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6.52 kB
| """Shared, dependency-light helpers for the DeepResearch-9K pipeline.""" | |
| from __future__ import annotations | |
| import ast | |
| import hashlib | |
| import json | |
| import re | |
| import unicodedata | |
| from collections.abc import Iterable, Iterator | |
| from pathlib import Path | |
| from typing import Any | |
| from urllib.parse import parse_qsl, urlencode, urlsplit, urlunsplit | |
| TOOL_CALL_RE = re.compile(r"<tool_call>\s*(.*?)\s*</tool_call>", re.DOTALL | re.IGNORECASE) | |
| TRACKING_QUERY_KEYS = { | |
| "fbclid", | |
| "gclid", | |
| "mc_cid", | |
| "mc_eid", | |
| } | |
| def normalize_question(text: str) -> str: | |
| """Normalize a question for duplicate detection without rewriting content.""" | |
| return re.sub(r"\s+", " ", unicodedata.normalize("NFKC", text or "")).strip() | |
| def question_key(text: str) -> str: | |
| return normalize_question(text).casefold() | |
| def stable_qid(question: str) -> str: | |
| digest = hashlib.sha256(question_key(question).encode("utf-8")).hexdigest()[:16] | |
| return f"dr9k-{digest}" | |
| def to_plain(value: Any) -> Any: | |
| """Recursively convert numpy/Arrow containers to JSON-compatible values.""" | |
| if hasattr(value, "tolist"): | |
| return to_plain(value.tolist()) | |
| if isinstance(value, dict): | |
| return {str(key): to_plain(item) for key, item in value.items()} | |
| if isinstance(value, (list, tuple)): | |
| return [to_plain(item) for item in value] | |
| if hasattr(value, "item"): | |
| try: | |
| return value.item() | |
| except (TypeError, ValueError): | |
| pass | |
| return value | |
| def trajectory_fingerprint(row: dict[str, Any]) -> str: | |
| """Fingerprint the complete public row so DeepResearch-Hard matches exactly.""" | |
| payload = { | |
| "question": normalize_question(str(row["question"])), | |
| "difficulty": int(row["difficulty"]), | |
| "search trajectory": to_plain(row["search trajectory"]), | |
| "final answer": str(row["final answer"]).strip(), | |
| } | |
| encoded = json.dumps(payload, ensure_ascii=False, sort_keys=True, separators=(",", ":")) | |
| return hashlib.sha256(encoded.encode("utf-8")).hexdigest() | |
| def parse_tool_call_block(block: str) -> dict[str, Any]: | |
| """Parse one JSON-ish tool-call block. | |
| The public data contains a small number of Python-literal or fenced blocks, | |
| so JSON is attempted first and ``literal_eval`` is a conservative fallback. | |
| """ | |
| value = block.strip() | |
| if value.startswith("```") and value.endswith("```"): | |
| value = re.sub(r"^```(?:json)?\s*|\s*```$", "", value, flags=re.DOTALL | re.IGNORECASE).strip() | |
| errors: list[str] = [] | |
| for parser in (json.loads, ast.literal_eval): | |
| try: | |
| result = parser(value) | |
| if not isinstance(result, dict): | |
| raise ValueError(f"tool call is {type(result).__name__}, not an object") | |
| name = result.get("name") | |
| arguments = result.get("arguments", {}) | |
| if not isinstance(name, str) or not name.strip(): | |
| raise ValueError("tool call has no string name") | |
| if not isinstance(arguments, dict): | |
| raise ValueError("tool-call arguments are not an object") | |
| return {"name": name.strip(), "arguments": arguments} | |
| except (SyntaxError, ValueError, TypeError, json.JSONDecodeError) as exc: | |
| errors.append(str(exc)) | |
| raise ValueError("; ".join(errors)) | |
| def iter_tool_calls(trajectory: Iterable[dict[str, Any]]) -> Iterator[tuple[int, int, dict[str, Any], str]]: | |
| """Yield ``(message_index, block_index, call, raw_block)`` from a trajectory.""" | |
| for message_index, message in enumerate(trajectory): | |
| if message.get("role") != "assistant": | |
| continue | |
| content = str(message.get("content") or "") | |
| for block_index, match in enumerate(TOOL_CALL_RE.finditer(content)): | |
| raw = match.group(1) | |
| yield message_index, block_index, parse_tool_call_block(raw), raw | |
| def as_string_list(value: Any) -> list[str]: | |
| if isinstance(value, str): | |
| return [value.strip()] if value.strip() else [] | |
| if isinstance(value, (list, tuple)): | |
| return [str(item).strip() for item in value if str(item).strip()] | |
| return [] | |
| def unwrap_jina_url(url: str) -> tuple[str, bool]: | |
| """Return the underlying URL for an observed r.jina.ai reader URL.""" | |
| value = url.strip() | |
| match = re.match(r"^https?://r\.jina\.ai/(https?://.+)$", value, flags=re.IGNORECASE) | |
| return (match.group(1), True) if match else (value, False) | |
| def canonicalize_url(url: str) -> str: | |
| """Canonicalize an HTTP(S) URL for corpus deduplication.""" | |
| value, _ = unwrap_jina_url(url) | |
| parsed = urlsplit(value.strip()) | |
| scheme = parsed.scheme.lower() | |
| if scheme not in {"http", "https"} or not parsed.hostname: | |
| raise ValueError("only absolute HTTP(S) URLs are supported") | |
| hostname = parsed.hostname.encode("idna").decode("ascii").lower() | |
| port = parsed.port | |
| netloc = hostname | |
| if port and not ((scheme == "http" and port == 80) or (scheme == "https" and port == 443)): | |
| netloc = f"{hostname}:{port}" | |
| if parsed.username or parsed.password: | |
| raise ValueError("credential-bearing URLs are not supported") | |
| path = re.sub(r"/{2,}", "/", parsed.path or "/") | |
| if path != "/": | |
| path = path.rstrip("/") | |
| query_items = [] | |
| for key, item in parse_qsl(parsed.query, keep_blank_values=True): | |
| lowered = key.casefold() | |
| if lowered.startswith("utm_") or lowered in TRACKING_QUERY_KEYS: | |
| continue | |
| query_items.append((key, item)) | |
| query = urlencode(sorted(query_items)) | |
| return urlunsplit((scheme, netloc, path, query, "")) | |
| def url_id(canonical_url: str) -> str: | |
| return "url-" + hashlib.sha256(canonical_url.encode("utf-8")).hexdigest()[:24] | |
| def write_jsonl(path: Path, records: Iterable[dict[str, Any]]) -> int: | |
| path.parent.mkdir(parents=True, exist_ok=True) | |
| count = 0 | |
| with path.open("w", encoding="utf-8") as handle: | |
| for record in records: | |
| handle.write(json.dumps(record, ensure_ascii=False, sort_keys=True) + "\n") | |
| count += 1 | |
| return count | |
| def read_jsonl(path: Path) -> Iterator[dict[str, Any]]: | |
| with path.open(encoding="utf-8") as handle: | |
| for line_number, line in enumerate(handle, start=1): | |
| if not line.strip(): | |
| continue | |
| try: | |
| yield json.loads(line) | |
| except json.JSONDecodeError as exc: | |
| raise ValueError(f"invalid JSON in {path}:{line_number}: {exc}") from exc | |