feat: implement AtoCore Phase 0 + Phase 0.5 (foundation + PoC)
Complete implementation of the personal context engine foundation: - FastAPI server with 5 endpoints (ingest, query, context/build, health, debug) - SQLite database with 5 tables (documents, chunks, memories, projects, interactions) - Heading-aware markdown chunker (800 char max, recursive splitting) - Multilingual embeddings via sentence-transformers (EN/FR) - ChromaDB vector store with cosine similarity retrieval - Context builder with project boosting, dedup, and budget enforcement - CLI scripts for batch ingestion and test prompt evaluation - 19 unit tests passing, 79% coverage - Validated on 482 real project files (8383 chunks, 0 errors) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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src/atocore/observability/__init__.py
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src/atocore/observability/__init__.py
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src/atocore/observability/logger.py
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src/atocore/observability/logger.py
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"""Structured logging for AtoCore."""
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import logging
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import structlog
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from atocore.config import settings
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_LOG_LEVELS = {
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"DEBUG": logging.DEBUG,
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"INFO": logging.INFO,
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"WARNING": logging.WARNING,
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"ERROR": logging.ERROR,
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}
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def setup_logging() -> None:
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"""Configure structlog with JSON output."""
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log_level = "DEBUG" if settings.debug else "INFO"
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structlog.configure(
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processors=[
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structlog.contextvars.merge_contextvars,
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structlog.processors.add_log_level,
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structlog.processors.TimeStamper(fmt="iso"),
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structlog.dev.ConsoleRenderer()
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if settings.debug
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else structlog.processors.JSONRenderer(),
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],
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wrapper_class=structlog.make_filtering_bound_logger(
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_LOG_LEVELS.get(log_level, logging.INFO)
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),
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context_class=dict,
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logger_factory=structlog.PrintLoggerFactory(),
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cache_logger_on_first_use=True,
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)
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def get_logger(name: str) -> structlog.BoundLogger:
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"""Get a named logger."""
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return structlog.get_logger(name)
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