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| import utils | |
| import time | |
| import datetime | |
| import pandas as pd | |
| import bittensor as bt | |
| from typing import Dict, List, Any, Optional, Tuple | |
| from flask import Flask, request, jsonify | |
| app = Flask(__name__) | |
| # Global variables (saves time on loading data) | |
| state_vars = utils.test_load_state_vars() | |
| metagraph = state_vars["metagraph"] | |
| model_data = state_vars["model_data"] | |
| vali_runs = state_vars["vali_runs"] | |
| scores = state_vars["scores"] | |
| validator_df = state_vars["validator_df"] | |
| benchmarks = state_vars.get("benchmarks", None) | |
| benchmark_timestamp = state_vars.get("benchmark_timestamp", None) | |
| def home(): | |
| return "Welcome to the Bittensor Pretraining Leaderboard API!" | |
| def reload(): | |
| """ | |
| Reload the state variables | |
| """ | |
| global metagraph, model_data, vali_runs, scores, validator_df, benchmarks, benchmark_timestamp | |
| state_vars = utils.load_state_vars() | |
| metagraph = state_vars["metagraph"] | |
| model_data = state_vars["model_data"] | |
| vali_runs = state_vars["vali_runs"] | |
| scores = state_vars["scores"] | |
| validator_df = state_vars["validator_df"] | |
| benchmarks = state_vars.get("benchmarks", None) | |
| benchmark_timestamp = state_vars.get("benchmark_timestamp", None) | |
| return jsonify({"message": "State variables reloaded"}) | |
| def benchmark(): | |
| """ | |
| Get the benchmarks and the timestamp | |
| Returns: | |
| - benchmarks: List of dicts (from pandas DataFrame) | |
| - benchmark_timestamp: String | |
| """ | |
| return jsonify( | |
| { | |
| "benchmarks": benchmarks.to_dict(orient='records'), | |
| "benchmark_timestamp": benchmark_timestamp.strftime('%Y-%m-%d %H:%M:%S') | |
| } | |
| ) | |
| def metagraph(): | |
| """ | |
| Get the metagraph data | |
| Returns: | |
| - metagraph_data: List of dicts (from pandas DataFrame) | |
| """ | |
| return jsonify( | |
| utils.make_metagraph_dataframe(metagraph).to_dict(orient='records') | |
| ) | |
| def leaderboard(): | |
| """ | |
| Get the leaderboard data | |
| Returns: | |
| - leaderboard_data: List of dicts (from pandas DataFrame) | |
| """ | |
| show_stale = request.args.get('show_stale') | |
| return jsonify( | |
| utils.leaderboard_data(model_data, scores, show_stale=show_stale) | |
| ) | |
| def loss(): | |
| """ | |
| Get the losses over time | |
| Returns: | |
| - losses_over_time: List of dicts (from pandas DataFrame) | |
| """ | |
| return jsonify( | |
| utils.get_losses_over_time(vali_runs).to_dict(orient='records') | |
| ) | |
| def validator(): | |
| """ | |
| Get the validator data | |
| Returns: | |
| - validator_data: List of dicts (from pandas DataFrame) | |
| """ | |
| return jsonify( | |
| utils.make_validator_dataframe(validator_df, model_data).to_dict(orient='records') | |
| ) | |
| if __name__ == '__main__': | |
| app.run(port=5000, debug=True) | |