Spaces:
Running
Running
File size: 34,471 Bytes
6918275 | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883 884 885 886 887 888 | from __future__ import annotations
import hashlib
import io
import json
import re
import sqlite3
import stat
import tarfile
import tempfile
import uuid
import zipfile
from dataclasses import dataclass, field
from datetime import datetime, timezone
from pathlib import Path, PurePosixPath
from typing import Any, Iterable
MAX_FILES = 5_000
MAX_FILE_BYTES = 100 * 1024 * 1024
MAX_TOTAL_BYTES = 256 * 1024 * 1024
TEXT_SUFFIXES = {
".css",
".html",
".js",
".json",
".jsonl",
".md",
".py",
".sh",
".toml",
".ts",
".txt",
".yaml",
".yml",
}
MEMORY_NAMES = {
"memory.md",
}
INSTRUCTION_NAMES = {
"agents.md",
"claude.md",
"identity.md",
"soul.md",
"tools.md",
"user.md",
}
PROJECT_PATH_KEYS = ("cwd", "directory", "workspace")
SENSITIVE_NAMES = {
".credentials.json",
".env",
"auth.json",
"credentials.json",
"openclaw.json",
"settings.json",
}
SECRET_RE = re.compile(
r"(?i)(\b(?:api[_-]?key|access[_-]?token|refresh[_-]?token|password|passwd|secret)\b[\"']?\s*[:=]\s*[\"']?)([^\s\"']+)"
)
BEARER_RE = re.compile(r"(?i)(Authorization\s*:\s*Bearer\s+)([^\s\"']+)")
PRIVATE_KEY_RE = re.compile(
r"-----BEGIN [^-]*PRIVATE KEY-----[\s\S]*?-----END [^-]*PRIVATE KEY-----"
)
DATA_URL_RE = re.compile(r"data:[^;,\s]+;base64,[A-Za-z0-9+/=_-]+")
@dataclass(slots=True)
class Upload:
name: str
data: bytes
@dataclass(slots=True)
class Event:
kind: str
text: str = ""
timestamp: float = 0.0
thoughts: list[str] = field(default_factory=list)
tool_name: str = ""
tool_args: dict[str, Any] = field(default_factory=dict)
tool_result: str = ""
@dataclass(slots=True)
class Conversation:
source_id: str
title: str
events: list[Event]
metadata: dict[str, Any] = field(default_factory=dict)
@dataclass(slots=True)
class Asset:
path: str
data: bytes
@dataclass(slots=True)
class Project:
source_id: str
title: str
path: str
conversation_ids: list[str] = field(default_factory=list)
@dataclass(slots=True)
class Bundle:
source: str
conversations: list[Conversation] = field(default_factory=list)
projects: list[Project] = field(default_factory=list)
memories: list[Asset] = field(default_factory=list)
instructions: list[Asset] = field(default_factory=list)
skills: dict[str, list[Asset]] = field(default_factory=dict)
excluded: list[str] = field(default_factory=list)
warnings: list[str] = field(default_factory=list)
redactions: int = 0
@property
def knowledge(self) -> list[Asset]:
return [*self.memories, *self.instructions]
def summary(self) -> dict[str, int]:
return {
"chats": len(self.conversations),
"projects": len(self.projects),
"messages": sum(len(item.events) for item in self.conversations),
"memories": len(self.memories),
"instructions": len(self.instructions),
"knowledge": len(self.memories) + len(self.instructions),
"skills": len(self.skills),
"excluded": len(self.excluded),
"redactions": self.redactions,
}
def _safe_name(name: str) -> str:
value = str(PurePosixPath(name.replace("\\", "/")))
path = PurePosixPath(value)
if path.is_absolute() or ".." in path.parts:
raise ValueError(f"Unsafe archive path: {name!r}")
return value.lstrip("./")
def expand_uploads(uploads: Iterable[Upload]) -> list[Upload]:
result: list[Upload] = []
total = 0
def add(name: str, data: bytes) -> None:
nonlocal total
clean = _safe_name(name)
if not clean or clean.endswith("/"):
return
if len(data) > MAX_FILE_BYTES:
raise ValueError(f"File exceeds the 100 MiB limit: {clean}")
total += len(data)
if total > MAX_TOTAL_BYTES:
raise ValueError("Expanded upload exceeds the 256 MiB limit")
result.append(Upload(clean, data))
if len(result) > MAX_FILES:
raise ValueError(f"Upload contains more than {MAX_FILES} files")
for upload in uploads:
lower = upload.name.lower()
if lower.endswith(".zip"):
with zipfile.ZipFile(io.BytesIO(upload.data)) as archive:
for member in archive.infolist():
mode = member.external_attr >> 16
if stat.S_ISLNK(mode):
raise ValueError(f"Archive symlinks are not accepted: {member.filename}")
if member.is_dir():
continue
add(member.filename, archive.read(member))
elif lower.endswith((".tar", ".tar.gz", ".tgz")):
with tarfile.open(fileobj=io.BytesIO(upload.data), mode="r:*") as archive:
for member in archive.getmembers():
if member.issym() or member.islnk() or member.isdev():
raise ValueError(f"Archive links and devices are not accepted: {member.name}")
if not member.isfile():
continue
source = archive.extractfile(member)
if source is not None:
add(member.name, source.read(MAX_FILE_BYTES + 1))
else:
add(upload.name, upload.data)
return result
def _text(asset: Upload | Asset) -> str:
return asset.data.decode("utf-8-sig", "replace")
def _redact(value: str) -> tuple[str, int]:
count = 0
def secret(match: re.Match[str]) -> str:
nonlocal count
if match.group(2).startswith("$"):
return match.group(0)
count += 1
return f"{match.group(1)}[REDACTED]"
value = SECRET_RE.sub(secret, value)
value, bearer_count = BEARER_RE.subn(r"\1[REDACTED]", value)
value, key_count = PRIVATE_KEY_RE.subn("[PRIVATE KEY REDACTED]", value)
value, data_count = DATA_URL_RE.subn("[EMBEDDED DATA OMITTED]", value)
return value, count + bearer_count + key_count + data_count
def _timestamp(value: Any, fallback: float = 0.0) -> float:
if isinstance(value, (int, float)):
number = float(value)
return number / 1000 if number > 10_000_000_000 else number
if isinstance(value, str) and value:
try:
return datetime.fromisoformat(value.replace("Z", "+00:00")).timestamp()
except ValueError:
pass
return fallback or datetime.now(timezone.utc).timestamp()
def _one_line(value: str, limit: int = 92) -> str:
text = re.sub(r"\s+", " ", value).strip()
return text if len(text) <= limit else text[: limit - 1].rstrip() + "…"
def _content_text(content: Any) -> str:
if isinstance(content, str):
return content
if isinstance(content, dict):
for key in ("text", "content", "user_message"):
if isinstance(content.get(key), str):
return content[key]
return ""
if isinstance(content, list):
parts: list[str] = []
for item in content:
if isinstance(item, str):
parts.append(item)
elif isinstance(item, dict) and item.get("type") not in {"thinking", "reasoning"}:
value = item.get("text") or item.get("content")
if isinstance(value, str):
parts.append(value)
return "\n".join(part for part in parts if part)
return ""
def _tool_blocks(content: Any) -> list[dict[str, Any]]:
if not isinstance(content, list):
return []
return [
item
for item in content
if isinstance(item, dict) and item.get("type") in {"tool_use", "toolCall", "tool-call"}
]
def _events_from_messages(messages: Iterable[dict[str, Any]]) -> list[Event]:
events: list[Event] = []
pending_tools: dict[str, Event] = {}
for index, message in enumerate(messages):
role = str(message.get("role") or message.get("type") or "").lower()
content = message.get("content")
when = _timestamp(message.get("timestamp") or message.get("created_at"), index + 1)
if role in {"user", "human"}:
text = _content_text(content)
if text:
events.append(Event("user", text=text, timestamp=when))
if isinstance(content, list):
for block in content:
if not isinstance(block, dict) or block.get("type") != "tool_result":
continue
tool_id = str(block.get("tool_use_id") or "")
result = _content_text(block.get("content"))
if tool_id in pending_tools:
pending_tools[tool_id].tool_result = result
continue
if role in {"assistant", "agent", "ai"}:
text = _content_text(content)
if text:
events.append(Event("assistant", text=text, timestamp=when))
for block in _tool_blocks(content):
tool_id = str(block.get("id") or block.get("tool_call_id") or "")
event = Event(
"tool",
timestamp=when,
tool_name=str(block.get("name") or "tool"),
tool_args=block.get("input") if isinstance(block.get("input"), dict) else {},
)
events.append(event)
if tool_id:
pending_tools[tool_id] = event
calls = message.get("tool_calls")
if isinstance(calls, str):
try:
calls = json.loads(calls)
except json.JSONDecodeError:
calls = []
for call in calls or []:
if not isinstance(call, dict):
continue
function = call.get("function") if isinstance(call.get("function"), dict) else call
raw_args = function.get("arguments") or {}
if isinstance(raw_args, str):
try:
raw_args = json.loads(raw_args)
except json.JSONDecodeError:
raw_args = {"raw_arguments": raw_args}
event = Event(
"tool",
timestamp=when,
tool_name=str(function.get("name") or "tool"),
tool_args=raw_args if isinstance(raw_args, dict) else {"value": raw_args},
)
events.append(event)
tool_id = str(call.get("id") or "")
if tool_id:
pending_tools[tool_id] = event
continue
if role in {"tool", "tool_result"}:
tool_id = str(message.get("tool_call_id") or message.get("id") or "")
result = _content_text(content)
if tool_id in pending_tools:
pending_tools[tool_id].tool_result = result
else:
events.append(
Event(
"tool",
timestamp=when,
tool_name=str(message.get("tool_name") or message.get("name") or "tool"),
tool_result=result,
)
)
return events
def _conversation(source_id: str, title: str, events: list[Event], **metadata: Any) -> Conversation | None:
visible = [event for event in events if event.kind == "tool" or event.text.strip()]
if not visible:
return None
first_user = next((event.text for event in visible if event.kind == "user"), source_id)
return Conversation(source_id, _one_line(title or first_user or source_id), visible, metadata)
def _json_lines(text: str) -> list[dict[str, Any]]:
rows: list[dict[str, Any]] = []
for line_no, line in enumerate(text.splitlines(), 1):
if not line.strip():
continue
try:
value = json.loads(line)
except json.JSONDecodeError as exc:
raise ValueError(f"Invalid JSONL at line {line_no}: {exc.msg}") from exc
if isinstance(value, dict):
rows.append(value)
return rows
def _parse_codex(asset: Upload) -> list[Conversation]:
rows = _json_lines(_text(asset))
metadata: dict[str, Any] = {}
events: list[Event] = []
pending: dict[str, Event] = {}
thoughts: list[str] = []
for index, row in enumerate(rows):
payload = row.get("payload") if isinstance(row.get("payload"), dict) else {}
if row.get("type") == "session_meta" and not metadata:
metadata = dict(payload)
continue
if row.get("type") == "event_msg":
event_type = payload.get("type")
when = _timestamp(row.get("timestamp"), index + 1)
text = payload.get("message")
if not isinstance(text, str) or not text.strip():
continue
if event_type == "user_message":
events.append(Event("user", text=text, timestamp=when))
elif event_type == "agent_message" and payload.get("phase") == "commentary":
thoughts.append(text)
elif event_type == "agent_message" and payload.get("phase") == "final_answer":
events.append(Event("assistant", text=text, timestamp=when, thoughts=thoughts.copy()))
thoughts.clear()
continue
if row.get("type") != "response_item":
continue
item_type = payload.get("type")
call_id = str(payload.get("call_id") or payload.get("id") or "")
when = _timestamp(row.get("timestamp"), index + 1)
if item_type in {"function_call", "custom_tool_call"}:
raw = payload.get("arguments") if item_type == "function_call" else payload.get("input")
if isinstance(raw, str):
try:
args = json.loads(raw)
except json.JSONDecodeError:
args = {"input": raw}
else:
args = raw if isinstance(raw, dict) else {}
event = Event(
"tool",
timestamp=when,
thoughts=thoughts.copy(),
tool_name=str(payload.get("name") or "tool"),
tool_args=args,
)
thoughts.clear()
events.append(event)
if call_id:
pending[call_id] = event
elif item_type in {"function_call_output", "custom_tool_call_output"} and call_id in pending:
pending[call_id].tool_result = _content_text(payload.get("output")) or str(payload.get("output") or "")
item = _conversation(
str(metadata.get("id") or metadata.get("session_id") or Path(asset.name).stem),
"",
events,
cwd=metadata.get("cwd"),
originator=metadata.get("originator"),
)
return [item] if item else []
def _parse_claude(asset: Upload) -> list[Conversation]:
rows = _json_lines(_text(asset))
messages: list[dict[str, Any]] = []
session_id = Path(asset.name).stem
cwd = ""
for row in rows:
if row.get("isSidechain") is True or row.get("type") not in {"user", "assistant"}:
continue
message = row.get("message")
if not isinstance(message, dict):
continue
messages.append({**message, "timestamp": row.get("timestamp")})
session_id = str(row.get("sessionId") or session_id)
cwd = str(row.get("cwd") or cwd)
item = _conversation(session_id, "", _events_from_messages(messages), cwd=cwd)
return [item] if item else []
def _parse_opencode(asset: Upload) -> list[Conversation]:
try:
data = json.loads(_text(asset))
except json.JSONDecodeError:
return []
if not isinstance(data, dict) or not isinstance(data.get("messages"), list):
return []
info = data.get("info") if isinstance(data.get("info"), dict) else {}
events: list[Event] = []
for index, wrapper in enumerate(data["messages"]):
if not isinstance(wrapper, dict):
continue
message = wrapper.get("info") if isinstance(wrapper.get("info"), dict) else wrapper
role = str(message.get("role") or "")
when = _timestamp((message.get("time") or {}).get("created") if isinstance(message.get("time"), dict) else None, index + 1)
parts = wrapper.get("parts") if isinstance(wrapper.get("parts"), list) else []
text = "\n".join(
str(part.get("text"))
for part in parts
if isinstance(part, dict) and part.get("type") == "text" and part.get("text")
)
if text and role in {"user", "assistant"}:
events.append(Event(role, text=text, timestamp=when))
for part in parts:
if not isinstance(part, dict) or part.get("type") != "tool":
continue
state = part.get("state") if isinstance(part.get("state"), dict) else {}
args = state.get("input") if isinstance(state.get("input"), dict) else {}
events.append(
Event(
"tool",
timestamp=when,
tool_name=str(part.get("tool") or state.get("title") or "tool"),
tool_args=args,
tool_result=_content_text(state.get("output")),
)
)
item = _conversation(
str(info.get("id") or Path(asset.name).stem),
str(info.get("title") or ""),
events,
directory=info.get("directory"),
project_id=info.get("projectID"),
)
return [item] if item else []
def _parse_hermes_jsonl(asset: Upload) -> list[Conversation]:
result: list[Conversation] = []
for row in _json_lines(_text(asset)):
messages = row.get("messages")
if not isinstance(messages, list):
continue
item = _conversation(
str(row.get("id") or row.get("session_id") or uuid.uuid4()),
str(row.get("title") or ""),
_events_from_messages(message for message in messages if isinstance(message, dict)),
source=row.get("source"),
cwd=row.get("cwd"),
model=row.get("model"),
)
if item:
result.append(item)
return result
def _parse_openclaw_jsonl(asset: Upload) -> list[Conversation]:
rows = _json_lines(_text(asset))
session_id = Path(asset.name).stem
title = ""
workspace = ""
messages: list[dict[str, Any]] = []
for row in rows:
if row.get("type") in {"session", "session_meta"}:
session_id = str(row.get("id") or row.get("sessionId") or session_id)
title = str(row.get("title") or title)
workspace = str(row.get("cwd") or row.get("workspace") or workspace)
continue
message = row.get("message") if isinstance(row.get("message"), dict) else None
if row.get("type") == "message" and message:
messages.append({**message, "timestamp": row.get("timestamp") or message.get("timestamp")})
elif row.get("role"):
messages.append(row)
item = _conversation(session_id, title, _events_from_messages(messages), workspace=workspace)
return [item] if item else []
def _sqlite(asset: Upload) -> tuple[sqlite3.Connection, str]:
handle = tempfile.NamedTemporaryFile(suffix=".sqlite", delete=False)
try:
handle.write(asset.data)
handle.close()
connection = sqlite3.connect(f"file:{handle.name}?mode=ro&immutable=1", uri=True)
connection.row_factory = sqlite3.Row
return connection, handle.name
except Exception:
Path(handle.name).unlink(missing_ok=True)
raise
def _close_sqlite(connection: sqlite3.Connection, path: str) -> None:
connection.close()
Path(path).unlink(missing_ok=True)
def _tables(connection: sqlite3.Connection) -> set[str]:
return {row[0] for row in connection.execute("SELECT name FROM sqlite_master WHERE type='table'")}
def _parse_hermes_db(asset: Upload) -> list[Conversation]:
connection, path = _sqlite(asset)
try:
if not {"sessions", "messages"}.issubset(_tables(connection)):
return []
result: list[Conversation] = []
for session in connection.execute("SELECT * FROM sessions ORDER BY started_at"):
rows = connection.execute(
"SELECT * FROM messages WHERE session_id = ? ORDER BY timestamp, id", (session["id"],)
).fetchall()
messages = [dict(row) for row in rows]
item = _conversation(
str(session["id"]),
str(session["title"] or "") if "title" in session.keys() else "",
_events_from_messages(messages),
source=session["source"] if "source" in session.keys() else None,
cwd=session["cwd"] if "cwd" in session.keys() else None,
model=session["model"] if "model" in session.keys() else None,
)
if item:
result.append(item)
return result
finally:
_close_sqlite(connection, path)
def _parse_openclaw_db(asset: Upload) -> list[Conversation]:
connection, path = _sqlite(asset)
try:
if not {"session_windows", "transcript_events"}.issubset(_tables(connection)):
return []
result: list[Conversation] = []
for window in connection.execute("SELECT * FROM session_windows ORDER BY created_at"):
messages: list[dict[str, Any]] = []
for row in connection.execute(
"SELECT event_json, created_at FROM transcript_events WHERE session_id = ? ORDER BY seq",
(window["session_id"],),
):
try:
event = json.loads(row["event_json"])
except (TypeError, json.JSONDecodeError):
continue
message = event.get("message") if isinstance(event.get("message"), dict) else None
if event.get("type") == "message" and message:
messages.append({**message, "timestamp": event.get("timestamp") or row["created_at"]})
elif event.get("role"):
messages.append({**event, "timestamp": event.get("timestamp") or row["created_at"]})
item = _conversation(
str(window["session_id"]),
str(window["display_name"] or "") if "display_name" in window.keys() else "",
_events_from_messages(messages),
session_key=window["session_key"],
channel=window["channel"] if "channel" in window.keys() else None,
model=window["model"] if "model" in window.keys() else None,
)
if item:
result.append(item)
return result
finally:
_close_sqlite(connection, path)
def _is_sqlite(asset: Upload) -> bool:
return asset.data.startswith(b"SQLite format 3\x00")
def _discover_assets(files: list[Upload], bundle: Bundle) -> None:
skill_roots: dict[str, str] = {}
for item in files:
path = PurePosixPath(item.name)
if path.name.lower() == "skill.md":
key = str(path.parent)
skill_roots[key] = re.sub(r"[^a-z0-9_-]+", "_", path.parent.name.lower()).strip("_") or "skill"
for item in files:
path = PurePosixPath(item.name)
suffix = path.suffix.lower()
sensitive = path.name.lower() in SENSITIVE_NAMES or suffix in {".key", ".pem"}
for root, slug in skill_roots.items():
root_path = PurePosixPath(root)
try:
relative = path.relative_to(root_path)
except ValueError:
continue
if sensitive:
bundle.excluded.append(f"{item.name}: credentials are never imported")
else:
bundle.skills.setdefault(slug, []).append(Asset(str(relative), item.data))
break
else:
lower_parts = {part.lower() for part in path.parts}
if suffix == ".md" and path.name.lower() in INSTRUCTION_NAMES:
bundle.instructions.append(Asset(item.name, item.data))
elif suffix == ".md" and (
path.name.lower() in MEMORY_NAMES or "memory" in lower_parts or "memories" in lower_parts
):
bundle.memories.append(Asset(item.name, item.data))
elif sensitive:
bundle.excluded.append(f"{item.name}: settings or credentials are never imported")
def _discover_projects(bundle: Bundle) -> None:
by_path: dict[str, Project] = {}
for conversation in bundle.conversations:
project_path = next(
(
str(conversation.metadata.get(key) or "").strip()
for key in PROJECT_PATH_KEYS
if str(conversation.metadata.get(key) or "").strip()
),
"",
)
if not project_path or project_path in {".", "/", "\\"}:
continue
normalized = project_path.replace("\\", "/").rstrip("/")
title = PurePosixPath(normalized).name or "Imported project"
source_id = hashlib.sha256(f"{bundle.source}:{project_path}".encode()).hexdigest()[:12]
project = by_path.setdefault(source_id, Project(source_id, title, project_path))
project.conversation_ids.append(conversation.source_id)
bundle.projects = list(by_path.values())
def parse_bundle(source: str, uploads: Iterable[Upload]) -> Bundle:
if source not in {"openclaw", "hermes", "opencode", "claude", "codex"}:
raise ValueError("Choose one of the five supported source harnesses")
files = expand_uploads(uploads)
bundle = Bundle(source)
_discover_assets(files, bundle)
seen: set[str] = set()
for asset in files:
lower = asset.name.lower()
conversations: list[Conversation] = []
try:
if _is_sqlite(asset):
conversations = _parse_hermes_db(asset) if source == "hermes" else _parse_openclaw_db(asset) if source == "openclaw" else []
elif source == "codex" and lower.endswith(".jsonl"):
conversations = _parse_codex(asset)
elif source == "claude" and lower.endswith(".jsonl") and "/history.jsonl" not in f"/{lower}":
conversations = _parse_claude(asset)
elif source == "opencode" and lower.endswith(".json"):
conversations = _parse_opencode(asset)
elif source == "hermes" and lower.endswith(".jsonl"):
conversations = _parse_hermes_jsonl(asset)
elif source == "openclaw" and lower.endswith(".jsonl"):
conversations = _parse_openclaw_jsonl(asset)
except (ValueError, sqlite3.DatabaseError) as exc:
bundle.warnings.append(f"{asset.name}: {exc}")
continue
for conversation in conversations:
identity = f"{source}:{conversation.source_id}"
if identity not in seen:
seen.add(identity)
bundle.conversations.append(conversation)
_discover_projects(bundle)
for conversation in bundle.conversations:
for event in conversation.events:
event.text, count = _redact(event.text)
bundle.redactions += count
event.tool_result, count = _redact(event.tool_result)
bundle.redactions += count
raw_args, count = _redact(json.dumps(event.tool_args, ensure_ascii=False))
bundle.redactions += count
try:
event.tool_args = json.loads(raw_args)
except json.JSONDecodeError:
event.tool_args = {"redacted": raw_args}
for asset in bundle.knowledge:
text, count = _redact(_text(asset))
bundle.redactions += count
asset.data = text.encode()
for assets in bundle.skills.values():
for asset in assets:
if PurePosixPath(asset.path).suffix.lower() in TEXT_SUFFIXES:
text, count = _redact(_text(asset))
bundle.redactions += count
asset.data = text.encode()
if not bundle.conversations and not bundle.knowledge and not bundle.skills:
bundle.warnings.append("No supported chats, memories, instructions, or skills were found in this upload")
return bundle
def _iso(timestamp: float) -> str:
return datetime.fromtimestamp(timestamp, timezone.utc).isoformat().replace("+00:00", "Z")
def build_a0_chat(conversation: Conversation, source: str) -> dict[str, Any]:
events = conversation.events
if not events:
raise ValueError("Conversation contains no importable events")
messages: list[dict[str, Any]] = []
logs: list[dict[str, Any]] = []
sequence = 0
last_timestamp = 0.0
def message(ai: bool, content: Any, when: float, kind: str) -> dict[str, Any]:
nonlocal sequence
sequence += 1
item = {
"_cls": "Message",
"id": str(uuid.uuid4()),
"ai": ai,
"content": content,
"metadata": {"imported_from": source, "source_event": kind, "source_timestamp": _iso(when)},
"sequence": sequence,
"summary": "",
"tokens": 0,
}
messages.append(item)
return item
def log(kind: str, item: dict[str, Any], heading: str, content: str, kvps: dict[str, Any], when: float) -> None:
nonlocal last_timestamp
last_timestamp = max(when, last_timestamp + 0.000001)
logs.append(
{
"no": len(logs),
"id": item["id"],
"type": kind,
"heading": heading,
"content": content,
"kvps": kvps,
"timestamp": last_timestamp,
"agentno": 0,
}
)
for index, event in enumerate(events):
when = event.timestamp or index + 1.0
if event.kind == "user":
item = message(False, {"user_message": event.text}, when, "user")
log("user", item, "", event.text, {"attachments": []}, when)
elif event.kind == "assistant":
envelope = {
"thoughts": event.thoughts or [f"Imported public response from {source}."],
"headline": _one_line(event.text),
"tool_name": "response",
"tool_args": {"text": event.text},
}
raw = json.dumps(envelope, ensure_ascii=False)
item = message(True, raw, when, "assistant")
log("agent", item, envelope["headline"], raw, envelope, when)
log("response", item, "icon://chat Responding", event.text, {"finished": True}, when + 0.000001)
elif event.kind == "tool":
name = event.tool_name or "tool"
envelope = {
"thoughts": event.thoughts or [f"Imported historical {source} tool activity."],
"headline": f"Using imported {name} record",
"tool_name": name,
"tool_args": event.tool_args,
}
raw = json.dumps(envelope, ensure_ascii=False)
call = message(True, raw, when, "tool_call")
log("agent", call, envelope["headline"], raw, envelope, when)
result_text = event.tool_result or "No retained tool result was available."
result = message(
False,
{"tool_name": name, "tool_result": result_text, "file": ""},
when + 0.000001,
"tool_result",
)
log(
"tool",
result,
f"icon://construction Using tool '{name}'",
result_text,
{**event.tool_args, "_tool_name": name},
when + 0.000001,
)
history = {
"_cls": "History",
"counter": sequence,
"bulks": [],
"topics": [],
"current": {"_cls": "Topic", "summary": "", "messages": messages},
}
first = min((event.timestamp for event in events if event.timestamp), default=1.0)
last = max((event.timestamp for event in events if event.timestamp), default=first)
chat_id = hashlib.sha256(f"{source}:{conversation.source_id}".encode()).hexdigest()[:8]
return {
"id": chat_id,
"name": conversation.title,
"created_at": _iso(first),
"type": "user",
"last_message": _iso(last),
"agents": [
{
"number": 0,
"agent_profile": "default",
"data": {},
"history": json.dumps(history, ensure_ascii=False),
}
],
"streaming_agent": 0,
"agent_profile": "default",
"log": {"guid": str(uuid.uuid4()), "logs": logs, "progress": "", "progress_no": 0},
"data": {
"_migrate_agents": {
"format_version": 1,
"source": source,
"source_id": conversation.source_id,
"source_metadata": conversation.metadata,
"hidden_reasoning_included": False,
"historical_tools_are_replayable": False,
}
},
"output_data": {},
}
def preview(bundle: Bundle) -> dict[str, Any]:
return {
"ok": True,
"source": bundle.source,
"summary": bundle.summary(),
"chats": [
{
"id": item.source_id,
"title": item.title,
"messages": len(item.events),
"metadata": item.metadata,
}
for item in bundle.conversations[:200]
],
"projects": [
{
"id": item.source_id,
"title": item.title,
"path": item.path,
"chats": len(item.conversation_ids),
}
for item in bundle.projects[:200]
],
"memories": [item.path for item in bundle.memories[:200]],
"instructions": [item.path for item in bundle.instructions[:200]],
"knowledge": [item.path for item in bundle.knowledge[:200]],
"skills": sorted(bundle.skills)[:200],
"excluded": bundle.excluded[:200],
"warnings": bundle.warnings[:200],
}
|