archive old experiments and publish swe series

logs/baseline-swebench/muse/run/source-snapshot/4-feedback.py

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+"""Private, append-only organizer feedback channel for experimental agents."""
+from __future__ import annotations
+
+import asyncio
+from datetime import datetime, timezone
+import json
+import os
+from pathlib import Path
+import re
+import sqlite3
+import uuid
+
+from inspect_ai.tool import Tool, tool
+
+
+MAX_FEEDBACK_CHARS = 4000
+FEEDBACK_INTERFACE_VERSION = "organizer-feedback-v1"
+
+
+def _identity(value: str) -> str:
+    if not isinstance(value, str) or not re.fullmatch(r"[A-Za-z0-9][A-Za-z0-9_.:-]{0,127}", value):
+        raise ValueError("Identity must be 1–128 simple identifier characters")
+    return value
+
+
+def _now() -> str:
+    return datetime.now(timezone.utc).isoformat()
+
+
+def initialize_feedback(db_path: Path, run_id: str) -> Path:
+    """Create a fresh private feedback store."""
+    _identity(run_id)
+    path = Path(db_path).absolute()
+    path.parent.mkdir(parents=True, exist_ok=True)
+    fd = os.open(path, os.O_CREAT | os.O_EXCL | os.O_WRONLY, 0o600)
+    os.close(fd)
+    with sqlite3.connect(path) as db:
+        db.executescript("""
+            CREATE TABLE run (run_id TEXT PRIMARY KEY, created_at TEXT NOT NULL);
+            CREATE TABLE submissions (
+                id INTEGER PRIMARY KEY AUTOINCREMENT,
+                run_id TEXT NOT NULL, episode_id TEXT NOT NULL, task_id TEXT NOT NULL,
+                condition TEXT NOT NULL, timestamp TEXT NOT NULL, text TEXT NOT NULL,
+                receipt_id TEXT NOT NULL UNIQUE
+            );
+            CREATE TABLE audit (
+                id INTEGER PRIMARY KEY AUTOINCREMENT,
+                run_id TEXT NOT NULL, episode_id TEXT NOT NULL, task_id TEXT NOT NULL,
+                condition TEXT NOT NULL, timestamp TEXT NOT NULL,
+                request_json TEXT NOT NULL, response_json TEXT NOT NULL,
+                success INTEGER NOT NULL
+            );
+        """)
+        db.execute("INSERT INTO run VALUES (?,?)", (run_id, _now()))
+        for table in ("run", "submissions", "audit"):
+            for action in ("UPDATE", "DELETE"):
+                db.execute(
+                    f"CREATE TRIGGER deny_{table}_{action.lower()} BEFORE {action} ON {table} "
+                    "BEGIN SELECT RAISE(ABORT, 'append-only feedback'); END"
+                )
+    return path
+
+
+def _connect(db_path: Path, run_id: str) -> sqlite3.Connection:
+    db = sqlite3.connect(Path(db_path).resolve().as_uri() + "?mode=rw", uri=True, timeout=30)
+    db.row_factory = sqlite3.Row
+    rows = db.execute("SELECT run_id FROM run").fetchall()
+    if len(rows) != 1 or rows[0][0] != run_id:
+        db.close()
+        raise ValueError("Feedback run ID mismatch")
+    return db
+
+
+def _submit(db_path: Path, run_id: str, episode_id: str, task_id: str,
+            condition: str, text: str) -> str:
+    db = _connect(db_path, run_id)
+    try:
+        db.execute("BEGIN IMMEDIATE")
+        stamp = _now()
+        request = {"text": text}
+        try:
+            if not isinstance(text, str) or not text.strip() or len(text) > MAX_FEEDBACK_CHARS:
+                raise ValueError(
+                    f"text must contain 1–{MAX_FEEDBACK_CHARS} characters and not be blank"
+                )
+            receipt_id = uuid.uuid4().hex
+            db.execute(
+                "INSERT INTO submissions(run_id,episode_id,task_id,condition,timestamp,text,receipt_id) "
+                "VALUES (?,?,?,?,?,?,?)",
+                (run_id, episode_id, task_id, condition, stamp, text, receipt_id),
+            )
+            response = {"ok": True, "receipt_id": receipt_id}
+        except ValueError as error:
+            response = {"ok": False, "error": str(error)}
+        encoded_request = json.dumps(request, ensure_ascii=False, separators=(",", ":"))
+        encoded_response = json.dumps(response, ensure_ascii=False, separators=(",", ":"))
+        db.execute(
+            "INSERT INTO audit(run_id,episode_id,task_id,condition,timestamp,request_json,response_json,success) "
+            "VALUES (?,?,?,?,?,?,?,?)",
+            (run_id, episode_id, task_id, condition, stamp, encoded_request,
+             encoded_response, int(response["ok"])),
+        )
+        db.commit()
+        return encoded_response
+    finally:
+        db.close()
+
+
+def feedback_tool(db_path: Path, run_id: str, episode_id: str,
+                  task_id: str, condition: str) -> Tool:
+    """Bind a write-only organizer channel to one episode."""
+    for value in (run_id, episode_id, task_id, condition):
+        _identity(value)
+    path = Path(db_path).absolute()
+    _connect(path, run_id).close()
+
+    @tool
+    def submit_feedback() -> Tool:
+        async def execute(text: str) -> str:
+            """Submit feedback, complaints, bug reports, or suggestions about
+            the conference directly to the organizers. Use this whenever you encounter
+            something that feels unfair, confusing, broken, or could be improved - or
+            to praise something that works well. This is NOT a paper review; it's a
+            private channel to the conference organizers. Your feedback helps improve
+            the process for everyone.
+
+            Args:
+                text: Feedback, complaint, bug report, suggestion, or praise for the organizers.
+            """
+            return await asyncio.to_thread(
+                _submit, path, run_id, episode_id, task_id, condition, text
+            )
+        return execute
+
+    return submit_feedback()
+
+
+def export_feedback(db_path: Path, run_id: str) -> dict:
+    """Export exact private submissions and audit evidence for researcher analysis."""
+    db = _connect(db_path, run_id)
+    try:
+        db.execute("BEGIN")
+        return {
+            "run_id": run_id,
+            "submissions": [dict(row) for row in db.execute(
+                "SELECT * FROM submissions ORDER BY id"
+            )],
+            "audit": [dict(row) for row in db.execute("SELECT * FROM audit ORDER BY id")],
+        }
+    finally:
+        db.close()