personal memory agent
refactor(conversation): remove regex _extract_entities helper
- drop the record_exchange entity-extraction call
- remove the private _extract_entities helper entirely
- trim the stale record_exchange docstring note
-51
-51
think/conversation.py
-51
think/conversation.py
···
65
65
1. conversation/exchanges.jsonl — append-only quick-read index
66
66
2. YYYYMMDD/conversation/HHMMSS_1/talents/conversation.md — journal entry
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67
for FTS5 search indexing (matches */*/*/talents/*.md formatter pattern)
68
-
69
-
Also runs lightweight entity extraction on the conversation text.
70
68
"""
71
69
if not user_message or not agent_response:
72
70
return
···
128
126
f.write(md_content)
129
127
except Exception:
130
128
logger.exception("Failed to write conversation journal entry")
131
-
132
-
# 3. Entity extraction
133
-
_extract_entities(user_message + " " + agent_response, facet=facet, day=day)
134
-
135
-
136
-
def _extract_entities(text: str, *, facet: str, day: str) -> None:
137
-
"""Detect known entity names mentioned in conversation text.
138
-
139
-
Matches against attached entities for the active facet. Any matches
140
-
are recorded as detected entities for the day, integrating with the
141
-
existing entity signal infrastructure.
142
-
"""
143
-
if not facet:
144
-
return
145
-
146
-
try:
147
-
from think.entities.loading import load_entities
148
-
149
-
entities = load_entities(facet)
150
-
if not entities:
151
-
return
152
-
153
-
text_lower = text.lower()
154
-
155
-
for entity in entities:
156
-
name = entity.get("name", "")
157
-
if not name or len(name) < 3:
158
-
continue
159
-
160
-
# Word boundary match for entity name
161
-
if re.search(r"\b" + re.escape(name.lower()) + r"\b", text_lower):
162
-
try:
163
-
from think.entities.saving import save_detected_entity
164
-
165
-
save_detected_entity(
166
-
facet=facet,
167
-
day=day,
168
-
entity_type=entity.get("type", "Person"),
169
-
name=name,
170
-
description="Mentioned in conversation",
171
-
)
172
-
except ValueError:
173
-
pass # Already detected today — expected
174
-
except Exception:
175
-
logger.debug(
176
-
"Failed to record entity detection: %s", name, exc_info=True
177
-
)
178
-
except Exception:
179
-
logger.debug("Entity extraction from conversation failed", exc_info=True)
180
129
181
130
182
131
# ---------------------------------------------------------------------------