""" Task to ingest and transform documents to markdown using yourbench """ import os import time import pathlib import subprocess import threading from typing import Optional, List, Tuple, Dict, Any import yaml from loguru import logger class CreateBenchTask: """ Task to ingest and transform documents to markdown using yourbench """ def __init__(self, session_uid: str, config_path: Optional[str] = None): """ Initialize the ingestion task Args: session_uid: Session ID for this task config_path: Path to the configuration file, will be generated if None """ self.session_uid = session_uid self.logs: List[str] = [] self.is_completed = False self.process = None self.is_running_flag = threading.Event() # Default config path if not provided if config_path is None: config_path = f"uploaded_files/{session_uid}/config.yml" self.config_path = config_path # Command to run yourbench - modified to avoid error with uv run self.command = ["yourbench", "run", "--config", str(self.config_path)] self._add_log("[INFO] Initializing ingestion task") self._add_log(f"[INFO] Using configuration file: {self.config_path}") def _add_log(self, message: str) -> None: """ Add a log message to the logs list Args: message: Log message to add """ if message not in self.logs: # Avoid duplicates self.logs.append(message) # Force copy of the list to avoid reference problems self.logs = self.logs.copy() # Log to system logs logger.info(f"[{self.session_uid}] {message}") def get_logs(self) -> List[str]: """ Get all logs for this task Returns: List of log messages """ return self.logs.copy() # Return a copy to avoid reference problems def is_task_completed(self) -> bool: """ Check if the task is completed Returns: True if completed, False otherwise """ return self.is_completed def is_running(self) -> bool: """ Check if the process is running Returns: True if running, False otherwise """ return self.is_running_flag.is_set() def stop(self) -> None: """ Stop the process if it's running """ if self.process and self.is_running(): self._add_log("[INFO] Stopping ingestion process") try: self.process.terminate() # Wait 5 seconds for termination self.process.wait(timeout=5) except subprocess.TimeoutExpired: self._add_log("[WARN] Process not responding, forcing termination") self.process.kill() finally: self.is_running_flag.clear() self.is_completed = True self._add_log("[INFO] Ingestion process stopped") def _capture_output(self) -> None: """ Capture and process the output from the yourbench process """ self._add_log("[INFO] Starting output capture") try: while self.is_running() and self.process: line = self.process.stdout.readline() if not line: # If no line is read and the process is no longer running if self.process.poll() is not None: self.is_running_flag.clear() break # Otherwise, wait a bit and continue time.sleep(0.1) continue # Process the output line line = line.strip() if line: # Log raw output for debugging self._add_log(f"[DEBUG] Raw output: {line}") # Filter and format the line as needed if "ERROR" in line: self._add_log(f"[ERROR] {line}") elif "WARNING" in line: self._add_log(f"[WARN] {line}") else: # Detect completed stages if "Completed stage:" in line: # Extraire le nom de l'étape stage = line.split("'")[1] if "'" in line else line.split("Completed stage:")[1].strip() # Standardiser les noms d'étapes pour correspondre au frontend stage = self._standardize_stage_name(stage) self._add_log(f"[SUCCESS] Stage completed: {stage}") else: self._add_log(f"[INFO] {line}") # Check exit code once the process is finished if self.process: exit_code = self.process.poll() if exit_code == 0: self._add_log("[SUCCESS] Benchmark process completed successfully") else: self._add_log(f"[ERROR] Benchmark process terminated with error code: {exit_code}") except Exception as e: self._add_log(f"[ERROR] Error during output capture: {str(e)}") finally: self.is_completed = True self.is_running_flag.clear() self._add_log("[INFO] Output capture completed") def _standardize_stage_name(self, stage_name: str) -> str: """ Standardize the stage name to match the frontend expectations Args: stage_name: Original stage name Returns: Standardized stage name """ # Table de correspondance pour les noms d'étapes stage_mapping = { # Ajouter ici les correspondances nécessaires # exemple: "original_name": "standardized_name" "ingest": "ingestion", "upload": "upload_ingest_to_hub", "summarize": "summarization", "chunk": "chunking", "generate_questions": "single_shot_question_generation", } # Chercher des correspondances partielles for key, value in stage_mapping.items(): if key in stage_name.lower(): return value # Si aucune correspondance n'est trouvée, renvoyer le nom d'origine return stage_name def _simulate_ingestion_process(self) -> None: """ Simulate the ingestion process for development mode """ self._add_log("[INFO] Simulating ingestion process") # Simuler les étapes avec les mêmes noms que ceux attendus par le frontend steps = [ ("ingestion", 2), ("upload_ingest_to_hub", 3), ("summarization", 2), ("chunking", 3), ("single_shot_question_generation", 4) ] for step, delay in steps: # Ajouter un message de début d'étape self._add_log(f"[INFO] Processing {step}...") time.sleep(delay) # Simuler un délai # Marquer l'étape comme terminée self._add_log(f"[SUCCESS] Stage completed: {step}") # Marquer la tâche comme terminée self.is_completed = True self._add_log("[SUCCESS] Benchmark process completed successfully") def run(self, token: Optional[str] = None) -> None: """ Run the ingestion task Args: token: Hugging Face token """ try: self._add_log("[INFO] Starting ingestion process") # Check if the configuration file exists if not os.path.exists(self.config_path): raise FileNotFoundError(f"Configuration file does not exist: {self.config_path}") # Examine the configuration to get information try: with open(self.config_path, 'r') as f: config_yaml = yaml.safe_load(f) # Get source and destination paths source_dir = config_yaml.get("pipeline", {}).get("ingestion", {}).get("source_documents_dir", "") output_dir = config_yaml.get("pipeline", {}).get("ingestion", {}).get("output_dir", "") if source_dir: self._add_log(f"[INFO] Source directory: {source_dir}") if output_dir: self._add_log(f"[INFO] Output directory: {output_dir}") # List files to process if the directory exists if source_dir and os.path.exists(source_dir): files = os.listdir(source_dir) if files: self._add_log(f"[INFO] Files to process: {', '.join(files)}") else: self._add_log("[WARN] No files found in source directory") except Exception as e: self._add_log(f"[WARN] Unable to read configuration: {str(e)}") # Environment preparation env = os.environ.copy() # Explicitly define environment variables for authentication hf_token = os.getenv("HF_TOKEN") if hf_token: # Explicitly export these variables for yourbench env["HF_TOKEN"] = hf_token env["HUGGING_FACE_HUB_TOKEN"] = hf_token env["HF_ORGANIZATION"] = os.getenv("HF_ORGANIZATION", "yourbench") self._add_log("[INFO] Environment variables exported") # In development mode, only simulate ingestion if os.environ.get("DEVELOPMENT_MODE", "").lower() == "true": self._add_log("[INFO] Development mode enabled, simulating ingestion") self._simulate_ingestion_process() return # Start the process self._add_log(f"[INFO] Executing command: {' '.join(self.command)}") self.process = subprocess.Popen( self.command, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, text=True, bufsize=1, universal_newlines=True, env=env ) # Mark the process as running self.is_running_flag.set() # Start a thread to capture output output_thread = threading.Thread(target=self._capture_output) output_thread.daemon = True output_thread.start() self._add_log(f"[INFO] Process started with PID: {self.process.pid}") except Exception as e: self._add_log(f"[ERROR] Error starting ingestion process: {str(e)}") self.is_completed = True