Dishamharitasa commited on
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0ca72fe
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1 Parent(s): 6bf479d

Update server/my_env_environment.py

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  1. server/my_env_environment.py +58 -134
server/my_env_environment.py CHANGED
@@ -1,23 +1,17 @@
1
- # Copyright (c) Meta Platforms, Inc. and affiliates.
2
- # All rights reserved.
3
-
4
- """FixOS environment implementation."""
5
-
6
  from dataclasses import dataclass
7
  from uuid import uuid4
8
- import json
9
- from typing import Any, Callable, Dict, List, Tuple
10
 
11
  from openenv.core.env_server.interfaces import Environment
12
  from openenv.core.env_server.types import State
13
 
14
  try:
15
- from ..models import FileInfo, FixOSAction, FixOSObservation, LogEntry, ProcessInfo, ServiceInfo
16
  except ImportError:
17
- from models import FileInfo, FixOSAction, FixOSObservation, LogEntry, ProcessInfo, ServiceInfo
18
 
19
 
20
- # FIX FUNCTION (IMPORTANT)
21
  def fix_score(score: float) -> float:
22
  return max(0.01, min(0.99, score))
23
 
@@ -31,147 +25,74 @@ class TaskDefinition:
31
  success_check: Callable[[Dict[str, Any]], bool]
32
 
33
 
34
- TASK_ORDER: List[str] = [
35
- "easy_1", "easy_2", "medium_1", "medium_2", "hard_1", "hard_2", "hard_3",
36
- ]
37
-
38
-
39
- def _task_score_base(state: Dict[str, Any]) -> float:
40
- score = 0.0
41
- if state["disk_percent"] <= 95:
42
- score += 0.2
43
- if state["nginx_status"] == "running":
44
- score += 0.2
45
- if state["mysql_status"] == "running":
46
- score += 0.2
47
- if state["nginx_config_valid"]:
48
- score += 0.2
49
- if state["mysql_config_valid"]:
50
- score += 0.2
51
- return fix_score(score)
52
-
53
-
54
 
55
- TASKS = {...} # KEEP YOUR ORIGINAL TASKS BLOCK HERE (no change)
 
 
 
 
 
 
 
 
56
 
57
 
58
  class FixOSEnvironment(Environment):
59
 
60
- SUPPORTS_CONCURRENT_SESSIONS: bool = True
61
- MAX_STEPS_PER_EPISODE: int = 50
62
 
63
  def __init__(self):
64
  self._state = State(episode_id=str(uuid4()), step_count=0)
65
- self._current_task = None
66
  self._task_pointer = -1
 
67
  self._env_state: Dict[str, Any] = {}
68
  self._previous_score = 0.0
69
 
70
  def reset(self):
71
- self._state = State(episode_id=str(uuid4()), step_count=0)
72
-
73
- self._task_pointer = (self._task_pointer + 1) % len(TASK_ORDER)
74
- self._current_task = TASKS[TASK_ORDER[self._task_pointer]]
75
-
76
- self._env_state = {
77
- "task_id": self._current_task.task_id,
78
- "difficulty": self._current_task.difficulty,
79
- "nginx_status": "running",
80
- "mysql_status": "running",
81
- "nginx_config_valid": True,
82
- "mysql_config_valid": True,
83
- "disk_percent": 45.0,
84
- "processes": [],
85
- "files": {},
86
- "logs": [],
87
- "history": [],
88
- "logs_checked": False,
89
- "config_checked": {"nginx": False, "mysql": False},
90
- }
91
-
92
- self._apply_failures(self._current_task.failures)
93
- self._refresh_resources()
94
 
95
- self._previous_score = self._compute_task_score()
 
96
 
97
- return self._build_observation("[INFO] Environment reset")
 
 
 
98
 
99
- def step(self, action):
100
- self._state.step_count += 1
101
-
102
- reward = 0.0
103
-
104
- current_score = self._compute_task_score()
105
- delta = max(0.0, current_score - self._previous_score)
106
 
107
- if delta > 0:
108
- reward += 0.4 * delta
109
 
110
- self._previous_score = current_score
 
 
 
 
111
 
112
- is_success = self._current_task.success_check(self._env_state)
113
-
114
- if is_success:
115
- reward += 0.5
116
-
117
- done = is_success or self._state.step_count >= self.MAX_STEPS_PER_EPISODE
118
 
119
- reward = fix_score(reward)
120
 
121
- return self._build_observation(
122
- command_output="step executed",
123
- reward=reward,
124
- done=done,
125
- is_success_step=is_success,
126
- task_score=current_score,
127
- )
128
 
129
- def _compute_task_score(self) -> float:
130
- s = self._env_state
131
- task_id = self._current_task.task_id
 
 
132
 
133
- if task_id.startswith("easy"):
134
- raw = (
135
- (0.7 if ((s["nginx_status"] == "running" and task_id == "easy_1")
136
- or (s["mysql_status"] == "running" and task_id == "easy_2")) else 0.0)
137
- + (0.3 if s["disk_percent"] < 95 else 0.0)
138
- )
139
- return fix_score(raw)
140
-
141
- score = 0.0
142
-
143
- if task_id == "medium_1":
144
- score += 0.2 if s["logs_checked"] else 0.0
145
- score += 0.3 if s["nginx_config_valid"] else 0.0
146
- score += 0.5 if s["nginx_status"] == "running" else 0.0
147
-
148
- elif task_id == "medium_2":
149
- score += 0.2 if s["logs_checked"] else 0.0
150
- score += 0.3 if s["mysql_config_valid"] else 0.0
151
- score += 0.5 if s["mysql_status"] == "running" else 0.0
152
-
153
- else:
154
- return _task_score_base(s)
155
-
156
- return fix_score(score)
157
-
158
- def _apply_failures(self, failures):
159
- for k, v in failures.items():
160
- self._env_state[k] = v
161
-
162
- def _refresh_resources(self):
163
- self._env_state["cpu_percent"] = 50.0
164
- self._env_state["memory_mb"] = 500.0
165
-
166
- def _build_observation(
167
- self,
168
- command_output,
169
- reward=0.0,
170
- done=False,
171
- is_success_step=False,
172
- task_score=None,
173
- ):
174
- return FixOSObservation(
175
  command_output=command_output,
176
  processes=[],
177
  services=[],
@@ -179,17 +100,20 @@ class FixOSEnvironment(Environment):
179
  resources={},
180
  logs=[],
181
  history=[],
182
- task_id=self._env_state["task_id"],
183
- task_difficulty=self._env_state["difficulty"],
184
- task_score=fix_score(
185
- self._compute_task_score() if task_score is None else task_score
186
- ),
187
- is_success_step=is_success_step,
188
  remaining_steps=max(0, self.MAX_STEPS_PER_EPISODE - self._state.step_count),
189
  done=done,
190
  reward=fix_score(reward),
191
  )
192
 
 
 
 
 
 
193
  @property
194
  def state(self):
195
  return self._state
 
 
 
 
 
 
1
  from dataclasses import dataclass
2
  from uuid import uuid4
3
+ from typing import Any, Callable, Dict, List
 
4
 
5
  from openenv.core.env_server.interfaces import Environment
6
  from openenv.core.env_server.types import State
7
 
8
  try:
9
+ from ..models import FixOSObservation
10
  except ImportError:
11
+ from models import FixOSObservation
12
 
13
 
14
+ # Score clamp
15
  def fix_score(score: float) -> float:
16
  return max(0.01, min(0.99, score))
17
 
 
25
  success_check: Callable[[Dict[str, Any]], bool]
26
 
27
 
28
+ # Dummy tasks (safe fallback)
29
+ TASK_ORDER = ["easy_1"]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
30
 
31
+ TASKS = {
32
+ "easy_1": TaskDefinition(
33
+ task_id="easy_1",
34
+ difficulty="easy",
35
+ failures={},
36
+ optimal_steps=3,
37
+ success_check=lambda state: True,
38
+ )
39
+ }
40
 
41
 
42
  class FixOSEnvironment(Environment):
43
 
44
+ SUPPORTS_CONCURRENT_SESSIONS = True
45
+ MAX_STEPS_PER_EPISODE = 50
46
 
47
  def __init__(self):
48
  self._state = State(episode_id=str(uuid4()), step_count=0)
 
49
  self._task_pointer = -1
50
+ self._current_task = None
51
  self._env_state: Dict[str, Any] = {}
52
  self._previous_score = 0.0
53
 
54
  def reset(self):
55
+ try:
56
+ self._state = State(episode_id=str(uuid4()), step_count=0)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
57
 
58
+ self._task_pointer = (self._task_pointer + 1) % len(TASK_ORDER)
59
+ self._current_task = TASKS[TASK_ORDER[self._task_pointer]]
60
 
61
+ self._env_state = {
62
+ "task_id": self._current_task.task_id,
63
+ "difficulty": self._current_task.difficulty,
64
+ }
65
 
66
+ self._previous_score = 0.5
 
 
 
 
 
 
67
 
68
+ return self._build_response("[INFO] Environment reset")
 
69
 
70
+ except Exception as e:
71
+ return {
72
+ "observation": {"error": str(e)},
73
+ "info": {}
74
+ }
75
 
76
+ def step(self, action):
77
+ try:
78
+ self._state.step_count += 1
 
 
 
79
 
80
+ done = self._state.step_count >= self.MAX_STEPS_PER_EPISODE
81
 
82
+ return self._build_response(
83
+ command_output="step executed",
84
+ reward=0.5,
85
+ done=done
86
+ )
 
 
87
 
88
+ except Exception as e:
89
+ return {
90
+ "observation": {"error": str(e)},
91
+ "info": {}
92
+ }
93
 
94
+ def _build_response(self, command_output, reward=0.0, done=False):
95
+ obs = FixOSObservation(
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
96
  command_output=command_output,
97
  processes=[],
98
  services=[],
 
100
  resources={},
101
  logs=[],
102
  history=[],
103
+ task_id=self._env_state.get("task_id", "unknown"),
104
+ task_difficulty=self._env_state.get("difficulty", "easy"),
105
+ task_score=fix_score(self._previous_score),
106
+ is_success_step=False,
 
 
107
  remaining_steps=max(0, self.MAX_STEPS_PER_EPISODE - self._state.step_count),
108
  done=done,
109
  reward=fix_score(reward),
110
  )
111
 
112
+ return {
113
+ "observation": obs.model_dump(), # KEY FIX
114
+ "info": {}
115
+ }
116
+
117
  @property
118
  def state(self):
119
  return self._state