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ecm_sync_system/sync_state_machine/datasource/jsonl/datasource.py
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2026-03-24 08:40:40 +08:00

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"""
JsonlDataSource - JSONL 文件数据源
职责:
- 提供 JSONL 文件目录管理
- 实现 DataSource 接口(load_all, sync_all
- 管理内存缓存和文件写入
- 统一异常处理和状态管理
"""
from __future__ import annotations
import json
import re
from pathlib import Path
from typing import Dict, Any, Set, Callable, List, Optional
from ..datasource import BaseDataSource
class JsonlDataSource(BaseDataSource):
"""
JSONL 文件数据源
提供文件路径和基础功能,具体的文件查找和读取由各个 Handler 负责。
Args:
dir_path: JSONL 文件目录
read_only: 是否只读模式
示例:
datasource = JsonlDataSource(Path("filtered_datasource/datasource/ecm-2025-12-02"))
datasource.register_handler(ContractJsonlHandler(datasource))
collection = DataCollection()
datasource.set_collection(collection)
await datasource.load_all(order=["project", "contract"])
await datasource.sync_all(order=["project", "contract"])
"""
def __init__(self, dir_path: Path, read_only: bool = False):
super().__init__()
self.dir_path = Path(dir_path)
self.read_only = read_only
# 用于 create/update/delete 的内存缓存
self._data: Dict[str, Dict[str, Dict[str, Any]]] = {} # {node_type: {id: data}}
self._dirty_types: Set[str] = set()
self._node_items_cache: Dict[str, Dict[str, Any]] = {}
def _on_node_loaded(self, handler, node) -> None:
node.append_log(
f"JSONL链路[load] dir={self.dir_path.as_posix()} node_type={node.node_type} data_id={node.data_id or '<empty>'}"
)
def _on_in_progress_result(self, handler, node, result) -> None:
node.append_log(
f"JSONL链路[submit] action={node.action.value} data_id={node.data_id or '<empty>'}"
)
def _on_poll_result(self, handler, node, task_id: str, result) -> None:
node.append_log(
f"JSONL链路[poll] task_id={task_id} status={result.status.value}"
)
def invalidate_node_cache(self, node_type: str) -> None:
self._node_items_cache.pop(node_type, None)
def _matching_files(self, node_type: str) -> List[Path]:
if not self.dir_path.exists():
return []
pattern = re.compile(rf"^{re.escape(node_type)}_\d+\.jsonl$")
return sorted(
file_path
for file_path in self.dir_path.iterdir()
if pattern.match(file_path.name)
)
def _build_cache_entry(
self,
*,
node_type: str,
extract_id: Callable[[Dict[str, Any]], str],
) -> Dict[str, Any]:
files = self._matching_files(node_type)
signature = tuple(
(file_path.name, file_path.stat().st_mtime_ns, file_path.stat().st_size)
for file_path in files
)
cached = self._node_items_cache.get(node_type)
if cached and cached.get("signature") == signature:
return cached
items: List[Dict[str, Any]] = []
data_id_index: Dict[str, List[Dict[str, Any]]] = {}
project_index: Dict[str, List[Dict[str, Any]]] = {}
no_project_items: List[Dict[str, Any]] = []
for file_path in files:
with open(file_path, "r", encoding="utf-8") as f:
for line_num, line in enumerate(f, 1):
line = line.strip()
if not line:
continue
try:
item = json.loads(line)
except json.JSONDecodeError:
print(f"Warning: Invalid JSON in {file_path.name}:{line_num}")
continue
items.append(item)
item_id = extract_id(item)
if item_id:
data_id_index.setdefault(str(item_id), []).append(item)
project_id = item.get("project_id")
if project_id:
project_index.setdefault(str(project_id), []).append(item)
else:
no_project_items.append(item)
entry = {
"signature": signature,
"items": items,
"data_id_index": data_id_index,
"project_index": project_index,
"no_project_items": no_project_items,
}
self._node_items_cache[node_type] = entry
return entry
def get_items_for_load(
self,
*,
node_type: str,
extract_id: Callable[[Dict[str, Any]], str],
data_id_filter: Optional[List[str]] = None,
filter_on_project_id: bool = False,
) -> List[Dict[str, Any]]:
entry = self._build_cache_entry(node_type=node_type, extract_id=extract_id)
filters = [str(item) for item in (data_id_filter or []) if str(item)]
if not filters:
return list(entry["items"])
if not filter_on_project_id:
matched: List[Dict[str, Any]] = []
for data_id in filters:
matched.extend(entry["data_id_index"].get(data_id, []))
return matched
matched = list(entry["no_project_items"])
for project_id in filters:
matched.extend(entry["project_index"].get(project_id, []))
return matched
# load_all 和 sync_all 继承自 BaseDataSource
# 保存逻辑在 BaseJsonlHandler 中实现