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fix: gate extractor debug logging #25

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fix: gate extractor debug logging #25

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32 changes: 24 additions & 8 deletions src/mcp_memory/core/extractor.py
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Original file line number Diff line number Diff line change
Expand Up @@ -8,6 +8,7 @@

import sys
import json
import logging
from typing import Optional, List
from tenacity import retry, stop_after_attempt, wait_exponential

Expand All @@ -22,6 +23,9 @@
from .ontology import Ontology, get_ontology_manager


logger = logging.getLogger("mcp_memory.extractor")


# Prompt d'extraction MINIMAL (fallback sans ontologie).
# Toute la logique métier (types d'entités, relations, règles) vient de l'ontologie.
# Ce prompt n'est utilisé que par extract_from_text() quand aucune ontologie n'est chargée.
Expand Down Expand Up @@ -78,6 +82,7 @@ def __init__(self):
self._max_tokens = settings.llmaas_max_tokens
self._temperature = settings.llmaas_temperature
self._max_text_length = settings.extraction_max_text_length
self._debug = settings.mcp_server_debug

@retry(
stop=stop_after_attempt(3),
Expand Down Expand Up @@ -119,19 +124,30 @@ async def extract_from_text(
# Note: response_format non supporté par LLMaaS Cloud Temple
)

# Parser la réponse - DEBUG COMPLET
print(f"🔍 [Extractor] DEBUG response type: {type(response)}", file=sys.stderr)
print(f"🔍 [Extractor] DEBUG choices count: {len(response.choices)}", file=sys.stderr)
if response.choices:
print(f"🔍 [Extractor] DEBUG message: {response.choices[0].message}", file=sys.stderr)
print(f"🔍 [Extractor] DEBUG finish_reason: {response.choices[0].finish_reason}", file=sys.stderr)
# Debug payload details can include model output. Keep them behind
# the explicit server debug flag to avoid noisy production logs.
if self._debug:
logger.debug("[Extractor] response type: %s", type(response))
logger.debug("[Extractor] choices count: %s", len(response.choices))
if response.choices:
logger.debug("[Extractor] message: %s", response.choices[0].message)
logger.debug(
"[Extractor] finish_reason: %s",
response.choices[0].finish_reason,
)

content = response.choices[0].message.content
if content is None:
print(f"⚠️ [Extractor] Réponse LLM vide - message complet: {response.choices[0].message}", file=sys.stderr)
print("⚠️ [Extractor] Réponse LLM vide", file=sys.stderr)
if self._debug:
logger.debug(
"[Extractor] empty LLM response message: %s",
response.choices[0].message,
)
return ExtractionResult(summary=None)

print(f"🔍 [Extractor] DEBUG content length: {len(content)}", file=sys.stderr)
if self._debug:
logger.debug("[Extractor] content length: %s", len(content))
result = self._parse_extraction(content)

print(f"✅ [Extractor] Extrait: {len(result.entities)} entités, {len(result.relations)} relations", file=sys.stderr)
Expand Down