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101 lines
4.0 KiB
Python
101 lines
4.0 KiB
Python
import json
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import logging
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import os
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import re
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from backend.config.paths import SESSIONS_DIR
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logger = logging.getLogger(__name__)
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def _get_branch_messages(session) -> list:
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"""Return the linear message list for the active branch, walking the branch tree."""
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branch_id = session.active_branch_id or "main"
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branch = session.branches.get(branch_id)
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if not branch or not branch.fork_point_message_id:
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return [m for m in session.messages if m.branch_id == "main" or m.branch_id == branch_id]
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segments = []
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cur = branch
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cur_id = branch_id
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visited = set()
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while cur and cur.fork_point_message_id:
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if cur_id in visited:
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break
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visited.add(cur_id)
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segments.insert(0, {"branch_id": cur_id, "up_to": cur.fork_point_message_id})
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cur_id = cur.parent_branch_id or "main"
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cur = session.branches.get(cur_id)
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segments.insert(0, {"branch_id": cur_id, "up_to": None})
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result = []
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for i, seg in enumerate(segments):
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fork_msg_id = seg["up_to"]
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if fork_msg_id:
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fork_idx = next((j for j, m in enumerate(session.messages) if m.id == fork_msg_id), len(session.messages))
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result.extend(m for m in session.messages[:fork_idx] if m.branch_id == seg["branch_id"])
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else:
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next_fork = segments[i + 1]["up_to"] if i + 1 < len(segments) else None
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if next_fork:
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fork_idx = next((j for j, m in enumerate(session.messages) if m.id == next_fork), len(session.messages))
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result.extend(m for m in session.messages[:fork_idx] if m.branch_id == seg["branch_id"])
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else:
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result.extend(m for m in session.messages if m.branch_id == seg["branch_id"])
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if not any(m.branch_id == branch_id for m in result):
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result.extend(m for m in session.messages if m.branch_id == branch_id)
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return result
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def _build_history_prefix(messages) -> str:
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"""Format branch messages into a conversation summary for context injection."""
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lines = []
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for m in messages:
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if m.role not in ("user", "assistant") or getattr(m, "hidden", False):
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continue
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text = m.content if isinstance(m.content, str) else str(m.content)
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label = "User" if m.role == "user" else "Assistant"
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lines.append(f"{label}: {text}")
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if not lines:
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return ""
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return "<prior_conversation>\n" + "\n".join(lines) + "\n</prior_conversation>"
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def _truncate_large_tool_result(content: object, session_id: str, msg_id: str, max_bytes: int = 50_000) -> tuple[object, str | None]:
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"""Spill a large tool_result body to disk, return a truncated
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inline replacement plus the on-disk path (or None if untouched).
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Storage is session-scoped under data/sessions/<session_id>/blobs/,
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never honors caller-supplied paths (defense against path
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traversal). The inline replacement keeps the first 4KB so the
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model retains some signal about what was returned.
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"""
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if not isinstance(content, str):
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try:
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serialized = json.dumps(content) if not isinstance(content, str) else content
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except Exception:
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serialized = str(content)
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else:
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serialized = content
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if len(serialized.encode("utf-8")) <= max_bytes:
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return content, None
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blobs_dir = os.path.join(SESSIONS_DIR, session_id, "blobs")
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os.makedirs(blobs_dir, exist_ok=True)
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# Sanitize msg_id (it's UUID hex, but be defensive).
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safe_msg_id = re.sub(r"[^a-zA-Z0-9_-]", "", str(msg_id))[:64] or "blob"
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blob_path = os.path.join(blobs_dir, f"{safe_msg_id}.txt")
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try:
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with open(blob_path, "w", encoding="utf-8") as f:
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f.write(serialized)
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except Exception as e:
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logger.warning(f"Failed to spill tool result to {blob_path}: {e}")
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return content, None
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head = serialized[:4_000]
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replacement = (
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f"{head}\n\n"
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f"[truncated, full output ({len(serialized)} chars) saved to {blob_path}. "
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f"Ask the user or run a follow-up tool call if you need the rest.]"
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)
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return replacement, blob_path
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