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1939cbc | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 | from __future__ import annotations
from dataclasses import dataclass
from typing import Any, Dict, List, Tuple
from environment.env import CodeReviewEnv
@dataclass
class TemplateAction:
name: str
payload: Dict[str, Any]
class TrainingEnv:
"""Thin wrapper around CodeReviewEnv for policy training experiments."""
def __init__(self, task_ids: List[str] | None = None, max_steps: int = 5, seed: int = 42):
self.env = CodeReviewEnv()
self.max_steps = max_steps
self.seed = seed
self.task_ids = task_ids or ["bug_detection_easy_1"]
self.task_cursor = 0
def next_task(self) -> str:
task_id = self.task_ids[self.task_cursor % len(self.task_ids)]
self.task_cursor += 1
return task_id
def run_episode(self, action_plan: List[TemplateAction]) -> Tuple[float, float, int]:
task_id = self.next_task()
self.env.max_steps = self.max_steps
obs = self.env.reset(task_id=task_id, seed=self.seed)
done = False
total_reward = 0.0
steps = 0
for action in action_plan:
if done:
break
obs, reward, done, _ = self.env.step(action.payload)
total_reward += float(reward)
steps += 1
task_score = float(self.env.get_task_score())
return total_reward, task_score, steps
def default_action_catalog() -> Dict[str, List[TemplateAction]]:
return {
"phase_1": [
TemplateAction(
"good_comment",
{
"action_type": "add_comment",
"comments": [
{
"line_number": 3,
"content": "Potential division_by_zero or similar correctness issue",
"is_issue": True,
"severity": "high",
}
],
"suggestions": [],
},
),
TemplateAction(
"weak_comment",
{
"action_type": "add_comment",
"comments": [
{
"line_number": 1,
"content": "maybe issue",
"is_issue": True,
"severity": "low",
}
],
"suggestions": [],
},
),
],
"phase_2": [
TemplateAction(
"good_fix",
{
"action_type": "suggest_fix",
"comments": [],
"suggestions": [
{
"original_line": 3,
"suggested_code": "return total / len(numbers) if numbers else 0",
"explanation": "guard empty input",
}
],
},
),
TemplateAction(
"bad_fix",
{
"action_type": "suggest_fix",
"comments": [],
"suggestions": [
{
"original_line": 1,
"suggested_code": "pass",
"explanation": "placeholder",
}
],
},
),
],
"phase_3": [
TemplateAction(
"request_changes",
{
"action_type": "request_changes",
"comments": [],
"suggestions": [],
"final_decision": "changes_requested",
},
),
TemplateAction(
"approve",
{
"action_type": "approve",
"comments": [],
"suggestions": [],
"final_decision": "approved",
},
),
],
}
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