e6b43082db
This commit introduces the foundational structure for the Deal Intel project, including: - Environment configuration file (.env.example) for managing secrets and API keys. - Scripts for building a ChromaDB vector store (build_vector_store.py) and training machine learning models (train_rf.py, train_ensemble.py). - Health check functionality (health_check.py) to ensure system readiness. - A launcher script (launcher.py) for executing various commands, including UI launch and health checks. - Logging utilities (logging_utils.py) for consistent logging across the application. - A README file providing an overview and setup instructions for the project. These additions establish a comprehensive framework for an agentic deal-hunting AI system, integrating various components for data processing, model training, and user interaction.
36 lines
1.1 KiB
Python
36 lines
1.1 KiB
Python
#!/usr/bin/env python3
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"""
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Shared logging utilities for Deal Intel.
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"""
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import logging
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import os
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from typing import Optional
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DEFAULT_FORMAT = "[%(asctime)s] [%(name)s] [%(levelname)s] %(message)s"
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DEFAULT_DATEFMT = "%Y-%m-%d %H:%M:%S %z"
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def init_logger(name: str, level: Optional[str] = None) -> logging.Logger:
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"""
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Initialize and return a logger with consistent formatting.
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Level can be overridden via env DEAL_INTEL_LOG_LEVEL.
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"""
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logger = logging.getLogger(name)
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if logger.handlers:
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return logger # avoid duplicate handlers
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env_level = os.getenv("DEAL_INTEL_LOG_LEVEL", "INFO")
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level = level or env_level
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level_map = {
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"CRITICAL": logging.CRITICAL,
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"ERROR": logging.ERROR,
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"WARNING": logging.WARNING,
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"INFO": logging.INFO,
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"DEBUG": logging.DEBUG,
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}
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logger.setLevel(level_map.get(level.upper(), logging.INFO))
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handler = logging.StreamHandler()
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handler.setFormatter(logging.Formatter(DEFAULT_FORMAT, datefmt=DEFAULT_DATEFMT))
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logger.addHandler(handler)
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return logger |