Spaces:
Running
Running
Refactoring
Browse files
server.py
CHANGED
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@@ -3,6 +3,7 @@ import glob
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import json
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import os
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import hashlib
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import gradio as gr
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import pandas as pd
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@@ -68,17 +69,17 @@ class LeaderboardServer:
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self.submission_id_to_file[submission_id] = submission_file
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def get_leaderboard(self, tournament_results=None):
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-
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if len(
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return pd.DataFrame(columns=['No submissions yet'])
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else:
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processed_results = []
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for submission_id in
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path = self.submission_id_to_file.get(submission_id)
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if path is None:
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if self.pre_submit and submission_id == self.pre_submit
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data = json.load(open(self.pre_submit
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else:
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raise gr.Error(f"Internal error: Submission [{submission_id}] not found")
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elif path:
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@@ -91,10 +92,13 @@ class LeaderboardServer:
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local_results = {}
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for task in self.tasks_metadata.keys():
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local_results[task] = 0
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for
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if
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local_results[task] += 1
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for metric in VISIBLE_METRICS:
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metric_value = data['results'][task].get(metric)
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if metric_value is not None:
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@@ -102,7 +106,7 @@ class LeaderboardServer:
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local_results["submission_id"] = submission_id
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if self.pre_submit and submission_id == self.pre_submit
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processed_results.insert(0, local_results)
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else:
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processed_results.append(local_results)
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@@ -129,20 +133,20 @@ class LeaderboardServer:
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task: False for task in self.tasks_metadata.keys()
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}
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for
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res = check_significance(new_model_file, self.submission_id_to_file[
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res_inverse = check_significance(self.submission_id_to_file[
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new_tournament[new_submission_id][
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task: data["significant"] for task, data in res.items()
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}
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new_tournament[
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task: data["significant"] for task, data in res_inverse.items()
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}
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return new_tournament
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@staticmethod
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def create_submission_id(metadata):
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# Délka ID
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submission_id = "_".join([metadata[key][:7] for key in (
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"team_name",
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"model_name",
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@@ -161,7 +165,9 @@ class LeaderboardServer:
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).encode()
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result = hashlib.sha256(data).hexdigest()
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return result
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-
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def prepare_model_for_submission(self, file, metadata) -> None:
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with open(file, "r") as f:
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data = json.load(f)
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@@ -179,7 +185,7 @@ class LeaderboardServer:
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json.dump(data, f, separators=(',', ':')) # compact JSON
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tournament_results = self.start_tournament(submission_id, file)
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self.pre_submit = tournament_results, submission_id, file
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def save_pre_submit(self):
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if self.pre_submit:
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import json
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import os
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import hashlib
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from collections import namedtuple
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import gradio as gr
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import pandas as pd
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self.submission_id_to_file[submission_id] = submission_file
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def get_leaderboard(self, tournament_results=None):
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tournament_results = tournament_results if tournament_results else self.tournament_results
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if len(tournament_results) == 0:
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return pd.DataFrame(columns=['No submissions yet'])
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else:
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processed_results = []
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for submission_id in tournament_results.keys():
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path = self.submission_id_to_file.get(submission_id)
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if path is None:
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if self.pre_submit and submission_id == self.pre_submit.submission_id:
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data = json.load(open(self.pre_submit.file))
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else:
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raise gr.Error(f"Internal error: Submission [{submission_id}] not found")
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elif path:
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local_results = {}
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for task in self.tasks_metadata.keys():
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# tournament_results
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local_results[task] = 0
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for competitor_id in tournament_results[submission_id].keys():
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if tournament_results[submission_id][competitor_id][task]:
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local_results[task] += 1
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for metric in VISIBLE_METRICS:
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metric_value = data['results'][task].get(metric)
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if metric_value is not None:
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local_results["submission_id"] = submission_id
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if self.pre_submit and submission_id == self.pre_submit.submission_id:
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processed_results.insert(0, local_results)
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else:
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processed_results.append(local_results)
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task: False for task in self.tasks_metadata.keys()
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}
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for competitor_id in self.submission_ids:
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res = check_significance(new_model_file, self.submission_id_to_file[competitor_id])
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res_inverse = check_significance(self.submission_id_to_file[competitor_id], new_model_file)
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new_tournament[new_submission_id][competitor_id] = {
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task: data["significant"] for task, data in res.items()
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}
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new_tournament[competitor_id][new_submission_id] = {
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task: data["significant"] for task, data in res_inverse.items()
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}
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return new_tournament
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@staticmethod
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def create_submission_id(metadata):
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# Délka ID musí být omezena, protože se používá v názvu souboru
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submission_id = "_".join([metadata[key][:7] for key in (
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"team_name",
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"model_name",
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).encode()
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result = hashlib.sha256(data).hexdigest()
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return result
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PreSubmit = namedtuple('PreSubmit', 'tournament_results, submission_id, file')
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def prepare_model_for_submission(self, file, metadata) -> None:
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with open(file, "r") as f:
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data = json.load(f)
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json.dump(data, f, separators=(',', ':')) # compact JSON
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tournament_results = self.start_tournament(submission_id, file)
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self.pre_submit = self.PreSubmit(tournament_results, submission_id, file)
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def save_pre_submit(self):
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if self.pre_submit:
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