strepsiades
600 lines
24 KiB
Python
600 lines
24 KiB
Python
from __future__ import annotations
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import json
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import uuid
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from pathlib import Path
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from typing import Any
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import yaml
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from auto_test_lib import (
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copy_selected_files,
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copy_tree_contents,
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diff_record_fields,
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enrich_supplier_display_fields,
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latest_log_file,
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merge_tree_contents,
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normalize_contract_settlement_records,
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normalize_construction_task_plan_nodes,
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persistence_summary,
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read_jsonl_records,
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load_yaml_config,
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run_command,
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sqlite_rows,
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)
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def _tail_text(value: str | None, max_chars: int = 1000) -> str:
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if not value:
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return ""
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if len(value) <= max_chars:
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return value
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return value[-max_chars:]
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def collect_required_bindings(db_path: str, required_bindings: dict[str, list[str]]) -> dict[str, Any]:
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result: dict[str, Any] = {}
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for node_type, local_ids in required_bindings.items():
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result[node_type] = []
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local_nodes = sqlite_rows(
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db_path,
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"SELECT node_id, data_id FROM nodes WHERE collection_id = 'local' AND node_type = ?",
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(node_type,),
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)
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remote_nodes = sqlite_rows(
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db_path,
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"SELECT node_id, data_id FROM nodes WHERE collection_id = 'remote' AND node_type = ?",
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(node_type,),
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)
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bindings = sqlite_rows(
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db_path,
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"SELECT local_id, remote_id FROM bindings WHERE node_type = ?",
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(node_type,),
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)
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local_data_to_node = {item["data_id"]: item["node_id"] for item in local_nodes}
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remote_node_to_data = {item["node_id"]: item["data_id"] for item in remote_nodes}
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bound_map = {item["local_id"]: item.get("remote_id") for item in bindings}
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for local_id in local_ids:
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local_node_id = local_data_to_node.get(local_id)
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remote_node_id = bound_map.get(local_node_id) if local_node_id else None
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result[node_type].append(
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{
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"local_data_id": local_id,
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"local_node_id": local_node_id,
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"remote_node_id": remote_node_id,
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"remote_data_id": remote_node_to_data.get(remote_node_id) if remote_node_id else None,
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"bound": remote_node_id is not None,
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}
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)
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return result
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def collect_problem_nodes(db_path: str, node_types: list[str] | None = None) -> list[dict[str, Any]]:
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problems: list[dict[str, Any]] = []
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seen: set[tuple[str | None, str | None]] = set()
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sql = """
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SELECT
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collection_id,
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node_type,
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node_id,
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data_id,
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bind_data_id,
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action,
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status,
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binding_status,
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error,
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sync_log,
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context
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FROM nodes
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"""
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params: tuple[Any, ...] = ()
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if node_types:
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placeholders = ", ".join("?" for _ in node_types)
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sql += f" WHERE node_type IN ({placeholders})"
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params = tuple(node_types)
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sql += " ORDER BY node_type, collection_id, node_id"
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rows = sqlite_rows(db_path, sql, params)
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for row in rows:
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status = row.get("status")
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binding_status = row.get("binding_status")
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error = row.get("error")
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has_problem = bool(error) or status == "FAILED" or (binding_status not in (None, "", "normal"))
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if not has_problem:
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continue
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key = (row.get("collection_id"), row.get("node_id"))
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if key in seen:
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continue
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seen.add(key)
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problems.append(
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{
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"collection_id": row.get("collection_id"),
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"node_type": row.get("node_type"),
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"node_id": row.get("node_id"),
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"data_id": row.get("data_id"),
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"bind_data_id": row.get("bind_data_id"),
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"action": row.get("action"),
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"status": status,
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"binding_status": binding_status,
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"error": error,
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"sync_log_tail": _tail_text(row.get("sync_log"), 1600),
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"context": row.get("context"),
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}
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)
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return problems
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def collect_round_diffs(previous_dataset_dir: str | None, current_dataset_dir: str) -> dict[str, dict[str, list[str]]]:
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if not previous_dataset_dir:
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return {}
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previous_root = Path(previous_dataset_dir)
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current_root = Path(current_dataset_dir)
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diffs: dict[str, dict[str, list[str]]] = {}
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for after_file in sorted(current_root.glob("*.jsonl")):
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before_file = previous_root / after_file.name
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if not before_file.exists():
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continue
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node_type = _infer_node_type_from_jsonl(after_file)
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before_records = read_jsonl_records(before_file)
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after_records = read_jsonl_records(after_file)
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file_diff: dict[str, list[str]] = {}
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for record_id, after in after_records.items():
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before = before_records.get(record_id)
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if not before:
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continue
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changed = diff_record_fields(before, after)
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if changed:
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file_diff[record_id] = changed
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if file_diff:
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diffs[node_type] = file_diff
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return diffs
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def collect_round_diff(previous_dataset_dir: str | None, current_dataset_dir: str, domain_name: str) -> dict[str, list[str]]:
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return collect_round_diffs(previous_dataset_dir, current_dataset_dir).get(domain_name, {})
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def _resolve_field_path(data: Any, field_path: str) -> Any:
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current = data
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for part in field_path.split("."):
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if isinstance(current, dict):
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current = current.get(part)
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continue
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if isinstance(current, list) and part.isdigit():
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index = int(part)
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if 0 <= index < len(current):
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current = current[index]
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continue
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return None
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return current
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def collect_node_data_by_data_ids(
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db_path: str,
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*,
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collection_id: str,
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node_type: str,
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data_ids: list[str],
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) -> dict[str, Any]:
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if not data_ids:
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return {}
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placeholders = ", ".join("?" for _ in data_ids)
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rows = sqlite_rows(
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db_path,
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(
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"SELECT data_id, data FROM nodes "
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"WHERE collection_id = ? AND node_type = ? AND data_id IN ("
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f"{placeholders})"
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),
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(collection_id, node_type, *data_ids),
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)
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result: dict[str, Any] = {}
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for row in rows:
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raw = row.get("data")
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data_id = row.get("data_id")
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if data_id is None or not raw:
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continue
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try:
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result[str(data_id)] = json.loads(raw)
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except json.JSONDecodeError:
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continue
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return result
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def make_local_data_id(node_type: str, remote_data_id: str) -> str:
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return str(uuid.uuid5(uuid.NAMESPACE_URL, f"auto-test-local:{node_type}:{remote_data_id}"))
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def _infer_node_type_from_jsonl(file_path: Path) -> str:
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name = file_path.name
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if name.endswith("_1.jsonl"):
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return name[:-8]
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if name.endswith(".jsonl"):
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return name[:-6]
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return file_path.stem
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def remap_project_scope_local_ids(
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dataset_root: str | Path,
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*,
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remote_project_id: str,
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local_project_id: str,
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remap_node_types: set[str],
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) -> None:
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root = Path(dataset_root)
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for file_path in sorted(root.glob("*.jsonl")):
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node_type = _infer_node_type_from_jsonl(file_path)
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raw_lines = file_path.read_text(encoding="utf-8").splitlines()
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rewritten: list[str] = []
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changed = False
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for line in raw_lines:
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raw = line.strip()
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if not raw:
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continue
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item = json.loads(raw)
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original = json.dumps(item, ensure_ascii=False, sort_keys=True)
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if item.get("project_id") == remote_project_id:
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item["project_id"] = local_project_id
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if node_type == "project" and item.get("_id") == remote_project_id:
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item["_id"] = local_project_id
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elif node_type in remap_node_types and item.get("project_id") == local_project_id and item.get("_id"):
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item["_id"] = make_local_data_id(node_type, str(item["_id"]))
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changed = changed or (json.dumps(item, ensure_ascii=False, sort_keys=True) != original)
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rewritten.append(json.dumps(item, ensure_ascii=False))
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if changed:
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file_path.write_text("\n".join(rewritten) + "\n", encoding="utf-8")
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def remap_project_scope_dataset_diffs(
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dataset_diffs: dict[str, dict[str, list[str]]],
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*,
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remote_project_id: str,
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local_project_id: str,
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remap_node_types: set[str],
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) -> dict[str, dict[str, list[str]]]:
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remapped: dict[str, dict[str, list[str]]] = {}
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for node_type, record_changes in dataset_diffs.items():
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remapped[node_type] = {}
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for record_id, changed_fields in record_changes.items():
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new_record_id = record_id
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if node_type == "project" and record_id == remote_project_id:
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new_record_id = local_project_id
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elif node_type in remap_node_types:
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new_record_id = make_local_data_id(node_type, record_id)
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remapped[node_type][new_record_id] = changed_fields
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return remapped
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def build_temp_run_profile_for_project_auto_bind(
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*,
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config: dict[str, Any],
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report_root: str | Path,
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profile_name: str,
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local_project_id: str,
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remote_project_id: str,
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project_update_direction: str | None = None,
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project_local_orphan_action: str | None = None,
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project_remote_orphan_action: str | None = None,
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project_detail_push_keys: set[str] | None = None,
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) -> tuple[str, list[str]]:
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profile = load_yaml_config(config["pipeline"]["run_profile"])
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profile.setdefault("local_datasource", {})["target_project_ids"] = [local_project_id]
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profile.setdefault("remote_datasource", {})["target_project_ids"] = [remote_project_id]
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project_strategy = profile.setdefault("strategies", {}).setdefault("project", {}).setdefault("config", {})
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project_strategy["auto_bind"] = False
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project_strategy["auto_bind_fields"] = []
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project_strategy["pre_bind_data_id"] = [
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{
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"local_data_id": local_project_id,
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"remote_data_id": remote_project_id,
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}
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]
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project_strategy["local_orphan_action"] = project_local_orphan_action or "none"
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project_strategy["remote_orphan_action"] = project_remote_orphan_action or "none"
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project_strategy["update_direction"] = project_update_direction or "none"
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if project_detail_push_keys:
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project_detail_config = profile.setdefault("strategies", {}).setdefault("project_detail_data", {}).setdefault("config", {})
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overrides = dict(project_detail_config.get("field_direction_overrides", {}))
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for key in project_detail_push_keys:
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overrides.pop(key, None)
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project_detail_config["field_direction_overrides"] = overrides
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runtime_dir = Path(report_root) / "runtime_configs"
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runtime_dir.mkdir(parents=True, exist_ok=True)
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profile_path = runtime_dir / f"{profile_name}.yaml"
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profile_path.write_text(yaml.safe_dump(profile, allow_unicode=True, sort_keys=False), encoding="utf-8")
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command = list(config["pipeline"]["command"])
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if "--config_path" in command:
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index = command.index("--config_path")
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if index + 1 < len(command):
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command[index + 1] = str(profile_path)
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else:
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command.append(str(profile_path))
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else:
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command.extend(["--config_path", str(profile_path)])
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return str(profile_path), command
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def run_pipeline_round(
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*,
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config: dict[str, Any],
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dataset_dir: str,
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previous_dataset_dir: str | None,
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base_dataset_dir: str | None = None,
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base_dataset_files: list[str] | None = None,
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domain_name: str,
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round_name: str,
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purpose: str,
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expected_changes: dict[str, Any] | None = None,
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required_bindings: dict[str, list[str]] | None = None,
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expected_binding_pairs: dict[str, dict[str, str]] | None = None,
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require_distinct_binding_ids: dict[str, list[str]] | None = None,
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expected_bound_fields: dict[str, dict[str, dict[str, dict[str, Any]]]] | None = None,
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project_id_remap: dict[str, Any] | None = None,
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project_detail_push_keys: set[str] | None = None,
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report_root: str | Path | None = None,
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coverage: dict[str, Any] | None = None,
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) -> dict[str, Any]:
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pipeline = config["pipeline"]
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paths = config["paths"]
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if base_dataset_dir and base_dataset_files:
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copy_selected_files(base_dataset_dir, paths["temp_data_dir"], base_dataset_files)
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merge_tree_contents(dataset_dir, paths["temp_data_dir"])
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else:
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copy_tree_contents(dataset_dir, paths["temp_data_dir"])
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common_dataset_dir = paths.get("common_dataset_dir")
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if common_dataset_dir and Path(common_dataset_dir).exists():
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merge_tree_contents(common_dataset_dir, paths["temp_data_dir"])
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enrich_supplier_display_fields(
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paths["temp_data_dir"],
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f"{config['project_root']}/working_local_datasource/filtered/region_1.jsonl",
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)
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normalize_contract_settlement_records(paths["temp_data_dir"])
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normalize_construction_task_plan_nodes(paths["temp_data_dir"])
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command = pipeline["command"]
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temp_run_profile_path = None
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if project_id_remap:
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local_project_id = str(project_id_remap["local_project_id"])
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remote_project_id = str(project_id_remap["remote_project_id"])
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remap_project_scope_local_ids(
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paths["temp_data_dir"],
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remote_project_id=remote_project_id,
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local_project_id=local_project_id,
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remap_node_types=set(project_id_remap.get("remap_node_types", set())),
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)
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if report_root is None:
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raise ValueError("project_id_remap requires report_root")
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temp_run_profile_path, command = build_temp_run_profile_for_project_auto_bind(
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config=config,
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report_root=report_root,
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profile_name=f"{domain_name}_{round_name}",
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local_project_id=local_project_id,
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remote_project_id=remote_project_id,
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project_update_direction=project_id_remap.get("project_update_direction"),
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project_local_orphan_action=project_id_remap.get("project_local_orphan_action"),
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project_remote_orphan_action=project_id_remap.get("project_remote_orphan_action"),
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project_detail_push_keys=project_detail_push_keys,
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)
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result = run_command(command, pipeline["project_root"])
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latest_log = latest_log_file(paths["pipeline_log_dir"])
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dataset_diff = collect_round_diff(previous_dataset_dir, dataset_dir, domain_name)
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dataset_diffs = collect_round_diffs(previous_dataset_dir, dataset_dir)
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if project_id_remap:
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dataset_diffs = remap_project_scope_dataset_diffs(
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dataset_diffs,
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remote_project_id=str(project_id_remap["remote_project_id"]),
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local_project_id=str(project_id_remap["local_project_id"]),
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remap_node_types=set(project_id_remap.get("remap_node_types", set())),
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)
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dataset_diff = dataset_diffs.get(domain_name, {})
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binding_report = collect_required_bindings(paths["persistence_db"], required_bindings or {})
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persist_report = persistence_summary(paths["persistence_db"], domain_name)
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watched_problem_types = set(required_bindings or {})
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watched_problem_types.update(expected_changes or {})
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for collection_node_types in (expected_bound_fields or {}).values():
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watched_problem_types.update(collection_node_types)
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watched_problem_types.add(domain_name)
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problem_nodes = collect_problem_nodes(
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paths["persistence_db"],
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sorted(watched_problem_types) if watched_problem_types else None,
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)
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issues: list[str] = []
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if result.returncode != 0:
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issues.append(f"pipeline 返回码不是 0: {result.returncode}")
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for node_type, items in binding_report.items():
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for item in items:
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if not item["bound"]:
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issues.append(f"{node_type} 未建立绑定: {item['local_data_id']}")
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expected_binding_pairs = expected_binding_pairs or {}
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for node_type, local_to_remote in expected_binding_pairs.items():
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actual_items = {item["local_data_id"]: item for item in binding_report.get(node_type, [])}
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for local_id, expected_remote_id in local_to_remote.items():
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actual = actual_items.get(local_id)
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if not actual:
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issues.append(f"{node_type} 缺少绑定检查记录: {local_id}")
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continue
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if actual.get("remote_data_id") != expected_remote_id:
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issues.append(
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f"{node_type} 绑定目标不符合预期: local={local_id} remote={actual.get('remote_data_id')} expected={expected_remote_id}"
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)
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require_distinct_binding_ids = require_distinct_binding_ids or {}
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for node_type, local_ids in require_distinct_binding_ids.items():
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actual_items = {item["local_data_id"]: item for item in binding_report.get(node_type, [])}
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for local_id in local_ids:
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actual = actual_items.get(local_id)
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if not actual or not actual.get("bound"):
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continue
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if actual.get("remote_data_id") == local_id:
|
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issues.append(f"{node_type} 绑定后 local/remote data_id 不应相同: {local_id}")
|
|
|
|
expected_bound_fields = expected_bound_fields or {}
|
|
verified_bound_fields: list[dict[str, Any]] = []
|
|
for collection_id, node_types in expected_bound_fields.items():
|
|
for node_type, local_expectations in node_types.items():
|
|
binding_items = {item["local_data_id"]: item for item in binding_report.get(node_type, [])}
|
|
target_id_by_local: dict[str, str] = {}
|
|
for local_data_id in local_expectations:
|
|
if collection_id == "local":
|
|
target_id_by_local[local_data_id] = local_data_id
|
|
continue
|
|
remote_data_id = (binding_items.get(local_data_id) or {}).get("remote_data_id")
|
|
if remote_data_id:
|
|
target_id_by_local[local_data_id] = remote_data_id
|
|
|
|
records = collect_node_data_by_data_ids(
|
|
paths["persistence_db"],
|
|
collection_id=collection_id,
|
|
node_type=node_type,
|
|
data_ids=list(target_id_by_local.values()),
|
|
)
|
|
|
|
for local_data_id, expected_fields in local_expectations.items():
|
|
target_data_id = target_id_by_local.get(local_data_id)
|
|
record = records.get(target_data_id) if target_data_id else None
|
|
if not target_data_id or record is None:
|
|
issues.append(
|
|
f"{collection_id}.{node_type} 字段校验缺少目标记录: local={local_data_id} resolved={target_data_id}"
|
|
)
|
|
continue
|
|
|
|
actual_fields: dict[str, Any] = {}
|
|
mismatches: list[str] = []
|
|
for field_path, expected_value in expected_fields.items():
|
|
actual_value = _resolve_field_path(record, field_path)
|
|
actual_fields[field_path] = actual_value
|
|
if actual_value != expected_value:
|
|
mismatches.append(
|
|
f"{field_path}: actual={actual_value!r} expected={expected_value!r}"
|
|
)
|
|
|
|
verified_bound_fields.append(
|
|
{
|
|
"collection_id": collection_id,
|
|
"node_type": node_type,
|
|
"local_data_id": local_data_id,
|
|
"target_data_id": target_data_id,
|
|
"matched": not mismatches,
|
|
"expected_fields": expected_fields,
|
|
"actual_fields": actual_fields,
|
|
}
|
|
)
|
|
if mismatches:
|
|
issues.append(
|
|
f"{collection_id}.{node_type} 字段校验失败: local={local_data_id} target={target_data_id}; "
|
|
+ "; ".join(mismatches)
|
|
)
|
|
|
|
relevant_local_ids: set[str] = set()
|
|
for local_ids in (required_bindings or {}).values():
|
|
relevant_local_ids.update(local_ids)
|
|
|
|
relevant_remote_ids: set[str] = set()
|
|
for items in binding_report.values():
|
|
for item in items:
|
|
remote_data_id = item.get("remote_data_id")
|
|
if remote_data_id:
|
|
relevant_remote_ids.add(str(remote_data_id))
|
|
for remote_map in (expected_binding_pairs or {}).values():
|
|
relevant_remote_ids.update(str(remote_id) for remote_id in remote_map.values() if remote_id)
|
|
|
|
matched_verified_local_keys = {
|
|
(entry["node_type"], entry["local_data_id"])
|
|
for entry in verified_bound_fields
|
|
if entry.get("matched")
|
|
}
|
|
|
|
for item in problem_nodes:
|
|
item_data_id = item.get("data_id")
|
|
if item.get("collection_id") == "local":
|
|
if item_data_id not in relevant_local_ids:
|
|
continue
|
|
elif item.get("collection_id") == "remote":
|
|
if not item_data_id or item_data_id not in relevant_remote_ids:
|
|
continue
|
|
|
|
error_text = item.get("error") or ""
|
|
if item.get("status") == "FAILED":
|
|
issues.append(
|
|
f"{item['collection_id']}.{item['node_type']} 节点失败: data_id={item.get('data_id')} action={item.get('action')} error={error_text or '<empty>'}"
|
|
)
|
|
elif item.get("binding_status") not in (None, "", "normal"):
|
|
if (
|
|
item.get("collection_id") == "local"
|
|
and (item.get("node_type"), item.get("data_id")) in matched_verified_local_keys
|
|
):
|
|
continue
|
|
issues.append(
|
|
f"{item['collection_id']}.{item['node_type']} 绑定异常: data_id={item.get('data_id')} binding_status={item.get('binding_status')}"
|
|
)
|
|
elif error_text:
|
|
continue
|
|
|
|
expected_changes = expected_changes or {}
|
|
for node_type, record_changes in expected_changes.items():
|
|
node_diff = dataset_diffs.get(node_type, {})
|
|
for record_id, expected_fields in record_changes.items():
|
|
actual_changed_fields: list[str] = node_diff.get(record_id, [])
|
|
missing = [field for field in expected_fields if field not in actual_changed_fields]
|
|
if missing:
|
|
issues.append(f"数据变更字段不完整: {record_id} 缺少 {', '.join(missing)}")
|
|
|
|
return {
|
|
"name": round_name,
|
|
"purpose": purpose,
|
|
"dataset_dir": dataset_dir,
|
|
"returncode": result.returncode,
|
|
"passed": not issues,
|
|
"issues": issues,
|
|
"stdout_tail": result.stdout[-2000:],
|
|
"stderr_tail": result.stderr[-2000:],
|
|
"latest_log_file": latest_log,
|
|
"expected_changes": expected_changes,
|
|
"dataset_diff": dataset_diff,
|
|
"dataset_diffs": dataset_diffs,
|
|
"required_bindings": binding_report,
|
|
"expected_binding_pairs": expected_binding_pairs,
|
|
"require_distinct_binding_ids": require_distinct_binding_ids,
|
|
"verified_bound_fields": verified_bound_fields,
|
|
"problem_nodes": problem_nodes,
|
|
"persistence_summary": persist_report,
|
|
"temp_run_profile_path": temp_run_profile_path,
|
|
"coverage": coverage or {},
|
|
}
|
|
|
|
|
|
def build_domain_report(domain: str, description: str, rounds: list[dict[str, Any]]) -> dict[str, Any]:
|
|
issues: list[str] = []
|
|
for round_report in rounds:
|
|
for issue in round_report.get("issues", []):
|
|
issues.append(f"{round_report['name']}: {issue}")
|
|
return {
|
|
"domain": domain,
|
|
"description": description,
|
|
"passed": len(issues) == 0,
|
|
"issues": issues,
|
|
"rounds": rounds,
|
|
} |