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5df8a73 | 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 | """
Progress Tracker - Tracks knowledge base initialization progress
"""
import asyncio
from collections.abc import Callable
from datetime import datetime
from enum import Enum
import json
from pathlib import Path
import logging
# Use unified logging system
from deeptutor.logging import get_logger
_logger = get_logger("KnowledgeInit")
def _get_logger():
return _logger
class ProgressStage(Enum):
"""Initialization stage"""
INITIALIZING = "initializing" # Initializing
PROCESSING_DOCUMENTS = "processing_documents" # Processing documents
PROCESSING_FILE = "processing_file" # Processing single file
EXTRACTING_ITEMS = "extracting_items" # Extracting numbered items
COMPLETED = "completed" # Completed
ERROR = "error" # Error
class ProgressTracker:
"""Progress tracker"""
def __init__(self, kb_name: str, base_dir: Path):
self.kb_name = kb_name
self.base_dir = base_dir
self.kb_dir = base_dir / kb_name
self.progress_file = self.kb_dir / ".progress.json"
self._callbacks: list = [] # Support multiple callbacks
self.task_id: str | None = None # Task ID (for log identification)
def set_callback(self, callback: Callable[[dict], None]):
"""Set progress callback function (can be called multiple times to add multiple callbacks)"""
if callback not in self._callbacks:
self._callbacks.append(callback)
def remove_callback(self, callback: Callable[[dict], None]):
"""Remove progress callback function"""
if callback in self._callbacks:
self._callbacks.remove(callback)
def _notify(self, progress: dict):
"""Notify progress update (call all callbacks)"""
from deeptutor.runtime.mode import is_server
if is_server():
try:
from deeptutor.api.utils.progress_broadcaster import ProgressBroadcaster
broadcaster = ProgressBroadcaster.get_instance()
try:
asyncio.get_running_loop()
asyncio.create_task(broadcaster.broadcast(self.kb_name, progress))
except RuntimeError:
try:
loop = asyncio.get_event_loop()
if loop.is_running():
asyncio.create_task(broadcaster.broadcast(self.kb_name, progress))
except RuntimeError:
pass
except (ImportError, Exception):
pass
for callback in self._callbacks:
try:
callback(progress)
except Exception as e:
_get_logger().debug("Progress callback error: %s", e)
def _save_progress(self, progress: dict):
"""Save progress to kb_config.json and local .progress.json file"""
# Save to kb_config.json (centralized config)
try:
from deeptutor.knowledge.manager import KnowledgeBaseManager
manager = KnowledgeBaseManager(base_dir=str(self.base_dir))
# Determine status based on stage
stage = progress.get("stage", "")
if stage == "completed":
status = "ready"
elif stage == "error":
status = "error"
elif stage in [
"initializing",
"processing_documents",
"processing_file",
"extracting_items",
]:
status = "processing"
else:
status = "initializing"
# Update kb_config.json with status and progress
manager.update_kb_status(
name=self.kb_name,
status=status,
progress={
"stage": progress.get("stage"),
"message": progress.get("message"),
"percent": progress.get("progress_percent", 0),
"current": progress.get("current", 0),
"total": progress.get("total", 0),
"file_name": progress.get("file_name"),
"error": progress.get("error"),
"timestamp": progress.get("timestamp"),
"task_id": progress.get("task_id"),
},
)
except Exception as e:
_get_logger().warning("Failed to save progress to kb_config.json: %s", e)
def update(
self,
stage: ProgressStage,
message: str = "",
current: int = 0,
total: int = 0,
file_name: str = "",
error: str | None = None,
):
"""Update progress"""
progress = {
"kb_name": self.kb_name,
"task_id": self.task_id,
"stage": stage.value,
"message": message,
"current": current,
"total": total,
"file_name": file_name,
"progress_percent": int(current / total * 100) if total > 0 else 0,
"timestamp": datetime.now().isoformat(),
}
if error:
progress["error"] = error
progress["stage"] = ProgressStage.ERROR.value
# Output to logger (terminal and log file)
try:
logger = _get_logger()
prefix = f"[{self.task_id}]" if self.task_id else ""
if total > 0:
percent = progress["progress_percent"]
progress_msg = f"{prefix} {message} ({current}/{total}, {percent}%)"
if file_name:
progress_msg += f" - File: {file_name}"
else:
progress_msg = f"{prefix} {message}"
if file_name:
progress_msg += f" - File: {file_name}"
if error:
logger.error(f"{progress_msg} - Error: {error}")
else:
logger.progress(progress_msg)
except Exception:
# If unified logging fails unexpectedly, use stdlib logger as fallback.
fallback_logger = logging.getLogger("deeptutor.ProgressTracker")
prefix = f"[{self.task_id}]" if self.task_id else ""
fallback_logger.warning(
"%s [ProgressTracker] %s (%s/%s)",
prefix,
message,
current,
total if total > 0 else "?",
)
if error:
fallback_logger.error("%s [ProgressTracker] Error: %s", prefix, error)
self._save_progress(progress)
self._notify(progress)
def get_progress(self) -> dict | None:
"""Get current progress"""
if not self.progress_file.exists():
return None
try:
with open(self.progress_file, encoding="utf-8") as f:
return json.load(f)
except Exception as e:
_get_logger().debug(f"Failed to read progress file for '{self.kb_name}': {e}")
return None
def clear(self):
"""Clear progress file"""
if self.progress_file.exists():
try:
self.progress_file.unlink()
except Exception as e:
_get_logger().debug(f"Failed to clear progress file for '{self.kb_name}': {e}")
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