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Update database_schema.py
Browse files- database_schema.py +181 -97
database_schema.py
CHANGED
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@@ -8,35 +8,70 @@ which integrates benchmark selection, model evaluation, and leaderboard function
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import sqlite3
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import os
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import json
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from datetime import datetime, timedelta
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import pandas as pd
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class DynamicHighscoresDB:
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"""Database manager for the Dynamic Highscores system."""
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def __init__(self, db_path="dynamic_highscores.db"):
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"""Initialize the database connection and create tables if they don't exist."""
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self.db_path = db_path
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self.
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self.cursor = None
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self.connect()
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self.create_tables()
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def
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"""
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self.
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-
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def close(self):
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"""Close the database connection."""
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self.conn.close()
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def create_tables(self):
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"""Create all necessary tables if they don't exist."""
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# Users table - stores user information
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-
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CREATE TABLE IF NOT EXISTS users (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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username TEXT UNIQUE NOT NULL,
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@@ -48,7 +83,7 @@ class DynamicHighscoresDB:
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''')
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# Benchmarks table - stores information about available benchmarks
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-
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CREATE TABLE IF NOT EXISTS benchmarks (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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name TEXT NOT NULL,
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@@ -60,7 +95,7 @@ class DynamicHighscoresDB:
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''')
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# Models table - stores information about submitted models
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-
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CREATE TABLE IF NOT EXISTS models (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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name TEXT NOT NULL,
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@@ -76,7 +111,7 @@ class DynamicHighscoresDB:
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''')
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# Evaluations table - stores evaluation results
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-
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CREATE TABLE IF NOT EXISTS evaluations (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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model_id INTEGER NOT NULL,
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@@ -85,6 +120,7 @@ class DynamicHighscoresDB:
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results TEXT, -- JSON string of results
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score REAL, -- Overall score (can be NULL)
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submitted_at TEXT DEFAULT CURRENT_TIMESTAMP,
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completed_at TEXT,
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FOREIGN KEY (model_id) REFERENCES models (id),
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FOREIGN KEY (benchmark_id) REFERENCES benchmarks (id)
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@@ -92,7 +128,7 @@ class DynamicHighscoresDB:
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''')
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# Queue table - stores evaluation queue
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-
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CREATE TABLE IF NOT EXISTS queue (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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evaluation_id INTEGER NOT NULL,
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@@ -102,41 +138,50 @@ class DynamicHighscoresDB:
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)
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''')
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-
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# User management methods
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def add_user(self, username, hf_user_id, is_admin=False):
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"""Add a new user to the database."""
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try:
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-
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"INSERT INTO users (username, hf_user_id, is_admin) VALUES (?, ?, ?)",
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(username, hf_user_id, is_admin)
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)
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-
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return
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except sqlite3.IntegrityError:
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# User already exists
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-
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"SELECT id FROM users WHERE hf_user_id = ?",
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(hf_user_id,)
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)
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-
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def get_user(self, hf_user_id):
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"""Get user information by HuggingFace user ID."""
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self.
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"SELECT * FROM users WHERE hf_user_id = ?",
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(hf_user_id,)
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)
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-
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def can_submit_today(self, user_id):
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"""Check if a user can submit a benchmark evaluation today."""
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self.
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"SELECT is_admin, last_submission_date FROM users WHERE id = ?",
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(user_id,)
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)
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result =
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if not result:
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return False
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@@ -159,56 +204,71 @@ class DynamicHighscoresDB:
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def update_submission_date(self, user_id):
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"""Update the last submission date for a user."""
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current_time = datetime.now().isoformat()
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"UPDATE users SET last_submission_date = ? WHERE id = ?",
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(current_time, user_id)
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)
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-
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# Benchmark management methods
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def add_benchmark(self, name, dataset_id, description="", metrics=None):
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"""Add a new benchmark to the database."""
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if metrics is None:
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metrics = {}
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metrics_json = json.dumps(metrics)
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try:
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"INSERT INTO benchmarks (name, dataset_id, description, metrics) VALUES (?, ?, ?, ?)",
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(name, dataset_id, description, metrics_json)
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)
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return
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except sqlite3.IntegrityError:
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# Benchmark already exists with this dataset_id
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"SELECT id FROM benchmarks WHERE dataset_id = ?",
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(dataset_id,)
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)
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def get_benchmarks(self):
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"""Get all available benchmarks."""
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self.
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# Parse metrics JSON
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for benchmark in benchmarks:
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-
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return benchmarks
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def get_benchmark(self, benchmark_id):
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"""Get benchmark information by ID."""
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self.
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"SELECT * FROM benchmarks WHERE id = ?",
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(benchmark_id,)
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)
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if benchmark:
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benchmark['metrics'] = json.loads(benchmark['metrics'])
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return benchmark
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# Model management methods
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def add_model(self, name, hf_model_id, user_id, tag, parameters=None, description=""):
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"""Add a new model to the database."""
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try:
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-
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"INSERT INTO models (name, hf_model_id, user_id, tag, parameters, description) VALUES (?, ?, ?, ?, ?, ?)",
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(name, hf_model_id, user_id, tag, parameters, description)
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)
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return
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except sqlite3.IntegrityError:
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# Model already exists for this user
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-
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"SELECT id FROM models WHERE hf_model_id = ? AND user_id = ?",
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(hf_model_id, user_id)
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)
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def get_models(self, tag=None):
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"""Get all models, optionally filtered by tag."""
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-
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"SELECT * FROM models WHERE tag = ?",
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(tag,)
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)
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else:
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-
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return [dict(row) for row in
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def get_model(self, model_id):
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"""Get model information by ID."""
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self.
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"SELECT * FROM models WHERE id = ?",
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(model_id,)
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)
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-
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# Evaluation management methods
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def add_evaluation(self, model_id, benchmark_id, priority=0):
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"""Add a new evaluation to the database and queue."""
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# First, add the evaluation
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"INSERT INTO evaluations (model_id, benchmark_id, status) VALUES (?, ?, 'pending')",
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(model_id, benchmark_id)
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)
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evaluation_id =
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# Then, add it to the queue
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"INSERT INTO queue (evaluation_id, priority) VALUES (?, ?)",
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(evaluation_id, priority)
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)
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return evaluation_id
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def update_evaluation_status(self, evaluation_id, status, results=None, score=None):
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"""Update the status of an evaluation."""
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params = [status, evaluation_id]
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sql = "UPDATE evaluations SET status = ?"
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params.insert(1 if results is None else 2, score)
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if status in ['completed', 'failed']:
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sql += ", completed_at =
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sql += " WHERE id = ?"
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# If completed or failed, remove from queue
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if status in ['completed', 'failed']:
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self.cursor.execute(
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"DELETE FROM queue WHERE evaluation_id = ?",
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(evaluation_id,)
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)
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self.conn.commit()
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def get_next_in_queue(self):
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"""Get the next evaluation in the queue."""
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self.
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FROM queue q
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JOIN evaluations e ON q.evaluation_id = e.id
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JOIN models m ON e.model_id = m.id
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JOIN benchmarks b ON e.benchmark_id = b.id
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WHERE e.status = 'pending'
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ORDER BY q.priority DESC, q.added_at ASC
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LIMIT 1
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""")
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-
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return dict(
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def get_evaluation_results(self, model_id=None, benchmark_id=None, tag=None):
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"""Get evaluation results, optionally filtered by model, benchmark, or
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sql = """
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SELECT e.id, e.model_id, e.benchmark_id, e.status, e.results, e.score,
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e.submitted_at, e.completed_at, m.name as model_name, m.tag,
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b.name as benchmark_name
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FROM evaluations e
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JOIN models m ON e.model_id = m.id
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JOIN benchmarks b ON e.benchmark_id = b.id
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WHERE
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"""
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params = []
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if model_id:
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sql += " AND e.model_id = ?"
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params.append(model_id)
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if benchmark_id:
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sql += " AND e.benchmark_id = ?"
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params.append(benchmark_id)
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if tag:
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sql += " AND m.tag = ?"
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params.append(tag)
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sql += " ORDER BY e.
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results = [dict(row) for row in
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# Parse results JSON
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for result in results:
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if result['results']:
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-
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return results
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def get_leaderboard_df(self, tag=None):
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"""Get a pandas DataFrame of the leaderboard, optionally filtered by tag."""
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results = self.get_evaluation_results(tag=tag)
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if not results:
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return pd.DataFrame()
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for result in results:
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entry = {
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'model_name': result['model_name'],
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'model_id': result['model_id'],
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'benchmark_name': result['benchmark_name'],
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'benchmark_id': result['benchmark_id'],
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'tag': result['tag'],
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'score': result['score'],
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'completed_at': result['completed_at']
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}
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# Add
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if result['results'] and isinstance(result['results'], dict):
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for
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if isinstance(value, (int, float)):
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entry[
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leaderboard_data.append(entry)
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-
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# Initialize the database
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def init_db(db_path="dynamic_highscores.db"):
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"""Initialize
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db = DynamicHighscoresDB(db_path)
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return db
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import sqlite3
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import os
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import json
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import threading
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from datetime import datetime, timedelta
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import pandas as pd
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class ThreadLocalDB:
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"""Thread-local database connection manager."""
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_thread_local = threading.local()
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def __init__(self, db_path):
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"""Initialize with database path."""
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self.db_path = db_path
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def get_connection(self):
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"""Get a thread-local database connection."""
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if not hasattr(self._thread_local, 'conn') or self._thread_local.conn is None:
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self._thread_local.conn = sqlite3.connect(self.db_path)
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self._thread_local.conn.row_factory = sqlite3.Row
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return self._thread_local.conn
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def get_cursor(self):
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"""Get a cursor from the thread-local connection."""
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conn = self.get_connection()
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if not hasattr(self._thread_local, 'cursor') or self._thread_local.cursor is None:
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self._thread_local.cursor = conn.cursor()
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return self._thread_local.cursor
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def close(self):
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"""Close the thread-local connection if it exists."""
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if hasattr(self._thread_local, 'conn') and self._thread_local.conn is not None:
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if hasattr(self._thread_local, 'cursor') and self._thread_local.cursor is not None:
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self._thread_local.cursor.close()
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self._thread_local.cursor = None
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self._thread_local.conn.close()
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self._thread_local.conn = None
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class DynamicHighscoresDB:
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"""Database manager for the Dynamic Highscores system."""
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def __init__(self, db_path="dynamic_highscores.db"):
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"""Initialize the database connection and create tables if they don't exist."""
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self.db_path = db_path
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self.thread_local_db = ThreadLocalDB(db_path)
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self.create_tables()
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def get_conn(self):
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"""Get the thread-local database connection."""
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return self.thread_local_db.get_connection()
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def get_cursor(self):
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"""Get the thread-local database cursor."""
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return self.thread_local_db.get_cursor()
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def close(self):
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"""Close the thread-local database connection."""
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self.thread_local_db.close()
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def create_tables(self):
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"""Create all necessary tables if they don't exist."""
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cursor = self.get_cursor()
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conn = self.get_conn()
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# Users table - stores user information
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cursor.execute('''
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CREATE TABLE IF NOT EXISTS users (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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username TEXT UNIQUE NOT NULL,
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''')
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# Benchmarks table - stores information about available benchmarks
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cursor.execute('''
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CREATE TABLE IF NOT EXISTS benchmarks (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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name TEXT NOT NULL,
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''')
|
| 96 |
|
| 97 |
# Models table - stores information about submitted models
|
| 98 |
+
cursor.execute('''
|
| 99 |
CREATE TABLE IF NOT EXISTS models (
|
| 100 |
id INTEGER PRIMARY KEY AUTOINCREMENT,
|
| 101 |
name TEXT NOT NULL,
|
|
|
|
| 111 |
''')
|
| 112 |
|
| 113 |
# Evaluations table - stores evaluation results
|
| 114 |
+
cursor.execute('''
|
| 115 |
CREATE TABLE IF NOT EXISTS evaluations (
|
| 116 |
id INTEGER PRIMARY KEY AUTOINCREMENT,
|
| 117 |
model_id INTEGER NOT NULL,
|
|
|
|
| 120 |
results TEXT, -- JSON string of results
|
| 121 |
score REAL, -- Overall score (can be NULL)
|
| 122 |
submitted_at TEXT DEFAULT CURRENT_TIMESTAMP,
|
| 123 |
+
started_at TEXT,
|
| 124 |
completed_at TEXT,
|
| 125 |
FOREIGN KEY (model_id) REFERENCES models (id),
|
| 126 |
FOREIGN KEY (benchmark_id) REFERENCES benchmarks (id)
|
|
|
|
| 128 |
''')
|
| 129 |
|
| 130 |
# Queue table - stores evaluation queue
|
| 131 |
+
cursor.execute('''
|
| 132 |
CREATE TABLE IF NOT EXISTS queue (
|
| 133 |
id INTEGER PRIMARY KEY AUTOINCREMENT,
|
| 134 |
evaluation_id INTEGER NOT NULL,
|
|
|
|
| 138 |
)
|
| 139 |
''')
|
| 140 |
|
| 141 |
+
conn.commit()
|
| 142 |
|
| 143 |
# User management methods
|
| 144 |
def add_user(self, username, hf_user_id, is_admin=False):
|
| 145 |
"""Add a new user to the database."""
|
| 146 |
+
cursor = self.get_cursor()
|
| 147 |
+
conn = self.get_conn()
|
| 148 |
+
|
| 149 |
try:
|
| 150 |
+
cursor.execute(
|
| 151 |
"INSERT INTO users (username, hf_user_id, is_admin) VALUES (?, ?, ?)",
|
| 152 |
(username, hf_user_id, is_admin)
|
| 153 |
)
|
| 154 |
+
conn.commit()
|
| 155 |
+
return cursor.lastrowid
|
| 156 |
except sqlite3.IntegrityError:
|
| 157 |
# User already exists
|
| 158 |
+
cursor.execute(
|
| 159 |
"SELECT id FROM users WHERE hf_user_id = ?",
|
| 160 |
(hf_user_id,)
|
| 161 |
)
|
| 162 |
+
row = cursor.fetchone()
|
| 163 |
+
return row[0] if row else None
|
| 164 |
|
| 165 |
def get_user(self, hf_user_id):
|
| 166 |
"""Get user information by HuggingFace user ID."""
|
| 167 |
+
cursor = self.get_cursor()
|
| 168 |
+
|
| 169 |
+
cursor.execute(
|
| 170 |
"SELECT * FROM users WHERE hf_user_id = ?",
|
| 171 |
(hf_user_id,)
|
| 172 |
)
|
| 173 |
+
row = cursor.fetchone()
|
| 174 |
+
return dict(row) if row else None
|
| 175 |
|
| 176 |
def can_submit_today(self, user_id):
|
| 177 |
"""Check if a user can submit a benchmark evaluation today."""
|
| 178 |
+
cursor = self.get_cursor()
|
| 179 |
+
|
| 180 |
+
cursor.execute(
|
| 181 |
"SELECT is_admin, last_submission_date FROM users WHERE id = ?",
|
| 182 |
(user_id,)
|
| 183 |
)
|
| 184 |
+
result = cursor.fetchone()
|
| 185 |
|
| 186 |
if not result:
|
| 187 |
return False
|
|
|
|
| 204 |
|
| 205 |
def update_submission_date(self, user_id):
|
| 206 |
"""Update the last submission date for a user."""
|
| 207 |
+
cursor = self.get_cursor()
|
| 208 |
+
conn = self.get_conn()
|
| 209 |
+
|
| 210 |
current_time = datetime.now().isoformat()
|
| 211 |
+
cursor.execute(
|
| 212 |
"UPDATE users SET last_submission_date = ? WHERE id = ?",
|
| 213 |
(current_time, user_id)
|
| 214 |
)
|
| 215 |
+
conn.commit()
|
| 216 |
|
| 217 |
# Benchmark management methods
|
| 218 |
def add_benchmark(self, name, dataset_id, description="", metrics=None):
|
| 219 |
"""Add a new benchmark to the database."""
|
| 220 |
+
cursor = self.get_cursor()
|
| 221 |
+
conn = self.get_conn()
|
| 222 |
+
|
| 223 |
if metrics is None:
|
| 224 |
metrics = {}
|
| 225 |
|
| 226 |
metrics_json = json.dumps(metrics)
|
| 227 |
|
| 228 |
try:
|
| 229 |
+
cursor.execute(
|
| 230 |
"INSERT INTO benchmarks (name, dataset_id, description, metrics) VALUES (?, ?, ?, ?)",
|
| 231 |
(name, dataset_id, description, metrics_json)
|
| 232 |
)
|
| 233 |
+
conn.commit()
|
| 234 |
+
return cursor.lastrowid
|
| 235 |
except sqlite3.IntegrityError:
|
| 236 |
# Benchmark already exists with this dataset_id
|
| 237 |
+
cursor.execute(
|
| 238 |
"SELECT id FROM benchmarks WHERE dataset_id = ?",
|
| 239 |
(dataset_id,)
|
| 240 |
)
|
| 241 |
+
row = cursor.fetchone()
|
| 242 |
+
return row[0] if row else None
|
| 243 |
|
| 244 |
def get_benchmarks(self):
|
| 245 |
"""Get all available benchmarks."""
|
| 246 |
+
cursor = self.get_cursor()
|
| 247 |
+
|
| 248 |
+
cursor.execute("SELECT * FROM benchmarks")
|
| 249 |
+
benchmarks = [dict(row) for row in cursor.fetchall()]
|
| 250 |
|
| 251 |
# Parse metrics JSON
|
| 252 |
for benchmark in benchmarks:
|
| 253 |
+
if benchmark['metrics']:
|
| 254 |
+
benchmark['metrics'] = json.loads(benchmark['metrics'])
|
| 255 |
+
else:
|
| 256 |
+
benchmark['metrics'] = {}
|
| 257 |
|
| 258 |
return benchmarks
|
| 259 |
|
| 260 |
def get_benchmark(self, benchmark_id):
|
| 261 |
"""Get benchmark information by ID."""
|
| 262 |
+
cursor = self.get_cursor()
|
| 263 |
+
|
| 264 |
+
cursor.execute(
|
| 265 |
"SELECT * FROM benchmarks WHERE id = ?",
|
| 266 |
(benchmark_id,)
|
| 267 |
)
|
| 268 |
+
row = cursor.fetchone()
|
| 269 |
+
benchmark = dict(row) if row else None
|
| 270 |
|
| 271 |
+
if benchmark and benchmark['metrics']:
|
| 272 |
benchmark['metrics'] = json.loads(benchmark['metrics'])
|
| 273 |
|
| 274 |
return benchmark
|
|
|
|
| 276 |
# Model management methods
|
| 277 |
def add_model(self, name, hf_model_id, user_id, tag, parameters=None, description=""):
|
| 278 |
"""Add a new model to the database."""
|
| 279 |
+
cursor = self.get_cursor()
|
| 280 |
+
conn = self.get_conn()
|
| 281 |
+
|
| 282 |
try:
|
| 283 |
+
cursor.execute(
|
| 284 |
"INSERT INTO models (name, hf_model_id, user_id, tag, parameters, description) VALUES (?, ?, ?, ?, ?, ?)",
|
| 285 |
(name, hf_model_id, user_id, tag, parameters, description)
|
| 286 |
)
|
| 287 |
+
conn.commit()
|
| 288 |
+
return cursor.lastrowid
|
| 289 |
except sqlite3.IntegrityError:
|
| 290 |
# Model already exists for this user
|
| 291 |
+
cursor.execute(
|
| 292 |
"SELECT id FROM models WHERE hf_model_id = ? AND user_id = ?",
|
| 293 |
(hf_model_id, user_id)
|
| 294 |
)
|
| 295 |
+
row = cursor.fetchone()
|
| 296 |
+
return row[0] if row else None
|
| 297 |
|
| 298 |
def get_models(self, tag=None):
|
| 299 |
"""Get all models, optionally filtered by tag."""
|
| 300 |
+
cursor = self.get_cursor()
|
| 301 |
+
|
| 302 |
+
if tag and tag.lower() != "all":
|
| 303 |
+
cursor.execute(
|
| 304 |
"SELECT * FROM models WHERE tag = ?",
|
| 305 |
(tag,)
|
| 306 |
)
|
| 307 |
else:
|
| 308 |
+
cursor.execute("SELECT * FROM models")
|
| 309 |
|
| 310 |
+
return [dict(row) for row in cursor.fetchall()]
|
| 311 |
|
| 312 |
def get_model(self, model_id):
|
| 313 |
"""Get model information by ID."""
|
| 314 |
+
cursor = self.get_cursor()
|
| 315 |
+
|
| 316 |
+
cursor.execute(
|
| 317 |
"SELECT * FROM models WHERE id = ?",
|
| 318 |
(model_id,)
|
| 319 |
)
|
| 320 |
+
row = cursor.fetchone()
|
| 321 |
+
return dict(row) if row else None
|
| 322 |
|
| 323 |
# Evaluation management methods
|
| 324 |
def add_evaluation(self, model_id, benchmark_id, priority=0):
|
| 325 |
"""Add a new evaluation to the database and queue."""
|
| 326 |
+
cursor = self.get_cursor()
|
| 327 |
+
conn = self.get_conn()
|
| 328 |
+
|
| 329 |
# First, add the evaluation
|
| 330 |
+
cursor.execute(
|
| 331 |
"INSERT INTO evaluations (model_id, benchmark_id, status) VALUES (?, ?, 'pending')",
|
| 332 |
(model_id, benchmark_id)
|
| 333 |
)
|
| 334 |
+
evaluation_id = cursor.lastrowid
|
| 335 |
|
| 336 |
# Then, add it to the queue
|
| 337 |
+
cursor.execute(
|
| 338 |
"INSERT INTO queue (evaluation_id, priority) VALUES (?, ?)",
|
| 339 |
(evaluation_id, priority)
|
| 340 |
)
|
| 341 |
|
| 342 |
+
conn.commit()
|
| 343 |
return evaluation_id
|
| 344 |
|
| 345 |
def update_evaluation_status(self, evaluation_id, status, results=None, score=None):
|
| 346 |
"""Update the status of an evaluation."""
|
| 347 |
+
cursor = self.get_cursor()
|
| 348 |
+
conn = self.get_conn()
|
| 349 |
+
|
| 350 |
params = [status, evaluation_id]
|
| 351 |
sql = "UPDATE evaluations SET status = ?"
|
| 352 |
|
|
|
|
| 359 |
params.insert(1 if results is None else 2, score)
|
| 360 |
|
| 361 |
if status in ['completed', 'failed']:
|
| 362 |
+
sql += ", completed_at = datetime('now')"
|
| 363 |
+
elif status == 'running':
|
| 364 |
+
sql += ", started_at = datetime('now')"
|
| 365 |
|
| 366 |
sql += " WHERE id = ?"
|
| 367 |
|
| 368 |
+
cursor.execute(sql, params)
|
| 369 |
+
conn.commit()
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 370 |
|
| 371 |
def get_next_in_queue(self):
|
| 372 |
"""Get the next evaluation in the queue."""
|
| 373 |
+
cursor = self.get_cursor()
|
| 374 |
+
|
| 375 |
+
cursor.execute("""
|
| 376 |
+
SELECT q.*, e.id as evaluation_id, e.model_id, e.benchmark_id, e.status
|
| 377 |
FROM queue q
|
| 378 |
JOIN evaluations e ON q.evaluation_id = e.id
|
|
|
|
|
|
|
| 379 |
WHERE e.status = 'pending'
|
| 380 |
ORDER BY q.priority DESC, q.added_at ASC
|
| 381 |
LIMIT 1
|
| 382 |
""")
|
| 383 |
|
| 384 |
+
row = cursor.fetchone()
|
| 385 |
+
return dict(row) if row else None
|
| 386 |
|
| 387 |
+
def get_evaluation_results(self, model_id=None, benchmark_id=None, tag=None, status=None, limit=None):
|
| 388 |
+
"""Get evaluation results, optionally filtered by model, benchmark, tag, or status."""
|
| 389 |
+
cursor = self.get_cursor()
|
| 390 |
+
|
| 391 |
sql = """
|
| 392 |
SELECT e.id, e.model_id, e.benchmark_id, e.status, e.results, e.score,
|
| 393 |
+
e.submitted_at, e.started_at, e.completed_at, m.name as model_name, m.tag,
|
| 394 |
b.name as benchmark_name
|
| 395 |
FROM evaluations e
|
| 396 |
JOIN models m ON e.model_id = m.id
|
| 397 |
JOIN benchmarks b ON e.benchmark_id = b.id
|
| 398 |
+
WHERE 1=1
|
| 399 |
"""
|
| 400 |
|
| 401 |
params = []
|
| 402 |
|
| 403 |
+
if status:
|
| 404 |
+
sql += " AND e.status = ?"
|
| 405 |
+
params.append(status)
|
| 406 |
+
|
| 407 |
if model_id:
|
| 408 |
sql += " AND e.model_id = ?"
|
| 409 |
params.append(model_id)
|
| 410 |
|
| 411 |
+
if benchmark_id and benchmark_id != "all" and benchmark_id.lower() != "all":
|
| 412 |
sql += " AND e.benchmark_id = ?"
|
| 413 |
params.append(benchmark_id)
|
| 414 |
|
| 415 |
+
if tag and tag.lower() != "all":
|
| 416 |
sql += " AND m.tag = ?"
|
| 417 |
params.append(tag)
|
| 418 |
|
| 419 |
+
sql += " ORDER BY e.submitted_at DESC"
|
| 420 |
+
|
| 421 |
+
if limit:
|
| 422 |
+
sql += " LIMIT ?"
|
| 423 |
+
params.append(limit)
|
| 424 |
|
| 425 |
+
cursor.execute(sql, params)
|
| 426 |
+
results = [dict(row) for row in cursor.fetchall()]
|
| 427 |
|
| 428 |
# Parse results JSON
|
| 429 |
for result in results:
|
| 430 |
if result['results']:
|
| 431 |
+
try:
|
| 432 |
+
result['results'] = json.loads(result['results'])
|
| 433 |
+
except:
|
| 434 |
+
result['results'] = {}
|
| 435 |
|
| 436 |
return results
|
| 437 |
|
| 438 |
+
def get_leaderboard_df(self, tag=None, benchmark_id=None):
|
| 439 |
+
"""Get a pandas DataFrame of the leaderboard, optionally filtered by tag and benchmark."""
|
| 440 |
+
results = self.get_evaluation_results(tag=tag, benchmark_id=benchmark_id, status="completed")
|
| 441 |
|
| 442 |
if not results:
|
| 443 |
return pd.DataFrame()
|
|
|
|
| 448 |
for result in results:
|
| 449 |
entry = {
|
| 450 |
'model_name': result['model_name'],
|
|
|
|
|
|
|
|
|
|
| 451 |
'tag': result['tag'],
|
| 452 |
+
'benchmark_name': result['benchmark_name'],
|
| 453 |
'score': result['score'],
|
| 454 |
'completed_at': result['completed_at']
|
| 455 |
}
|
| 456 |
|
| 457 |
+
# Add any additional metrics from results
|
| 458 |
if result['results'] and isinstance(result['results'], dict):
|
| 459 |
+
for key, value in result['results'].items():
|
| 460 |
+
if isinstance(value, (int, float)) and key not in entry:
|
| 461 |
+
entry[key] = value
|
| 462 |
|
| 463 |
leaderboard_data.append(entry)
|
| 464 |
|
| 465 |
+
# Convert to DataFrame
|
| 466 |
+
df = pd.DataFrame(leaderboard_data)
|
| 467 |
+
|
| 468 |
+
# Sort by score (descending)
|
| 469 |
+
if not df.empty and 'score' in df.columns:
|
| 470 |
+
df = df.sort_values('score', ascending=False)
|
| 471 |
+
|
| 472 |
+
return df
|
| 473 |
|
|
|
|
| 474 |
def init_db(db_path="dynamic_highscores.db"):
|
| 475 |
+
"""Initialize and return the database manager."""
|
| 476 |
db = DynamicHighscoresDB(db_path)
|
| 477 |
+
return db
|