#!/bin/bash
# 任务名称：微信用户反馈每分钟同步到收集表格
# 执行时间：* * * * * 每分钟执行
# 归属 Agent：小葵 xiaokui

set +e

# 环境配置
export PATH=/root/.nvm/versions/node/v24.14.0/bin:$PATH
LOG_FILE="/var/log/sync_wechat_feedback.log"
WORKSPACE="/root/.openclaw/workspace-xiaokui"
LAST_SYNC_ID_FILE="$WORKSPACE/data/last_wechat_sync_id"
TMP_DATA="$WORKSPACE/tmp/wechat_feedback.json"

# 数据库配置
DB_HOST="bj-cdb-8frbdwju.sql.tencentcdb.com"
DB_PORT="25413"
DB_USER="read_only"
DB_PASS="fdsfiidier^\$*hjfdijjd232"
DB_NAME="vala_test"

# 目标表格配置
TARGET_SPREADSHEET_TOKEN="AOxbsifk3hybRZteGowcMxNnnqc"
TARGET_SHEET_ID="f17380"

log() {
    echo "[$(date +'%Y-%m-%d %H:%M:%S')] $1" >> "$LOG_FILE"
}

# 初始化上次同步ID
if [ ! -f "$LAST_SYNC_ID_FILE" ]; then
    echo "0" > "$LAST_SYNC_ID_FILE"
fi
LAST_SYNC_ID=$(cat "$LAST_SYNC_ID_FILE")

log "=== 微信反馈同步任务开始 ==="
log "上次同步最大ID：$LAST_SYNC_ID"

# 1. 读取微信新增反馈数据
log "读取微信新增反馈数据..."
mysql -h "$DB_HOST" -P "$DB_PORT" -u "$DB_USER" -p"$DB_PASS" "$DB_NAME" -N -e "
SELECT id, msg_time, sender_name, msg_type, content 
FROM wechat_group_message 
WHERE id > $LAST_SYNC_ID 
ORDER BY msg_time DESC;" > /tmp/wechat_raw.txt

if [ ! -s /tmp/wechat_raw.txt ]; then
    log "无新增微信反馈数据，退出"
    exit 0
fi

# 2. 转换为表格格式
log "转换数据格式..."
NEW_DATA=$(awk '
BEGIN {
    print "["
    first = 1
}
{
    if (first == 0) print ","
    first = 0
    
    id = $1
    time = $2 " " $3
    sender = $4
    type = $5
    content = substr($0, index($0,$6))
    
    # 处理字段
    text = ""
    image = ""
    video = ""
    if (type == "text") {
        text = content
    } else if (type == "image") {
        image = content
    } else if (type == "video") {
        video = content
    } else {
        text = "[" type "] " content
    }
    
    gsub(/"/, "\\\"", text)
    gsub(/"/, "\\\"", image)
    gsub(/"/, "\\\"", video)
    
    printf "[\"\", \"\", \"\", \"\", \"%s\", \"微信\", \"%s\", \"\", \"\", \"%s\", \"%s\", \"%s\", \"\", \"待确认\", \"\"]", time, sender, text, image, video
}
END {
    print "\n]"
}' /tmp/wechat_raw.txt)

NEW_COUNT=$(echo "$NEW_DATA" | jq length)
NEW_MAX_ID=$(tail -1 /tmp/wechat_raw.txt | awk '{print $1}')
log "发现 $NEW_COUNT 条新增微信反馈数据，最大ID：$NEW_MAX_ID"

# 3. 读取目标表格现有数据（飞书+微信）
log "读取目标表格现有数据..."
TARGET_RAW=$(LARKSUITE_CLI_CONFIG_DIR=/root/.openclaw/credentials/xiaoyan lark-cli sheets +read --spreadsheet-token "$TARGET_SPREADSHEET_TOKEN" --range "$TARGET_SHEET_ID!A2:O" --as bot)
TARGET_DATA=$(echo "$TARGET_RAW" | jq '.data.valueRange.values | map(select(.[0] != null and .[0] != ""))')

if [ "$TARGET_DATA" == "null" ] || [ -z "$TARGET_DATA" ]; then
    TARGET_DATA="[]"
fi

# 4. 合并数据并按时间倒序排列
echo "$NEW_DATA" > /tmp/new.json
echo "$TARGET_DATA" > /tmp/existing.json

ALL_DATA=$(jq -s 'add | sort_by(.[4]) | reverse' /tmp/new.json /tmp/existing.json)

# 5. 重新生成序号
ALL_DATA=$(echo "$ALL_DATA" | jq 'to_entries | map(.value[0] = (.key + 1 | tostring) | .value)')

echo "$ALL_DATA" > "$TMP_DATA"
ROW_COUNT=$(echo "$ALL_DATA" | jq length)
END_ROW=$((ROW_COUNT + 1))

# 6. 清空目标表格并写入合并后的数据
log "写入合并后的数据，共 $ROW_COUNT 条..."
# 先清空原有数据
EMPTY_DATA=$(printf '[]%.0s' {1..200} | jq -s '.')
LARKSUITE_CLI_CONFIG_DIR=/root/.openclaw/credentials/xiaoyan lark-cli sheets +write \
    --spreadsheet-token "$TARGET_SPREADSHEET_TOKEN" \
    --range "$TARGET_SHEET_ID!A2:O201" \
    --values "$EMPTY_DATA" \
    --as bot >/dev/null 2>&1

# 写入新数据
LARKSUITE_CLI_CONFIG_DIR=/root/.openclaw/credentials/xiaoyan lark-cli sheets +write \
    --spreadsheet-token "$TARGET_SPREADSHEET_TOKEN" \
    --range "$TARGET_SHEET_ID!A2:O$END_ROW" \
    --values "$(cat $TMP_DATA)" \
    --as bot

# 7. 更新上次同步ID
echo "$NEW_MAX_ID" > "$LAST_SYNC_ID_FILE"

log "✅ 同步完成：新增 $NEW_COUNT 条微信反馈，当前总记录数 $ROW_COUNT 条，已按时间倒序排列"

# 清理临时文件
rm -f /tmp/wechat_raw.txt /tmp/new.json /tmp/existing.json "$TMP_DATA"

log "=== 同步任务完成 ==="
exit 0