775ffa5082
- Fixed status filtering to occur before pagination for correct counts - Resolved N+1 query problem by batch-fetching processing statuses - Extracted status computation logic to shared utility function - Changed sort indicator from ⬍ to ↕ for better browser compatibility - Updated both API and view layers to use shared status utilities Co-authored-by: christianlouis <361235+christianlouis@users.noreply.github.com>
103 lines
2.7 KiB
Python
103 lines
2.7 KiB
Python
"""
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Utility functions for file processing status determination.
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"""
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from typing import Dict, List
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from sqlalchemy.orm import Session
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from app.models import ProcessingLog
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def get_file_processing_status(db: Session, file_id: int) -> Dict:
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"""
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Get the processing status for a file by checking its processing logs.
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Args:
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db: Database session
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file_id: ID of the file
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Returns:
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dict with status, last_step, and has_errors
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"""
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# Get all logs for this file
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logs = db.query(ProcessingLog).filter(
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ProcessingLog.file_id == file_id
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).order_by(ProcessingLog.timestamp.desc()).all()
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return _compute_status_from_logs(logs)
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def get_files_processing_status(db: Session, file_ids: List[int]) -> Dict[int, Dict]:
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"""
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Get processing status for multiple files efficiently.
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Args:
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db: Database session
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file_ids: List of file IDs
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Returns:
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dict mapping file_id to status dict
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"""
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# Get all logs for these files in one query
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logs = db.query(ProcessingLog).filter(
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ProcessingLog.file_id.in_(file_ids)
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).order_by(ProcessingLog.file_id, ProcessingLog.timestamp.desc()).all()
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# Group logs by file_id
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logs_by_file = {}
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for log in logs:
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if log.file_id not in logs_by_file:
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logs_by_file[log.file_id] = []
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logs_by_file[log.file_id].append(log)
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# Compute status for each file
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result = {}
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for file_id in file_ids:
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file_logs = logs_by_file.get(file_id, [])
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result[file_id] = _compute_status_from_logs(file_logs)
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return result
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def _compute_status_from_logs(logs: List[ProcessingLog]) -> Dict:
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"""
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Compute processing status from a list of processing logs.
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Args:
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logs: List of ProcessingLog objects (should be ordered by timestamp desc)
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Returns:
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dict with status, last_step, has_errors, and total_steps
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"""
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if not logs:
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return {
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"status": "pending",
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"last_step": None,
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"has_errors": False,
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"total_steps": 0
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}
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# Check for failures
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has_errors = any(log.status == "failure" for log in logs)
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# Check if any in progress
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in_progress = any(log.status == "in_progress" for log in logs)
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# Get the latest log
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latest_log = logs[0]
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# Determine overall status
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if has_errors:
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status = "failed"
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elif in_progress:
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status = "processing"
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elif latest_log.status == "success":
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status = "completed"
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else:
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status = "pending"
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return {
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"status": status,
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"last_step": latest_log.step_name,
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"has_errors": has_errors,
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"total_steps": len(logs)
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}
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