Spaces:
Sleeping
Sleeping
hugging face runtime error fix
Browse files- Dockerfile +2 -0
- app_runtime.py +141 -0
- pyproject.toml +1 -1
- server.py +2 -2
- server/app.py +2 -143
Dockerfile
CHANGED
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@@ -12,8 +12,10 @@ COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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# Copy source
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COPY env.py .
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COPY server.py .
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COPY tasks/ tasks/
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COPY openenv.yaml .
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RUN pip install --no-cache-dir -r requirements.txt
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# Copy source
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COPY app_runtime.py .
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COPY env.py .
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COPY server.py .
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COPY server/ server/
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COPY tasks/ tasks/
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COPY openenv.yaml .
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app_runtime.py
ADDED
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@@ -0,0 +1,141 @@
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"""Shared FastAPI application module for source and packaged entry points."""
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from __future__ import annotations
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import os
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from typing import Any, Dict, Optional
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from fastapi import FastAPI, HTTPException, Query
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from fastapi.middleware.cors import CORSMiddleware
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from pydantic import BaseModel
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from env import Action, CodeReviewEnv, Observation
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app = FastAPI(
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title="CodeReviewEnv",
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description="OpenEnv environment for AI-driven code review and bug triage",
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version="1.0.0",
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)
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_methods=["*"],
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allow_headers=["*"],
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)
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_envs: Dict[str, CodeReviewEnv] = {}
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def _get_env(task: str) -> CodeReviewEnv:
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if task not in _envs:
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_envs[task] = CodeReviewEnv(task_id=task)
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return _envs[task]
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class StepResult(BaseModel):
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observation: Observation
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reward: float
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done: bool
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info: Dict[str, Any]
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class GradeResult(BaseModel):
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task: str
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score: float
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found_issues: list
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false_positives: int
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final_decision: Optional[str]
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steps_taken: int
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@app.post("/reset", response_model=Observation)
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def reset(task: str = Query("easy", description="Task difficulty: easy | medium | hard")):
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"""Reset the environment and return the initial observation."""
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env = _get_env(task)
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try:
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obs = env.reset()
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except ValueError as exc:
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raise HTTPException(status_code=400, detail=str(exc)) from exc
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return obs
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@app.post("/step", response_model=StepResult)
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def step(
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action: Action,
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task: str = Query("easy", description="Task difficulty: easy | medium | hard"),
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):
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"""Execute one action and return observation, reward, done, info."""
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env = _get_env(task)
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if env._state is None:
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raise HTTPException(status_code=400, detail="Call /reset first.")
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try:
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obs, reward, done, info = env.step(action)
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except RuntimeError as exc:
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raise HTTPException(status_code=400, detail=str(exc)) from exc
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return StepResult(observation=obs, reward=reward, done=done, info=info)
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@app.get("/state")
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def state(task: str = Query("easy")):
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"""Return the full internal episode state."""
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env = _get_env(task)
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return env.state()
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@app.get("/tasks")
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def list_tasks():
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"""List available task IDs with descriptions."""
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return {
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"tasks": [
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{
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"id": "easy",
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"difficulty": "easy",
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"description": "Find one obvious null-dereference bug in a user service.",
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"num_issues": 1,
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},
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{
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"id": "medium",
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"difficulty": "medium",
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"description": "Find an off-by-one boundary bug AND a missing thread-safety lock in a rate limiter.",
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"num_issues": 2,
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},
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{
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"id": "hard",
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"difficulty": "hard",
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"description": "Find a SQL injection vulnerability AND an unbounded memory leak in a report service.",
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"num_issues": 2,
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},
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]
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}
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@app.post("/grade", response_model=GradeResult)
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def grade(task: str = Query("easy")):
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"""Compute normalised 0-1 score for the current (or just-finished) episode."""
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env = _get_env(task)
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if env._state is None:
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raise HTTPException(status_code=400, detail="No episode to grade. Call /reset first.")
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score = env.grade()
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state_obj = env._state
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return GradeResult(
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task=task,
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score=score,
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found_issues=state_obj.found_issue_ids,
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false_positives=state_obj.false_positives,
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final_decision=state_obj.final_decision,
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steps_taken=state_obj.step,
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)
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@app.get("/health")
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def health():
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return {"status": "ok", "env": "CodeReviewEnv", "version": "1.0.0"}
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def main() -> None:
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import uvicorn
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port = int(os.getenv("PORT", 7860))
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uvicorn.run(app, host="0.0.0.0", port=port)
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pyproject.toml
CHANGED
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@@ -31,7 +31,7 @@ test = [
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]
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[tool.setuptools]
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py-modules = ["env", "inference"]
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[tool.setuptools.packages.find]
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include = ["server*", "tasks*"]
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]
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[tool.setuptools]
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py-modules = ["app_runtime", "env", "inference"]
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[tool.setuptools.packages.find]
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include = ["server*", "tasks*"]
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server.py
CHANGED
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@@ -1,6 +1,6 @@
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"""
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from
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if __name__ == "__main__":
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"""Source entry point used by Docker and local `python server.py` runs."""
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from app_runtime import app, main
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if __name__ == "__main__":
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server/app.py
CHANGED
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@@ -1,144 +1,3 @@
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"""
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from
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import os
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from typing import Any, Dict, Optional
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-
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from fastapi import FastAPI, HTTPException, Query
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-
from fastapi.middleware.cors import CORSMiddleware
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-
from pydantic import BaseModel
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-
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from env import Action, CodeReviewEnv, Observation
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-
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app = FastAPI(
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title="CodeReviewEnv",
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-
description="OpenEnv environment for AI-driven code review and bug triage",
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version="1.0.0",
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)
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-
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_methods=["*"],
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allow_headers=["*"],
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)
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-
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_envs: Dict[str, CodeReviewEnv] = {}
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-
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-
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def _get_env(task: str) -> CodeReviewEnv:
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if task not in _envs:
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_envs[task] = CodeReviewEnv(task_id=task)
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return _envs[task]
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-
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-
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class StepResult(BaseModel):
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observation: Observation
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reward: float
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done: bool
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info: Dict[str, Any]
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-
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-
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class GradeResult(BaseModel):
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task: str
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score: float
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found_issues: list
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false_positives: int
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final_decision: Optional[str]
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steps_taken: int
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-
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-
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@app.post("/reset", response_model=Observation)
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def reset(task: str = Query("easy", description="Task difficulty: easy | medium | hard")):
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"""Reset the environment and return the initial observation."""
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env = _get_env(task)
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try:
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obs = env.reset()
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except ValueError as exc:
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raise HTTPException(status_code=400, detail=str(exc)) from exc
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return obs
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-
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@app.post("/step", response_model=StepResult)
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def step(
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action: Action,
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task: str = Query("easy", description="Task difficulty: easy | medium | hard"),
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):
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"""Execute one action and return observation, reward, done, info."""
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env = _get_env(task)
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if env._state is None:
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raise HTTPException(status_code=400, detail="Call /reset first.")
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try:
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obs, reward, done, info = env.step(action)
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except RuntimeError as exc:
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raise HTTPException(status_code=400, detail=str(exc)) from exc
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return StepResult(observation=obs, reward=reward, done=done, info=info)
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-
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-
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@app.get("/state")
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def state(task: str = Query("easy")):
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"""Return the full internal episode state."""
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env = _get_env(task)
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return env.state()
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-
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@app.get("/tasks")
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def list_tasks():
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"""List available task IDs with descriptions."""
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return {
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"tasks": [
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{
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"id": "easy",
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"difficulty": "easy",
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"description": "Find one obvious null-dereference bug in a user service.",
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"num_issues": 1,
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},
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{
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"id": "medium",
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"difficulty": "medium",
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"description": "Find an off-by-one boundary bug AND a missing thread-safety lock in a rate limiter.",
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"num_issues": 2,
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},
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{
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"id": "hard",
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"difficulty": "hard",
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"description": "Find a SQL injection vulnerability AND an unbounded memory leak in a report service.",
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"num_issues": 2,
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},
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]
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}
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@app.post("/grade", response_model=GradeResult)
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def grade(task: str = Query("easy")):
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"""Compute normalised 0-1 score for the current (or just-finished) episode."""
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env = _get_env(task)
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if env._state is None:
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raise HTTPException(status_code=400, detail="No episode to grade. Call /reset first.")
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score = env.grade()
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state_obj = env._state
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return GradeResult(
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task=task,
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score=score,
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found_issues=state_obj.found_issue_ids,
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false_positives=state_obj.false_positives,
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final_decision=state_obj.final_decision,
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steps_taken=state_obj.step,
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)
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@app.get("/health")
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def health():
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return {"status": "ok", "env": "CodeReviewEnv", "version": "1.0.0"}
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def main() -> None:
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import uvicorn
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port = int(os.getenv("PORT", 7860))
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uvicorn.run(app, host="0.0.0.0", port=port)
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-
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if __name__ == "__main__":
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main()
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"""Packaged server entry point required for multi-mode deployment."""
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from app_runtime import app, main
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