diff --git a/applescript/auto_classify.scpt b/applescript/auto_classify.scpt
index 49c2820..c119463 100644
--- a/applescript/auto_classify.scpt
+++ b/applescript/auto_classify.scpt
@@ -2,7 +2,14 @@
-- Inbox DB 새 문서 → OCR 전처리 → MLX 분류 → 태그 + 메타데이터 + 도메인 DB 이동 → Qdrant 임베딩
-- Smart Rule 설정: Event = On Import, 조건 = Tags is empty
+property baseDir : "Documents/code/DEVONThink_my server"
+
on performSmartRule(theRecords)
+ set homeDir to POSIX path of (path to home folder)
+ set pkmRoot to homeDir & baseDir
+ set venvPython to pkmRoot & "/venv/bin/python3"
+ set logFile to pkmRoot & "/logs/auto_classify.log"
+
tell application id "DNtp"
repeat with theRecord in theRecords
try
@@ -13,16 +20,15 @@ on performSmartRule(theRecords)
if docText is "" then
if docType is in {"PDF Document", "JPEG image", "PNG image", "TIFF image"} then
- set ocrScript to (POSIX path of (path to home folder)) & "Documents/code/DEVONThink_my server/venv/bin/python3"
- set ocrPy to (POSIX path of (path to home folder)) & "Documents/code/DEVONThink_my server/scripts/ocr_preprocess.py"
+ set ocrPy to pkmRoot & "/scripts/ocr_preprocess.py"
try
- set ocrText to do shell script ocrScript & " " & quoted form of ocrPy & " " & quoted form of docUUID
+ set ocrText to do shell script venvPython & " " & quoted form of ocrPy & " " & quoted form of docUUID
if length of ocrText > 0 then
set plain text of theRecord to ocrText
set docText to ocrText
end if
on error ocrErr
- do shell script "echo '[OCR ERROR] " & ocrErr & "' >> ~/Documents/code/DEVONThink_my\\ server/logs/auto_classify.log"
+ do shell script "echo '[OCR ERROR] " & ocrErr & "' >> " & quoted form of logFile
end try
end if
end if
@@ -39,7 +45,7 @@ on performSmartRule(theRecords)
end if
-- 2. 분류 프롬프트 로딩
- set promptPath to (POSIX path of (path to home folder)) & "Documents/code/DEVONThink_my server/scripts/prompts/classify_document.txt"
+ set promptPath to pkmRoot & "/scripts/prompts/classify_document.txt"
set promptTemplate to do shell script "cat " & quoted form of promptPath
-- 문서 텍스트를 프롬프트에 삽입 (특수문자 이스케이프)
@@ -105,14 +111,13 @@ except:
end if
-- 8. GPU 서버 벡터 임베딩 비동기 전송
- set embedScript to (POSIX path of (path to home folder)) & "Documents/code/DEVONThink_my server/venv/bin/python3"
- set embedPy to (POSIX path of (path to home folder)) & "Documents/code/DEVONThink_my server/scripts/embed_to_qdrant.py"
- do shell script embedScript & " " & quoted form of embedPy & " " & quoted form of docUUID & " &> /dev/null &"
+ set embedPy to pkmRoot & "/scripts/embed_to_qdrant.py"
+ do shell script venvPython & " " & quoted form of embedPy & " " & quoted form of docUUID & " &> /dev/null &"
on error errMsg
-- 에러 시 로그 기록 + 검토필요 태그
set tags of theRecord to {"@상태/검토필요", "AI분류실패"}
- do shell script "echo '[" & (current date) & "] [auto_classify] [ERROR] " & errMsg & "' >> ~/Documents/code/DEVONThink_my\\ server/logs/auto_classify.log"
+ do shell script "echo '[" & (current date) & "] [auto_classify] [ERROR] " & errMsg & "' >> " & quoted form of logFile
end try
end repeat
end tell
diff --git a/applescript/omnifocus_sync.scpt b/applescript/omnifocus_sync.scpt
index dfa32d6..036ab65 100644
--- a/applescript/omnifocus_sync.scpt
+++ b/applescript/omnifocus_sync.scpt
@@ -2,7 +2,11 @@
-- Projects DB 새 문서에서 TODO 패턴 감지 → OmniFocus 작업 생성
-- Smart Rule 설정: Event = On Import, DB = Projects
+property baseDir : "Documents/code/DEVONThink_my server"
+
on performSmartRule(theRecords)
+ set homeDir to POSIX path of (path to home folder)
+ set logFile to homeDir & baseDir & "/logs/omnifocus_sync.log"
tell application id "DNtp"
repeat with theRecord in theRecords
try
@@ -64,7 +68,7 @@ for item in items[:10]:
add custom meta data taskIDString for "omnifocusTaskID" to theRecord
on error errMsg
- do shell script "echo '[" & (current date) & "] [omnifocus_sync] [ERROR] " & errMsg & "' >> ~/Documents/code/DEVONThink_my\\ server/logs/omnifocus_sync.log"
+ do shell script "echo '[" & (current date) & "] [omnifocus_sync] [ERROR] " & errMsg & "' >> " & quoted form of logFile
end try
end repeat
end tell
diff --git a/scripts/law_monitor.py b/scripts/law_monitor.py
index 39e5d74..d8d94b3 100644
--- a/scripts/law_monitor.py
+++ b/scripts/law_monitor.py
@@ -315,11 +315,9 @@ def fetch_jp_mhlw(last_check: dict) -> int:
translated = ""
try:
translated = llm_generate(
- f"다음 일본어 제목을 한국어로 번역해줘. 번역만 출력하고 다른 말은 하지 마.\n\n{title}"
+ f"다음 일본어 제목을 한국어로 번역해줘. 번역만 출력하고 다른 말은 하지 마.\n\n{title}",
+ no_think=True
)
- # thinking 출력 제거 — 마지막 줄만 사용
- lines = [l.strip() for l in translated.strip().split("\n") if l.strip()]
- translated = lines[-1] if lines else title
except Exception:
translated = title
diff --git a/scripts/pkm_api_server.py b/scripts/pkm_api_server.py
index 8a301f5..a820398 100644
--- a/scripts/pkm_api_server.py
+++ b/scripts/pkm_api_server.py
@@ -35,24 +35,14 @@ def run_applescript(script: str, timeout: int = 120) -> str:
@app.route('/devonthink/stats')
def devonthink_stats():
try:
+ # DB별 문서 수만 빠르게 조회 (children 순회 대신 count 사용)
script = (
'tell application id "DNtp"\n'
- ' set today to current date\n'
- ' set time of today to 0\n'
' set stats to {}\n'
' repeat with db in databases\n'
' set dbName to name of db\n'
- ' set addedCount to 0\n'
- ' set modifiedCount to 0\n'
- ' repeat with rec in children of root of db\n'
- ' try\n'
- ' if creation date of rec >= today then set addedCount to addedCount + 1\n'
- ' if modification date of rec >= today then set modifiedCount to modifiedCount + 1\n'
- ' end try\n'
- ' end repeat\n'
- ' if addedCount > 0 or modifiedCount > 0 then\n'
- ' set end of stats to dbName & ":" & addedCount & ":" & modifiedCount\n'
- ' end if\n'
+ ' set docCount to count of contents of db\n'
+ ' set end of stats to dbName & ":" & docCount\n'
' end repeat\n'
' set AppleScript\'s text item delimiters to "|"\n'
' return stats as text\n'
@@ -60,17 +50,18 @@ def devonthink_stats():
)
result = run_applescript(script)
stats = {}
+ total = 0
if result:
for item in result.split('|'):
parts = item.split(':')
- if len(parts) == 3:
- stats[parts[0]] = {'added': int(parts[1]), 'modified': int(parts[2])}
- total_added = sum(s['added'] for s in stats.values())
- total_modified = sum(s['modified'] for s in stats.values())
+ if len(parts) == 2:
+ count = int(parts[1])
+ stats[parts[0]] = {'count': count}
+ total += count
return jsonify(success=True, data={
'databases': stats,
- 'total_added': total_added,
- 'total_modified': total_modified
+ 'total_documents': total,
+ 'database_count': len(stats),
})
except Exception as e:
return jsonify(success=False, error=str(e)), 500
@@ -83,9 +74,11 @@ def devonthink_search():
if not q:
return jsonify(success=False, error='q parameter required'), 400
try:
+ # 한글 쿼리 이스케이프 (따옴표, 백슬래시)
+ safe_q = q.replace('\\', '\\\\').replace('"', '\\"')
script = (
'tell application id "DNtp"\n'
- f' set results to search "{q}"\n'
+ f' set results to search "{safe_q}"\n'
' set output to {}\n'
f' set maxCount to {limit}\n'
' set i to 0\n'
diff --git a/scripts/pkm_utils.py b/scripts/pkm_utils.py
index 66c5284..fdf706e 100644
--- a/scripts/pkm_utils.py
+++ b/scripts/pkm_utils.py
@@ -105,19 +105,40 @@ def run_applescript_inline(script: str) -> str:
raise RuntimeError("AppleScript 타임아웃 (인라인)")
+def strip_thinking(text: str) -> str:
+ """LLM thinking 출력 제거 — ... 태그 및 thinking 패턴 필터링"""
+ import re
+ # ... 태그 제거
+ text = re.sub(r'[\s\S]*?\s*', '', text)
+ # "Wait,", "Let me", "I'll check" 등으로 시작하는 thinking 줄 제거
+ lines = text.strip().split('\n')
+ filtered = [l for l in lines if not re.match(
+ r'^\s*(Wait|Let me|I\'ll|Hmm|OK,|Okay|Let\'s|Actually|So,|First)', l, re.IGNORECASE
+ )]
+ return '\n'.join(filtered).strip() if filtered else text.strip()
+
+
def llm_generate(prompt: str, model: str = "mlx-community/Qwen3.5-35B-A3B-4bit",
- host: str = "http://localhost:8800", json_mode: bool = False) -> str:
- """MLX 서버 API 호출 (OpenAI 호환)"""
+ host: str = "http://localhost:8800", json_mode: bool = False,
+ no_think: bool = False) -> str:
+ """MLX 서버 API 호출 (OpenAI 호환)
+ no_think=True: thinking 비활성화 + 응답 필터링 (번역 등 단순 작업용)
+ """
import requests
messages = [{"role": "user", "content": prompt}]
- resp = requests.post(f"{host}/v1/chat/completions", json={
+ payload = {
"model": model,
"messages": messages,
"temperature": 0.3,
"max_tokens": 4096,
- }, timeout=300)
+ }
+ if no_think:
+ payload["enable_thinking"] = False
+ resp = requests.post(f"{host}/v1/chat/completions", json=payload, timeout=300)
resp.raise_for_status()
content = resp.json()["choices"][0]["message"]["content"]
+ if no_think:
+ content = strip_thinking(content)
if not json_mode:
return content
# JSON 모드: thinking 허용 → 마지막 유효 JSON 객체 추출