Add test for asserting measured cpu
This commit is contained in:
parent
41ea8f129c
commit
7fd8b0a0d5
2 changed files with 361 additions and 199 deletions
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@ -22,5 +22,6 @@ rust_test(
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"@crates//:serde_json",
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"@crates//:uuid",
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"@crates//:sysinfo",
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"@crates//:tempfile",
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],
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)
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@ -2,29 +2,56 @@ use std::env;
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use std::io::{self, Read, Write};
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use std::process::{Command, Stdio};
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use std::sync::{Arc, Mutex};
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use std::time::{SystemTime, UNIX_EPOCH, Duration};
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use std::thread;
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use std::time::{Duration, SystemTime, UNIX_EPOCH};
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// All serialization handled by protobuf serde derives
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use serde_json;
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use sysinfo::{Pid, ProcessRefreshKind, System};
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use uuid::Uuid;
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use sysinfo::{System, ProcessRefreshKind, Pid};
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// Import protobuf types from databuild
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use databuild::{
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PartitionRef, PartitionManifest, Task, JobLabel, JobConfig,
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JobLogEntry, LogMessage, WrapperJobEvent, job_log_entry, log_message
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job_log_entry, log_message, JobConfig, JobLabel, JobLogEntry, LogMessage, PartitionManifest,
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PartitionRef, Task, WrapperJobEvent,
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};
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// All types now come from protobuf - no custom structs needed
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struct JobWrapper {
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fn get_timestamp() -> String {
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SystemTime::now()
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.duration_since(UNIX_EPOCH)
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.unwrap()
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.as_secs()
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.to_string()
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}
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trait LogSink {
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fn emit(&mut self, entry: JobLogEntry);
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}
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struct StdoutSink;
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impl LogSink for StdoutSink {
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fn emit(&mut self, entry: JobLogEntry) {
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println!("{}", serde_json::to_string(&entry).unwrap());
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}
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}
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struct JobWrapper<S: LogSink> {
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job_id: String,
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sequence_number: u64,
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start_time: i64,
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sink: S,
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}
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impl JobWrapper {
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impl JobWrapper<StdoutSink> {
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fn new() -> Self {
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Self::new_with_sink(StdoutSink)
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}
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}
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impl<S: LogSink> JobWrapper<S> {
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fn new_with_sink(sink: S) -> Self {
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Self {
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job_id: Uuid::new_v4().to_string(),
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sequence_number: 0,
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@ -32,17 +59,10 @@ impl JobWrapper {
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.duration_since(UNIX_EPOCH)
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.unwrap()
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.as_secs() as i64,
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sink,
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}
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}
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fn get_timestamp() -> String {
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SystemTime::now()
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.duration_since(UNIX_EPOCH)
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.unwrap()
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.as_secs()
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.to_string()
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}
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fn next_sequence(&mut self) -> u64 {
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self.sequence_number += 1;
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self.sequence_number
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@ -50,14 +70,14 @@ impl JobWrapper {
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fn emit_log(&mut self, partition_ref: &str, content: job_log_entry::Content) {
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let entry = JobLogEntry {
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timestamp: Self::get_timestamp(),
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timestamp: get_timestamp(),
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job_id: self.job_id.clone(),
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partition_ref: partition_ref.to_string(),
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sequence_number: self.next_sequence(),
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content: Some(content),
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};
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println!("{}", serde_json::to_string(&entry).unwrap());
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self.sink.emit(entry);
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}
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fn config_mode(&mut self, outputs: Vec<String>) -> Result<(), Box<dyn std::error::Error>> {
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@ -65,17 +85,23 @@ impl JobWrapper {
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let partition_ref = outputs.first().unwrap_or(&"unknown".to_string()).clone();
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// Following the state diagram: wrapper_validate_config -> emit_config_validate_success
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self.emit_log(&partition_ref, job_log_entry::Content::JobEvent(WrapperJobEvent {
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event_type: "config_validate_success".to_string(),
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metadata: std::collections::HashMap::new(),
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job_status: None,
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exit_code: None,
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}));
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self.emit_log(
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&partition_ref,
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job_log_entry::Content::JobEvent(WrapperJobEvent {
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event_type: "config_validate_success".to_string(),
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metadata: std::collections::HashMap::new(),
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job_status: None,
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exit_code: None,
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}),
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);
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// For Phase 0, we still need to produce the expected JSON config format
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// so the current graph system can parse it. Later phases will change this.
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let config = JobConfig {
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outputs: outputs.iter().map(|s| PartitionRef { r#str: s.clone() }).collect(),
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outputs: outputs
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.iter()
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.map(|s| PartitionRef { r#str: s.clone() })
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.collect(),
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inputs: vec![],
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args: outputs.clone(),
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env: {
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@ -104,26 +130,42 @@ impl JobWrapper {
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io::stdin().read_to_string(&mut buffer)?;
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let config: JobConfig = serde_json::from_str(&buffer)?;
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let partition_ref = config.outputs.first()
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self.exec_mode_with_config(job_binary, config)
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}
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fn exec_mode_with_config(
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&mut self,
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job_binary: &str,
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config: JobConfig,
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) -> Result<(), Box<dyn std::error::Error>> {
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let partition_ref = config
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.outputs
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.first()
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.map(|p| p.str.clone())
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.unwrap_or_else(|| "unknown".to_string());
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// Following the state diagram:
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// 1. wrapper_validate_config -> emit_config_validate_success
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self.emit_log(&partition_ref, job_log_entry::Content::JobEvent(WrapperJobEvent {
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event_type: "config_validate_success".to_string(),
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job_status: None,
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exit_code: None,
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metadata: std::collections::HashMap::new(),
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}));
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self.emit_log(
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&partition_ref,
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job_log_entry::Content::JobEvent(WrapperJobEvent {
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event_type: "config_validate_success".to_string(),
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job_status: None,
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exit_code: None,
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metadata: std::collections::HashMap::new(),
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}),
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);
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// 2. wrapper_launch_task -> emit_task_launch_success
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self.emit_log(&partition_ref, job_log_entry::Content::JobEvent(WrapperJobEvent {
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event_type: "task_launch_success".to_string(),
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job_status: None,
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exit_code: None,
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metadata: std::collections::HashMap::new(),
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}));
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self.emit_log(
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&partition_ref,
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job_log_entry::Content::JobEvent(WrapperJobEvent {
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event_type: "task_launch_success".to_string(),
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job_status: None,
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exit_code: None,
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metadata: std::collections::HashMap::new(),
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}),
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);
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// Execute the original job binary with the exec subcommand
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let mut cmd = Command::new(job_binary);
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@ -148,7 +190,7 @@ impl JobWrapper {
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// Send the config to the job
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if let Some(stdin) = child.stdin.as_mut() {
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stdin.write_all(buffer.as_bytes())?;
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stdin.write_all(serde_json::to_string(&config).unwrap().as_bytes())?;
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}
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// Start heartbeat thread
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@ -175,7 +217,10 @@ impl JobWrapper {
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// Create heartbeat event with metrics
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let mut metadata = std::collections::HashMap::new();
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metadata.insert("memory_usage_mb".to_string(), format!("{:.3}", memory_mb));
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metadata.insert("cpu_usage_percent".to_string(), format!("{:.3}", cpu_percent));
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metadata.insert(
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"cpu_usage_percent".to_string(),
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format!("{:.3}", cpu_percent),
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);
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// Get next sequence number for heartbeat
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let seq = {
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@ -185,7 +230,7 @@ impl JobWrapper {
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};
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let heartbeat_event = JobLogEntry {
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timestamp: JobWrapper::get_timestamp(),
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timestamp: get_timestamp(),
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job_id: heartbeat_job_id.clone(),
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partition_ref: heartbeat_partition_ref.clone(),
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sequence_number: seq,
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@ -230,14 +275,19 @@ impl JobWrapper {
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}
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// Calculate final metrics
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let job_duration = job_start_time.elapsed()
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.map_err(|e| io::Error::new(io::ErrorKind::Other, format!("Time calculation error: {}", e)))?;
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let job_duration = job_start_time.elapsed().map_err(|e| {
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io::Error::new(
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io::ErrorKind::Other,
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format!("Time calculation error: {}", e),
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)
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})?;
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// Calculate CPU time: average CPU percentage * wall-clock time
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let total_cpu_ms = if cpu_samples.is_empty() {
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0.0
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} else {
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let avg_cpu_percent = cpu_samples.iter().sum::<f32>() as f64 / cpu_samples.len() as f64;
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let avg_cpu_percent =
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cpu_samples.iter().sum::<f32>() as f64 / cpu_samples.len() as f64;
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(avg_cpu_percent / 100.0) * job_duration.as_millis() as f64
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};
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@ -283,44 +333,62 @@ impl JobWrapper {
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// Capture and forward job stdout/stderr as log messages
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if !output.stdout.is_empty() {
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let stdout_str = String::from_utf8_lossy(&output.stdout);
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self.emit_log(&partition_ref, job_log_entry::Content::Log(LogMessage {
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level: log_message::LogLevel::Info as i32,
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message: stdout_str.to_string(),
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fields: std::collections::HashMap::new(),
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}));
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self.emit_log(
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&partition_ref,
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job_log_entry::Content::Log(LogMessage {
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level: log_message::LogLevel::Info as i32,
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message: stdout_str.to_string(),
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fields: std::collections::HashMap::new(),
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}),
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);
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}
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if !output.stderr.is_empty() {
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let stderr_str = String::from_utf8_lossy(&output.stderr);
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self.emit_log(&partition_ref, job_log_entry::Content::Log(LogMessage {
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level: log_message::LogLevel::Error as i32,
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message: stderr_str.to_string(),
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fields: std::collections::HashMap::new(),
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}));
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self.emit_log(
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&partition_ref,
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job_log_entry::Content::Log(LogMessage {
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level: log_message::LogLevel::Error as i32,
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message: stderr_str.to_string(),
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fields: std::collections::HashMap::new(),
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}),
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);
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}
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// Emit job summary with resource metrics
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let mut summary_metadata = std::collections::HashMap::new();
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summary_metadata.insert("runtime_ms".to_string(), format!("{:.3}", job_duration.as_millis() as f64));
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summary_metadata.insert("peak_memory_mb".to_string(), format!("{:.3}", peak_memory_mb));
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summary_metadata.insert(
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"runtime_ms".to_string(),
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format!("{:.3}", job_duration.as_millis() as f64),
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);
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summary_metadata.insert(
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"peak_memory_mb".to_string(),
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format!("{:.3}", peak_memory_mb),
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);
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summary_metadata.insert("total_cpu_ms".to_string(), format!("{:.3}", total_cpu_ms));
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summary_metadata.insert("exit_code".to_string(), exit_code.to_string());
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self.emit_log(&partition_ref, job_log_entry::Content::JobEvent(WrapperJobEvent {
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event_type: "job_summary".to_string(),
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job_status: None,
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exit_code: Some(exit_code),
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metadata: summary_metadata,
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}));
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self.emit_log(
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&partition_ref,
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job_log_entry::Content::JobEvent(WrapperJobEvent {
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event_type: "job_summary".to_string(),
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job_status: None,
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exit_code: Some(exit_code),
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metadata: summary_metadata,
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}),
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);
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if success {
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// Following the state diagram: wrapper_monitor_task -> zero exit -> emit_task_success
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self.emit_log(&partition_ref, job_log_entry::Content::JobEvent(WrapperJobEvent {
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event_type: "task_success".to_string(),
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job_status: Some("JOB_COMPLETED".to_string()),
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exit_code: Some(exit_code),
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metadata: std::collections::HashMap::new(),
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}));
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self.emit_log(
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&partition_ref,
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job_log_entry::Content::JobEvent(WrapperJobEvent {
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event_type: "task_success".to_string(),
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job_status: Some("JOB_COMPLETED".to_string()),
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exit_code: Some(exit_code),
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metadata: std::collections::HashMap::new(),
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}),
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);
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// Then emit_partition_manifest -> success
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let end_time = SystemTime::now()
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@ -328,39 +396,52 @@ impl JobWrapper {
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.unwrap()
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.as_secs() as i64;
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self.emit_log(&partition_ref, job_log_entry::Content::Manifest(PartitionManifest {
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outputs: config.outputs.clone(),
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inputs: vec![], // Phase 0: no input manifests yet
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start_time: self.start_time,
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end_time,
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task: Some(Task {
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job: Some(JobLabel {
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label: env::var("DATABUILD_JOB_LABEL").unwrap_or_else(|_| "unknown".to_string()),
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self.emit_log(
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&partition_ref,
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job_log_entry::Content::Manifest(PartitionManifest {
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outputs: config.outputs.clone(),
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inputs: vec![], // Phase 0: no input manifests yet
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start_time: self.start_time,
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end_time,
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task: Some(Task {
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job: Some(JobLabel {
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label: env::var("DATABUILD_JOB_LABEL")
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.unwrap_or_else(|_| "unknown".to_string()),
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}),
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config: Some(config.clone()),
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}),
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config: Some(config.clone()),
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metadata: std::collections::HashMap::new(), // Phase 0: no metadata yet
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}),
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metadata: std::collections::HashMap::new(), // Phase 0: no metadata yet
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}));
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);
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} else {
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// Following the state diagram: wrapper_monitor_task -> non-zero exit -> emit_task_failed
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self.emit_log(&partition_ref, job_log_entry::Content::JobEvent(WrapperJobEvent {
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event_type: "task_failed".to_string(),
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job_status: Some("JOB_FAILED".to_string()),
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exit_code: Some(exit_code),
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metadata: std::collections::HashMap::new(),
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}));
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self.emit_log(
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&partition_ref,
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job_log_entry::Content::JobEvent(WrapperJobEvent {
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event_type: "task_failed".to_string(),
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job_status: Some("JOB_FAILED".to_string()),
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exit_code: Some(exit_code),
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metadata: std::collections::HashMap::new(),
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}),
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);
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// Then emit_job_exec_fail -> fail (don't emit partition manifest on failure)
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self.emit_log(&partition_ref, job_log_entry::Content::JobEvent(WrapperJobEvent {
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event_type: "job_exec_fail".to_string(),
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job_status: Some("JOB_FAILED".to_string()),
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exit_code: Some(exit_code),
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metadata: {
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let mut meta = std::collections::HashMap::new();
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meta.insert("error".to_string(), format!("Job failed with exit code {}", exit_code));
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meta
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},
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}));
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self.emit_log(
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&partition_ref,
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job_log_entry::Content::JobEvent(WrapperJobEvent {
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event_type: "job_exec_fail".to_string(),
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job_status: Some("JOB_FAILED".to_string()),
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exit_code: Some(exit_code),
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metadata: {
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let mut meta = std::collections::HashMap::new();
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meta.insert(
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"error".to_string(),
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format!("Job failed with exit code {}", exit_code),
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);
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meta
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},
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}),
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);
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}
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// Forward the original job's output to stdout for compatibility
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@ -394,8 +475,8 @@ fn main() -> Result<(), Box<dyn std::error::Error>> {
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"exec" => {
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// For exec mode, we need to know which original job binary to call
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// For Phase 0, we'll derive this from environment or make it configurable
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let job_binary = env::var("DATABUILD_JOB_BINARY")
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.unwrap_or_else(|_| "python3".to_string()); // Default fallback
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let job_binary =
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env::var("DATABUILD_JOB_BINARY").unwrap_or_else(|_| "python3".to_string()); // Default fallback
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wrapper.exec_mode(&job_binary)?;
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}
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@ -412,10 +493,42 @@ fn main() -> Result<(), Box<dyn std::error::Error>> {
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mod tests {
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use super::*;
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// Test infrastructure
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struct TestSink {
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entries: Vec<JobLogEntry>,
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}
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impl TestSink {
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fn new() -> Self {
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Self {
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entries: Vec::new(),
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}
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}
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fn find_event(&self, event_type: &str) -> Option<&JobLogEntry> {
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self.entries.iter().find(|entry| {
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if let Some(job_log_entry::Content::JobEvent(event)) = &entry.content {
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event.event_type == event_type
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} else {
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false
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}
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})
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}
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}
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impl LogSink for TestSink {
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fn emit(&mut self, entry: JobLogEntry) {
|
||||
self.entries.push(entry);
|
||||
}
|
||||
}
|
||||
|
||||
// Helper functions for testing
|
||||
fn generate_test_config(outputs: &[String]) -> JobConfig {
|
||||
JobConfig {
|
||||
outputs: outputs.iter().map(|s| PartitionRef { r#str: s.clone() }).collect(),
|
||||
outputs: outputs
|
||||
.iter()
|
||||
.map(|s| PartitionRef { r#str: s.clone() })
|
||||
.collect(),
|
||||
inputs: vec![],
|
||||
args: outputs.to_vec(),
|
||||
env: {
|
||||
|
|
@ -445,7 +558,7 @@ mod tests {
|
|||
let json = serde_json::to_string(&entry).unwrap();
|
||||
assert!(json.contains("\"timestamp\":\"1234567890\""));
|
||||
assert!(json.contains("\"sequence_number\":1"));
|
||||
assert!(json.contains("\"Log\":{")); // Capitalized field name
|
||||
assert!(json.contains("\"Log\":{")); // Capitalized field name
|
||||
assert!(json.contains("\"message\":\"test message\""));
|
||||
}
|
||||
|
||||
|
|
@ -466,7 +579,10 @@ mod tests {
|
|||
assert_eq!(config.outputs.len(), 1);
|
||||
assert_eq!(config.outputs[0].r#str, "test/partition");
|
||||
assert_eq!(config.args, outputs);
|
||||
assert_eq!(config.env.get("PARTITION_REF"), Some(&"test/partition".to_string()));
|
||||
assert_eq!(
|
||||
config.env.get("PARTITION_REF"),
|
||||
Some(&"test/partition".to_string())
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
|
|
@ -481,7 +597,10 @@ mod tests {
|
|||
assert_eq!(config.outputs[0].r#str, "reviews/date=2025-01-01");
|
||||
assert_eq!(config.outputs[1].r#str, "reviews/date=2025-01-02");
|
||||
// First output is used as PARTITION_REF
|
||||
assert_eq!(config.env.get("PARTITION_REF"), Some(&"reviews/date=2025-01-01".to_string()));
|
||||
assert_eq!(
|
||||
config.env.get("PARTITION_REF"),
|
||||
Some(&"reviews/date=2025-01-01".to_string())
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
|
|
@ -551,9 +670,9 @@ mod tests {
|
|||
|
||||
#[test]
|
||||
fn test_timestamp_generation() {
|
||||
let ts1 = JobWrapper::get_timestamp();
|
||||
let ts1 = get_timestamp();
|
||||
std::thread::sleep(std::time::Duration::from_millis(10));
|
||||
let ts2 = JobWrapper::get_timestamp();
|
||||
let ts2 = get_timestamp();
|
||||
|
||||
// Timestamps should be parseable as integers
|
||||
let t1: u64 = ts1.parse().expect("Should be valid timestamp");
|
||||
|
|
@ -573,75 +692,117 @@ mod tests {
|
|||
|
||||
#[test]
|
||||
fn test_cpu_metrics_are_captured() {
|
||||
use std::process::{Command, Stdio};
|
||||
use std::io::Write;
|
||||
use std::process::{Command, Stdio};
|
||||
use tempfile::NamedTempFile;
|
||||
|
||||
// Set faster sampling interval for test
|
||||
env::set_var("DATABUILD_METRICS_INTERVAL_MS", "10");
|
||||
|
||||
// Create a CPU-intensive Python script
|
||||
let cpu_script = r#"
|
||||
// Create a CPU-intensive test script
|
||||
let mut temp_file = NamedTempFile::new().expect("Failed to create temp file");
|
||||
let script_content = r#"#!/usr/bin/env python3
|
||||
import sys
|
||||
import json
|
||||
|
||||
if len(sys.argv) > 1 and sys.argv[1] == "config":
|
||||
print('{"configs":[{"outputs":[{"str":"test/cpu"}],"inputs":[],"args":[],"env":{}}]}')
|
||||
config = {
|
||||
"outputs": [{"str": "test/cpu"}],
|
||||
"inputs": [],
|
||||
"args": [],
|
||||
"env": {"PARTITION_REF": "test/cpu"}
|
||||
}
|
||||
print(json.dumps({"configs": [config]}))
|
||||
elif len(sys.argv) > 1 and sys.argv[1] == "exec":
|
||||
# CPU-intensive work
|
||||
total = sum(range(10_000_000))
|
||||
total = sum(range(50_000_000)) # Smaller for faster test
|
||||
print(f"Sum: {total}")
|
||||
"#;
|
||||
|
||||
let script_path = "/tmp/databuild_test_cpu.py";
|
||||
std::fs::write(script_path, cpu_script).expect("Failed to write test script");
|
||||
temp_file
|
||||
.write_all(script_content.as_bytes())
|
||||
.expect("Failed to write script");
|
||||
let script_path = temp_file.path().to_str().unwrap();
|
||||
|
||||
// Run wrapper with the CPU-intensive job
|
||||
env::set_var("DATABUILD_JOB_BINARY", "python3");
|
||||
// Make script executable
|
||||
std::fs::set_permissions(
|
||||
script_path,
|
||||
std::os::unix::fs::PermissionsExt::from_mode(0o755),
|
||||
)
|
||||
.expect("Failed to set permissions");
|
||||
|
||||
let output = Command::new(env!("CARGO_BIN_EXE_job_wrapper"))
|
||||
.arg("exec")
|
||||
.stdin(Stdio::piped())
|
||||
.stdout(Stdio::piped())
|
||||
.stderr(Stdio::piped())
|
||||
.spawn()
|
||||
.and_then(|mut child| {
|
||||
// Send config to stdin
|
||||
let config = JobConfig {
|
||||
outputs: vec![PartitionRef { r#str: "test/cpu".to_string() }],
|
||||
inputs: vec![],
|
||||
args: vec![script_path.to_string()],
|
||||
env: std::collections::HashMap::new(),
|
||||
};
|
||||
let config_json = serde_json::to_string(&config).unwrap();
|
||||
// Set up environment for fast sampling and the test script
|
||||
env::set_var("DATABUILD_METRICS_INTERVAL_MS", "10");
|
||||
env::set_var("DATABUILD_JOB_BINARY", script_path);
|
||||
|
||||
if let Some(stdin) = child.stdin.as_mut() {
|
||||
stdin.write_all(config_json.as_bytes()).unwrap();
|
||||
}
|
||||
// Create test sink and wrapper
|
||||
let sink = TestSink::new();
|
||||
let mut wrapper = JobWrapper::new_with_sink(sink);
|
||||
|
||||
child.wait_with_output()
|
||||
})
|
||||
.expect("Failed to run wrapper");
|
||||
// Create a JobConfig for the test
|
||||
let config = JobConfig {
|
||||
outputs: vec![PartitionRef {
|
||||
r#str: "test/cpu".to_string(),
|
||||
}],
|
||||
inputs: vec![],
|
||||
args: vec![],
|
||||
env: {
|
||||
let mut env_map = std::collections::HashMap::new();
|
||||
env_map.insert("PARTITION_REF".to_string(), "test/cpu".to_string());
|
||||
env_map
|
||||
},
|
||||
};
|
||||
|
||||
// Parse output to find job_summary
|
||||
let stdout = String::from_utf8_lossy(&output.stdout);
|
||||
let mut cpu_ms = None;
|
||||
// We need to simulate stdin for exec_mode - let's create a test-specific exec method
|
||||
// that takes the config directly rather than reading from stdin
|
||||
let result = wrapper.exec_mode_with_config(script_path, config);
|
||||
|
||||
for line in stdout.lines() {
|
||||
if let Ok(json) = serde_json::from_str::<serde_json::Value>(line) {
|
||||
if json["content"]["JobEvent"]["event_type"] == "job_summary" {
|
||||
if let Some(cpu_str) = json["content"]["JobEvent"]["metadata"]["total_cpu_ms"].as_str() {
|
||||
cpu_ms = Some(cpu_str.parse::<f64>().unwrap());
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Clean up
|
||||
std::fs::remove_file(script_path).ok();
|
||||
// Clean up environment
|
||||
env::remove_var("DATABUILD_METRICS_INTERVAL_MS");
|
||||
env::remove_var("DATABUILD_JOB_BINARY");
|
||||
|
||||
// Assert we captured non-zero CPU time
|
||||
assert!(cpu_ms.is_some(), "Should have found job_summary event");
|
||||
let cpu_time = cpu_ms.unwrap();
|
||||
assert!(cpu_time > 0.0,
|
||||
"Expected non-zero CPU time for CPU-intensive workload, but got {:.3}ms", cpu_time);
|
||||
// Check that exec_mode succeeded
|
||||
if let Err(e) = &result {
|
||||
println!("exec_mode failed with error: {}", e);
|
||||
}
|
||||
assert!(result.is_ok(), "exec_mode should succeed: {:?}", result);
|
||||
|
||||
// Find the job_summary event
|
||||
let summary_event = wrapper
|
||||
.sink
|
||||
.find_event("job_summary")
|
||||
.expect("Should have job_summary event");
|
||||
|
||||
if let Some(job_log_entry::Content::JobEvent(event)) = &summary_event.content {
|
||||
// Verify we have CPU metrics
|
||||
let cpu_ms_str = event
|
||||
.metadata
|
||||
.get("total_cpu_ms")
|
||||
.expect("Should have total_cpu_ms metric");
|
||||
let cpu_ms: f64 = cpu_ms_str
|
||||
.parse()
|
||||
.expect("CPU metric should be valid float");
|
||||
|
||||
// For CPU-intensive work, we should get non-zero CPU time
|
||||
assert!(
|
||||
cpu_ms > 0.0,
|
||||
"Expected non-zero CPU time for CPU-intensive workload, but got {:.3}ms",
|
||||
cpu_ms
|
||||
);
|
||||
|
||||
// Also verify runtime is reasonable
|
||||
let runtime_ms_str = event
|
||||
.metadata
|
||||
.get("runtime_ms")
|
||||
.expect("Should have runtime_ms metric");
|
||||
let runtime_ms: f64 = runtime_ms_str
|
||||
.parse()
|
||||
.expect("Runtime metric should be valid float");
|
||||
assert!(runtime_ms > 0.0, "Should have non-zero runtime");
|
||||
|
||||
println!(
|
||||
"CPU test results: {:.3}ms CPU time over {:.3}ms runtime",
|
||||
cpu_ms, runtime_ms
|
||||
);
|
||||
} else {
|
||||
panic!("job_summary event should contain JobEvent");
|
||||
}
|
||||
}
|
||||
}
|
||||
Loading…
Reference in a new issue