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Running
CSV have to use different dataframe without Markdown and HTML
Browse files
server.py
CHANGED
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@@ -218,7 +218,7 @@ class LeaderboardServer:
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self.tournament_dataframes = tournament_dataframes
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leaderboard_dataframes_csv = {
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category: self._dataframe_to_csv(self.
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for category in categories
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}
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@@ -226,7 +226,7 @@ class LeaderboardServer:
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tournament_dataframes_csv = {
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submission_id: {
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category: self._dataframe_to_csv(
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self.
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f"Tournament table - {self.submission_id_to_data[submission_id]['metadata']['model_name'][:self.MAX_LENGTH_OF_MODEL_TITLE]} - {category}.csv",
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)
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for category in sorted(self.TASKS_CATEGORIES)
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@@ -378,7 +378,7 @@ class LeaderboardServer:
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with self.var_lock.ro:
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return copy.copy(self.tournament_dataframes[submission_id][category])
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def _get_model_tournament_table(self, submission_id, category):
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if category == self.TASKS_CATEGORY_OVERALL:
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return None
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@@ -392,19 +392,26 @@ class LeaderboardServer:
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for task in self.tournament_results[submission_id][competitor_id]:
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task_category = self.TASKS_METADATA[task]["category"]
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if task_category == category:
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model_link = data["metadata"]["link_to_model"]
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model_title = data["metadata"]["team_name"] + "/" + data["metadata"]["model_name"]
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model_tournament_table.append(match_results)
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@@ -412,9 +419,11 @@ class LeaderboardServer:
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extra_attributes_map_word_to_header = {
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"model": "Competitor",
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}
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first_attributes = [
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"model",
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]
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df_order = [
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key
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@@ -433,7 +442,8 @@ class LeaderboardServer:
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dataframe = dataframe.rename(
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columns=attributes_map_word_to_header
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)
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return dataframe
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def _dataframe_to_csv(self, dataframe, filename):
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@@ -444,7 +454,7 @@ class LeaderboardServer:
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pass
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filepath = os.path.join(self.DIR_DATAFRAMES_CSV, filename)
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dataframe.to_csv(filepath)
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return filepath
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def get_leaderboard_csv(self, category=None):
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@@ -460,7 +470,7 @@ class LeaderboardServer:
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else:
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return self._get_leaderboard(pre_submit=pre_submit, category=category)
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def _get_leaderboard(self, pre_submit=None, category=None):
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with self.var_lock.ro:
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tournament_results = pre_submit.tournament_results if pre_submit else self.tournament_results
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category = category if category else self.TASKS_CATEGORY_OVERALL
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@@ -522,10 +532,15 @@ class LeaderboardServer:
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model_link = data["metadata"]["link_to_model"]
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model_title = data["metadata"]["team_name"] + "/" + data["metadata"]["model_name"]
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release = data["metadata"].get("submission_timestamp")
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release = time.strftime("%Y-%m-%d", time.gmtime(release)) if release else "N/A"
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local_results["release"] = release
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@@ -549,10 +564,11 @@ class LeaderboardServer:
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"input_length": "Input length (# tokens)",
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"precision": "Precision",
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"description": "Description",
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"link_to_model": "Link to model"
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}
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first_attributes = [
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"model",
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"release",
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"model_type",
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"parameters",
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self.tournament_dataframes = tournament_dataframes
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leaderboard_dataframes_csv = {
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category: self._dataframe_to_csv(self._get_leaderboard(category=category, to_csv=True), f"Leaderboard - {category}.csv")
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for category in categories
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}
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tournament_dataframes_csv = {
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submission_id: {
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category: self._dataframe_to_csv(
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self._get_model_tournament_table(submission_id, category, to_csv=True),
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f"Tournament table - {self.submission_id_to_data[submission_id]['metadata']['model_name'][:self.MAX_LENGTH_OF_MODEL_TITLE]} - {category}.csv",
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)
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for category in sorted(self.TASKS_CATEGORIES)
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with self.var_lock.ro:
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return copy.copy(self.tournament_dataframes[submission_id][category])
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def _get_model_tournament_table(self, submission_id, category, to_csv=False):
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if category == self.TASKS_CATEGORY_OVERALL:
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return None
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for task in self.tournament_results[submission_id][competitor_id]:
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task_category = self.TASKS_METADATA[task]["category"]
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if task_category == category:
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if to_csv:
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match_results[task] = self.tournament_results[submission_id][competitor_id][task]
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else:
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match_task_result_details = dict.fromkeys(["significant", "p_value"]) # order has impact to sorting DataFrame
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match_task_result_details.update(copy.deepcopy(self.tournament_results[submission_id][competitor_id][task]))
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match_task_result_details["significant"] = str(match_task_result_details["significant"]).lower() # originaly bool
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match_task_result_significant = match_task_result_details["significant"]
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match_task_result_details = "\n".join(f"{k}: {v}" for k, v in match_task_result_details.items())
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match_results[task] = f'<abbr title={xmlQuoteAttr(match_task_result_details)}>{match_task_result_significant}</abbr>'
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model_link = data["metadata"]["link_to_model"]
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model_title = data["metadata"]["team_name"] + "/" + data["metadata"]["model_name"]
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if to_csv:
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match_results["model"] = model_title
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match_results["link_to_model"] = model_link
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else:
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model_title_abbr_team_name = self.abbreviate(data["metadata"]["team_name"], self.MAX_LENGTH_OF_MODEL_TITLE)
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model_title_abbr_model_name = self.abbreviate(data["metadata"]["model_name"], self.MAX_LENGTH_OF_MODEL_TITLE)
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model_title_abbr_html = f'<div style="font-size: 10px;">{xmlAndMarkdownEscape(model_title_abbr_team_name)}</div>{xmlAndMarkdownEscape(model_title_abbr_model_name)}'
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match_results["model"] = f'<a href={xmlQuoteAttr(model_link)} title={xmlQuoteAttr(model_title)}>{model_title_abbr_html}</a>'
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model_tournament_table.append(match_results)
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extra_attributes_map_word_to_header = {
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"model": "Competitor",
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"link_to_model": "Link to model",
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}
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first_attributes = [
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"model",
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"link_to_model",
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]
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df_order = [
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key
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dataframe = dataframe.rename(
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columns=attributes_map_word_to_header
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)
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if not to_csv:
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dataframe = dataframe.style.apply(self._model_tournament_table_highlight_true_and_false, axis=None)
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return dataframe
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def _dataframe_to_csv(self, dataframe, filename):
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pass
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filepath = os.path.join(self.DIR_DATAFRAMES_CSV, filename)
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dataframe.to_csv(filepath, index=False)
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return filepath
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def get_leaderboard_csv(self, category=None):
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else:
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return self._get_leaderboard(pre_submit=pre_submit, category=category)
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def _get_leaderboard(self, pre_submit=None, category=None, to_csv=False):
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with self.var_lock.ro:
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tournament_results = pre_submit.tournament_results if pre_submit else self.tournament_results
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category = category if category else self.TASKS_CATEGORY_OVERALL
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model_link = data["metadata"]["link_to_model"]
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model_title = data["metadata"]["team_name"] + "/" + data["metadata"]["model_name"]
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if to_csv:
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local_results["model"] = model_title
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local_results["link_to_model"] = model_link
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else:
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model_title_abbr_team_name = self.abbreviate(data["metadata"]["team_name"], self.MAX_LENGTH_OF_MODEL_TITLE)
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model_title_abbr_model_name = self.abbreviate(data["metadata"]["model_name"], self.MAX_LENGTH_OF_MODEL_TITLE)
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model_title_abbr_html = f'<div style="font-size: 10px;">{xmlAndMarkdownEscape(model_title_abbr_team_name)}</div>{xmlAndMarkdownEscape(model_title_abbr_model_name)}'
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local_results["model"] = f'<a href={xmlQuoteAttr(model_link)} title={xmlQuoteAttr(model_title)}>{model_title_abbr_html}</a>'
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release = data["metadata"].get("submission_timestamp")
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release = time.strftime("%Y-%m-%d", time.gmtime(release)) if release else "N/A"
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local_results["release"] = release
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"input_length": "Input length (# tokens)",
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"precision": "Precision",
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"description": "Description",
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"link_to_model": "Link to model",
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}
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first_attributes = [
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"model",
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"link_to_model",
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"release",
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"model_type",
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"parameters",
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