This commit is contained in:
Yukino_fox
2026-04-11 13:36:55 +08:00
9 changed files with 548 additions and 38 deletions
+29 -1
View File
@@ -5,7 +5,8 @@ use std::sync::Arc;
use tauri::{AppHandle, Emitter, State};
use crate::services::{
query_execution_batches, rollback_execution_batch, AutoScoreAction, AutoScoreExecutionBatch,
apply_offline_backfill, query_execution_batches, rollback_execution_batch, AutoScoreAction,
AutoScoreBackfillItem, AutoScoreBackfillResult, AutoScoreExecutionBatch,
AutoScoreExecutionConfig, AutoScoreFilterConfig, AutoScoreRule, AutoScoreService,
AutoScoreTrigger, PermissionLevel, SettingsKey, SettingsValue,
};
@@ -67,6 +68,11 @@ pub struct ToggleRuleParams {
pub enabled: bool,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ApplyBackfillParams {
pub items: Vec<AutoScoreBackfillItem>,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AutoScoreStatus {
pub enabled: bool,
@@ -396,3 +402,25 @@ pub async fn auto_score_rollback_batch(
let batch = rollback_execution_batch(state.inner(), &params.batch_id).await?;
Ok(IpcResponse::success(batch))
}
#[tauri::command]
pub async fn auto_score_apply_backfill(
params: ApplyBackfillParams,
sender_id: Option<u32>,
app_handle: AppHandle,
state: State<'_, Arc<RwLock<AppState>>>,
) -> Result<IpcResponse<AutoScoreBackfillResult>, String> {
{
let state_guard = state.read();
let mut permissions = state_guard.permissions.write();
if !check_admin_permission(&mut permissions, sender_id) {
return Ok(IpcResponse::error("Permission denied: admin required"));
}
}
let result = apply_offline_backfill(state.inner(), &params.items).await?;
let rules = state.read().auto_score.read().get_rules().to_vec();
emit_auto_score_status_changed(&app_handle, &rules);
emit_rules_changed(&app_handle, state.inner());
Ok(IpcResponse::success(result))
}
+1
View File
@@ -98,6 +98,7 @@ pub fn run() {
auto_score_sort_rules,
auto_score_query_batches,
auto_score_rollback_batch,
auto_score_apply_backfill,
board_get_configs,
board_save_configs,
board_query_sql,
+252 -32
View File
@@ -18,6 +18,7 @@ const DEFAULT_INTERVAL_MINUTES: i64 = 30;
const AUTO_SCORE_TICK_SECONDS: u64 = 15;
const AUTO_SCORE_SQL_LIMIT: u64 = 5000;
const AUTO_SCORE_REASON_PREFIX: &str = "自动化";
const AUTO_SCORE_BACKFILL_MAX_RUNS_PER_RULE: i64 = 500;
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)]
pub struct AutoScoreTrigger {
@@ -37,6 +38,7 @@ pub struct AutoScoreExecutionConfig {
pub cooldown_minutes: Option<i64>,
pub max_runs_per_day: Option<i64>,
pub max_score_delta_per_day: Option<i64>,
pub start_at: Option<String>,
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq, Default)]
@@ -67,6 +69,23 @@ pub struct AutoScoreExecutionBatch {
pub rollback_at: Option<String>,
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)]
#[serde(rename_all = "camelCase")]
pub struct AutoScoreBackfillItem {
pub rule_id: i32,
pub runs: i64,
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq, Default)]
#[serde(rename_all = "camelCase")]
pub struct AutoScoreBackfillResult {
pub applied_rules: usize,
pub applied_runs: i64,
pub affected_students: usize,
pub created_events: usize,
pub score_delta_total: i64,
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)]
#[serde(rename_all = "lowercase")]
enum IntervalUnit {
@@ -107,6 +126,12 @@ enum PlannedAction {
SettleScore,
}
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
enum ExecutionMode {
Normal,
Backfill,
}
#[derive(Debug, Default, Clone)]
struct StudentRefs {
ids: HashSet<i32>,
@@ -347,7 +372,7 @@ impl AutoScoreService {
continue;
}
match execute_rule(&conn, rule, &execution_batches).await {
match execute_rule(&conn, rule, &execution_batches, ExecutionMode::Normal).await {
Ok(stats) => {
if stats.affected_students == 0 {
Self::log_rule_skipped(&state, rule, "no matched students");
@@ -494,6 +519,7 @@ fn normalize_execution_config(
config.cooldown_minutes = config.cooldown_minutes.filter(|value| *value > 0);
config.max_runs_per_day = config.max_runs_per_day.filter(|value| *value > 0);
config.max_score_delta_per_day = config.max_score_delta_per_day.filter(|value| *value > 0);
config.start_at = normalize_datetime_rfc3339(config.start_at);
Ok(config)
}
@@ -1000,13 +1026,17 @@ fn normalize_integer_string(value: Option<&str>) -> Option<String> {
Some(parsed.to_string())
}
fn normalize_last_executed(value: Option<String>) -> Option<String> {
fn normalize_datetime_rfc3339(value: Option<String>) -> Option<String> {
value
.as_deref()
.and_then(|raw_value| DateTime::parse_from_rfc3339(raw_value).ok())
.map(|parsed| parsed.with_timezone(&Utc).to_rfc3339())
}
fn normalize_last_executed(value: Option<String>) -> Option<String> {
normalize_datetime_rfc3339(value)
}
fn parse_positive_i64(value: &JsonValue) -> Option<i64> {
match value {
JsonValue::Number(number) => number.as_i64().filter(|parsed| *parsed > 0),
@@ -1159,12 +1189,26 @@ fn get_interval_delay_ms(rule: &AutoScoreRule, value: Option<&str>) -> Option<i6
unit: IntervalUnit::Minute,
});
let Some(base_time) = rule
let last_executed = rule
.last_executed
.as_ref()
.and_then(|raw| DateTime::parse_from_rfc3339(raw).ok())
.map(|parsed| parsed.with_timezone(&Utc))
else {
.map(|parsed| parsed.with_timezone(&Utc));
let start_at = rule
.execution
.start_at
.as_ref()
.and_then(|raw| DateTime::parse_from_rfc3339(raw).ok())
.map(|parsed| parsed.with_timezone(&Utc));
let base_time = match (last_executed, start_at) {
(Some(last), Some(start)) => Some(if last > start { last } else { start }),
(Some(last), None) => Some(last),
(None, Some(start)) => Some(start),
(None, None) => None,
};
let Some(base_time) = base_time else {
return Some(0);
};
@@ -1438,10 +1482,184 @@ pub async fn rollback_execution_batch(
Ok(batch)
}
fn interval_base_time(rule: &AutoScoreRule) -> Option<DateTime<Utc>> {
let last_executed = rule
.last_executed
.as_ref()
.and_then(|raw| DateTime::parse_from_rfc3339(raw).ok())
.map(|parsed| parsed.with_timezone(&Utc));
let start_at = rule
.execution
.start_at
.as_ref()
.and_then(|raw| DateTime::parse_from_rfc3339(raw).ok())
.map(|parsed| parsed.with_timezone(&Utc));
match (last_executed, start_at) {
(Some(last), Some(start)) => Some(if last > start { last } else { start }),
(Some(last), None) => Some(last),
(None, Some(start)) => Some(start),
(None, None) => None,
}
}
fn interval_value_for_backfill(rule: &AutoScoreRule) -> Option<IntervalTriggerValue> {
let value = rule
.triggers
.iter()
.find(|trigger| trigger.event == "interval_time_passed")
.and_then(|trigger| trigger.value.as_deref());
parse_interval_trigger_value(value)
}
fn calculate_rule_backfill_runs(rule: &AutoScoreRule, now: DateTime<Utc>) -> i64 {
if !rule.enabled {
return 0;
}
let Some(base_time) = interval_base_time(rule) else {
return 0;
};
if base_time >= now {
return 0;
}
let Some(interval) = interval_value_for_backfill(rule) else {
return 0;
};
let Some(mut next) = add_interval_to_time(base_time, &interval) else {
return 0;
};
let mut runs = 0_i64;
while next <= now {
runs += 1;
if runs >= AUTO_SCORE_BACKFILL_MAX_RUNS_PER_RULE {
break;
}
let Some(next_value) = add_interval_to_time(next, &interval) else {
break;
};
next = next_value;
}
runs
}
pub async fn apply_offline_backfill(
state: &SafeAppState,
items: &[AutoScoreBackfillItem],
) -> Result<AutoScoreBackfillResult, String> {
if items.is_empty() {
return Ok(AutoScoreBackfillResult::default());
}
let mut requested_runs_by_rule: HashMap<i32, i64> = HashMap::new();
for item in items {
if item.runs <= 0 {
continue;
}
let capped = item.runs.min(AUTO_SCORE_BACKFILL_MAX_RUNS_PER_RULE);
if capped <= 0 {
continue;
}
requested_runs_by_rule
.entry(item.rule_id)
.and_modify(|value| *value = (*value + capped).min(AUTO_SCORE_BACKFILL_MAX_RUNS_PER_RULE))
.or_insert(capped);
}
if requested_runs_by_rule.is_empty() {
return Ok(AutoScoreBackfillResult::default());
}
let conn = {
let state_guard = state.read();
let db_conn = state_guard.db.read().clone();
db_conn
}
.ok_or_else(|| "Database not connected".to_string())?;
let mut execution_batches = load_batches_from_settings(state).await?;
let rules_snapshot = {
let state_guard = state.read();
let auto_score = state_guard.auto_score.read();
auto_score.get_rules().to_vec()
};
let mut next_rules = rules_snapshot.clone();
let mut result = AutoScoreBackfillResult::default();
let now = Utc::now();
let mut changed = false;
for rule in next_rules.iter_mut().filter(|rule| rule.enabled) {
let Some(requested_runs) = requested_runs_by_rule.get(&rule.id).copied() else {
continue;
};
if requested_runs <= 0 {
continue;
}
let available_runs = calculate_rule_backfill_runs(rule, now);
let replay_runs = requested_runs.min(available_runs);
if replay_runs <= 0 {
continue;
}
result.applied_rules += 1;
changed = true;
for _ in 0..replay_runs {
let stats = execute_rule(&conn, rule, &execution_batches, ExecutionMode::Backfill).await?;
result.applied_runs += 1;
result.affected_students += stats.affected_students;
result.created_events += stats.created_events;
result.score_delta_total += stats.score_delta_total;
if stats.affected_students == 0 {
continue;
}
let batch = AutoScoreExecutionBatch {
id: Uuid::new_v4().to_string(),
rule_id: rule.id,
rule_name: rule.name.clone(),
run_at: now_iso(),
affected_students: stats.affected_students,
affected_student_names: stats.affected_student_names.clone(),
created_event_ids: stats.created_event_ids.clone(),
added_student_tag_ids: stats.added_student_tag_ids.clone(),
score_delta_total: stats.score_delta_total,
settled: stats.settled,
rolled_back: false,
rollback_at: None,
};
execution_batches.push(batch);
}
rule.last_executed = Some(Utc::now().to_rfc3339());
}
if !changed {
return Ok(result);
}
persist_rules_to_settings(state, &next_rules).await?;
save_batches_to_settings(state, &execution_batches).await?;
{
let state_guard = state.read();
let mut auto_score = state_guard.auto_score.write();
auto_score.replace_rules(next_rules);
}
Ok(result)
}
async fn execute_rule(
conn: &DatabaseConnection,
rule: &AutoScoreRule,
execution_batches: &[AutoScoreExecutionBatch],
mode: ExecutionMode,
) -> Result<RuleExecutionStats, String> {
let mut target_students = resolve_target_students(conn, rule).await?;
@@ -1460,15 +1678,15 @@ async fn execute_rule(
return Ok(RuleExecutionStats::default());
}
if let Some(max_runs) = rule.execution.max_runs_per_day {
let today_runs = execution_batches
.iter()
.filter(|batch| {
batch.rule_id == rule.id && !batch.rolled_back && is_same_utc_day(&batch.run_at)
})
.count() as i64;
if today_runs >= max_runs {
return Ok(RuleExecutionStats::default());
if mode == ExecutionMode::Normal {
if let Some(max_runs) = rule.execution.max_runs_per_day {
let today_runs = execution_batches
.iter()
.filter(|batch| batch.rule_id == rule.id && !batch.rolled_back && is_same_utc_day(&batch.run_at))
.count() as i64;
if today_runs >= max_runs {
return Ok(RuleExecutionStats::default());
}
}
}
@@ -1482,9 +1700,7 @@ async fn execute_rule(
let mut daily_score_delta_used: i64 = execution_batches
.iter()
.filter(|batch| {
batch.rule_id == rule.id && !batch.rolled_back && is_same_utc_day(&batch.run_at)
})
.filter(|batch| batch.rule_id == rule.id && !batch.rolled_back && is_same_utc_day(&batch.run_at))
.map(|batch| batch.score_delta_total.abs())
.sum();
@@ -1506,27 +1722,31 @@ async fn execute_rule(
}
for mut student in target_students {
if !is_student_pass_cooldown(
conn,
execution_batches,
rule,
student.id,
student.name.as_str(),
)
.await?
{
continue;
if mode == ExecutionMode::Normal {
if !is_student_pass_cooldown(
conn,
execution_batches,
rule,
student.id,
student.name.as_str(),
)
.await?
{
continue;
}
}
let mut touched = false;
for action in &planned_actions {
match action {
PlannedAction::AddScore(delta) => {
if let Some(max_delta) = rule.execution.max_score_delta_per_day {
let next = daily_score_delta_used + (*delta as i64).abs();
if next > max_delta {
continue;
if mode == ExecutionMode::Normal {
if let Some(max_delta) = rule.execution.max_score_delta_per_day {
let next = daily_score_delta_used + (*delta as i64).abs();
if next > max_delta {
continue;
}
daily_score_delta_used = next;
}
daily_score_delta_used = next;
}
let now = now_iso();
let val_prev = student.score;
+2 -1
View File
@@ -9,7 +9,8 @@ pub mod theme;
pub use auth::AuthService;
pub use auto_score::{
query_execution_batches, rollback_execution_batch, AutoScoreAction, AutoScoreExecutionBatch,
apply_offline_backfill, query_execution_batches, rollback_execution_batch, AutoScoreAction,
AutoScoreBackfillItem, AutoScoreBackfillResult, AutoScoreExecutionBatch,
AutoScoreExecutionConfig, AutoScoreFilterConfig, AutoScoreRule, AutoScoreService,
AutoScoreTrigger,
};
@@ -28,6 +28,7 @@ export interface AutoScoreExecutionConfig {
cooldownMinutes?: number | null
maxRunsPerDay?: number | null
maxScoreDeltaPerDay?: number | null
startAt?: string | null
}
export interface AutoScoreExecutionBatch {
+219 -2
View File
@@ -3,6 +3,7 @@ import {
Alert,
Button,
Card,
DatePicker,
Form,
Input,
InputNumber,
@@ -19,6 +20,7 @@ import {
} from "antd"
import { type ImmutableTree } from "@react-awesome-query-builder/antd"
import type { ColumnsType } from "antd/es/table"
import dayjs from "dayjs"
import { useTranslation } from "react-i18next"
import { fetchAllTags } from "./TagEditorDialog"
import { ActionEditor } from "./AutoScore/ActionEditor"
@@ -63,6 +65,81 @@ interface AutoScoreManagerProps {
}
const getRuleFileRelativePath = (ruleId: number) => `auto-score/rule-${ruleId}.json`
const AUTO_SCORE_BACKFILL_MAX_RUNS_PER_RULE = 500
interface BackfillPlanItem {
ruleId: number
runs: number
ruleName: string
}
const buildOfflineBackfillPlan = (rules: AutoScoreRule[]): {
items: BackfillPlanItem[]
totalRuns: number
from: dayjs.Dayjs | null
to: dayjs.Dayjs
truncatedRules: number
} => {
const now = dayjs()
const items: BackfillPlanItem[] = []
let from: dayjs.Dayjs | null = null
let truncatedRules = 0
for (const rule of rules) {
if (!rule.enabled) continue
const intervalTrigger = rule.triggers.find((trigger) => trigger.event === "interval_time_passed")
if (!intervalTrigger) continue
const intervalValue = parseIntervalTriggerValue(intervalTrigger.value)
if (!intervalValue) continue
const intervalMinutes = intervalValue.days * 24 * 60 + intervalValue.hours * 60 + intervalValue.minutes
if (intervalMinutes <= 0) continue
const startAt = rule.execution?.startAt ? dayjs(rule.execution.startAt) : null
const lastExecuted = rule.lastExecuted ? dayjs(rule.lastExecuted) : null
const validStartAt = startAt && startAt.isValid() ? startAt : null
const validLastExecuted = lastExecuted && lastExecuted.isValid() ? lastExecuted : null
const baseTime =
validStartAt && validLastExecuted
? validStartAt.isAfter(validLastExecuted)
? validStartAt
: validLastExecuted
: validStartAt || validLastExecuted
if (!baseTime) continue
if (!now.isAfter(baseTime)) continue
const elapsedMinutes = now.diff(baseTime, "minute")
if (elapsedMinutes < intervalMinutes) continue
const rawRuns = Math.floor(elapsedMinutes / intervalMinutes)
if (rawRuns <= 0) continue
const runs = Math.min(rawRuns, AUTO_SCORE_BACKFILL_MAX_RUNS_PER_RULE)
if (runs < rawRuns) {
truncatedRules += 1
}
items.push({
ruleId: rule.id,
ruleName: rule.name,
runs,
})
if (!from || baseTime.isBefore(from)) {
from = baseTime
}
}
return {
items,
totalRuns: items.reduce((sum, item) => sum + item.runs, 0),
from,
to: now,
truncatedRules,
}
}
function AutoScoreManager({ canEdit }: AutoScoreManagerProps): React.JSX.Element {
const { t, i18n } = useTranslation()
@@ -98,6 +175,8 @@ function AutoScoreManager({ canEdit }: AutoScoreManagerProps): React.JSX.Element
const [pageSize, setPageSize] = useState(10)
const [batchCurrentPage, setBatchCurrentPage] = useState(1)
const [batchPageSize, setBatchPageSize] = useState(10)
const [executionStartAt, setExecutionStartAt] = useState<string | null>(null)
const [backfillPrompted, setBackfillPrompted] = useState(false)
useEffect(() => {
const maxPage = Math.max(1, Math.ceil(rules.length / pageSize))
@@ -117,11 +196,58 @@ function AutoScoreManager({ canEdit }: AutoScoreManagerProps): React.JSX.Element
setTriggerTree((prevTree) => normalizeTriggerTree(prevTree, triggerConfig))
}, [triggerConfig])
const intervalElapsedHint = useMemo(() => {
if (!executionStartAt) {
return t("autoScore.startAtHint")
}
const startAt = dayjs(executionStartAt)
if (!startAt.isValid()) {
return t("autoScore.startAtHint")
}
const intervalTrigger = queryTreeToTriggers(triggerTree, triggerConfig).find(
(trigger) => trigger.event === "interval_time_passed"
)
if (!intervalTrigger) {
return t("autoScore.startAtHint")
}
const intervalValue = parseIntervalTriggerValue(intervalTrigger.value)
if (!intervalValue) {
return t("autoScore.startAtHint")
}
const intervalMinutes = intervalValue.days * 24 * 60 + intervalValue.hours * 60 + intervalValue.minutes
if (intervalMinutes <= 0) {
return t("autoScore.startAtHint")
}
const now = dayjs()
if (now.isBefore(startAt)) {
return t("autoScore.startAtWaitHint", { minutes: startAt.diff(now, "minute") })
}
const elapsedMinutes = now.diff(startAt, "minute")
const remainder = elapsedMinutes % intervalMinutes
const remainMinutes =
elapsedMinutes < intervalMinutes
? intervalMinutes - elapsedMinutes
: remainder === 0
? 0
: intervalMinutes - remainder
return t("autoScore.startAtElapsedHint", {
elapsed: elapsedMinutes,
remain: remainMinutes,
})
}, [executionStartAt, t, triggerConfig, triggerTree])
const resetEditor = () => {
setEditingRuleId(null)
form.setFieldsValue({ name: "", studentNames: [], execution: {} })
setTriggerTree(createEmptyTriggerTree(triggerConfig))
setActionDrafts([createDefaultActionDraft()])
setExecutionStartAt(null)
}
const emitDataUpdated = () => {
@@ -195,6 +321,70 @@ function AutoScoreManager({ canEdit }: AutoScoreManagerProps): React.JSX.Element
fetchBatches().catch(() => void 0)
}, [canEdit])
useEffect(() => {
const api = (window as any).api
if (!canEdit || !api || backfillPrompted || rules.length === 0) return
const plan = buildOfflineBackfillPlan(rules)
setBackfillPrompted(true)
if (plan.items.length === 0 || plan.totalRuns <= 0) return
const fromText = plan.from ? plan.from.format("YYYY-MM-DD HH:mm:ss") : "-"
const toText = plan.to.format("YYYY-MM-DD HH:mm:ss")
const previewLines = plan.items
.slice(0, 5)
.map((item) => t("autoScore.backfillPreviewLine", { name: item.ruleName, runs: item.runs }))
.join("\n")
Modal.confirm({
title: t("autoScore.backfillConfirmTitle"),
content: (
<div style={{ whiteSpace: "pre-wrap", lineHeight: 1.6 }}>
{t("autoScore.backfillConfirmSummary", {
from: fromText,
to: toText,
runs: plan.totalRuns,
rules: plan.items.length,
})}
{previewLines ? `\n${previewLines}` : ""}
{plan.items.length > 5
? `\n${t("autoScore.backfillPreviewMore", { count: plan.items.length - 5 })}`
: ""}
{plan.truncatedRules > 0
? `\n${t("autoScore.backfillPreviewTruncated", {
count: plan.truncatedRules,
max: AUTO_SCORE_BACKFILL_MAX_RUNS_PER_RULE,
})}`
: ""}
</div>
),
onOk: async () => {
try {
const res = await api.autoScoreApplyBackfill({
items: plan.items.map((item) => ({ ruleId: item.ruleId, runs: item.runs })),
})
if (!res?.success) {
messageApi.error(res?.message || t("autoScore.backfillApplyFailed"))
return
}
const result = res.data
messageApi.success(
t("autoScore.backfillApplySuccess", {
runs: result?.appliedRuns ?? 0,
events: result?.createdEvents ?? 0,
})
)
await fetchRules()
await fetchBatches()
emitDataUpdated()
} catch {
messageApi.error(t("autoScore.backfillApplyFailed"))
}
},
})
}, [backfillPrompted, canEdit, messageApi, rules, t])
const handleSubmit = async () => {
const api = (window as any).api
if (!api) return
@@ -206,7 +396,14 @@ function AutoScoreManager({ canEdit }: AutoScoreManagerProps): React.JSX.Element
const values = await form.validateFields()
const name = String(values.name || "").trim()
const studentNames = Array.isArray(values.studentNames) ? values.studentNames : []
const execution = values.execution || {}
const executionFromForm = values.execution || {}
const execution: AutoScoreExecutionConfig = {
...executionFromForm,
startAt:
executionStartAt && dayjs(executionStartAt).isValid()
? dayjs(executionStartAt).toISOString()
: null,
}
if (!name) {
messageApi.warning(t("autoScore.nameRequired"))
@@ -286,12 +483,14 @@ function AutoScoreManager({ canEdit }: AutoScoreManagerProps): React.JSX.Element
}
const handleEdit = (rule: AutoScoreRule) => {
const { startAt, ...executionWithoutStartAt } = rule.execution || {}
setEditingRuleId(rule.id)
form.setFieldsValue({
name: rule.name,
studentNames: rule.studentNames || [],
execution: rule.execution || {},
execution: executionWithoutStartAt,
})
setExecutionStartAt(startAt ?? null)
setTriggerTree(triggerTreeJsonToQueryTree(triggerConfig, rule.triggerTree, rule.triggers || []))
setActionDrafts(actionsToDrafts(rule.actions || []))
}
@@ -656,6 +855,24 @@ function AutoScoreManager({ canEdit }: AutoScoreManagerProps): React.JSX.Element
>
<InputNumber min={1} style={{ width: "100%" }} disabled={!canEdit} />
</Form.Item>
<Form.Item label={t("autoScore.startAt")} extra={intervalElapsedHint}>
<DatePicker
showTime
allowClear
format="YYYY-MM-DD HH:mm:ss"
placeholder={t("autoScore.startAtPlaceholder")}
disabled={!canEdit}
style={{ width: "100%" }}
value={
executionStartAt && dayjs(executionStartAt).isValid()
? dayjs(executionStartAt)
: null
}
onChange={(value) => {
setExecutionStartAt(value ? value.toISOString() : null)
}}
/>
</Form.Item>
</div>
</Form>
</Card>
+13 -1
View File
@@ -824,6 +824,11 @@
"actionAddTag": "Add Tag",
"actionSettleScore": "Settle Score",
"actionSettleScoreHint": "No parameters required",
"startAt": "Start Time",
"startAtPlaceholder": "Select start time (empty means start now)",
"startAtHint": "Empty means start immediately; when set, interval will use this as base time",
"startAtWaitHint": "{{minutes}} minutes until start",
"startAtElapsedHint": "{{elapsed}} minutes elapsed since start, about {{remain}} minutes to next run",
"cooldownMinutes": "Cooldown (minutes)",
"maxStudentsPerRun": "Max Students Per Run",
"maxRunsPerDay": "Max Runs Per Day",
@@ -859,7 +864,14 @@
"operatorContains": "Contains",
"relationNot": "Not",
"openFile": "Open File",
"openFileFailed": "Failed to open automation file"
"openFileFailed": "Failed to open automation file",
"backfillConfirmTitle": "Offline automation replay available",
"backfillConfirmSummary": "From {{from}} to {{to}}, about {{runs}} automation runs ({{rules}} rules) can be replayed. Replay now?",
"backfillPreviewLine": "{{name}}: {{runs}} run(s)",
"backfillPreviewMore": "{{count}} more rules not shown",
"backfillPreviewTruncated": "{{count}} rules are capped to at most {{max}} replay runs",
"backfillApplySuccess": "Replay completed: {{runs}} runs applied, {{events}} score records created",
"backfillApplyFailed": "Failed to replay offline auto score runs"
},
"triggers": {
"studentTag": {
+13 -1
View File
@@ -822,6 +822,11 @@
"actionAddTag": "添加标签",
"actionSettleScore": "结算分数",
"actionSettleScoreHint": "无需参数",
"startAt": "开始时间",
"startAtPlaceholder": "请选择开始时间(留空立即开始)",
"startAtHint": "留空表示立即开始;设置后将以该时间为基准按间隔触发",
"startAtWaitHint": "距离开始还有 {{minutes}} 分钟",
"startAtElapsedHint": "自开始已过去 {{elapsed}} 分钟,距离下一次触发约 {{remain}} 分钟",
"cooldownMinutes": "冷却时间(分钟)",
"maxStudentsPerRun": "单次最多学生数",
"maxRunsPerDay": "每日最多执行次数",
@@ -857,7 +862,14 @@
"operatorContains": "包含",
"relationNot": "非",
"openFile": "打开文件",
"openFileFailed": "打开自动化文件失败"
"openFileFailed": "打开自动化文件失败",
"backfillConfirmTitle": "检测到关闭期间可补回的自动化",
"backfillConfirmSummary": "在 {{from}} 到 {{to}} 期间,预计有 {{runs}} 次自动化执行(共 {{rules}} 条规则)可补回,是否现在补回?",
"backfillPreviewLine": "{{name}}{{runs}} 次",
"backfillPreviewMore": "其余 {{count}} 条规则未展开",
"backfillPreviewTruncated": "{{count}} 条规则补回次数已截断到最多 {{max}} 次",
"backfillApplySuccess": "补回完成:执行 {{runs}} 次,新增 {{events}} 条积分记录",
"backfillApplyFailed": "补回自动加分失败"
},
"triggers": {
"studentTag": {
+18
View File
@@ -36,6 +36,7 @@ export interface autoScoreExecutionConfig {
cooldownMinutes?: number | null
maxRunsPerDay?: number | null
maxScoreDeltaPerDay?: number | null
startAt?: string | null
}
export interface autoScoreExecutionBatch {
@@ -53,6 +54,19 @@ export interface autoScoreExecutionBatch {
rollbackAt?: string | null
}
export interface autoScoreBackfillItem {
ruleId: number
runs: number
}
export interface autoScoreBackfillResult {
appliedRules: number
appliedRuns: number
affectedStudents: number
createdEvents: number
scoreDeltaTotal: number
}
export interface autoScoreRule {
id: number
name: string
@@ -361,6 +375,10 @@ const api = {
batchId: string
}): Promise<{ success: boolean; data?: autoScoreExecutionBatch; message?: string }> =>
invoke("auto_score_rollback_batch", { params }),
autoScoreApplyBackfill: (params: {
items: autoScoreBackfillItem[]
}): Promise<{ success: boolean; data?: autoScoreBackfillResult; message?: string }> =>
invoke("auto_score_apply_backfill", { params }),
// Settings & Sync
getAllSettings: (): Promise<{ success: boolean; data: settingsSpec }> =>