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import atexit
import datetime
from flask import Flask, request, jsonify
from apscheduler.schedulers.background import BackgroundScheduler
import utils
app = Flask(__name__)
# Global variables (saves time on loading data)
state_vars = None
reload_timestamp = datetime.datetime.now().strftime('%D %T')
def load_data():
"""
Reload the state variables
"""
global state_vars, reload_timestamp
state_vars = utils.load_state_vars()
reload_timestamp = datetime.datetime.now().strftime('%D %T')
print(f'Reloaded data at {reload_timestamp}')
def start_scheduler():
scheduler = BackgroundScheduler()
scheduler.add_job(func=load_data, trigger="interval", seconds=60*30)
scheduler.start()
# Shut down the scheduler when exiting the app
atexit.register(lambda: scheduler.shutdown())
@app.route('/', methods=['GET'])
def home():
return "Welcome to the Bittensor Protein Folding Leaderboard API!"
@app.route('/updated', methods=['GET'])
def updated():
return reload_timestamp
@app.route('/data', methods=['GET'])
@app.route('/data/<period>', methods=['GET'])
def data(period=None):
"""
Get the productivity metrics
"""
assert period in ('24h', None), f"Invalid period: {period}. Must be '24h' or None."
df = state_vars["dataframe_24h"] if period == '24h' else state_vars["dataframe"]
return jsonify(
df.astype(str).to_dict(orient='records')
)
@app.route('/productivity', methods=['GET'])
@app.route('/productivity/<period>', methods=['GET'])
def productivity_metrics(period=None):
"""
Get the productivity metrics
"""
assert period in ('24h', None), f"Invalid period: {period}. Must be '24h' or None."
df = state_vars["dataframe_24h"] if period == '24h' else state_vars["dataframe"]
return jsonify(
utils.get_productivity(df)
)
@app.route('/throughput', methods=['GET'])
@app.route('/throughput/<period>', methods=['GET'])
def throughput_metrics(period=None):
"""
Get the throughput metrics
"""
assert period in ('24h', None), f"Invalid period: {period}. Must be '24h' or None."
df = state_vars["dataframe_24h"] if period == '24h' else state_vars["dataframe"]
return jsonify(utils.get_data_transferred(df))
@app.route('/metagraph', methods=['GET'])
def metagraph():
"""
Get the metagraph data
Returns:
- metagraph_data: List of dicts (from pandas DataFrame)
"""
df_m = state_vars["metagraph"]
return jsonify(
df_m.to_dict(orient='records')
)
@app.route('/leaderboard', methods=['GET'])
@app.route('/leaderboard/<entity>', methods=['GET'])
@app.route('/leaderboard/<entity>/<ntop>', methods=['GET'])
def leaderboard(entity='identity',ntop=10):
"""
Get the leaderboard data
Returns:
- leaderboard_data: List of dicts (from pandas DataFrame)
"""
assert entity in utils.ENTITY_CHOICES, f"Invalid entity choice: {entity}"
df_miners = utils.get_leaderboard(
state_vars["metagraph"],
ntop=int(ntop),
entity_choice=entity
)
return jsonify(
df_miners.to_dict(orient='records')
)
@app.route('/validator', methods=['GET'])
def validator():
"""
Get the validator data
Returns:
- validator_data: List of dicts (from pandas DataFrame)
"""
df_m = state_vars["metagraph"]
df_validators = df_m.loc[df_m.validator_trust > 0]
return jsonify(
df_validators.to_dict(orient='records')
)
if __name__ == '__main__':
load_data()
start_scheduler()
app.run(host='0.0.0.0', port=5001, debug=True)
# to test locally
# curl -X GET http://0.0.0.0:5001/data
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