Matteo Benedetto
4776b4b496
- gateway: separate config, models, state, audit, guardrail, embeddings, store, metrics, cleanup and routes; keep main.py as FastAPI bootstrap - extension: split client/config, six tools, config command and rules; preserve jiti entrypoint and registrations - Dockerfile copies the complete gateway module set - tests: update monkeypatch boundaries for modular config/state
44 lines
1.9 KiB
Python
44 lines
1.9 KiB
Python
"""Configurazione statica del Memory Gateway letta dall'ambiente."""
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from __future__ import annotations
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import logging
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import os
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from collections import Counter
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from typing import Any
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QDRANT_URL = os.environ.get("QDRANT_URL", "http://127.0.0.1:6333")
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QDRANT_API_KEY = os.environ.get("QDRANT_API_KEY", "")
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EMBED_API = os.environ.get("EMBED_API", "ollama")
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EMBED_URL = os.environ.get("EMBED_URL", os.environ.get("OLLAMA_URL", "http://127.0.0.1:11434"))
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EMBED_MODEL = os.environ.get("EMBED_MODEL", "bge-m3")
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EMBED_API_KEY = os.environ.get("EMBED_API_KEY", "")
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EMBED_DIM = int(os.environ.get("EMBED_DIM", "1024"))
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COLLECTION = os.environ.get("COLLECTION", "memories")
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API_KEYS: set[str] = {k.strip() for k in os.environ.get("API_KEYS", "").split(",") if k.strip()}
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RATE_LIMIT_PER_MIN = int(os.environ.get("RATE_LIMIT_PER_MIN", "120"))
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MAX_TEXT_LEN = int(os.environ.get("MAX_TEXT_LEN", "8000"))
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GUARDRAIL_ENABLED = os.environ.get("GUARDRAIL_ENABLED", "true").lower() == "true"
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GUARDRAIL_BLOCK_THRESHOLD = float(os.environ.get("GUARDRAIL_BLOCK_THRESHOLD", "0.85"))
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GUARDRAIL_WARN_THRESHOLD = float(os.environ.get("GUARDRAIL_WARN_THRESHOLD", "0.70"))
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GUARDRAIL_VERSION = "similarity-v1"
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GIT_COMMIT = os.environ.get("GIT_COMMIT", "unknown").strip()
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GATEWAY_VERSION = os.environ.get("GATEWAY_VERSION", "2.8.0").strip()
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VM_PUSH_URL = os.environ.get("VM_PUSH_URL", "http://host.docker.internal:8428/api/v1/import/prometheus")
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VM_PUSH_INTERVAL = int(os.environ.get("VM_PUSH_INTERVAL", "30"))
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METRICS_ENABLED = os.environ.get("METRICS_ENABLED", "true").lower() == "true"
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logging.basicConfig(level=logging.INFO, format="%(asctime)s %(levelname)s %(message)s")
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log = logging.getLogger("memory-gateway")
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SPARSE_VECTOR_NAME = "bm25"
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_metrics: dict[str, Any] = {
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"requests": Counter(),
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"duration_sum": Counter(),
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"duration_count": Counter(),
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"errors": Counter(),
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"search_queries": 0,
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"search_hits": 0,
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}
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