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Progress Tracker Utility
Tracks operation progress in memory for HTTP polling access.
"""
from datetime import datetime
from typing import Any, cast
from ...config.logfire_config import safe_logfire_error, safe_logfire_info
class ProgressTracker:
"""
Utility class for tracking progress updates in memory.
State can be accessed via HTTP polling endpoints.
"""
# Class-level storage for all progress states
_progress_states: dict[str, dict[str, Any]] = {}
def __init__(self, progress_id: str, operation_type: str = "crawl"):
"""
Initialize the progress tracker.
Args:
progress_id: Unique progress identifier
operation_type: Type of operation (crawl, upload, etc.)
"""
self.progress_id = progress_id
self.operation_type = operation_type
self.state: dict[str, Any] = {
"progress_id": progress_id,
"type": operation_type, # Store operation type for progress model selection
"start_time": datetime.now().isoformat(),
"status": "initializing",
"progress": 0,
"logs": [],
}
# Store in class-level dictionary
ProgressTracker._progress_states[progress_id] = self.state
@classmethod
def get_progress(cls, progress_id: str) -> dict[str, Any] | None:
"""Get progress state by ID."""
return cls._progress_states.get(progress_id)
@classmethod
def clear_progress(cls, progress_id: str) -> None:
"""Remove progress state from memory."""
if progress_id in cls._progress_states:
del cls._progress_states[progress_id]
async def start(self, initial_data: dict[str, Any] | None = None):
"""
Start progress tracking with initial data.
Args:
initial_data: Optional initial data to include
"""
self.state["status"] = "starting"
self.state["start_time"] = datetime.now().isoformat()
if initial_data:
self.state.update(initial_data)
self._update_state()
safe_logfire_info(f"Progress tracking started | progress_id={self.progress_id} | type={self.operation_type}")
async def update(self, status: str, progress: int, log: str, **kwargs):
"""
Update progress with status, progress, and log message.
Args:
status: Current status (analyzing, crawling, processing, etc.)
progress: Progress value (0-100)
log: Log message describing current operation
**kwargs: Additional data to include in update
"""
# CRITICAL: Never allow progress to go backwards
current_progress = cast(int, self.state.get("progress", 0))
new_progress = min(100, max(0, progress)) # Ensure 0-100
# Only update if new progress is greater than or equal to current
# (equal allows status updates without progress regression)
if new_progress < current_progress:
safe_logfire_info(
f"Progress backwards prevented: {current_progress}% -> {new_progress}% | "
f"progress_id={self.progress_id} | status={status}"
)
# Keep the higher progress value
actual_progress = current_progress
else:
actual_progress = new_progress
self.state.update(
{
"status": status,
"progress": actual_progress,
"log": log,
"timestamp": datetime.now().isoformat(),
}
)
# Add log entry
if "logs" not in self.state:
self.state["logs"] = []
logs_list = cast(list[dict[str, Any]], self.state["logs"])
logs_list.append(
{
"timestamp": datetime.now().isoformat(),
"message": log,
"status": status,
"progress": progress,
}
)
# Add any additional data
for key, value in kwargs.items():
self.state[key] = value
self._update_state()
async def complete(self, completion_data: dict[str, Any] | None = None):
"""
Mark progress as completed with optional completion data.
Args:
completion_data: Optional data about the completed operation
"""
self.state["status"] = "completed"
self.state["progress"] = 100
self.state["end_time"] = datetime.now().isoformat()
if completion_data:
self.state.update(completion_data)
# Calculate duration
if "start_time" in self.state:
start_str = cast(str, self.state["start_time"])
end_str = cast(str, self.state["end_time"])
start = datetime.fromisoformat(start_str)
end = datetime.fromisoformat(end_str)
duration = (end - start).total_seconds()
self.state["duration"] = str(duration) # Convert to string for Pydantic model
self.state["duration_formatted"] = self._format_duration(duration)
self._update_state()
safe_logfire_info(
f"Progress completed | progress_id={self.progress_id} | type={self.operation_type} | duration={self.state.get('duration_formatted', 'unknown')}"
)
async def error(self, error_message: str, error_details: dict[str, Any] | None = None):
"""
Mark progress as failed with error information.
Args:
error_message: Error message
error_details: Optional additional error details
"""
self.state.update(
{
"status": "error",
"error": error_message,
"error_time": datetime.now().isoformat(),
}
)
if error_details:
self.state["error_details"] = error_details
self._update_state()
safe_logfire_error(
f"Progress error | progress_id={self.progress_id} | type={self.operation_type} | error={error_message}"
)
async def update_batch_progress(self, current_batch: int, total_batches: int, batch_size: int, message: str):
"""
Update progress for batch operations.
Args:
current_batch: Current batch number (1-based)
total_batches: Total number of batches
batch_size: Size of each batch
message: Progress message
"""
progress_val = int((current_batch / total_batches) * 100)
await self.update(
status="processing_batch",
progress=progress_val,
log=message,
current_batch=current_batch,
total_batches=total_batches,
batch_size=batch_size,
)
async def update_crawl_stats(self, processed_pages: int, total_pages: int, current_url: str | None = None):
"""
Update crawling statistics.
Args:
processed_pages: Number of pages processed
total_pages: Total pages to process
current_url: Currently processing URL
"""
progress_val = int((processed_pages / max(total_pages, 1)) * 100)
log = f"Processing page {processed_pages}/{total_pages}"
if current_url:
log += f": {current_url}"
await self.update(
status="crawling",
progress=progress_val,
log=log,
processed_pages=processed_pages,
total_pages=total_pages,
current_url=current_url,
)
async def update_storage_progress(self, chunks_stored: int, total_chunks: int, operation: str = "storing"):
"""
Update document storage progress.
Args:
chunks_stored: Number of chunks stored
total_chunks: Total chunks to store
operation: Storage operation description
"""
progress_val = int((chunks_stored / max(total_chunks, 1)) * 100)
await self.update(
status="document_storage",
progress=progress_val,
log=f"{operation}: {chunks_stored}/{total_chunks} chunks",
chunks_stored=chunks_stored,
total_chunks=total_chunks,
)
async def update_code_extraction_progress(
self,
documents_processed: int,
total_documents: int,
code_blocks_found: int,
total_summaries: int,
current_file: str,
):
"""
Update code extraction progress.
Args:
documents_processed: Number of documents processed
total_documents: Total documents to process
code_blocks_found: Number of code blocks found
total_summaries: Total summaries to process
current_file: Currently processing file
"""
progress_val = int((documents_processed / max(total_documents, 1)) * 100)
await self.update(
status="code_extraction",
progress=progress_val,
log=f"Processing document {documents_processed}/{total_documents}",
documents_processed=documents_processed,
total_documents=total_documents,
code_blocks_found=code_blocks_found,
total_summaries=total_summaries,
current_file=current_file,
)
def _update_state(self):
"""Update progress state in memory storage."""
# Update the class-level dictionary
ProgressTracker._progress_states[self.progress_id] = self.state
safe_logfire_info(
f"📊 [PROGRESS] Updated {self.operation_type} | ID: {self.progress_id} | "
f"Status: {self.state.get('status')} | Progress: {self.state.get('progress')}%"
)
def _format_duration(self, seconds: float) -> str:
"""Format duration in seconds to human-readable string."""
if seconds < 60:
return f"{seconds:.1f} seconds"
elif seconds < 3600:
minutes = seconds / 60
return f"{minutes:.1f} minutes"
else:
hours = seconds / 3600
return f"{hours:.1f} hours"
def get_state(self) -> dict[str, Any]:
"""Get current progress state."""
return self.state.copy()
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