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fix: Phase 2 버그 픽스 — JP 번역, API 서버, AppleScript 경로

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- pkm_utils.py: strip_thinking() 추가 + llm_generate() no_think 옵션
  - <think> 태그 제거 + thinking 패턴("Wait,", "Let me" 등) 필터링
  - enable_thinking: false 파라미터 지원
- law_monitor.py: JP 번역 호출에 no_think=True 적용
- pkm_api_server.py: /devonthink/stats 최적화 (children 순회 → count 사용)
  + /devonthink/search 한글 쿼리 이스케이프 수정
- auto_classify.scpt: baseDir property로 경로 변수화
- omnifocus_sync.scpt: 로그 경로 변수화

인프라: MailPlus IMAP HOST → LAN IP(192.168.1.227)로 변경
참고: 한국 법령 API IP(122.153.226.74) open.law.go.kr 등록 필요

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
hyungi
2026-03-30 14:00:46 +09:00
parent f21f950c04
commit dc3f03b421
5 changed files with 59 additions and 38 deletions
Download Patch File Download Diff File Expand all files Collapse all files

23
applescript/auto_classify.scpt
View File

@@ -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

6
applescript/omnifocus_sync.scpt
View File

@@ -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

6
scripts/law_monitor.py
View File

@@ -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

33
scripts/pkm_api_server.py
View File

@@ -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'

29
scripts/pkm_utils.py
View File

@@ -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 — <think>...</think> 태그 및 thinking 패턴 필터링"""
import re
# <think>...</think> 태그 제거
text = re.sub(r'<think>[\s\S]*?</think>\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