chore(backend): list_order迁移补齐+Task14类型修正落链+moments每页日志+MsgTypeParam派生+3处文档修正+Dockerfile打包migrations+DEPLOY补迁移步骤

- 9b0d0c133035: wechat_account.list_order 进迁移链(此前仅模型声明,
  干净库 /api/accounts 即 500);sa.inspect 幂等守卫兼容已手动加列的
  smoke.db
- fe63c6789e94(验证中发现的预存缺口,超出原清单): Task 14 的 5 列模型
  类型修正(4×URL String(1024)→Text, db_size Integer→BigInteger)从未落
  链——纯 alembic 新库会复活 >1KB 链接截断;对齐后干净库 alembic check
  全绿。SQLite message 表 batch 重建会掉 FTS 触发器+rowid 脱节(docstring
  记明 ensure_fts+rebuild_fts 修复,smoke.db 已修复验证)
- scrape_via_page: _iter_moments_pages 每页一行进度日志(镜像 _fetch_pages)
- messages: MsgTypeParam=Literal[tuple(_MSG_TYPE_FILTER)] 派生,杜绝
  双处罗列漂移(openapi enum 验证一致,492 绿含 422 行为)
- 文档: ChatGroup 复合PK docstring/groups room_id 多行表述/测试名去
  单行假设;Dockerfile 补 alembic.ini+migrations;DEPLOY 增「数据库
  迁移」节(新库/旧库stamp路径/回填脚本显式DB_URL)+运维表升级行

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
浅念
2026-08-25 20:32:25 +08:00
parent e602822dfb
commit 35bfebd3e3
9 changed files with 226 additions and 24 deletions
+43 -4
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@@ -74,14 +74,53 @@ docker compose ps # 五服务全部 Up(healthy)
docker compose logs -f scheduler # 看调度器日志
```
### 4. 验证
### 4. 数据库迁移(alembic schema)
后端启动**不会**自动建表,schema 由 alembic 迁移链管理(镜像已打包
`alembic.ini` + `migrations/`,`DB_URL` 由 compose 注入)。
**新库首次部署**(空 MySQL 直接建全量表):
```bash
docker compose exec backend alembic upgrade head
```
**旧库升级**(2026-08-22 `migrate_sqlite_to_mysql.py` 搬迁产物,没有
alembic_version 表)——2026-08-25 实战踩通的完整路径,原样记录:
```bash
# 1) 前置校验:chat_group 无 NULL owner_account_id(复合 PK 迁移要求 NOT NULL,
# 非 0 则是必须人工核对的数据问题,不要带病升级)
docker compose exec mysql mysql -uyunke -p<密码> yunke \
-e "SELECT COUNT(*) FROM chat_group WHERE owner_account_id IS NULL"
# 2) stamp 到搬迁脚本对应的链上位置,再升级到 head
docker compose exec backend alembic stamp d8eee96cd017
docker compose exec backend alembic upgrade head
```
**每次拉新代码后**:
```bash
docker compose exec backend alembic upgrade head
```
涉及存量数据回填的更新另跑回填脚本(幂等,重跑 0 改动;脚本默认连
`./smoke.db`,服务器上须显式传 DB_URL——容器 env 已带,直接透传):
```bash
docker compose exec backend python -c "import asyncio,os; from scripts.backfill_chat_group_fields import main; asyncio.run(main(os.environ['DB_URL']))"
docker compose exec backend python -c "import asyncio,os; from scripts.backfill_msg_types import main; asyncio.run(main(os.environ['DB_URL']))"
```
### 5. 验证
```bash
curl http://localhost:8000/api/health # {"status":"ok"}
curl http://localhost:5173/ # 前端页面
```
### 5. 数据迁移(把本地 SQLite 数据搬到服务器 MySQL)
### 6. 数据迁移(把本地 SQLite 数据搬到服务器 MySQL)
**方式 A:重抓(推荐,数据最新)**
@@ -100,7 +139,7 @@ DB_URL="mysql+asyncmy://yunke:<密码>@mysql:3306/yunke" \
把本地 smoke.db 和 media/ 目录传到服务器,用 Python 脚本逐表导:
(如有需要我可以写迁移脚本,~100 行)
### 6. 媒体文件
### 7. 媒体文件
媒体存在 Docker volume `media_data` 里。本地已有 2.5GB 媒体的话:
@@ -122,7 +161,7 @@ docker run --rm -v yunke_media_data:/target -v $(pwd):/src alpine \
| 换 cookie | 改 `.env` 的 `YK_COOKIE` → `docker compose restart scheduler backend` |
| 备份 MySQL | `docker compose exec mysql mysqldump -uroot -p<密码> yunke > backup.sql` |
| 备份媒体 | `docker run --rm -v yunke_media_data:/data -v $(pwd):/out alpine tar czf /out/media.tgz -C /data .` |
| 升级版本 | `git pull && docker compose up -d --build` |
| 升级版本 | `git pull && docker compose up -d --build && docker compose exec backend alembic upgrade head`(回填见「数据库迁移」) |
## 已知注意事项
+6
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@@ -51,6 +51,12 @@ COPY app/ ./app/
# full_sync_all.sh 由 scheduler._page_subprocess 以 cwd=/app 调起,
# 2026-08-21 部署阻塞点#2:镜像里必须带上)。
COPY scripts/ ./scripts/
# alembic.ini + migrations/ — 容器内可跑 `alembic upgrade head`(DB_URL
# 环境变量已由 compose 注入;entrypoint 不自动迁移,由运维手动执行,
# 见 docs/DEPLOY.md「数据库迁移」)。alembic.ini 的 script_location 用
# %(here)s 相对 ini 自身,落在 /app/migrations 正好对上。
COPY alembic.ini ./
COPY migrations/ ./migrations/
# Install the package + dev dependencies (the dev extras include aiosqlite +
# pytest, which are tiny and convenient for in-container smoke checks). Pin
+3 -3
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@@ -44,9 +44,9 @@ async def list_groups(
``user_id`` maps to the ``ChatGroup.owner_user_id`` column (the staff
``userId`` who owns the chatroom account), mirroring the ``user_id``
filter on ``GET /api/customers``. ``room_id`` is an exact-match single-
row lookup (chat page group-name resolution). ``q`` is a substring match
on ``room_name``.
filter on ``GET /api/customers``. ``room_id`` is an exact-match lookup
(composite PK: the same room may return one row per owner; chat page
group-name resolution). ``q`` is a substring match on ``room_name``.
"""
conditions = []
if channel is not None:
+3 -13
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@@ -52,19 +52,9 @@ _MSG_TYPE_FILTER: dict[str, tuple[str, ...]] = {
"mini_program": ("mini_program",),
}
MsgTypeParam = Literal[
"text",
"image",
"voice",
"video",
"link",
"file",
"red_packet",
"transfer",
"voice_call",
"video_call",
"mini_program",
]
# 派生而非重复罗列:加一类只改上面的 dict,Literal 与 422 校验自动跟上
# (两处手写曾会漂移——漏一边即 500/422 不一致)
MsgTypeParam = Literal[tuple(_MSG_TYPE_FILTER)]
@router.get("/messages")
+5 -3
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@@ -262,9 +262,11 @@ class Customer(Base):
class ChatGroup(Base):
"""聊天群 — source: ``POST /wechatweb/chatroom/getChatroomList``.
PK ``room_id`` is the source ``chatRoomId`` (ends with ``@chatroom``).
The raw ``memberIds`` (semicolon-joined wxids) is kept verbatim in
``member_ids``; the parsed members are mirrored into :class:`GroupMember`.
PK is composite (``room_id``, ``channel``, ``owner_account_id``) — the
same room mirrors to one row per owning staff account; ``room_id`` is the
source ``chatRoomId`` (ends with ``@chatroom``). The raw ``memberIds``
(semicolon-joined wxids) is kept verbatim in ``member_ids``; the parsed
members are mirrored into :class:`GroupMember`.
"""
__tablename__ = "chat_group"
@@ -0,0 +1,48 @@
"""wechat_account 补 list_order 列
Revision ID: 9b0d0c133035
Revises: 099ac2097fa2
Create Date: 2026-08-25 20:16:46.324537
内容
----
补齐模型-迁移 drift:``wechat_account.list_order``(云客 wxUser/list 返回
顺序,2026-08-24 加进模型)一直没有对应迁移——干净库(create_all 或纯
alembic 链)上模型建表含该列、迁移链建表不含,``/api/accounts`` SELECT
即 500(实测两次,Task 11/12 验证时被迫对 smoke.db 手动 ALTER)。
幂等:smoke.db 已被手动加过该列(其 alembic_version 仍指旧 head),直接
add_column 会报 duplicate column——用 ``sa.inspect`` 先查列是否存在,
存在则跳过(SQLite/MySQL 通用,不需要裸 PRAGMA/information_schema)。
downgrade 对称:列不存在时跳过。
"""
from collections.abc import Sequence
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision: str = '9b0d0c133035'
down_revision: str | Sequence[str] | None = '099ac2097fa2'
branch_labels: str | Sequence[str] | None = None
depends_on: str | Sequence[str] | None = None
def _has_column(table: str, column: str) -> bool:
insp = sa.inspect(op.get_bind())
return column in {c["name"] for c in insp.get_columns(table)}
def upgrade() -> None:
"""Upgrade schema."""
if _has_column("wechat_account", "list_order"):
return # 已手动加过(smoke.db),幂等跳过
op.add_column("wechat_account", sa.Column("list_order", sa.Integer(), nullable=True))
def downgrade() -> None:
"""Downgrade schema."""
if not _has_column("wechat_account", "list_order"):
return
op.drop_column("wechat_account", "list_order")
@@ -0,0 +1,115 @@
"""Task 14 模型类型修正落进迁移链(URL Text + db_size BigInteger)
Revision ID: fe63c6789e94
Revises: 9b0d0c133035
Create Date: 2026-08-25 20:34:26.646844
内容
----
补齐模型-迁移 drift:2026-08-22 部署实战(commit 00ae13b)在**模型**上改了
5 列类型,但迁移链从未跟上——
* message.file_url / file_th_url / file_hd_url、media.original_url:
String(1024) → Text(分享链接可超 1KB,MySQL VARCHAR(1024) 会截断);
* wechat_account.db_size: Integer → BigInteger(字节数可超 32 位 INT,
实测 2.17GB)。
后果:纯 alembic 链建的干净库(deploy 文档的新库路径)拿到旧类型,静默
复活已修掉的截断问题;``alembic check`` 常红。本迁移把链对齐到模型。
幂等性:ALTER MODIFY 到相同类型是合法 SQL——MySQL 上 Docker 库的表由
migrate_sqlite_to_mysql(按当时模型 create_all,已是 Text/BIGINT)创建,
重放本迁移为无害 no-op,无需条件守卫。SQLite 走 batch_alter_table 表重建
(仅改声明类型,TEXT/INTEGER 亲和性不变,数据原样拷贝)。
⚠️ SQLite 侧副作用:message 表重建会丢其上的 FTS5 同步触发器、且
external-content 索引(message_fts 按 rowid 映射)会与新表 rowid 脱节。
MySQL(prod)无 FTS 不受影响;SQLite dev 库跑完本迁移后需执行
``ensure_fts``(重建触发器)+ ``rebuild_fts``(按新 rowid 重灌索引,
app/db/fts.py 现成函数)修复搜索。
"""
from collections.abc import Sequence
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision: str = 'fe63c6789e94'
down_revision: str | Sequence[str] | None = '9b0d0c133035'
branch_labels: str | Sequence[str] | None = None
depends_on: str | Sequence[str] | None = None
def upgrade() -> None:
"""Upgrade schema."""
with op.batch_alter_table("message") as batch_op:
batch_op.alter_column(
"file_url",
existing_type=sa.String(1024),
type_=sa.Text(),
existing_nullable=True,
)
batch_op.alter_column(
"file_th_url",
existing_type=sa.String(1024),
type_=sa.Text(),
existing_nullable=True,
)
batch_op.alter_column(
"file_hd_url",
existing_type=sa.String(1024),
type_=sa.Text(),
existing_nullable=True,
)
with op.batch_alter_table("media") as batch_op:
batch_op.alter_column(
"original_url",
existing_type=sa.String(1024),
type_=sa.Text(),
existing_nullable=True,
)
with op.batch_alter_table("wechat_account") as batch_op:
batch_op.alter_column(
"db_size",
existing_type=sa.Integer(),
type_=sa.BigInteger(),
existing_nullable=True,
)
def downgrade() -> None:
"""Downgrade schema."""
with op.batch_alter_table("wechat_account") as batch_op:
batch_op.alter_column(
"db_size",
existing_type=sa.BigInteger(),
type_=sa.Integer(),
existing_nullable=True,
)
with op.batch_alter_table("media") as batch_op:
batch_op.alter_column(
"original_url",
existing_type=sa.Text(),
type_=sa.String(1024),
existing_nullable=True,
)
with op.batch_alter_table("message") as batch_op:
batch_op.alter_column(
"file_hd_url",
existing_type=sa.Text(),
type_=sa.String(1024),
existing_nullable=True,
)
batch_op.alter_column(
"file_th_url",
existing_type=sa.Text(),
type_=sa.String(1024),
existing_nullable=True,
)
batch_op.alter_column(
"file_url",
existing_type=sa.Text(),
type_=sa.String(1024),
existing_nullable=True,
)
+2
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@@ -1561,6 +1561,8 @@ async def _iter_moments_pages(
rows = data.get("data") if isinstance(data, dict) else None
if not isinstance(rows, list):
break
# 每页一行进度(镜像 _fetch_pages 的 "<endpoint> page N: X rows")
logger.info(f" friendster page {page_num}: {len(rows)} rows")
for row in rows:
if not isinstance(row, dict):
continue
+1 -1
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@@ -241,7 +241,7 @@ async def test_members_empty_room_is_200(make_client):
# room_id 精确过滤(2026-08-20:群聊页群名单行直查,替代超上限的大页拉取)
# ---------------------------------------------------------------------------
async def test_room_id_filter_returns_single_group(make_client):
async def test_room_id_filter_returns_matching_groups(make_client):
async def seed(session):
session.add_all([
ChatGroup(room_id="r1@chatroom", channel="wechat", room_name="群一", owner_account_id="o1"),