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yunke/yunke-server/app/api/schemas.py
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"""Pydantic v2 response models for the yunke data-mirror API."""
from __future__ import annotations
import datetime as dt
from typing import Any, Generic, TypeVar
from pydantic import BaseModel, ConfigDict
T = TypeVar("T")
class CustomerOut(BaseModel):
"""Public Customer view — a subset of :class:`app.db.models.Customer`.
The structured columns power the list table; the verbatim upstream record
is exposed as ``raw_json`` so the frontend can render the full ~60-field
云客 客户详情 (all-fields drawer) without a second endpoint. The model's
``raw_json`` column is picked up automatically via ``from_attributes``.
"""
model_config = ConfigDict(from_attributes=True)
friend_id: str
channel: str
owner_account_id: str | None = None
friend_nickname: str | None = None
friend_remark: str | None = None
real_name: str | None = None
phone: str | None = None
region: str | None = None
sale_name: str | None = None
dept_name: str | None = None
head_image_url: str | None = None
last_chat_time: int | None = None
add_time: int | None = None
message_count: int | None = None
version: str | None = None
# Verbatim upstream friend record (~60 camelCase fields). Surfaced so the
# all-fields drawer can render every column the 云客 source page shows
# (friendWxAlias/addTime/createTime/fromType/addType/...) without the
# backend having to enumerate each one as a structured column.
raw_json: dict[str, Any] | None = None
class Page(BaseModel, Generic[T]):
"""Generic pagination envelope returned by list endpoints."""
items: list[T]
total: int
page: int
page_size: int
# ---------------------------------------------------------------------------
# Organization & people
# ---------------------------------------------------------------------------
class DepartmentOut(BaseModel):
"""云客 department node — frontend builds the tree from ``parent_id``/``path``."""
model_config = ConfigDict(from_attributes=True)
dept_id: str
parent_id: str | None = None
name: str | None = None
path: str | None = None
class StaffOut(BaseModel):
"""Staff member (employee) row.
The structured columns power the list table; the verbatim upstream record
is exposed as ``raw_json`` so the frontend can render the all-fields drawer
without a second endpoint. Picked up automatically via ``from_attributes``.
"""
model_config = ConfigDict(from_attributes=True)
user_id: str
name: str | None = None
phone: str | None = None
sale_phone: str | None = None
dept_id: str | None = None
is_on_job: bool | None = None
raw_json: dict[str, Any] | None = None
class AccountOut(BaseModel):
"""Unified staff messaging account (WeChat or WhatsApp).
The two source tables (:class:`WechatAccount`, :class:`WhatsappAccount`)
have different PK / column names; this view projects both onto a single
shape keyed by ``channel`` + ``account_id`` so the frontend can render one
list. Built explicitly in the route handler (not via ``from_attributes``)
because no single ORM row carries this schema. ``raw_json`` carries the
verbatim upstream record (wechatId/alias/sendNum/receiveNum/dbSize/...) so
the all-fields drawer can render every column the 云客 微信号管理 page shows.
"""
channel: str
account_id: str
nickname: str | None = None
user_id: str | None = None
user_name: str | None = None
phone: str | None = None
contacts_num: int | None = None
group_num: int | None = None
is_on_job: bool | None = None
raw_json: dict[str, Any] | None = None
# ---------------------------------------------------------------------------
# Communication entities
# ---------------------------------------------------------------------------
class MessageOut(BaseModel):
"""Chat timeline row — a single message (text/media/voice/...).
The structured columns power the bubble rendering; the verbatim upstream
record is exposed as ``raw_json`` so the frontend can render the all-fields
drawer (msgSvrId/keyId, file/fileTh/fileHd, md5/md5Th/md5Hd, paymsgid,
referMsg, imgPath, ...) without a second endpoint. Picked up automatically
via ``from_attributes``.
"""
model_config = ConfigDict(from_attributes=True)
msg_id: str
channel: str
owner_account_id: str | None = None
talker_id: str | None = None
room_id: str | None = None
is_send: bool | None = None
type: str | None = None
type_raw: int | None = None
text: str | None = None
file_url: str | None = None
# Image thumbnails / originals + voice duration / transcription so the
# timeline can render media without a second round-trip. All optional — the
# underlying columns (see Message model) are nullable.
file_th_url: str | None = None
file_hd_url: str | None = None
duration: int | None = None
transcription_text: str | None = None
md5: str | None = None
sender_name: str | None = None
sender_head_url: str | None = None
timestamp: int | None = None
raw_json: dict[str, Any] | None = None
class GroupOut(BaseModel):
"""Chat group summary row.
The structured columns power the list table; the verbatim upstream record
is exposed as ``raw_json`` so the frontend can render the all-fields drawer
(chatRoomId/chatRoomName, memberIds, headImageUrl, wechatId/wechatNickName,
userName/userPhone, messageCount/ownMessageCount, lossMembers/addMembers,
lastChatTime/updateTime, ...) without a second endpoint. Picked up
automatically via ``from_attributes``.
"""
model_config = ConfigDict(from_attributes=True)
room_id: str
channel: str
room_name: str | None = None
owner_account_id: str | None = None
owner_account_nickname: str | None = None
member_count: int | None = None
message_count: int | None = None
last_chat_time: int | None = None
raw_json: dict[str, Any] | None = None
class GroupMemberOut(BaseModel):
"""Member of a chat group (composite PK: channel + room_id + member_id)."""
model_config = ConfigDict(from_attributes=True)
channel: str
room_id: str
member_id: str
nickname: str | None = None
display_name: str | None = None
avatar: str | None = None
class PhoneCallOut(BaseModel):
"""Phone / voice call record. ``channel`` is the call-type.
The structured columns power the list table; the verbatim upstream record
is exposed as ``raw_json`` so the frontend can render the all-fields drawer
(id/startCallTime, callDuration/callSeconds, ringTime, callStatus,
incomingCall, userId/userIdName, departmentId, callNumber,
simPhone/simNumber/imei, recordFile, isUpload, downloadCount, aiAsr,
qcStatus, planCustomerName, version + voice-call extras ossFileName/
duration/startTime/endTime/remark) without a second endpoint. Picked up
automatically via ``from_attributes``.
"""
model_config = ConfigDict(from_attributes=True)
call_id: str
channel: str
start_call_time: int | None = None
call_duration: int | None = None
call_status: int | None = None
incoming_call: int | None = None
user_id: str | None = None
user_id_name: str | None = None
call_number: str | None = None
sim_phone: str | None = None
# OSS URL of the call recording — surfaced so the Calls view can offer a
# "播放录音" action when present.
record_file: str | None = None
# sha256 media_hash of the localized recording (NULL until downloaded).
record_media_hash: str | None = None
raw_json: dict[str, Any] | None = None
class SmsOut(BaseModel):
"""SMS log row.
The structured columns power the list table; the verbatim upstream record
is exposed as ``raw_json`` so the frontend can render the all-fields drawer
(id/customerPhone, sms/smsSub, sender, direction, userId,
senderDepartment, receiveName, createTime, simPhone/simNumber, source)
without a second endpoint. Picked up automatically via ``from_attributes``.
"""
model_config = ConfigDict(from_attributes=True)
sms_id: str
customer_phone: str | None = None
content_preview: str | None = None
# Full SMS body (the table stores it in ``content``); included so the SMS
# view can show the whole message in a detail dialog without a second call.
content: str | None = None
sender: str | None = None
direction: int | None = None
user_id: str | None = None
receive_name: str | None = None
create_time: int | None = None
sim_phone: str | None = None
raw_json: dict[str, Any] | None = None
# ---------------------------------------------------------------------------
# Sync monitor
# ---------------------------------------------------------------------------
class SyncStateOut(BaseModel):
"""Resumable sync cursor (one per entity/channel/scope)."""
model_config = ConfigDict(from_attributes=True)
state_id: int
entity_type: str
channel: str | None = None
scope_id: str | None = None
last_version: str | None = None
last_timestamp: int | None = None
last_synced_at: dt.datetime | None = None
class SyncRunOut(BaseModel):
"""Audit row for a single sync execution."""
model_config = ConfigDict(from_attributes=True)
run_id: int
entity_type: str
channel: str | None = None
scope_id: str | None = None
status: str
started_at: dt.datetime
finished_at: dt.datetime | None = None
records_fetched: int
records_upserted: int
error: str | None = None
class SyncStatusOut(BaseModel):
"""Aggregate monitor payload — current cursors plus recent runs."""
states: list[SyncStateOut]
recent_runs: list[SyncRunOut]
# ---------------------------------------------------------------------------
# Staff chat stats (WeChat staff 5-number summary + customer detail)
# ---------------------------------------------------------------------------
class StaffChatCustomerOut(BaseModel):
"""单个客户在日期窗内的私聊聚合行(本地 message 表派生)。"""
talker_id: str
friend_name: str # remark > nickname > real_name > talker_id
send_count: int # 员工发出(is_send True)
receive_count: int # 客户发出(is_send False)
interaction_days: int # 窗口内不同日期数
last_is_send: int | None # 1=员工最后发, 0=客户最后发, None=最后一条方向未知(不计入两率)
last_time: int | None = None # ms-epoch,最后一条时间
class StaffChatStatsSummary(BaseModel):
"""5 个汇总数字(从 customers 派生)。"""
chat_count: int # 沟通人数:窗口内 ≥1 条消息的去重客户数
effective_count: int # 有效沟通数:send≥1 且 receive≥1 的客户数
follow_count: int # 跟进客户数:interaction_days≥2 的客户数(近似口径)
last_reply_count: int # 员工最后回复数:last_is_send=1 的客户数
no_reply_count: int # 未回复客户数:last_is_send=0 的客户数
class StaffChatStatsOut(BaseModel):
owner_account_id: str
start: int # ms-epoch
end: int # ms-epoch
summary: StaffChatStatsSummary
customers: list[StaffChatCustomerOut]