234 lines
9.2 KiB
Python
234 lines
9.2 KiB
Python
# data_collector.py
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"""数据采集器：管理 Episode 数据记录与上上传。
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纯业务逻辑，无 UI 依赖。通过回调与 UI 层通信。
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"""
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import io
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import json
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import pickle
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import datetime
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import threading
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import requests
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from api import device_post, the_folder
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class DataCollector:
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"""管理控制过程中的 Episode 数据采集与保存"""
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def __init__(self):
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self.episode_data_raw = [] # 所有已完成的 Episode
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self.current_episode = None # 当前正在记录的 Episode
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self.last_target_record = None
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self._on_log = None
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self._on_upload_complete = None
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def set_log_callback(self, callback):
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"""设置日志回调"""
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self._on_log = callback
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def set_upload_complete_callback(self, callback):
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"""设置控制数据上传完成回调。
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callback(success, manifest, error) 会在后台上传线程中调用。成功时
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manifest 是已上传的清单字典；失败时 error 为可展示的错误信息。
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"""
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self._on_upload_complete = callback
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def log(self, message):
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if self._on_log:
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self._on_log(message)
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def _notify_upload_complete(self, success, manifest=None, error=None):
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if self._on_upload_complete:
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self._on_upload_complete(success, manifest, error)
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def _upload_to_server(self, data_bytes: bytes, filename: str, folder: str) -> bool:
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"""向 ReinLoop 云服务器申请上传地址并上传控制数据。"""
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try:
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result = device_post({
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"type": "uploadDataFile",
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"fileName": filename,
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"folder": folder,
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}, timeout=30)
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except Exception as e:
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self.log(f"向云服务器申请上传地址异常: {e}")
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return False
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if not result.get("success"):
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self.log(f"申请服务器上传地址失败: {result.get('errMsg', result)}")
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return False
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meta = result.get("uploadMetadata")
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if not meta or "url" not in meta:
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self.log("云服务器未返回有效的上传地址")
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return False
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try:
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files = {"file": (filename, io.BytesIO(data_bytes))}
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upload_resp = requests.post(meta["url"], files=files, timeout=60)
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if upload_resp.status_code in [200, 204]:
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return True
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else:
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self.log(f"云服务器上传失败，状态码: {upload_resp.status_code}")
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return False
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except Exception as e:
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self.log(f"云服务器上传异常: {e}")
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return False
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def reset(self):
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"""重置所有采集状态（控制启动时调用）"""
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self.episode_data_raw = []
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self.current_episode = None
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self.last_target_record = None
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def record_step(self, cycle_count: int, current_pressure: float,
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target_pressure: float, valve_opening: float,
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kp: float, ki: float, kd: float,
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q_in: float, v: float):
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"""记录一个控制周期的数据点
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Args:
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cycle_count: 控制周期计数
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current_pressure: 当前压力
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target_pressure: 目标压力
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valve_opening: 阀门开度
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kp, ki, kd: PID 参数
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q_in: 流量
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v: 容积
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"""
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# 目标压力变化时自动切分 Episode
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if self.current_episode is None or target_pressure != self.last_target_record:
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if self.current_episode is not None:
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self.episode_data_raw.append(self.current_episode)
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self.log(f"Episode 结束，已记录 {len(self.current_episode['pressures'])} 个点")
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self.current_episode = {
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'pid': [float(kp), float(ki), float(kd)],
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'target_pressure': target_pressure,
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'Q_in': q_in,
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'V': v,
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'steps': [],
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'pressures': [],
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'errors': [],
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'valves': []
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}
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self.last_target_record = target_pressure
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# 记录当前步数据
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error = -(target_pressure - current_pressure)
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self.current_episode['steps'].append(cycle_count)
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self.current_episode['pressures'].append(current_pressure)
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self.current_episode['errors'].append(error)
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self.current_episode['valves'].append(float(valve_opening))
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def finalize_and_upload(self, flow: float, vol: float):
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"""停止控制时：闭合最后一个 Episode，分片上传到云存储。
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单文件超过 5MB 时自动拆分为多个分片，
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同时上传一个 manifest.json 记录所有分片信息。
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Args:
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flow: 流量值 (用于文件名/路径)
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vol: 容积值 (用于文件名/路径)
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"""
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# 闭合最后一个 Episode
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if self.current_episode and len(self.current_episode['pressures']) > 0:
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self.episode_data_raw.append(self.current_episode)
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self.current_episode = None
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if not self.episode_data_raw:
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return
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# 上传在线程中继续执行，因此必须持有本轮数据快照。否则 finally
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# 清空缓存后，异步线程生成的 manifest 会错误地显示 0 个 Episode。
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episodes = list(self.episode_data_raw)
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try:
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timestamp = datetime.datetime.now().strftime('%Y%m%d_%H%M%S_%f')
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base_folder = f"{the_folder}/data_record/data_{flow}SLM_{vol}L"
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# 拆成每片尽量不超过 5MB 的 episode 分组
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MAX_CHUNK_BYTES = 5 * 1024 * 1024 # 5MB
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chunks = [] # [(chunk_index, episodes_subset)]
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current_chunk = []
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for ep in episodes:
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current_chunk.append(ep)
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if pickle.dumps(current_chunk).__len__() >= MAX_CHUNK_BYTES:
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# 当前片已满，回退一个 episode 后保存
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current_chunk.pop()
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# 单个 Episode 也可能超过 5 MB；此时仍上传该 Episode，
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# 而不是产生一个无内容的空分片。
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if current_chunk:
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chunks.append(current_chunk)
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current_chunk = [ep]
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if current_chunk:
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chunks.append(current_chunk)
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total_chunks = len(chunks)
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self.log(f"控制数据共 {len(episodes)} 个 Episode，"
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f"拆为 {total_chunks} 个分片上传")
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def upload_all():
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part_files = []
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part_metadata = []
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for idx, chunk_eps in enumerate(chunks):
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data_bytes = pickle.dumps(chunk_eps)
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size_kb = len(data_bytes) / 1024
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part_filename = f'episode_raw_data_{timestamp}_part{idx + 1}of{total_chunks}.pkl'
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self.log(f" 上传分片 {idx + 1}/{total_chunks} ({size_kb:.0f} KB)...")
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if self._upload_to_server(data_bytes, part_filename, base_folder):
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part_files.append(part_filename)
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part_metadata.append({
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"file_name": part_filename,
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"episode_count": len(chunk_eps),
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"size_bytes": len(data_bytes),
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})
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else:
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self.log(f" 分片 {idx + 1} 上传失败")
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# 上传 manifest
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manifest = {
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"schema_version": 1,
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"data_type": "control_episode",
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"run_id": timestamp,
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"timestamp": timestamp,
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"folder": base_folder,
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"total_chunks": total_chunks,
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"uploaded_chunks": len(part_files),
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"part_files": part_files,
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"parts": part_metadata,
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"total_episodes": len(episodes),
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"flow": flow,
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"volume": vol,
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}
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manifest_str = json.dumps(manifest, indent=2, ensure_ascii=False)
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manifest_bytes = manifest_str.encode('utf-8')
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manifest_filename = f'episode_raw_data_{timestamp}_manifest.json'
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manifest_uploaded = self._upload_to_server(
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manifest_bytes, manifest_filename, base_folder
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)
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if len(part_files) == total_chunks and manifest_uploaded:
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self.log(f"控制数据上传成功 ({total_chunks} 个分片)")
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self._notify_upload_complete(True, manifest, None)
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else:
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error = (
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"控制数据清单上传失败"
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if not manifest_uploaded
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else f"控制数据部分上传失败 ({len(part_files)}/{total_chunks})"
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)
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self.log(error)
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self._notify_upload_complete(False, manifest, error)
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threading.Thread(target=upload_all, daemon=True).start()
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except Exception as e:
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self.log(f"保存收集数据时发生错误: {e}")
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self._notify_upload_complete(False, None, str(e))
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finally:
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self.episode_data_raw = []
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