-
Notifications
You must be signed in to change notification settings - Fork 27
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Log progress/status to Prime Intellect
- Loading branch information
1 parent
ad3a344
commit c54f87b
Showing
4 changed files
with
204 additions
and
4 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,144 @@ | ||
| import os | ||
| import requests | ||
| from enum import Enum | ||
| from typing import Any | ||
| from multiaddr import Multiaddr | ||
| import json | ||
| import base64 | ||
|
|
||
| class PrimeIntellectProgressLogger: | ||
| """ | ||
| Logs the status of nodes, and training progress to Prime Intellect's API. | ||
| """ | ||
|
|
||
| def __init__(self, peer_id, project, config, maddrs, *args, **kwargs): | ||
| self.peer_id = str(peer_id) | ||
| self.project = project | ||
| self.config = self._serialize_payload(config) | ||
| self.data = [] | ||
| self.batch_size = 10 | ||
| self.base_url = "https://protocol-api.primeintellect.ai/training_runs" | ||
|
|
||
| self.maddrs = [str(maddr) for maddr in maddrs] | ||
| self.run_id = self._initialize_run() | ||
|
|
||
| def _serialize_payload(self, data): | ||
| def serialize_custom(obj): | ||
| if isinstance(obj, Enum): | ||
| return obj.name | ||
| elif isinstance(obj, Multiaddr): | ||
| return str(obj) | ||
| elif isinstance(obj, bytes): | ||
| return base64.b64encode(obj).decode('utf-8') | ||
| raise TypeError(f"Object of type {obj.__class__.__name__} is not JSON serializable") | ||
|
|
||
| return json.loads(json.dumps(data, default=serialize_custom)) | ||
|
|
||
| def _initialize_run(self): | ||
| headers = { | ||
| "Content-Type": "application/json" | ||
| } | ||
| payload = { | ||
| "project": self.project, | ||
| "config": self.config, | ||
| "peer_maddrs": self.maddrs, | ||
| "peer_id": self.peer_id | ||
| } | ||
| api = f"{self.base_url}/init" | ||
| try: | ||
| response = requests.post(api, json=payload, headers=headers) | ||
| response.raise_for_status() | ||
| response_data = response.json() | ||
| run_id = response_data.get('run_id') | ||
| if run_id: | ||
| print(f"Successfully initialized Prime Protocol API. Run ID: {run_id}") | ||
| return run_id | ||
| else: | ||
| raise ValueError("No run ID returned from Prime Protocol API") | ||
| except requests.RequestException as e: | ||
| print(f"Failed to initialize Prime Protocol API: {e}") | ||
| return None | ||
|
|
||
| def _remove_duplicates(self): | ||
| seen = set() | ||
| unique_logs = [] | ||
| for log in self.data: | ||
| log_tuple = tuple(sorted(log.items())) | ||
| if log_tuple not in seen: | ||
| unique_logs.append(log) | ||
| seen.add(log_tuple) | ||
| self.data = unique_logs | ||
|
|
||
| def log(self, data: dict[str, Any]): | ||
| serialized_data = self._serialize_payload(data) | ||
| # Add peer_id to log data, so that logs can be associated with the correct node | ||
| serialized_data['peer_id'] = self.peer_id | ||
| self.data.append(serialized_data) | ||
| if len(self.data) >= self.batch_size: | ||
| self._remove_duplicates() # Remove duplicates before sending | ||
| self._send_batch() | ||
|
|
||
| def _send_batch(self): | ||
| # Remove duplicates before sending | ||
| self._remove_duplicates() | ||
|
|
||
| # Send batch of logs to Prime Intellect's API endpoint | ||
| batch = self.data[:self.batch_size] | ||
| headers = { | ||
| "Content-Type": "application/json" | ||
| } | ||
| payload = { | ||
| "run_id": self.run_id, | ||
| "logs": batch | ||
| } | ||
| api = f"{self.base_url}/logs" | ||
| try: | ||
| response = requests.post(api, json=payload, headers=headers) | ||
| response.raise_for_status() | ||
| print(f"Successfully sent batch of {len(batch)} logs to Prime Protocol API") | ||
| except requests.RequestException as e: | ||
| print(f"Failed to send logs to Prime Protocol API: {e}") | ||
|
|
||
| self.data = self.data[self.batch_size:] | ||
|
|
||
| def _finish(self): | ||
| headers = { | ||
| "Content-Type": "application/json" | ||
| } | ||
| api = f"{self.base_url}/{self.run_id}/finish" | ||
| try: | ||
| response = requests.post(api, headers=headers) | ||
| response.raise_for_status() | ||
| print(f"Successfully called finish endpoint for run ID: {self.run_id}") | ||
| except requests.RequestException as e: | ||
| print(f"Failed to call finish endpoint: {e}") | ||
|
|
||
| def finish(self): | ||
| # Remove duplicates before sending any remaining logs | ||
| self._remove_duplicates() | ||
|
|
||
| # Send any remaining logs | ||
| while self.data: | ||
| self._send_batch() | ||
|
|
||
| self._finish() | ||
|
|
||
| _progress_logger = None | ||
|
|
||
| def init_pi_progress_logger(peer_id, project, config, *args, **kwargs): | ||
| global _progress_logger | ||
| _progress_logger = PrimeIntellectProgressLogger(peer_id, project, config, *args, **kwargs) | ||
|
|
||
| def get_pi_progress_logger(): | ||
| global _progress_logger | ||
| if _progress_logger is None: | ||
| raise ValueError("Status logger has not been initialized. Please call init_status_logger first.") | ||
| return _progress_logger | ||
|
|
||
| def log_progress_to_pi(data: dict[str, Any]): | ||
| logger = get_pi_progress_logger() | ||
| logger.log(data) | ||
|
|
||
| def finish_pi_progress_logger(): | ||
| logger = get_pi_progress_logger() | ||
| logger.finish() |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters