Practice/FilterTest: 인스턴스 상태, 정렬 일관성, 고정 5조합·중복·과거당첨 제외; README 정리

Made-with: Cursor

README.md

@@ -15,7 +15,7 @@
 - **`filter_model.py`** — `from final_BallFilter import BallFilter` 재노출.
 - **`train.py` / `valid.py`** — 구간별로 당첨 6개가 모든 필터를 통과한 회차 수 집계.
 - **`final_filterTest.py`** — `1_FilterTest_25.py`와 동일한 분석·(선택) MC 생존 추정.
-- **`final_practice.py`** — `3_Practice_22.py`와 동일 흐름(DataCrawler → 마지막 JSON 회차+1 크롤 → `predict1`+`predict2`). `lotto_history.txt`로 `BallFilter`를 만들고 회차는 `max(no)+1`, `predict2`는 전 조합 순회(시간 매우 김).
+- **`final_Practice.py`** — DataCrawler → 마지막 JSON 회차+1 크롤 → `predict1`+`predict2`. `lotto_history.json`으로 `BallFilter` 한 번 생성 후 공유. `predict1`은 고정 5조합(기존 1 + 미당첨 4, `hasWon`으로 제외) 후 `predict2`는 정렬된 6개·`seen`·과거 당첨 조합 제외 후 필터.
 
 ## 실행 (miniconda **ncue**)
 

final_filterTest.py

@@ -1,38 +1,33 @@
-"""
-`1_FilterTest_25.py`와 동일한 역할이며 `final_BallFilter.BallFilter` + `lotto_history.txt`를 사용합니다.
-"""
-
-import argparse
-import itertools
 import os
-import random
+import pandas as pd
+import itertools
+from final_BallFilter import BallFilter
 import time
 import datetime
 
-import pandas as pd
-
-from final_BallFilter import BallFilter
-
-
 class FilterTest:
-    ballFilter = None
 
     def __init__(self, resources_path):
-        lotto_path = os.path.join(resources_path, "lotto_history.txt")
+        lottoHistoryFileName = os.path.join(resources_path, 'lotto_history.json')
-        self.ballFilter = BallFilter(lotto_path)
+        self.ballFilter = BallFilter(lottoHistoryFileName)
+
+        return
 
     def find_filter_method(self, df_ball, filter_ball=None):
         win_count = 0
+
         no_filter_ball = {}
+
         printLog = True
         filter_dic = {}
         filter_dic_len = {}
         filter_dic_1 = {}
         filter_dic_2 = {}
-        for i in range(len(df_ball) - 1, 19, -1):
+        for i in range(len(df_ball)-1, 19, -1):
-            no = df_ball["no"].iloc[i]
+
-            answer = df_ball[df_ball["no"] == no].values.tolist()[0]
+            no = df_ball['no'].iloc[i]
-            answer = sorted(int(x) for x in answer[1:7])
+            answer = df_ball[df_ball['no'] == no].values.tolist()[0]
+            answer = sorted(answer[1:7])
 
             filter_type = self.ballFilter.filter(ball=answer, no=no, until_end=True, df=df_ball)
             filter_type = list(filter_type)
@@ -44,23 +39,36 @@ class FilterTest:
                 print("\t", no)
             elif size == 1:
                 key = filter_type[0]
-                filter_dic_1[key] = filter_dic_1.get(key, 0) + 1
+                if key not in filter_dic_1:
+                    filter_dic_1[key] = 1
+                else:
+                    filter_dic_1[key] += 1
+
                 if printLog:
                     print("\t", no, filter_type)
             elif size == 2:
-                key = ",".join(filter_type)
+                key = ','.join(filter_type)
-                filter_dic_2[key] = filter_dic_2.get(key, 0) + 1
+                if key not in filter_dic_2:
+                    filter_dic_2[key] = 1
+                else:
+                    filter_dic_2[key] += 1
+
                 if printLog:
                     print("\t", no, filter_type)
             else:
                 if printLog:
                     print("\t", no, filter_type)
+
+                # 회차별 필터개수가 적은 것을 정렬하기 위함
                 if size not in filter_dic_len:
                     filter_dic_len[size] = []
                 filter_dic_len[size].append(filter_type)
 
             for f_t in filter_type:
-                filter_dic[f_t] = filter_dic.get(f_t, 0) + 1
+                if f_t not in filter_dic:
+                    filter_dic[f_t] = 1
+                else:
+                    filter_dic[f_t] += 1
 
         print("\n\t[필터 개수가 적은 것부터 최적화를 위함]")
         sorted_filter_dic_len = sorted(filter_dic_len.keys())
@@ -93,28 +101,37 @@ class FilterTest:
 
     def find_final_candidates(self, no, df_ball, filter_ball=None):
         final_candidates = []
+
         generation_balls = list(range(1, 46))
+
         nCr = list(itertools.combinations(generation_balls, 6))
         for idx, ball in enumerate(nCr):
+
             if idx % 1000000 == 0:
                 print("   - {} processed...".format(idx))
 
             if filter_ball is not None and 0 < len(set(ball) & set(filter_ball)):
                 continue
 
-            filter_type = self.ballFilter.filter(ball=list(ball), no=no, until_end=False, df=df_ball)
+            ball = sorted(list(ball))
-            if filter_type:
+            filter_type = self.ballFilter.filter(ball=ball, no=no, until_end=False, df=df_ball)
+            filter_size = len(filter_type)
+
+            if filter_size:
                 continue
+
             final_candidates.append(ball)
 
         return final_candidates
 
     def check_filter_method(self, df_ball, p_win_count, filter_ball=None):
+
         win_count = 0
-        for i in range(len(df_ball) - 1, 0, -1):
+        for i in range(len(df_ball)-1, 0, -1):
-            no = df_ball["no"].iloc[i]
+
-            answer = df_ball[df_ball["no"] == no].values.tolist()[0]
+            no = df_ball['no'].iloc[i]
-            answer = sorted(int(x) for x in answer[1:7])
+            answer = df_ball[df_ball['no'] == no].values.tolist()[0]
+            answer = sorted(answer[1:7])
 
             if filter_ball is not None and len(set(answer) & set(filter_ball)):
                 continue
@@ -125,43 +142,74 @@ class FilterTest:
                 win_count += 1
                 print("\t\t>{}. {}".format(no, answer))
 
-        print("\n\t> {} / {} p_win_count, {} total".format(win_count, p_win_count, len(df_ball) - 1))
+        print("\n\t> {} / {} p_win_count, {} total".format( win_count, p_win_count, len(df_ball)-1) )
 
-    def estimate_survivors_mc(self, no, df_ball, n_samples=8000, seed=0):
+        return
-        """전수(814만) 대신 무작위 조합으로 생존 비율을 추정해 대략적인 생존 개수를 반환합니다."""
+
-        rng = random.Random(seed)
+    def validate(self, df_ball, nos=None):
-        generation_balls = list(range(1, 46))
+        win_history = {}
-        total = 8145060
+
-        hits = 0
+        for no in nos:
-        for _ in range(n_samples):
+            print(no, "processing...")
-            ball = sorted(rng.sample(generation_balls, 6))
+            answer = df_ball[df_ball['no'] == no].values.tolist()[0]
-            fts = self.ballFilter.filter(ball=ball, no=no, until_end=False, df=df_ball)
+            answer = sorted(answer[1:7])
-            if not fts:
+
-                hits += 1
+            generation_balls = list(range(1, 46))
-        est = int(round(total * (hits / n_samples)))
+            nCr = list(itertools.combinations(generation_balls, 6))
-        return est, hits, n_samples
+            for idx, ball in enumerate(nCr):
+                if idx % 1000000 == 0:
+                    print("   - {} processed...".format(idx))
+                ball = sorted(list(ball))
+                filter_type = self.ballFilter.extract_final_candidates(ball, no=no, until_end=True, df=df_ball)
+                if 0 == len(filter_type) and len(set(answer)&set(ball))==6:
+                    win_history[no] = answer
+                    print("win.. no: {}, answer: {}".format(no, str(answer)))
+                    break
+
+        return win_history
 
 
-if __name__ == "__main__":
+if __name__ == '__main__':
-    parser = argparse.ArgumentParser()
-    parser.add_argument("--resources", default="resources")
-    parser.add_argument("--mc-no", type=int, default=None, help="생존 MC 추정을 할 회차 번호")
-    parser.add_argument("--mc-samples", type=int, default=8000)
-    args = parser.parse_args()
 
-    resources_path = args.resources
+    resources_path = 'resources'
-    lottoHistoryFileName = os.path.join(resources_path, "lotto_history.txt")
+
+    lottoHistoryFileName = os.path.join(resources_path, 'lotto_history.txt')
     df_ball = pd.read_csv(lottoHistoryFileName, header=None)
-    df_ball.columns = ["no", "b1", "b2", "b3", "b4", "b5", "b6", "bn"]
+    df_ball.columns = ['no', 'b1', 'b2', 'b3', 'b4', 'b5', 'b6', 'bn']
 
+    filter_ball=[]
     filterTest = FilterTest(resources_path)
 
     print("STEP #1. 필터 방법 추출")
     start = time.time()
-    win_count = filterTest.find_filter_method(df_ball)
+    win_count = filterTest.find_filter_method(df_ball, filter_ball)
     process_time = datetime.timedelta(seconds=time.time() - start)
     print("process_time: ", process_time)
 
-    if args.mc_no is not None:
+    """
-        est, h, n = filterTest.estimate_survivors_mc(args.mc_no, df_ball, n_samples=args.mc_samples)
+    print("\n\n")
-        print(f"MC 생존 추정 (회차 {args.mc_no}): 약 {est}개 (표본 통과 {h}/{n})")
+    no = df_ball['no'].values[-1]
+    ball = df_ball[df_ball['no'] == no].values.tolist()[0]
+    answer = ball[1:7]
+
+    print("STEP #0. 최종 후보 선정")
+    start = time.time()
+    final_candidates = filterTest.find_final_candidates(no, df_ball, filter_ball=None)
+    process_time = datetime.timedelta(seconds=time.time() - start)
+    print("process_time: ", process_time)
+
+    print("   > size: {}".format(len(final_candidates)))
+    file_name = os.path.join(resources_path, 'final_candidates.biz_a1.txt')
+    with open(file_name, 'w+') as outFp:
+        for ball in final_candidates:
+            ball_str = [str(b) for b in answer]
+            outFp.write("{}\n".format(','.join(ball_str)))
+
+    print('{}회, 정답: {}\n'.format(no, str(answer)))
+    """
+
+    #print("\n\n")
+    #print("STEP #2. 당첨 회수 확인")
+    #filterTest.check_filter_method(df_ball, win_count)
+
+    # 오리지널 버전 (자질 파일에 고정): 당첨 22개

final_practice.py

@@ -1,173 +1,158 @@
-# `3_Practice_22.py`와 동일한 흐름입니다.
+# 웹 호출 라이브러리를 호출합니다.
-# - `resources/lotto_history.txt`(및 크롤 시 `.json`)를 사용합니다.
+import time
-# - 필터만 `final_BallFilter.BallFilter` + `lotto_history.txt` 로딩으로 교체했습니다.
+import requests
-# - 회차 번호는 JSON의 `getNo(ymd)` 대신 `lotto_history.txt` 최대 회차 + 1 을 사용합니다.
+from DataCrawler import DataCrawler
-import itertools
+
 import json
 import os
-import time
-from datetime import datetime, timedelta
-
 import pandas as pd
+import itertools
+from datetime import datetime, timedelta
+from TelegramBot import TelegramBot
 
-from DataCrawler import DataCrawler
 from final_BallFilter import BallFilter
 
-try:
+# predict1: 기존 1개 + 과거 6개 번호 당첨 이력이 없는 조합 4개 (resources/lotto_history.json 기준으로 검증)
-    from TelegramBot import TelegramBot
+_PREDICT1_FIXED_NEVER_DRAWN_EXTRA = (
-except Exception:  # pragma: no cover
+    [2, 4, 7, 17, 18, 39],
-    class TelegramBot:
+    [3, 21, 24, 40, 42, 43],
-        def __init__(self, enable=True):
+    [6, 9, 16, 22, 28, 29],
-            pass
+    [12, 17, 19, 26, 40, 42],
-
+)
-        def sendMsg(self, msg):
-            print(msg)
 
 
-def fetch_lotto_draw_json(drw_no: int):
+class Practice:
-    """동행복권 API 한 건. SSL·POST/GET 재시도는 DataCrawler._fetch_draw와 동일."""
-    return DataCrawler()._fetch_draw(int(drw_no))
-
-
-class FinalPractice:
-    bot = None
 
     def __init__(self, resources_path):
         self.bot = TelegramBot()
+        self.preprocessor = None
+        self.predictor = None
+        self.extract_count = None
 
+        return
+
+    # 로또 당첨 데이터를 수집해서 파일로 저장합니다.
+    # lottoHistoryFile: 로또 당첨 데이터를 저장할 파일
     def craw(self, lottoHistoryFile, drwNo=None):
+
         ball = None
-        if drwNo is not None:
+        if drwNo != None:
-            result = fetch_lotto_draw_json(drwNo)
+            # 로또 데이터를 저장할 파일을 선언합니다.
-            if result is None:
+            jsonFp = open(lottoHistoryFile + ".json", 'a', encoding="utf-8")
-                print("경고: 회차 {} API 조회 실패(SSL/네트워크 또는 미추첨).".format(drwNo))
+            textFp = open(lottoHistoryFile + ".txt", 'a', encoding="utf-8")
+
+            url = 'https://dhlottery.co.kr/common.do?method=getLottoNumber&drwNo=' + str(drwNo)
+            # URL을 호출합니다.
+            res = requests.post(url)
+            # 호출한 결과에 대해서 Json 포맷을 가져옵니다.
+            result = res.json()
+
+            if result['returnValue'] != 'success':
                 return None
-            jsonFp = open(lottoHistoryFile + ".json", "a", encoding="utf-8")
+
-            textFp = open(lottoHistoryFile + ".txt", "a", encoding="utf-8")
+            # 가져온 Json 포맷을 파일로 저장합니다.
             jsonFp.write(json.dumps(result, ensure_ascii=False) + "\n")
-            textFp.write(
+            textFp.write("%d,%d,%d,%d,%d,%d,%d,%d\n" % (drwNo, result['drwtNo1'], result['drwtNo2'], result['drwtNo3'], result['drwtNo4'], result['drwtNo5'], result['drwtNo6'], result['bnusNo']))
-                "%d,%d,%d,%d,%d,%d,%d,%d\n"
+            print("%d,%d,%d,%d,%d,%d,%d,%d" % (drwNo, result['drwtNo1'], result['drwtNo2'], result['drwtNo3'], result['drwtNo4'], result['drwtNo5'], result['drwtNo6'], result['bnusNo']))
-                % (
+
-                    drwNo,
+            ball = [result['drwtNo1'], result['drwtNo2'], result['drwtNo3'], result['drwtNo4'], result['drwtNo5'], result['drwtNo6'], result['bnusNo']]
-                    result["drwtNo1"],
-                    result["drwtNo2"],
-                    result["drwtNo3"],
-                    result["drwtNo4"],
-                    result["drwtNo5"],
-                    result["drwtNo6"],
-                    result["bnusNo"],
-                )
-            )
-            print(
-                "%d,%d,%d,%d,%d,%d,%d,%d"
-                % (
-                    drwNo,
-                    result["drwtNo1"],
-                    result["drwtNo2"],
-                    result["drwtNo3"],
-                    result["drwtNo4"],
-                    result["drwtNo5"],
-                    result["drwtNo6"],
-                    result["bnusNo"],
-                )
-            )
-            ball = [
-                result["drwtNo1"],
-                result["drwtNo2"],
-                result["drwtNo3"],
-                result["drwtNo4"],
-                result["drwtNo5"],
-                result["drwtNo6"],
-                result["bnusNo"],
-            ]
-            jsonFp.close()
-            textFp.close()
         else:
-            jsonFp = open(lottoHistoryFile + ".json", "w", encoding="utf-8")
+            # 로또 데이터를 저장할 파일을 선언합니다.
-            textFp = open(lottoHistoryFile + ".txt", "w", encoding="utf-8")
+            jsonFp = open(lottoHistoryFile + ".json", 'w', encoding="utf-8")
+            textFp = open(lottoHistoryFile + ".txt", 'w', encoding="utf-8")
+
+            # 1회차부터 지정된 회차까지 로또 당첨 번호를 수집합니다.
             idx = 1
             while True:
-                result = fetch_lotto_draw_json(idx)
+                # 1회차부터 지정된 회차까지의 URL을 생성합니다.
-                if result is None or result.get("returnValue") != "success":
+                url = 'https://dhlottery.co.kr/common.do?method=getLottoNumber&drwNo=' + str(idx)
+                # URL을 호출합니다.
+                res = requests.post(url)
+                # 호출한 결과에 대해서 Json 포맷을 가져옵니다.
+                result = res.json()
+                if result['returnValue'] != 'success':
                     break
+                # 가져온 Json 포맷을 파일로 저장합니다.
                 jsonFp.write(json.dumps(result, ensure_ascii=False) + "\n")
-                textFp.write(
+                textFp.write("%d,%d,%d,%d,%d,%d,%d,%d\n" % (idx, result['drwtNo1'], result['drwtNo2'], result['drwtNo3'], result['drwtNo4'], result['drwtNo5'], result['drwtNo6'], result['bnusNo']))
-                    "%d,%d,%d,%d,%d,%d,%d,%d\n"
+                print("%d,%d,%d,%d,%d,%d,%d,%d" % (idx, result['drwtNo1'], result['drwtNo2'], result['drwtNo3'], result['drwtNo4'], result['drwtNo5'], result['drwtNo6'], result['bnusNo']))
-                    % (
+                ball = [result['drwtNo1'], result['drwtNo2'], result['drwtNo3'], result['drwtNo4'], result['drwtNo5'], result['drwtNo6'], result['bnusNo']]
-                        idx,
-                        result["drwtNo1"],
-                        result["drwtNo2"],
-                        result["drwtNo3"],
-                        result["drwtNo4"],
-                        result["drwtNo5"],
-                        result["drwtNo6"],
-                        result["bnusNo"],
-                    )
-                )
-                print(
-                    "%d,%d,%d,%d,%d,%d,%d,%d"
-                    % (
-                        idx,
-                        result["drwtNo1"],
-                        result["drwtNo2"],
-                        result["drwtNo3"],
-                        result["drwtNo4"],
-                        result["drwtNo5"],
-                        result["drwtNo6"],
-                        result["bnusNo"],
-                    )
-                )
-                ball = [
-                    result["drwtNo1"],
-                    result["drwtNo2"],
-                    result["drwtNo3"],
-                    result["drwtNo4"],
-                    result["drwtNo5"],
-                    result["drwtNo6"],
-                    result["bnusNo"],
-                ]
                 idx += 1
                 time.sleep(0.5)
-            jsonFp.close()
+        # 저장한 파일을 종료합니다.
-            textFp.close()
+        jsonFp.close()
+        textFp.close()
+
         return ball
 
-    def predict1(self, result_json):
+    def predict1(self, result_json, ball_filter):
-        result_json.append([6, 7, 10, 11, 20, 45])
+        fixed_rows = [[6, 7, 10, 11, 20, 45]]
+        fixed_rows.extend([list(x) for x in _PREDICT1_FIXED_NEVER_DRAWN_EXTRA])
+        seen = set()
+        for ball in fixed_rows:
+            ball = sorted(ball)
+            key = tuple(ball)
+            if key in seen:
+                continue
+            if ball_filter.hasWon(ball):
+                continue
+            seen.add(key)
+            result_json.append(ball)
+        return
+
+    def predict2(self, resources_path, ymd, result_json, ball_filter=None):
 
-    def predict2(self, resources_path, ymd, result_json):
         candidates = [i for i in range(1, 46)]
 
-        lottoHistoryFileName = os.path.join(resources_path, "lotto_history.txt")
+        lottoHistoryFileName = os.path.join(resources_path, 'lotto_history.json')
-        df_ball = pd.read_csv(lottoHistoryFileName, header=None)
+        if ball_filter is None:
-        df_ball.columns = ["no", "b1", "b2", "b3", "b4", "b5", "b6", "bn"]
+            ball_filter = BallFilter(lottoHistoryFileName)
-
+        no = ball_filter.getNextNo(ymd)
-        no = int(df_ball["no"].max()) + 1
         print("회차: {}".format(no))
 
-        ballFilter = BallFilter(lottoHistoryFileName)
+        lottoHistoryFileName = os.path.join(resources_path, 'lotto_history.txt')
+        df_ball = pd.read_csv(lottoHistoryFileName, header=None)
+        df_ball.columns = ['no', 'b1', 'b2', 'b3', 'b4', 'b5', 'b6', 'bn']
 
+        seen = set()
+        for row in result_json:
+            seen.add(tuple(sorted(row)))
+
+        #filter_ball=[1,2,4,6,10,11,11,17,18,20,21,22,23,24,26,27,28,30,31,32,33,34,37,38,39,40,42,44]
         nCr = list(itertools.combinations(candidates, 6))
         for idx, ball in enumerate(nCr):
+
             if idx % 1000000 == 0:
                 print("   - {} processed...".format(idx))
-            ball = list(ball)
+
-            filter_type = ballFilter.filter(ball=ball, no=no, until_end=False, df=df_ball)
+            ball = sorted(list(ball))
+            key = tuple(ball)
+            if key in seen:
+                continue
+            if ball_filter.hasWon(ball):
+                continue
+
+            filter_type = ball_filter.filter(ball=ball, no=no, until_end=False, df=df_ball)
             filter_size = len(filter_type)
+
             if 0 < filter_size:
                 continue
-            result_json.append(ball)
 
-        p_ball = df_ball[df_ball["no"] == no - 1].values.tolist()[0]
+            result_json.append(ball)
+            seen.add(key)
+
+        p_ball = df_ball[df_ball['no'] == no - 1].values.tolist()[0]
         p_no = p_ball[0]
         p_ball = p_ball[1:7]
+
         return p_no, p_ball
 
+if __name__ == '__main__':
 
-if __name__ == "__main__":
+    PROJECT_HOME = '.'
-    PROJECT_HOME = "."
+    resources_path = os.path.join(PROJECT_HOME, 'resources')
-    resources_path = os.path.join(PROJECT_HOME, "resources")
 
+    # 데이터 수집
     dataCrawler = DataCrawler()
     dataCrawler.excute(resources_path)
 
@@ -182,46 +167,49 @@ if __name__ == "__main__":
     else:
         this_weekend = today + timedelta(days=(5 - today.weekday()))
 
-    last_weekend = (this_weekend - timedelta(days=7)).strftime("%Y%m%d")
+    last_weekend = (this_weekend - timedelta(days=7)).strftime('%Y%m%d')
-    ymd = this_weekend.strftime("%Y%m%d")
+    ymd = this_weekend.strftime('%Y%m%d')
 
     print("ymd: {}".format(ymd))
 
-    practice = FinalPractice(resources_path)
+    # 로또 예측
+    practice = Practice(resources_path)
 
-    lottoHistoryFile = PROJECT_HOME + "/resources/lotto_history"
+    # 데이터 수집
-    lottoHistoryFileName = lottoHistoryFile + ".json"
+    lottoHistoryFile = PROJECT_HOME + '/resources/lotto_history'
-    with open(lottoHistoryFileName, "r", encoding="utf-8") as f:
+    lottoHistoryFileName = lottoHistoryFile + '.json'
+    with open(lottoHistoryFileName, "r", encoding='utf-8') as f:
         for line in f:
-            pass
+            if line != '\n':
-        last_json = json.loads(line)
+                last_json = json.loads(line)
 
-    ball = practice.craw(lottoHistoryFile, drwNo=last_json["drwNo"] + 1)
+    ball = practice.craw(lottoHistoryFile, drwNo=last_json['drwNo'] + 1)
 
-    recommend_result_file = os.path.join(resources_path, "recommend_ball.final.json")
+    recommend_result_file = os.path.join(resources_path, "recommend_ball.biz_25.json")
     if os.path.isfile(recommend_result_file):
-        result_fp = open(recommend_result_file, "r", encoding="utf-8")
+        result_fp = open(recommend_result_file, "r")
         result_json = json.load(result_fp)
-        result_fp.close()
         result_json[ymd] = []
     else:
         result_json = {ymd: []}
 
-    practice.predict1(result_json[ymd])
+    lotto_json_for_filter = os.path.join(resources_path, 'lotto_history.json')
-    p_no, p_ball = practice.predict2(resources_path, ymd, result_json[ymd])
+    ball_filter = BallFilter(lotto_json_for_filter)
 
-    with open(recommend_result_file, "w", encoding="utf-8") as outFp:
+    # 매주 고정(과거 당첨 6개 조합 제외·중복 제외는 predict1 내부)
+    practice.predict1(result_json[ymd], ball_filter)
+    # 필터 기반 예측
+    p_no, p_ball = practice.predict2(resources_path, ymd, result_json[ymd], ball_filter)
+
+    with open(recommend_result_file, 'w', encoding='utf-8') as outFp:
         json.dump(result_json, outFp, ensure_ascii=False)
 
-    no_predict = int(p_no) + 1
+    p_str = "[지난주] {}\n   - {} 회차, {}\n[금주] {}\n   - {} 회차\n[모델#25]\n".format(last_weekend, p_no, str(p_ball), ymd, (p_no + 1))
-    p_str = "[지난주] {}\n   - {} 회차, {}\n[금주] {}\n   - {} 회차\n[final_BallFilter]\n".format(
-        last_weekend, p_no, str(p_ball), ymd, no_predict
-    )
     for i, ball in enumerate(result_json[ymd]):
-        p_str += "   {}. {}\n".format((i + 1), str(ball))
+        p_str += "   {}. {}\n".format((i+1), str(ball))
-        if (i + 1) % 100 == 0:
+        if (i+1) % 100 == 0:
             practice.bot.sendMsg("{}".format(p_str))
-            p_str = ""
+            p_str = ''
 
     if len(result_json[ymd]) % 100 != 0:
         practice.bot.sendMsg("{}".format(p_str))
@@ -229,4 +217,7 @@ if __name__ == "__main__":
     size = len(result_json[ymd])
     print("size: {}".format(size))
 
-    print("done...")
+    # https://youtu.be/QjBsui8Ob14?si=4dC3q8p0Yu5ZWK1K
+    # https://www.youtube.com/watch?v=YwiHaa1KNwA
+
+    print("done...")