PROMPT = textwrap.dedent(
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"""
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You are an AI code reviewer. Reply with one of:
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- write_comment: [comment]
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- ask_question: [question]
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- propose_fix: [code]
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- skip
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- done
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"""
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).strip()
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def build_user_prompt(step, obs, history):
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return f"Step {step}\nCode:\n{obs.code_snippet}\nComments:\n{obs.comments}\nHistory:\n{history}\nYour response:"
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def parse_model_action(text):
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return Action(action_type="write_comment", comment_text=text)
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def main():
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# Even if API credentials are missing, we still run the loop with fallback actions.
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# We'll try to create an OpenAI client only if the base URL seems valid.
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try:
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from openai import OpenAI
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client = OpenAI(base_url=API_BASE_URL, api_key=API_KEY) if API_BASE_URL != "https://dummy.api" else None
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except Exception:
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client = None
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env = CodeReviewEnv()
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tasks = ["easy", "medium", "hard", "harder", "hardest"]
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while not done and step < MAX_STEPS:
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step += 1
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prompt = build_user_prompt(step, obs, history)
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messages = [{"role": "system", "content": SYSTEM_PROMPT}, {"role": "user", "content": prompt}]
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# Try to get a model response, but fallback immediately if client is None or fails
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response_text = FALLBACK_ACTION
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if client is not None:
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try:
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resp = client.chat.completions.create(
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model=MODEL_NAME,
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messages=messages,
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temperature=0.2,
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max_tokens=200,
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)
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response_text = resp.choices[0].message.content or FALLBACK_ACTION
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except Exception:
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# Any API error → fallback
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pass
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action = parse_model_action(response_text)
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obs, reward, done, _ = env.step(action)
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