update

src/KSP_tools/KSP_wiki/utils/sync_to_overview.py

@@ -27,8 +27,8 @@ from openpyxl.worksheet.worksheet import Worksheet
 from openpyxl.cell.cell import Cell, MergedCell
 
 # Paths and constants
-PROJECT_ROOT = Path(__file__).resolve().parents[2]
+PROJECT_ROOT = Path(__file__).resolve().parents[4]
-LOG_BOOK_PATH = PROJECT_ROOT / "local_content_dir" / "log_book.xlsx"
+LOG_BOOK_PATH = PROJECT_ROOT / "data" / "KSP_data" / "log_book.xlsx"
 
 OVERVIEW_SHEET_NAME = "Overview"
 HEADER_ROW_INDEX = 1
@@ -695,6 +695,6 @@ def main(sheet: str, workbook: Optional[str] = None) -> None:
 if __name__ == "__main__":
     # Configure these values here and call main directly.
     # Edit these lines to change which sheet / workbook are processed.
-    sheet_name = "XH-01"
+    sheet_name = "ST-01"
     workbook_path = str(LOG_BOOK_PATH)
     main(sheet_name, workbook_path)

src/KSP_tools/KSP_wiki/vessel_log/Stellaria_history.py

@@ -13,7 +13,7 @@ operating_history_raw = """
     Uncrewed mission to Earth-Sun Lagrange Point 2 to test long-duration operations
 2054-11-28 Test Mission Complete, all systems nominal. Returning to LEO.
 
-2055-12-01 Start maintenance
+2054-12-01 Start maintenance
 2055-02-28 Maintenance complete, all systems operational, ready for commissioning.
 
 2055-03-20 Picking up crew for Inner Solar System Exploration Mission 1
@@ -37,7 +37,7 @@ operating_history_raw = """
 2056-04-12 Earth Arrival
 
 2056-04-15 Start maintenance
-2056-06-01 Maintenance complete.
+2056-05-31 Maintenance complete.
 
 2056-06-02 Picking up crew for Mars One Construction Mission 2
 2056-06-04 Picking up Mars One construction cargo
@@ -205,7 +205,7 @@ operating_history = [
     {
         'log_name': "Maintenance",
         'start_time': "2056-04-15",
-        'end_time': "2056-06-01",
+        'end_time': "2056-05-31",
         'mission_detail': "",
         'sub_log': []
     },
@@ -312,4 +312,34 @@ operating_history = [
         'sub_log': [
             "2059-05-31 Parked into Iapetus orbit, orbital science completed",
             "2059-06-15 Start Iapetus Surface operation",
+        ]
+    },
+    {
+        'log_name': "Saturn Exploration Mission 1 return to Earth",
+        'start_time': "2059-07-01",
+        'end_time': "2059-11-24",
+        'mission_detail': "Saturn-Earth transfer, using standard trajectory with 162km/s of departure burn",
+        'sub_log': [
+            "2059-07-01 Wrapping up Saturn Exploration Mission. Saturn Departure for Earth",
+            "2059-11-24 Back from Saturn, Earth Arrival",
+        ]
+    },
+    {
+        'log_name': "Upgrades at Star Port",
+        'start_time': "2059-11-25",
+        'end_time': "2060-02-10",
+        'mission_detail': "Upgrades complete, ST-01 now fully meets Stellaria specifications.",
+        'sub_log': []
+    },
+    {
+        'log_name': "Outer Solar System Exploration Mission 1 outbound to Neptune",
+        'start_time': "2060-02-11",
+        'end_time': None,
+        'mission_detail': "Earth-Neptune transfer, using 160km/s departure burn",
+        'sub_log': [
+            "2060-02-11 Out of Star Port, config for Outer Solar System Exploration",
+            "2060-02-12 Pick up Outer Solar System Exploration Crew 1 and supply",
+            "2060-02-12 Earth Departure for Neptune",
+        ]
+    },
 ]

src/log_tool/analysis_via_history_message.py

@@ -1,6 +1,7 @@
 from typing import Optional
 import pandas as pd
 from langchain_openai import ChatOpenAI
+import warnings
 
 from src.PostgresSQL.db_handler import PgHandler
 from src.config.load_config import project_config
@@ -15,12 +16,14 @@ LLM = ChatOpenAI(
 def load_history_by_year_month(year: int, month: Optional[int] = None,
                                table_name: str = '王适意_personal_chat',
                                schema: str = 'public',
-                               db_config: Optional[dict] = None) -> pd.DataFrame:
+                               db_config: Optional[dict] = None,
-    """从 Postgres 中读取历史消息并按年/月过滤。
+                               week: Optional[int] = None) -> pd.DataFrame:
+    """从 Postgres 中读取历史消息并按年/月或年/周过滤。
 
     参数：
       - year: 年份（四位数）
       - month: 可选的月份（1-12），若提供则只返回该月的数据
+      - week: 可选的每年的第几周（ISO week）。如果提供则优先按周过滤，会 bypass month，但会发出警告。
       - table_name: 数据库表名，默认 '王适意_personal_chat'
       - schema: schema，默认 'public'
       - db_config: 可选的数据库连接参数字典（含 host, port, user, password, database）
@@ -33,7 +36,7 @@ def load_history_by_year_month(year: int, month: Optional[int] = None,
     port = int(cfg.get('port') or cfg.get('db_port') or 5432)
     user = cfg.get('user') or cfg.get('db_user')
     password = cfg.get('password') or cfg.get('db_password')
-    database = cfg.get('database') or cfg.get('db_name')
+    database = cfg.get('tg_message_db_name')
 
     pg = PgHandler(host=host, port=port, user=user, password=password, database=database)
     try:
@@ -66,7 +69,24 @@ def load_history_by_year_month(year: int, month: Optional[int] = None,
 
     df = df.copy()
     df['dt'] = dt
-    # 过滤年份和可选月份
+
+    # 如果同时提供 month 和 week，警告并以 week 为准（week 优先）
+    if week is not None and month is not None:
+        warnings.warn('Both "month" and "week" provided; "week" will take precedence and "month" will be ignored.', UserWarning)
+
+    # 过滤年份和可选月份/周
+    # 当提供 week 时，按 ISO week 过滤，并且考虑 ISO week 的 year（isocalendar year）以确保正确匹配
+    if week is not None:
+        # Pandas >= 1.1 提供 dt.isocalendar()
+        try:
+            iso = df['dt'].dt.isocalendar()
+            # iso is a DataFrame-like with 'year' and 'week' columns
+            df = df[(iso['year'] == int(year)) & (iso['week'] == int(week))]
+        except Exception:
+            # 备选：使用 datetime.isocalendar() per-row（较慢）
+            df = df[df['dt'].apply(lambda x: x.isocalendar()[0] == int(year) and x.isocalendar()[1] == int(week))]
+    else:
+        # 默认按 calendar 年过滤
         df = df[df['dt'].dt.year == int(year)]
         if month is not None:
             df = df[df['dt'].dt.month == int(month)]
@@ -74,13 +94,14 @@ def load_history_by_year_month(year: int, month: Optional[int] = None,
     df = df.sort_values('dt').reset_index(drop=True)
     return df
 
+
 def do_analysis_on_history_messages(df: pd.DataFrame):
     data = df.to_dict(orient='records')
     to_model_data = [
         {
-            'message_datetime': item.get('message_datetime'),
+            'msg_time': item.get('message_datetime'),
-            'message_from': item.get('message_from'),
+            'msg_from': item.get('message_from'),
-            'message_text': item.get('message_text'),
+            'msg_text': f"转发来自{item['forward_from']}的消息: {item.get('message_text')}" if item.get('forward_from') else item.get('message_text'),
             'file_type': item.get('file_type'),
         }
         for item in data
@@ -89,8 +110,8 @@ def do_analysis_on_history_messages(df: pd.DataFrame):
     prompt = f"""
 你是一个聊天记录分析专家，擅长根据用户的聊天记录，分析用户的行为，然后撰写报告。
 你的报告应当包含以下内容：
-1. 以天为单位，分析用户在这一天内的主要活动和重大事件。每一天的总结应当独立成段。
+1. 以天为单位，分析用户在这一天内的主要活动和重大事件。每一天的总结应当独立成段。每一天的重大事件应当按照时间顺序排列。
-2. 按照月时间维度，输出总结。
+2. 输出总结报告。
 
 你的总结应当包括但不限于以下内容：
 - 用户在这个月内的主要活动和重大事件。
@@ -113,7 +134,7 @@ def do_analysis_on_history_messages(df: pd.DataFrame):
 
 
 if __name__ == "__main__":
-    df_month = load_history_by_year_month(2025, month=1)
+    # df = load_history_by_year_month(2025, month=1)
-    summary = do_analysis_on_history_messages(df_month)
+    df = load_history_by_year_month(2025, week=2)
-    print(f"Loaded {len(df_month)} messages for May 2023")
+    summary = do_analysis_on_history_messages(df)
-
+    print(f"done")