improvement(tools): 增强配置模板与字段含义生成

- generate_config_template: 增加 CLI 参数；FTS/PRAGMA 失败时从建表 SQL 兜底解析列\n- generate_wechat_db_config: 扩充库描述/字段含义词典，并支持从 tools/ 目录运行\n- 新增 export_database_schema_markdown：基于 wechat_db_config.json 导出 Markdown 文档

generate_config_template.py

@@ -6,6 +6,7 @@
 
 import sqlite3
 import json
+import argparse
 from pathlib import Path
 from typing import Dict, List, Any
 from collections import defaultdict
@@ -127,6 +128,82 @@ class ConfigTemplateGenerator:
         
         try:
             cursor = conn.cursor()
+
+            def parse_columns_from_create_sql(create_sql: str) -> list[tuple[str, str]]:
+                """
+                从建表 SQL 中尽力解析列名（用于 FTS5/缺失 tokenizer 扩展导致 PRAGMA 失败的情况）。
+                返回 (name, type)；类型缺失时默认 TEXT。
+                """
+                out: list[tuple[str, str]] = []
+                if not create_sql:
+                    return out
+                try:
+                    start = create_sql.find("(")
+                    end = create_sql.rfind(")")
+                    if start == -1 or end == -1 or end <= start:
+                        return out
+                    inner = create_sql[start + 1:end]
+
+                    parts: list[str] = []
+                    buf = ""
+                    depth = 0
+                    for ch in inner:
+                        if ch == "(":
+                            depth += 1
+                        elif ch == ")":
+                            depth -= 1
+                        if ch == "," and depth == 0:
+                            parts.append(buf.strip())
+                            buf = ""
+                        else:
+                            buf += ch
+                    if buf.strip():
+                        parts.append(buf.strip())
+
+                    for part in parts:
+                        token = part.strip()
+                        if not token:
+                            continue
+                        low = token.lower()
+                        # 跳过约束/外键等
+                        if low.startswith(("constraint", "primary", "unique", "foreign", "check")):
+                            continue
+                        # fts5 选项（tokenize/prefix/content/content_rowid 等）
+                        if "=" in token:
+                            key = token.split("=", 1)[0].strip().lower()
+                            if key in ("tokenize", "prefix", "content", "content_rowid", "compress", "uncompress"):
+                                continue
+                        tokens = token.split()
+                        if not tokens:
+                            continue
+                        name = tokens[0].strip("`\"[]")
+                        typ = tokens[1].upper() if len(tokens) > 1 and "=" not in tokens[1] else "TEXT"
+                        out.append((name, typ))
+                except Exception:
+                    return out
+                return out
+
+            def get_table_columns(table_name: str) -> list[tuple[str, str]]:
+                # 先尝试 PRAGMA
+                try:
+                    cursor.execute(f"PRAGMA table_info({table_name})")
+                    columns = cursor.fetchall()
+                    if columns:
+                        return [(col[1], col[2]) for col in columns]
+                except Exception:
+                    pass
+
+                # 兜底：从 sqlite_master.sql 解析
+                try:
+                    cursor.execute(
+                        "SELECT sql FROM sqlite_master WHERE type='table' AND name=?",
+                        (table_name,),
+                    )
+                    row = cursor.fetchone()
+                    create_sql = row[0] if row and len(row) > 0 else ""
+                    return parse_columns_from_create_sql(create_sql or "")
+                except Exception:
+                    return []
             
             # 获取所有表名
             cursor.execute("SELECT name FROM sqlite_master WHERE type='table'")
@@ -152,13 +229,10 @@ class ConfigTemplateGenerator:
                     table_key = f"{prefix}_*"  # 使用模式名
                     
                     # 获取代表表的字段信息
-                    cursor.execute(f"PRAGMA table_info({representative_table})")
-                    columns = cursor.fetchall()
+                    columns = get_table_columns(representative_table)
                     
                     fields = {}
-                    for col in columns:
-                        field_name = col[1]
-                        field_type = col[2]
+                    for field_name, field_type in columns:
                         fields[field_name] = {
                             "type": field_type,
                             "meaning": "",  # 留空供用户填写
@@ -188,13 +262,10 @@ class ConfigTemplateGenerator:
                 
                 try:
                     # 获取表字段信息
-                    cursor.execute(f"PRAGMA table_info({table_name})")
-                    columns = cursor.fetchall()
+                    columns = get_table_columns(table_name)
                     
                     fields = {}
-                    for col in columns:
-                        field_name = col[1]
-                        field_type = col[2]
+                    for field_name, field_type in columns:
                         fields[field_name] = {
                             "type": field_type,
                             "meaning": "",  # 留空供用户填写
@@ -219,16 +290,23 @@ class ConfigTemplateGenerator:
         finally:
             conn.close()
     
-    def generate_template(self, output_file: str = "wechat_db_config_template.json"):
+    def generate_template(
+        self,
+        output_file: str = "wechat_db_config_template.json",
+        *,
+        include_excluded: bool = False,
+        include_message_shards: bool = False,
+        exclude_db_stems: set[str] | None = None,
+    ):
         """生成配置模板"""
         print("开始生成微信数据库配置模板...")
         
         # 定义要排除的数据库模式和描述
-        excluded_patterns = {
-            r'biz_message_\d+\.db$': '企业微信聊天记录数据库',
-            r'bizchat\.db$': '企业微信联系人数据库',
-            r'contact_fts\.db$': '搜索联系人数据库',
-            r'favorite_fts\.db$': '搜索收藏数据库'
+        excluded_patterns = {} if include_excluded else {
+            r'biz_message_\d+\.db$': '公众号/企业微信聊天记录数据库（通常不参与个人聊天分析）',
+            r'bizchat\.db$': '企业微信联系人/会话数据库（通常不参与个人聊天分析）',
+            r'contact_fts\.db$': '联系人搜索索引数据库（FTS）',
+            r'favorite_fts\.db$': '收藏搜索索引数据库（FTS）'
         }
         
         # 查找所有数据库文件
@@ -263,29 +341,38 @@ class ConfigTemplateGenerator:
             for excluded_file, description in excluded_files:
                 print(f"  - {excluded_file.name} ({description})")
         
+        # 显式排除指定 stem（不含 .db）
+        if exclude_db_stems:
+            before = len(db_files)
+            db_files = [p for p in db_files if p.stem not in exclude_db_stems]
+            after = len(db_files)
+            if before != after:
+                print(f"\n按 --exclude-db-stem 排除 {before - after} 个数据库: {sorted(exclude_db_stems)}")
+
         print(f"\n实际处理 {len(db_files)} 个数据库文件")
         
         # 过滤message数据库，只保留倒数第二个（与主脚本逻辑一致）
-        message_numbered_dbs = []
-        message_other_dbs = []
-        
-        for db in db_files:
-            if re.match(r'message_\d+$', db.stem):  # message_{数字}.db
-                message_numbered_dbs.append(db)
-            elif db.stem.startswith('message_'):  # message_fts.db, message_resource.db等
-                message_other_dbs.append(db)
-        
-        if len(message_numbered_dbs) > 1:
-            # 按数字编号排序（提取数字进行排序）
-            message_numbered_dbs.sort(key=lambda x: int(re.search(r'message_(\d+)', x.stem).group(1)))
-            # 选择倒数第二个（按编号排序）
-            selected_message_db = message_numbered_dbs[-2]  # 倒数第二个
-            print(f"检测到 {len(message_numbered_dbs)} 个message_{{数字}}.db数据库")
-            print(f"选择倒数第二个: {selected_message_db.name}")
-            
-            # 从db_files中移除其他message_{数字}.db数据库，但保留message_fts.db等
-            db_files = [db for db in db_files if not re.match(r'message_\d+$', db.stem)]
-            db_files.append(selected_message_db)
+        if not include_message_shards:
+            message_numbered_dbs = []
+            message_other_dbs = []
+
+            for db in db_files:
+                if re.match(r'message_\d+$', db.stem):  # message_{数字}.db
+                    message_numbered_dbs.append(db)
+                elif db.stem.startswith('message_'):  # message_fts.db, message_resource.db等
+                    message_other_dbs.append(db)
+
+            if len(message_numbered_dbs) > 1:
+                # 按数字编号排序（提取数字进行排序）
+                message_numbered_dbs.sort(key=lambda x: int(re.search(r'message_(\d+)', x.stem).group(1)))
+                # 选择倒数第二个（按编号排序）
+                selected_message_db = message_numbered_dbs[-2]  # 倒数第二个
+                print(f"检测到 {len(message_numbered_dbs)} 个message_{{数字}}.db数据库")
+                print(f"选择倒数第二个: {selected_message_db.name}")
+
+                # 从db_files中移除其他message_{数字}.db数据库，但保留message_fts.db等
+                db_files = [db for db in db_files if not re.match(r'message_\d+$', db.stem)]
+                db_files.append(selected_message_db)
         
         print(f"实际分析 {len(db_files)} 个数据库文件")
         
@@ -370,11 +457,24 @@ class ConfigTemplateGenerator:
 
 def main():
     """主函数"""
+    parser = argparse.ArgumentParser(description="微信数据库字段配置模板生成器")
+    parser.add_argument("--databases-path", default="output/databases", help="解密后的数据库根目录（按账号分目录）")
+    parser.add_argument("--output", default="wechat_db_config_template.json", help="输出 JSON 模板路径")
+    parser.add_argument("--include-excluded", action="store_true", help="包含默认会被排除的数据库（如 bizchat/contact_fts/favorite_fts 等）")
+    parser.add_argument("--include-message-shards", action="store_true", help="包含所有 message_{n}.db（否则仅保留倒数第二个作代表）")
+    parser.add_argument("--exclude-db-stem", action="append", default=[], help="按 stem（不含 .db）排除数据库，可重复，例如: --exclude-db-stem digital_twin")
+    args = parser.parse_args()
+
     print("微信数据库配置模板生成器")
     print("=" * 50)
-    
-    generator = ConfigTemplateGenerator()
-    generator.generate_template()
+
+    generator = ConfigTemplateGenerator(databases_path=args.databases_path)
+    generator.generate_template(
+        output_file=args.output,
+        include_excluded=bool(args.include_excluded),
+        include_message_shards=bool(args.include_message_shards),
+        exclude_db_stems=set(args.exclude_db_stem or []),
+    )
 
 if __name__ == "__main__":
-    main()
+    main()

tools/export_database_schema_markdown.py

@@ -0,0 +1,530 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+
+"""
+导出微信数据库字段配置为一份 Markdown 文档（单文件）：
+
+- 输入：wechat_db_config.json（由 tools/generate_wechat_db_config.py 生成）
+- 输出：Markdown（包含：数据库 → 表/表组 → 字段与含义）
+
+说明：
+- 本脚本只基于“配置文件中的结构与字段含义”生成文档，不会读取真实数据内容；
+- 会对类似 Msg_<md5> 这类用户相关的哈希表名做脱敏显示。
+- 会将“同结构但表名仅数字不同”的重复表自动折叠为一个表组（常见于 FTS 分片/内部表）。
+
+用法示例：
+  python tools/export_database_schema_markdown.py \
+      --config wechat_db_config.json \
+      --output docs/wechat_database_schema.md
+"""
+
+from __future__ import annotations
+
+import argparse
+import json
+import re
+from datetime import datetime
+from pathlib import Path
+from typing import Any
+
+ROOT = Path(__file__).resolve().parents[1]
+
+
+_HASH_TABLE_RE = re.compile(r"^([A-Za-z0-9]+)_([0-9a-fA-F]{16,})$")
+
+
+def _md_escape_cell(v: Any) -> str:
+    """Escape Markdown table cell content."""
+    if v is None:
+        return "-"
+    s = str(v)
+    # Keep it one-line for tables.
+    s = s.replace("\r", " ").replace("\n", " ").strip()
+    # Escape pipe
+    s = s.replace("|", r"\|")
+    return s if s else "-"
+
+
+def _mask_hash_table_name(name: str) -> str:
+    """
+    Mask user-specific hash suffix table names:
+      Msg_00140f... -> Msg_<hash>
+    """
+    m = _HASH_TABLE_RE.match(name)
+    if not m:
+        return name
+    return f"{m.group(1)}_<hash>"
+
+
+def _db_sort_key(db_name: str) -> tuple[int, int, str]:
+    """
+    Roughly sort DBs by importance for readers.
+    """
+    # Core
+    if db_name == "contact":
+        return (10, 0, db_name)
+    if db_name == "session":
+        return (20, 0, db_name)
+    m = re.match(r"^message_(\d+)$", db_name)
+    if m:
+        return (30, int(m.group(1)), db_name)
+    if re.match(r"^biz_message_(\d+)$", db_name):
+        n = int(re.match(r"^biz_message_(\d+)$", db_name).group(1))  # type: ignore[union-attr]
+        return (31, n, db_name)
+    if db_name == "message_resource":
+        return (40, 0, db_name)
+    if db_name == "media_0":
+        return (41, 0, db_name)
+    if db_name == "hardlink":
+        return (42, 0, db_name)
+    if db_name == "head_image":
+        return (43, 0, db_name)
+
+    # Social / content
+    if db_name == "sns":
+        return (50, 0, db_name)
+    if db_name == "favorite":
+        return (60, 0, db_name)
+    if db_name == "emoticon":
+        return (70, 0, db_name)
+
+    # System / misc
+    if db_name in {"general", "unspportmsg"}:
+        return (80, 0, db_name)
+
+    # Search / index
+    if db_name in {"chat_search_index", "message_fts"} or db_name.endswith("_fts"):
+        return (90, 0, db_name)
+
+    # Others
+    return (100, 0, db_name)
+
+
+def _render_message_type_map(message_types: dict[str, Any]) -> str:
+    # In Windows WeChat v4, `local_type` is commonly a 64-bit integer:
+    #   raw = (sub_type << 32) | type
+    # Some configs may still store explicit (type, sub_type) pairs; handle both.
+    items: list[tuple[int, int, int, str]] = []
+    for k, v in message_types.items():
+        if k in {"_instructions", "examples"}:
+            continue
+        if not isinstance(k, str) or "," not in k:
+            continue
+        a, b = k.split(",", 1)
+        try:
+            a_i = int(a)
+            b_i = int(b)
+        except Exception:
+            continue
+        desc = str(v)
+
+        if b_i != 0:
+            msg_type = a_i
+            msg_sub = b_i
+            raw = (msg_sub << 32) | (msg_type & 0xFFFFFFFF)
+        else:
+            raw = a_i
+            msg_type = raw & 0xFFFFFFFF
+            msg_sub = (raw >> 32) & 0xFFFFFFFF
+
+        items.append((raw, msg_type, msg_sub, desc))
+
+    if not items:
+        return ""
+
+    # Sort by decoded (type, sub_type), then raw value.
+    items.sort(key=lambda x: (x[1], x[2], x[0]))
+
+    out = "## 消息类型（local_type）速查\n\n"
+    out += "说明：Windows 微信 v4 的 `local_type` 常见为 64 位整型：`raw = (sub_type<<32) | type`。\n\n"
+    out += "| local_type(raw) | type(low32) | sub_type(high32) | 含义 |\n|---:|---:|---:|---|\n"
+    for raw, t, st, desc in items:
+        out += f"| {raw} | {t} | {st} | {_md_escape_cell(desc)} |\n"
+    return out + "\n"
+
+
+def _table_schema_signature(table: dict[str, Any]) -> tuple[str, str, tuple[tuple[str, str, str, str], ...]]:
+    """
+    Build a stable signature for a table schema in config.
+
+    Used to fold tables which are structurally identical but only differ in name
+    (e.g. message_fts_v4_aux_0..3).
+    """
+    t_type = str(table.get("type", "table"))
+    desc = str(table.get("description", ""))
+    fields = table.get("fields") or {}
+
+    items: list[tuple[str, str, str, str]] = []
+    if isinstance(fields, dict):
+        for field_name, fm in fields.items():
+            if not isinstance(fm, dict):
+                fm = {}
+            items.append(
+                (
+                    str(field_name),
+                    str(fm.get("type", "")),
+                    str(fm.get("meaning", "")),
+                    str(fm.get("notes", "")),
+                )
+            )
+    items.sort(key=lambda x: x[0])
+    return (t_type, desc, tuple(items))
+
+
+def _name_family_key(name: str) -> str:
+    """Normalize a table name into a family key by replacing digit runs with {n}."""
+    return re.sub(r"\d+", "{n}", name)
+
+
+def _make_group_pattern(table_names: list[str]) -> str:
+    """
+    Make a readable pattern for a group of similar table names:
+
+    - Only varying numeric segments become `{n}`
+    - Constant numeric segments are kept as-is
+
+    Example:
+      message_fts_v4_0/message_fts_v4_1 -> message_fts_v4_{n}
+      ImgFts0V0/ImgFts1V0 -> ImgFts{n}V0
+    """
+    if not table_names:
+        return ""
+
+    tokenized = [re.split(r"(\d+)", n) for n in table_names]
+    base = tokenized[0]
+
+    # Ensure token structures match; otherwise fall back to a simple normalization.
+    for t in tokenized[1:]:
+        if len(t) != len(base):
+            return _name_family_key(table_names[0])
+        for i in range(0, len(base), 2):
+            if t[i] != base[i]:
+                return _name_family_key(table_names[0])
+
+    out_parts: list[str] = []
+    for i, part in enumerate(base):
+        if i % 2 == 0:
+            out_parts.append(part)
+            continue
+        nums = {t[i] for t in tokenized if i < len(t)}
+        out_parts.append(part if len(nums) == 1 else "{n}")
+    return "".join(out_parts)
+
+
+def _fold_same_schema_tables_for_display(
+    tables: dict[str, Any],
+) -> list[tuple[str, dict[str, Any]]]:
+    """
+    Fold duplicated tables that share the same schema/signature but only differ in name.
+
+    This is common in FTS shards, e.g.:
+      message_fts_v4_aux_0..3
+      message_fts_v4_0..3 and their internal *_content/*_data/*_idx tables
+      ImgFts0V0..3 and their internal tables
+
+    Returns a list of (display_name, table_dict) items sorted by the original table name order.
+    """
+    if not tables:
+        return []
+
+    # (family_key, schema_sig) -> [table_name, ...]
+    groups: dict[tuple[str, tuple[str, str, tuple[tuple[str, str, str, str], ...]]], list[str]] = {}
+    for table_name, table in tables.items():
+        if not isinstance(table, dict):
+            continue
+        if str(table.get("type", "table")) == "similar_group":
+            continue
+        family = _name_family_key(str(table_name))
+        sig = _table_schema_signature(table)
+        groups.setdefault((family, sig), []).append(str(table_name))
+
+    consumed: set[str] = set()
+    items: list[tuple[str, str, dict[str, Any]]] = []  # (sort_key, display_name, table)
+    used_display_names: set[str] = set()
+
+    # Create auto "similar_group" entries for groups > 1.
+    for (_, _), names in sorted(groups.items(), key=lambda x: x[0][0]):
+        if len(names) <= 1:
+            continue
+        names_sorted = sorted(names)
+        rep = names_sorted[0]
+        rep_table = tables.get(rep)
+        if not isinstance(rep_table, dict):
+            continue
+        pattern = _make_group_pattern(names_sorted)
+        if not pattern:
+            pattern = _name_family_key(rep)
+
+        display_name = pattern
+        if display_name in used_display_names:
+            # Rare: same name pattern but different schema signatures. Disambiguate.
+            n = 2
+            while f"{pattern} (var{n})" in used_display_names:
+                n += 1
+            display_name = f"{pattern} (var{n})"
+
+        group_entry = dict(rep_table)
+        group_entry.update(
+            {
+                "type": "similar_group",
+                "pattern": pattern,
+                "table_count": len(names_sorted),
+                "representative_table": rep,
+                "table_names": names_sorted,
+            }
+        )
+        items.append((rep, display_name, group_entry))
+        used_display_names.add(display_name)
+        consumed.update(names_sorted)
+
+    # Keep non-grouped tables (and existing similar_group) as-is.
+    for table_name, table in tables.items():
+        if not isinstance(table, dict):
+            continue
+        if str(table_name) in consumed:
+            continue
+        items.append((str(table_name), str(table_name), table))
+
+    items.sort(key=lambda x: (x[0], x[1]))
+    return [(display_name, table) for _, display_name, table in items]
+
+
+def export_markdown(config_path: Path, output_path: Path) -> None:
+    cfg = json.loads(config_path.read_text(encoding="utf-8"))
+    meta = cfg.get("_metadata") or {}
+    databases: dict[str, Any] = cfg.get("databases") or {}
+
+    # message_{n}.db are typically shards with identical schema. Keep only the last shard for detailed sections.
+    message_shards: list[tuple[int, str]] = []
+    for name in databases.keys():
+        m = re.match(r"^message_(\d+)$", str(name))
+        if not m:
+            continue
+        try:
+            message_shards.append((int(m.group(1)), str(name)))
+        except Exception:
+            continue
+    message_shards.sort(key=lambda x: x[0])
+    rep_message_db: str | None = message_shards[-1][1] if message_shards else None
+    all_message_db_names = [n for _, n in message_shards]
+
+    now = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+    gen_time = meta.get("generated_time") or now
+
+    lines: list[str] = []
+    lines.append("# Windows 微信数据库结构文档（自动生成）")
+    lines.append("")
+    lines.append(f"> 生成时间：{_md_escape_cell(gen_time)}")
+    lines.append(f"> 本次导出：{now}")
+    lines.append(f"> 配置来源：`{config_path.as_posix()}`（由 `tools/generate_wechat_db_config.py` 生成）")
+    lines.append("")
+    lines.append("参考资料：")
+    lines.append("- `万字长文带你了解Windows微信.md`（目录结构/部分表结构与含义）")
+    lines.append("- 本项目前端页面与后端解析逻辑（字段命名与用途）")
+    lines.append("")
+    lines.append("注意：")
+    lines.append("- 本文档尽量覆盖“库/表/字段”，字段含义部分来自启发式与公开资料，可能存在不准确之处。")
+    lines.append("- 为避免泄露个人数据，类似 `Msg_<md5>` 的哈希表名会脱敏显示。")
+    lines.append("- 部分 FTS 虚表可能依赖微信自定义 tokenizer（如 `MMFtsTokenizer`），普通 sqlite 环境下查询会报错；本文档字段来自建表 SQL/模板解析。")
+    lines.append("")
+
+    # Overview
+    lines.append("## 数据库总览")
+    lines.append("")
+    lines.append("| 数据库 | 描述 | 表数量 |")
+    lines.append("|---|---|---:|")
+
+    for db_name in sorted(databases.keys(), key=_db_sort_key):
+        db = databases.get(db_name) or {}
+        if not isinstance(db, dict):
+            continue
+        desc = db.get("description", "")
+        tables = db.get("tables") or {}
+        lines.append(
+            f"| `{db_name}.db` | {_md_escape_cell(desc)} | {len(tables) if isinstance(tables, dict) else 0} |"
+        )
+    lines.append("")
+
+    lines.append("## 本项目（前端）功能与数据库大致对应")
+    lines.append("")
+    lines.append("- 联系人/群聊：`contact.db`（contact/chat_room/chatroom_member/label 等）")
+    lines.append("- 会话列表/未读：`session.db`（通常为 SessionTable/ChatInfo 等）")
+    lines.append("- 聊天记录：`message_*.db`（`Msg_*` 表组 + `Name2Id` 映射等）")
+    lines.append("- 消息资源/媒体：`message_resource.db` / `hardlink.db` / `media_0.db` / `head_image.db`")
+    lines.append("- 朋友圈：`sns.db`")
+    lines.append("- 收藏：`favorite.db`")
+    lines.append("- 表情包：`emoticon.db`")
+    lines.append("- 搜索：`chat_search_index.db` / `message_fts.db` / `*_fts.db`（不同版本/实现可能不同）")
+    lines.append("")
+
+    # Per DB
+    for db_name in sorted(databases.keys(), key=_db_sort_key):
+        # Skip duplicated details for message shards; only keep the last shard as representative.
+        if rep_message_db and re.match(r"^message_\d+$", str(db_name)) and str(db_name) != rep_message_db:
+            continue
+
+        db = databases.get(db_name) or {}
+        if not isinstance(db, dict):
+            continue
+
+        desc = db.get("description", "")
+        tables = db.get("tables") or {}
+        if not isinstance(tables, dict):
+            tables = {}
+
+        display_table_items = _fold_same_schema_tables_for_display(tables)
+        display_table_count = len(display_table_items)
+
+        lines.append(f"## {db_name}.db")
+        lines.append("")
+        lines.append(f"- 描述：{_md_escape_cell(desc)}")
+        if display_table_count != len(tables):
+            lines.append(f"- 表数量：{len(tables)}（同结构表折叠后展示 {display_table_count}）")
+        else:
+            lines.append(f"- 表数量：{len(tables)}")
+        lines.append("")
+
+        # Extra note for message shards
+        if re.match(r"^message_\d+$", db_name):
+            if rep_message_db and db_name == rep_message_db and len(all_message_db_names) > 1:
+                others = [n for n in all_message_db_names if n != rep_message_db]
+                # Keep it short; avoid blowing up the doc with too many names if there are lots of shards.
+                if len(others) <= 10:
+                    lines.append(f"本节仅展示最后一个分片 `{rep_message_db}.db` 的结构；其它分片结构通常一致：{', '.join([f'`{n}.db`' for n in others])}。")
+                else:
+                    lines.append(
+                        f"本节仅展示最后一个分片 `{rep_message_db}.db` 的结构；其它分片（{len(others)} 个）结构通常一致。"
+                    )
+            lines.append("说明：")
+            lines.append("- `Msg_*` 表组通常对应“每个联系人/会话一个表”，常见命名为 `Msg_{md5(wxid)}`。")
+            lines.append("- 可通过对 wxid 做 md5 计算定位具体会话表；或结合 `Name2Id`/`name2id` 映射表进行解析。")
+            lines.append("")
+            lines.append("示例（Python）：")
+            lines.append("")
+            lines.append("```python")
+            lines.append("import hashlib")
+            lines.append("")
+            lines.append("wxid = \"wxid_xxx\"")
+            lines.append("md5_hex = hashlib.md5(wxid.encode(\"utf-8\")).hexdigest()")
+            lines.append("table = f\"Msg_{md5_hex}\"")
+            lines.append("print(table)")
+            lines.append("```")
+            lines.append("")
+
+        # Tables
+        for table_name, table in display_table_items:
+            if not isinstance(table, dict):
+                continue
+
+            t_type = table.get("type", "table")
+            t_desc = table.get("description", "")
+
+            # Table header
+            display_table_name = _mask_hash_table_name(table_name)
+            lines.append(f"### {display_table_name}")
+            lines.append("")
+            if t_desc:
+                lines.append(f"- 描述：{_md_escape_cell(t_desc)}")
+            if t_type == "similar_group":
+                pat = table.get("pattern") or display_table_name
+                rep = table.get("representative_table")
+                table_count = table.get("table_count")
+                lines.append(f"- 类型：相似表组（pattern: `{_md_escape_cell(pat)}`）")
+                if table_count is not None:
+                    lines.append(f"- 表数量：{_md_escape_cell(table_count)}")
+                if rep:
+                    rep_s = str(rep)
+                    rep_masked = _mask_hash_table_name(rep_s)
+                    rep_note = "（已脱敏）" if rep_masked != rep_s else ""
+                    lines.append(f"- 代表表：`{_md_escape_cell(rep_masked)}`{rep_note}")
+
+                members = table.get("table_names") or table.get("tables")
+                if isinstance(members, list) and members:
+                    member_names = [str(x) for x in members]
+                    member_names = [_mask_hash_table_name(n) for n in member_names]
+                    if len(member_names) <= 20:
+                        show = member_names
+                        suffix = ""
+                    else:
+                        show = member_names[:10] + ["..."] + member_names[-5:]
+                        suffix = f"（共 {len(member_names)} 个）"
+                    parts = [f"`{_md_escape_cell(n)}`" if n != "..." else "..." for n in show]
+                    lines.append(f"- 包含表：{', '.join(parts)}{suffix}")
+            lines.append("")
+
+            fields = table.get("fields") or {}
+            if not isinstance(fields, dict) or not fields:
+                lines.append("_无字段信息_\n")
+                continue
+
+            lines.append("| 字段 | 类型 | 含义 | 备注 |")
+            lines.append("|---|---|---|---|")
+            for field_name in sorted(fields.keys()):
+                fm = fields.get(field_name) or {}
+                if not isinstance(fm, dict):
+                    fm = {}
+                f_type = fm.get("type", "")
+                meaning = fm.get("meaning", "")
+                notes = fm.get("notes", "")
+                lines.append(
+                    f"| `{_md_escape_cell(field_name)}` | `{_md_escape_cell(f_type)}` | {_md_escape_cell(meaning)} | {_md_escape_cell(notes)} |"
+                )
+            lines.append("")
+
+    # Appendices
+    message_types = cfg.get("message_types") or {}
+    if isinstance(message_types, dict) and message_types:
+        mt = _render_message_type_map(message_types)
+        if mt:
+            lines.append(mt)
+
+    friend_types = cfg.get("friend_types") or {}
+    if isinstance(friend_types, dict) and friend_types:
+        # friend_types in config usually uses string keys
+        items: list[tuple[int, str]] = []
+        for k, v in friend_types.items():
+            if k in {"_instructions", "examples"}:
+                continue
+            try:
+                items.append((int(str(k)), str(v)))
+            except Exception:
+                continue
+        items.sort(key=lambda x: x[0])
+
+        if items:
+            lines.append("## 联系人类型（friend_type）速查\n")
+            lines.append("| 值 | 含义 |\n|---:|---|\n")
+            for code, desc in items:
+                lines.append(f"| {code} | {_md_escape_cell(desc)} |")
+            lines.append("")
+
+    output_path.parent.mkdir(parents=True, exist_ok=True)
+    output_path.write_text("\n".join(lines) + "\n", encoding="utf-8")
+
+
+def main() -> int:
+    parser = argparse.ArgumentParser(description="导出微信数据库字段配置为 Markdown 文档（单文件）")
+    parser.add_argument(
+        "--config",
+        default=str(ROOT / "wechat_db_config.json"),
+        help="wechat_db_config.json 路径（由 tools/generate_wechat_db_config.py 生成）",
+    )
+    parser.add_argument(
+        "--output",
+        default=str(ROOT / "docs" / "wechat_database_schema.md"),
+        help="Markdown 输出路径",
+    )
+    args = parser.parse_args()
+
+    cfg = Path(args.config)
+    if not cfg.exists():
+        raise FileNotFoundError(f"未找到配置文件: {cfg}，请先运行 tools/generate_wechat_db_config.py")
+
+    out = Path(args.output)
+    export_markdown(cfg, out)
+    print(f"[OK] 写出 Markdown: {out}")
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())

tools/generate_wechat_db_config.py

@@ -14,6 +14,7 @@ import json
 import re
 from pathlib import Path
 from datetime import datetime
+import sys
 
 ROOT = Path(__file__).resolve().parents[1]
 TEMPLATE_PATH = ROOT / "wechat_db_config_template.json"
@@ -21,6 +22,10 @@ OUTPUT_MAIN = ROOT / "wechat_db_config.json"
 OUTPUT_DIR = ROOT / "output" / "configs"
 OUTPUT_COPY = OUTPUT_DIR / "wechat_db_config.generated.json"
 
+# 允许从 tools/ 目录运行时仍能 import 根目录模块
+if str(ROOT) not in sys.path:
+    sys.path.insert(0, str(ROOT))
+
 # 尝试导入分析器以复用其启发式
 AnalyzerCls = None
 try:
@@ -33,19 +38,24 @@ except Exception:
 def build_db_descriptions() -> dict[str, str]:
     return {
         "message": "聊天记录核心数据库",
-        "message_3": "聊天消息分表数据库（示例或分片）",
+        # message_{n}.db 会在 fill_config 里按正则单独处理（分片/分表）
         "message_fts": "聊天消息全文索引数据库（FTS）",
         "message_resource": "消息资源索引数据库（图片/文件/视频等）",
         "contact": "联系人数据库（好友/群/公众号基础信息）",
         "session": "会话数据库（会话列表与未读统计）",
         "sns": "朋友圈数据库（动态与互动）",
         "favorite": "收藏数据库",
+        "favorite_fts": "收藏全文索引数据库（FTS）",
         "emoticon": "表情包数据库",
         "head_image": "头像数据数据库",
         "hardlink": "硬链接索引数据库（资源去重/快速定位）",
         "media_0": "媒体数据数据库（含语音SILK等）",
         "unspportmsg": "不支持消息数据库（客户端不支持的消息类型）",
         "general": "通用/系统数据库（新消息通知/支付等）",
+        "contact_fts": "联系人全文索引数据库（FTS）",
+        "chat_search_index": "（本项目生成）聊天记录全文检索索引库（FTS5，用于搜索）",
+        "bizchat": "公众号/企业微信相关数据库（会话/联系人等）",
+        "digital_twin": "（本项目生成）数字分身数据库（派生数据，非微信原始库）",
     }
 
 
@@ -172,6 +182,12 @@ KNOWN_FIELD_MEANINGS = {
     "c4": "FTS列c4（内部结构）",
     "c5": "FTS列c5（内部结构）",
     "c6": "FTS列c6（内部结构）",
+    "c7": "FTS列c7（内部结构）",
+    "c8": "FTS列c8（内部结构）",
+    "c9": "FTS列c9（内部结构）",
+    "c10": "FTS列c10（内部结构）",
+    "c11": "FTS列c11（内部结构）",
+    "c12": "FTS列c12（内部结构）",
     "sz": "FTS文档大小信息",
     "_rowid_": "SQLite内部行ID",
 
@@ -199,12 +215,483 @@ KNOWN_FIELD_MEANINGS = {
     "last_sender_display_name": "最后一条消息发送者显示名",
     "last_msg_ext_type": "最后一条消息扩展类型",
 
+    # 常见“Key-Value”配置表（多库复用）
+    "key": "键（Key-Value配置表）",
+    "valueint64": "整数值（int64）",
+    "valuedouble": "浮点值（double）",
+    "valuestdstr": "字符串值（std::string）",
+    "valueblob": "二进制值（blob）",
+    "k": "配置键（k）",
+    "v": "配置值（v）",
+
+    # 常见保留字段
+    "reserved0": "保留字段（reserved0）",
+    "reserved1": "保留字段（reserved1）",
+    "reserved2": "保留字段（reserved2）",
+    "reserved3": "保留字段（reserved3）",
+
+    # 版本/位标志
+    "version": "版本号（记录/结构版本，具体含义依表而定）",
+    "bit_flag": "位标志/开关（bit flags）",
+
+    # 本项目索引/缓存库常见字段
+    "render_type": "渲染类型（本项目定义：text/image/system/...）",
+    "db_stem": "来源数据库分片名（如 message_0）",
+    "table_name": "来源表名（如 Msg_xxx）",
+    "sender_username": "发送者username（解码后）",
+    "preview": "会话预览文本（用于会话列表展示）",
+    "built_at": "构建时间（Unix时间戳，秒）",
+    "tablename": "表名（tableName）",
+    "value": "值（value）",
+    "brand_user_name": "品牌/公众号username（brand_user_name）",
+
+    # 常见业务字段（命名自解释）
+    "ticket": "票据/验证ticket（ticket）",
+    "delete_table_name": "删除记录关联的消息表名（delete_table_name）",
+    "res_path": "资源路径（res_path）",
+    "biz_username": "公众号username（biz_username）",
+    "search_key": "搜索键/索引字段（search_key）",
+    "click_type": "点击/热词类型（click_type）",
+    "a_group_remark": "群备注（FTS检索字段：a_group_remark）",
+    "op_code": "操作码（op_code）",
+    "query": "查询关键词（query）",
+    "score": "评分/权重（score）",
+    "keyword": "关键词（keyword）",
+    "pay_load_": "payload/扩展数据（pay_load_）",
+    "bill_no": "账单号（bill_no）",
+    "session_title": "会话标题（session_title）",
+    "unread_stat": "未读统计字段（unread_stat）",
+    "ui_type": "UI类型/发布类型（ui_type）",
+    "error_type": "错误类型（error_type）",
+    "tips_content": "提示内容（tips_content）",
+    "record_content": "记录内容（record_content）",
+    "business_type": "业务类型（business_type）",
+    "access_content_key": "访问内容key（access_content_key）",
+    "access_content_type": "访问内容类型（access_content_type）",
+    "range_type": "范围类型（range_type）",
+    "message_local_type": "消息类型（message_local_type）",
+    "message_origin_source": "消息来源标识（message_origin_source）",
+
+    # 朋友圈（sns）常见拆分字段
+    "tid_heigh_bit": "tid 高位拆分字段（heigh_bit，字段名原样保留）",
+    "tid_low_bit": "tid 低位拆分字段（low_bit）",
+    "break_flag": "断点/分页标志（0/1；用于分页/增量拉取水位）",
+
     # WCDB 压缩控制
     "WCDB_CT_message_content": "WCDB压缩标记（message_content列）",
     "WCDB_CT_source": "WCDB压缩标记（source列）",
 }
 
 
+# 表级字段含义覆盖（优先级高于 KNOWN_FIELD_MEANINGS）
+# key: table_name.lower() ; value: { field_name.lower(): meaning }
+KNOWN_FIELD_MEANINGS_BY_TABLE: dict[str, dict[str, str]] = {
+    # contact.db
+    "contact": {
+        "id": "序号（通常与 name2id.rowid 对应）",
+        "username": "联系人的 wxid / 群聊 username（可唯一确定联系人）",
+        "local_type": "联系人类型：1=通讯录好友/公众号/已添加群聊；2=未添加到通讯录的群聊；3=群中的陌生人；5=企业微信好友；6=群聊中的陌生企业微信好友",
+        "alias": "微信号（微信里显示的微信号）",
+        "flag": "联系人标志位（需转二进制；常见：第7位星标，第12位置顶，第17位屏蔽朋友圈，第24位仅聊天）",
+        "head_img_md5": "头像md5（可通过 head_image.db 查询对应头像）",
+        "verify_flag": "认证标志（公众号/企业等；非0常表示公众号）",
+        "description": "描述字段（样本为空；用途待确认）",
+        "extra_buffer": "好友扩展信息（protobuf；包含性别/地区/签名等，本项目解析 gender/signature/country/province/city/source_scene）",
+        "chat_room_notify": "群消息通知相关设置（样本为0/1；疑似免打扰/通知开关，待确认）",
+        "is_in_chat_room": "群聊状态标记（样本为1/2；具体含义待确认）",
+        "chat_room_type": "群聊类型/标志（样本为0/2；具体含义待确认）",
+    },
+    "stranger": {
+        "id": "序号（通常与 name2id.rowid 对应）",
+        "username": "联系人的 wxid / 群聊 username",
+        "local_type": "联系人类型：1=通讯录好友/公众号/已添加群聊；2=未添加到通讯录的群聊；3=群中的陌生人；5=企业微信好友；6=群聊中的陌生企业微信好友",
+        "alias": "微信号（微信里显示的微信号）",
+        "flag": "联系人标志位（需转二进制；常见：第7位星标，第12位置顶，第17位屏蔽朋友圈，第24位仅聊天）",
+        "head_img_md5": "头像md5（可通过 head_image.db 查询对应头像）",
+        "verify_flag": "认证标志（公众号/企业等；非0常表示公众号）",
+        "description": "描述字段（样本为空；用途待确认）",
+        "extra_buffer": "好友扩展信息（protobuf；包含性别/地区/签名等，本项目解析 gender/signature/country/province/city/source_scene）",
+        "chat_room_notify": "群消息通知相关设置（样本为0/1；疑似免打扰/通知开关，待确认）",
+        "is_in_chat_room": "群聊状态标记（样本为1/2；具体含义待确认）",
+        "chat_room_type": "群聊类型/标志（样本为0/2；具体含义待确认）",
+    },
+    "biz_info": {
+        "id": "序号（与 name2id.rowid 对应，可唯一确定一个公众号）",
+        "username": "公众号username（原始 wxid/gh_xxx）",
+        "type": "公众号类型：1=公众号，0=订阅号（资料来源：万字长文）",
+        "accept_type": "接收类型（accept_type；含义待确认，样本常为0）",
+        "child_type": "子类型（child_type；含义待确认，样本常为0）",
+        "version": "版本号（含义待确认，样本常为0）",
+        "external_info": "公众号详细信息（常见 JSON；含底部菜单/交互配置等）",
+        "brand_info": "公众号品牌/菜单信息（常见 JSON：urls 等）",
+        "brand_list": "品牌列表/关联列表（格式待确认，可能为 JSON）",
+        "brand_flag": "品牌/能力标志位（含义待确认）",
+        "belong": "归属字段（含义待确认）",
+        "home_url": "主页链接（含义待确认）",
+    },
+    "chat_room": {
+        "id": "序号（与 name2id.rowid 对应）",
+        "username": "群聊的username（xxx@chatroom）",
+        "owner": "群主username",
+        "ext_buffer": "群成员username与群昵称（protobuf：ChatRoomData.members 等）",
+    },
+    "chat_room_info_detail": {
+        "room_id_": "序号（与 name2id.rowid 对应）",
+        "username_": "群聊的username（xxx@chatroom）",
+        "announcement_": "群公告（文本）",
+        "announcement_editor_": "群公告编辑者username",
+        "announcement_publish_time_": "群公告发布时间（时间戳）",
+        "chat_room_status_": "群状态/标志位（bitmask；样本常见 0x80000 等，具体位含义待确认）",
+        "xml_announcement_": "群公告（XML，可解析更多信息：图片/文件等）",
+        "ext_buffer_": "扩展信息（protobuf-like；样本长度较小，具体结构待确认）",
+    },
+    "chatroom_member": {
+        "room_id": "群聊ID（对应 name2id.rowid）",
+        "member_id": "群成员ID（对应 name2id.rowid）",
+    },
+    "contact_label": {
+        "label_id_": "标签ID",
+        "label_name_": "标签名称",
+        "sort_order_": "排序",
+    },
+
+    # message_*.db / biz_message_*.db
+    "msg_*": {
+        "local_id": "自增id（本地）",
+        "server_id": "服务端id（每条消息唯一）",
+        "local_type": "消息类型（local_type；低32位=type，高32位=sub_type；可用 (local_type & 0xFFFFFFFF) 与 (local_type >> 32) 拆分）",
+        "sort_seq": "排序字段（单会话内消息排序；样本≈create_time*1000）",
+        "real_sender_id": "发送者id（可通过 Name2Id.rowid 映射到 username）",
+        "create_time": "秒级时间戳",
+        "server_seq": "服务端接收顺序id（server_seq）",
+        "message_content": "消息内容：local_type=1 时为文本，其它类型多为 Zstandard 压缩后的XML/二进制",
+        "compress_content": "压缩后的内容（多见 Zstandard）",
+        "packed_info_data": "protobuf扩展信息（图片文件名/语音转文字/合并转发文件夹名等）",
+    },
+    "name2id": {
+        "is_session": "是否会话名标记（1=会话/聊天对象；0=其它映射，如群成员ID）",
+    },
+
+    # session.db
+    "sessiontable": {
+        "type": "会话类型（样本为0；枚举待确认）",
+        "status": "会话状态（样本为0；枚举待确认）",
+        "unread_first_pat_msg_local_id": "未读拍一拍消息的本地ID（样本为0；含义待确认）",
+        "unread_first_pat_msg_sort_seq": "未读拍一拍消息的排序序号（样本为0；含义待确认）",
+    },
+    "session_last_message": {
+        "username": "会话username",
+        "sort_seq": "最后一条消息sort_seq",
+        "local_id": "最后一条消息local_id",
+        "create_time": "最后一条消息create_time（秒级时间戳）",
+        "local_type": "最后一条消息local_type",
+        "sender_username": "最后一条消息发送者username",
+        "preview": "最后一条消息预览文本（用于会话列表）",
+        "db_stem": "来源消息库分片名（如 message_0）",
+        "table_name": "来源消息表名（如 Msg_xxx）",
+        "built_at": "构建时间（Unix时间戳，秒）",
+    },
+
+    # 本项目 chat_search_index.db
+    "message_fts": {
+        "text": "可检索文本（索引内容）",
+        "render_type": "渲染类型（text/system/image/voice/video/emoji/...，本项目定义）",
+        "db_stem": "来源消息库分片名（如 message_0）",
+        "table_name": "来源消息表名（如 Msg_xxx）",
+        "sender_username": "发送者username（解码后）",
+    },
+
+    # emoticon.db
+    "knonstoreemoticontable": {
+        "type": "表情类型（样本均为3；枚举含义待确认）",
+        "caption": "表情说明/标题（caption）",
+        "product_id": "表情包/产品ID（product_id）",
+        "aes_key": "AES密钥（用于CDN下载解密）",
+        "auth_key": "鉴权key（CDN下载）",
+        "extern_md5": "外部资源md5（extern_md5）",
+    },
+    "kstoreemoticonpackagetable": {
+        "package_id_": "表情包ID（package_id）",
+        "package_name_": "表情包名称",
+        "payment_status_": "支付状态（payment_status）",
+        "download_status_": "下载状态（download_status）",
+        "install_time_": "安装时间（时间戳）",
+        "remove_time_": "移除时间（时间戳）",
+        "sort_order_": "排序",
+        "introduction_": "简介（introduction）",
+        "full_description_": "完整描述（full_description）",
+        "copyright_": "版权信息",
+        "author_": "作者信息",
+        "store_icon_url_": "商店图标URL",
+        "panel_url_": "面板/详情页URL",
+    },
+    "kstoreemoticonfilestable": {
+        "package_id_": "表情包ID（package_id）",
+        "md5_": "表情md5",
+        "type_": "表情类型（type）",
+        "sort_order_": "排序",
+        "emoticon_size_": "表情文件大小（字节）",
+        "emoticon_offset_": "表情文件偏移（用于包内定位）",
+        "thumb_size_": "缩略图大小（字节）",
+        "thumb_offset_": "缩略图偏移（用于包内定位）",
+    },
+
+    # favorite.db
+    "fav_db_item": {
+        "version": "版本号（收藏条目结构/内容版本；样本为87）",
+        "fromusr": "来源用户username（收藏来源）",
+        "realchatname": "来源群聊username（若收藏来源于群聊）",
+        "upload_error_code": "上传错误码",
+        "trans_res_error_code": "资源转换错误码（trans_res_error_code）",
+    },
+
+    # general.db
+    "ilink_voip": {
+        "wx_chatroom_": "群聊username（xxx@chatroom）",
+        "millsecond_": "毫秒时间戳/时间标记（字段名推断）",
+        "group_id_": "ILink group_id（字段名推断）",
+        "room_id_": "房间ID（字段名推断）",
+        "room_key_": "房间key（字段名推断）",
+        "route_id_": "路由ID（字段名推断）",
+        "voice_status_": "通话状态（字段名推断）",
+        "talker_create_user_": "发起者username（字段名推断）",
+        "not_friend_user_list_": "非好友成员列表（字段名推断）",
+        "members_": "成员列表（字段名推断）",
+        "is_ilink_": "是否ilink通话（字段名推断）",
+        "ever_quit_chatroom_": "是否曾退出群聊（字段名推断）",
+    },
+    "fmessagetable": {
+        "user_name_": "用户名（好友验证/陌生人会话用户名）",
+        "type_": "消息类型（好友验证/系统消息；样本为37）",
+        "timestamp_": "时间戳",
+        "encrypt_user_name_": "加密用户名",
+        "content_": "内容（验证消息/系统提示等）",
+        "is_sender_": "是否发送方（is_sender）",
+        "ticket_": "票据/验证ticket",
+        "scene_": "来源场景码（scene）",
+        "fmessage_detail_buf_": "详细信息（protobuf-like；包含验证文案/来源等信息）",
+    },
+    "handoff_remind_v0": {
+        "item_id": "条目ID（item_id）",
+        "head_icon": "图标（URL/资源标识）",
+        "title": "标题",
+        "desc_type": "描述类型（desc_type）",
+        "create_time": "创建时间（时间戳）",
+        "start_time": "开始时间（时间戳）",
+        "expire_time": "过期时间（时间戳）",
+        "biz_type": "业务类型（biz_type）",
+        "version": "版本号（version）",
+        "url": "跳转URL",
+        "extra_info": "扩展信息（extra_info）",
+    },
+    "transfertable": {
+        "transfer_id": "转账ID（transfer_id）",
+        "transcation_id": "交易ID（transaction_id，原字段拼写保留）",
+        "message_server_id": "关联消息server_id",
+        "second_message_server_id": "关联第二条转账消息server_id（可在 message_*.db::Msg_* 表的 server_id 对应到）",
+        "session_name": "会话username",
+        "pay_sub_type": "支付子类型（pay_sub_type）",
+        "pay_receiver": "收款方username",
+        "pay_payer": "付款方username",
+        "begin_transfer_time": "转账开始时间（时间戳）",
+        "last_modified_time": "最后修改时间（时间戳）",
+        "invalid_time": "失效时间（时间戳）",
+        "last_update_time": "最后更新时间（时间戳）",
+        "delay_confirm_flag": "延迟确认标志（delay_confirm_flag）",
+        "bubble_clicked_flag": "气泡点击标志（bubble_clicked_flag）",
+    },
+
+    # bizchat.db
+    "chat_group": {
+        "brand_user_name": "品牌/公众号username（brand_user_name）",
+        "bit_flag": "位标志/开关（bit_flag）",
+        "chat_name": "群组名称（chat_name）",
+        "user_list": "成员列表（常见为 ; 分隔的 user_id/username 列表；待确认）",
+        "reserved0": "保留字段（reserved0）",
+        "reserved1": "保留字段（reserved1）",
+        "reserved2": "保留字段（reserved2）",
+        "reserved3": "保留字段（reserved3）",
+    },
+    "user_info": {
+        "brand_user_name": "品牌/公众号username（brand_user_name）",
+        "bit_flag": "位标志/开关（bit_flag）",
+        "reserved0": "保留字段（reserved0）",
+        "reserved1": "保留字段（reserved1）",
+        "reserved2": "保留字段（reserved2）",
+        "reserved3": "保留字段（reserved3）",
+    },
+
+    # sns.db
+    "snsmessage_tmp3": {
+        "from_username": "来源用户username（评论/点赞发起者）",
+        "from_nickname": "来源用户昵称（评论/点赞发起者）",
+        "to_username": "目标用户username（被回复/被@的人）",
+        "to_nickname": "目标用户昵称（被回复/被@的人）",
+        "comment_flag": "评论标志位（样本为0；具体 bit 含义待确认）",
+    },
+    "snsadtimeline": {
+        "ad_content": "广告内容（ad_content，格式待确认）",
+        "remind_source_info": "提醒来源信息（remind_source_info，格式待确认）",
+        "remind_self_info": "提醒自身信息（remind_self_info，格式待确认）",
+        "extra_data": "扩展数据（extra_data，格式待确认）",
+    },
+
+    # unspportmsg.db
+    "unsupportmessage": {
+        "from_user": "发送者username",
+        "to_user": "接收者username",
+        "msg_source": "消息来源附加信息（msg_source）",
+    },
+
+    # contact.db
+    "openim_wording": {
+        "wording": "文案/提示语（wording）",
+        "pinyin": "拼音（pinyin）",
+    },
+
+    # message_*.db / biz_message_*.db (WCDB)
+    "wcdb_builtin_compression_record": {
+        "tablename": "表名（tableName）",
+        "columns": "被WCDB压缩的列列表（columns）",
+    },
+
+    # general.db
+    "revokemessage": {
+        "to_user_name": "会话username（撤回消息所在会话）",
+        "message_type": "消息类型（local_type）",
+        "at_user_list": "@用户列表（字段名推断）",
+    },
+    "wcfinderlivestatus": {
+        "finder_username": "视频号作者username（finder_username）",
+        "charge_flag": "是否付费/收费标志（charge_flag）",
+    },
+    "new_tips": {
+        "disable": "禁用标志（disable）",
+        "new_tips_content": "提示内容（new_tips_content）",
+    },
+    "redenvelopetable": {
+        "sender_user_name": "红包发送者username",
+        "hb_type": "红包类型（hb_type）",
+    },
+    "wacontact": {
+        "external_info": "外部信息（JSON；常见包含 BindWxaInfo/RegisterSource/WxaAppDynamic 等）",
+        "contact_pack_data": "联系人打包数据（protobuf-like；常含昵称/品牌名等）",
+        "wx_app_opt": "小程序/应用选项（wx_app_opt；位标志/开关；样本为0）",
+    },
+
+    # emoticon.db
+    "kstoreemoticoncaptionstable": {
+        "package_id_": "表情包ID（package_id）",
+        "md5_": "表情md5",
+        "language_": "语言（language）",
+        "caption_": "文案/标题（caption）",
+    },
+}
+
+
+KNOWN_TABLE_DESCRIPTIONS: dict[str, str] = {
+    # contact.db
+    "biz_info": "公众号信息表（公众号类型/菜单/品牌信息等）",
+    "chat_room": "群聊基础信息表（群主/成员列表等扩展在 ext_buffer）",
+    "chat_room_info_detail": "群聊详细信息表（群公告/群状态等）",
+    "chatroom_member": "群聊成员映射表（room_id ↔ member_id）",
+    "contact": "联系人核心表（好友/群/公众号等基础信息）",
+    "contact_label": "联系人标签表（标签ID与名称）",
+    "name2id": "用户名（wxid/群id@chatroom 等）到内部数值ID映射表",
+    "encrypt_name2id": "加密用户名到内部数值ID映射表",
+    "stranger": "陌生人/临时会话信息表",
+    "ticket_info": "票据/会话票据信息表（用途待进一步确认）",
+    "stranger_ticket_info": "陌生人票据信息表（用途待进一步确认）",
+    "oplog": "操作/同步日志表（增量同步相关）",
+    "openim_appid": "OpenIM 应用ID表（企业微信/互通相关）",
+    "openim_acct_type": "OpenIM 账号类型表",
+    "openim_wording": "OpenIM 文案/提示语表",
+
+    # session.db
+    "sessiontable": "会话列表表（会话展示/未读/置顶/隐藏等）",
+    "sessiondeletetable": "会话删除记录表",
+    "sessionunreadlisttable_1": "未读会话列表表（分表）",
+    "sessionunreadstattable_1": "未读统计表（分表）",
+    "sessionnocontactinfotable": "会话表（无联系人信息的会话）",
+    "session_last_message": "会话最后一条消息缓存/索引表（版本/实现差异）",
+
+    # message_*.db / biz_message_*.db
+    "timestamp": "时间戳/增量同步辅助表",
+    "deleteinfo": "删除消息记录表（删除/撤回相关）",
+    "deleteresinfo": "删除资源记录表（资源删除相关）",
+    "sendinfo": "发送相关信息表（发送状态/队列等）",
+    "historysysmsginfo": "历史系统消息表",
+    "historyaddmsginfo": "历史新增消息表",
+
+    # message_resource.db
+    "chatname2id": "会话名 → 会话ID 映射表（资源库维度）",
+    "sendername2id": "发送者名 → 发送者ID 映射表（资源库维度）",
+    "messageresourceinfo": "消息资源索引表（按消息/会话定位资源）",
+    "messageresourcedetail": "消息资源明细表（md5/路径/大小等）",
+    "ftsrange": "FTS 范围信息表（搜索/索引辅助）",
+    "ftsdeleteinfo": "FTS 删除记录表（索引维护）",
+
+    # media_0.db
+    "voiceinfo": "语音数据表（voice_data 等）",
+
+    # hardlink.db
+    "db_info": "WCDB Key-Value 元信息表（FTS构建状态/版本/扫描时间等）",
+    "dir2id": "目录 → ID 映射表（硬链接索引）",
+    "image_hardlink_info_v4": "图片硬链接索引表（v4）",
+    "file_hardlink_info_v4": "文件硬链接索引表（v4）",
+    "video_hardlink_info_v4": "视频硬链接索引表（v4）",
+    "file_checkpoint_v4": "文件索引检查点（增量）",
+    "video_checkpoint_v4": "视频索引检查点（增量）",
+    "talker_checkpoint_v4": "会话索引检查点（增量）",
+
+    # *_fts.db / message_fts.db
+    "table_info": "WCDB Key-Value 元信息表（索引范围/水位/时间戳等）",
+
+    # head_image.db
+    "head_image": "头像缓存表（头像 md5/二进制缩略图等）",
+
+    # favorite.db
+    "buff": "WCDB Key-Value 缓冲/配置表（收藏等模块的缓存）",
+    "fav_db_item": "收藏条目表",
+    "fav_tag_db_item": "收藏标签表",
+    "fav_bind_tag_db_item": "收藏条目与标签绑定表",
+
+    # emoticon.db
+    "kcustomemoticonordertable": "自定义表情排序表（md5 列表）",
+    "kexpressrecentuseeemoticontable": "最近使用表情记录（Key-Value）",
+    "knonstoreemoticontable": "非商店表情表（用户收藏/外部表情资源；含CDN下载信息）",
+    "kstoreemoticonpackagetable": "商店表情包信息表（package 元数据）",
+    "kstoreemoticoncaptionstable": "商店表情文案表（多语言 caption）",
+
+    # unspportmsg.db
+    "unsupportmessage": "不支持消息表（PC端无法直接展示的消息类型）",
+
+    # bizchat.db
+    "chat_group": "BizChat 群组表（企业微信/公众号群组信息）",
+    "user_info": "BizChat 用户表（企业微信/公众号用户信息）",
+    "my_user_info": "BizChat 当前账号映射表（brand_user_name ↔ user_id）",
+
+    # general.db
+    "forwardrecent": "最近转发会话记录表（username/时间）",
+    "transfertable": "转账记录表（转账ID/关联消息/状态等）",
+    "redenvelopetable": "红包记录表（关联消息/状态等）",
+    "ilink_voip": "iLink/群通话相关表（房间ID/成员/状态等）",
+    "fmessagetable": "好友验证/陌生人消息表（FMessage）",
+    "handoff_remind_v0": "跨设备接力/提醒项表（handoff_remind_v0）",
+    "biz_pay_status": "公众号文章付费状态表（url_id/is_paid 等）",
+    "biz_subscribe_status": "公众号订阅模板状态表（template_id/is_subscribe）",
+    "new_tips": "新提示/新功能提示表",
+    "reddot": "小红点提示表",
+    "reddot_record": "小红点记录表",
+    "wcfinderlivestatus": "视频号直播状态表",
+    "teenager_apply_access_agree_info": "青少年模式访问同意记录表",
+
+    # chat_search_index.db（本项目生成）
+    "meta": "索引元数据表（schema_version/构建时间等）",
+    "message_fts": "全文索引表（fts5，用于搜索）",
+}
+
+
 def simple_heuristic(field_name: str, table_name: str) -> str:
     """简易兜底启发式，避免完全空白"""
     f = field_name.lower()
@@ -243,10 +730,17 @@ def simple_heuristic(field_name: str, table_name: str) -> str:
 
 
 def compute_field_meaning(analyzer, table_name: str, field_name: str) -> str:
-    # 优先精确已知映射
+    lt = table_name.lower()
+    lf = field_name.lower()
+
+    # 1) 表级覆盖优先
+    tmap = KNOWN_FIELD_MEANINGS_BY_TABLE.get(lt)
+    if tmap and lf in tmap:
+        return tmap[lf]
+
+    # 2) 全局精确映射
     if field_name in KNOWN_FIELD_MEANINGS:
         return KNOWN_FIELD_MEANINGS[field_name]
-    lf = field_name.lower()
     if lf in KNOWN_FIELD_MEANINGS:
         return KNOWN_FIELD_MEANINGS[lf]
 
@@ -266,13 +760,44 @@ def compute_field_meaning(analyzer, table_name: str, field_name: str) -> str:
 
 
 def guess_table_desc(analyzer, table_name: str) -> str:
+    # 简易猜测（优先命中已知表名）
+    tl = table_name.lower()
+
+    # 已知表名（大小写不敏感）
+    if tl in KNOWN_TABLE_DESCRIPTIONS:
+        return KNOWN_TABLE_DESCRIPTIONS[tl]
+
+    # SQLite / WCDB 内置
+    if tl == "sqlite_sequence":
+        return "SQLite 自增序列表"
+    if tl.startswith("wcdb"):
+        return "WCDB 内置表（压缩/元数据等）"
+
+    # FTS 内部表（多为 *_data/_idx/_config/_content/_docsize/_aux）
+    if "fts" in tl:
+        if tl.endswith("_data"):
+            return "全文检索（FTS）内部数据表"
+        if tl.endswith("_idx"):
+            return "全文检索（FTS）内部索引表"
+        if tl.endswith("_config"):
+            return "全文检索（FTS）内部配置表"
+        if tl.endswith("_content"):
+            return "全文检索（FTS）内部内容表"
+        if tl.endswith("_docsize"):
+            return "全文检索（FTS）内部文档长度表"
+        if tl.endswith("_aux") or "_aux_" in tl:
+            return "全文检索（FTS）辅助表"
+        return "全文检索（FTS）表/索引表"
+
+    # 借助分析器的启发式（如果可用，且不是“未知功能表”）
     if analyzer is not None:
         try:
-            return analyzer.guess_table_function(table_name)
+            guessed = analyzer.guess_table_function(table_name)
+            if isinstance(guessed, str) and guessed.strip() and guessed.strip() != "未知功能表":
+                return guessed.strip()
         except Exception:
             pass
-    # 简易猜测
-    tl = table_name.lower()
+
     if tl == "msg" or tl.startswith("msg_"):
         return "某会话的消息表（聊天消息数据）"
     if "name2id" in tl:
@@ -281,10 +806,18 @@ def guess_table_desc(analyzer, table_name: str) -> str:
         return "联系人/群聊信息表"
     if "session" in tl:
         return "会话信息/未读统计表"
-    if "fts" in tl:
-        return "全文检索（FTS）内部表"
     if "resource" in tl:
         return "消息资源/附件索引表"
+    if "voice" in tl:
+        return "语音相关数据表"
+    if "image" in tl or "img" in tl:
+        return "图片相关数据表"
+    if "video" in tl:
+        return "视频相关数据表"
+    if "file" in tl:
+        return "文件相关数据表"
+    if "sns" in tl:
+        return "朋友圈相关数据表"
     return "未知功能表"
 
 
@@ -301,13 +834,38 @@ def fill_config(template: dict) -> dict:
     # 数据库描述补齐
     db_desc_map = build_db_descriptions()
 
+    def guess_db_desc(db_name: str) -> str:
+        # 1) 精确映射优先
+        if db_name in db_desc_map:
+            return db_desc_map[db_name]
+
+        # 2) 常见分片/变体：message_{n}.db
+        m = re.match(r"^message_(\d+)$", db_name)
+        if m:
+            return f"聊天记录数据库分片（message_{m.group(1)}.db）"
+
+        # 3) 公众号/企业微信消息库：biz_message_{n}.db（结构通常同 message_{n}.db）
+        m = re.match(r"^biz_message_(\d+)$", db_name)
+        if m:
+            return f"公众号消息记录数据库（biz_message_{m.group(1)}.db，结构通常同 message_{m.group(1)}.db）"
+
+        # 4) FTS/索引类库：*_fts.db
+        if db_name.endswith("_fts"):
+            return "全文索引数据库（FTS）"
+
+        # 5) 退化到 base 前缀
+        base = db_name.split("_", 1)[0]
+        if base in db_desc_map:
+            return db_desc_map[base]
+
+        return "未知用途数据库"
+
     databases = template.get("databases", {})
     for db_name, db in databases.items():
         if isinstance(db, dict):
             # 数据库级描述
             if not db.get("description"):
-                # 用已知映射或尝试推断
-                db["description"] = db_desc_map.get(db_name, db.get("description", "")) or "未知用途数据库"
+                db["description"] = guess_db_desc(db_name)
 
             # 遍历表
             tables = db.get("tables", {})
@@ -378,4 +936,4 @@ def main():
 
 
 if __name__ == "__main__":
-    main()
+    main()