Spaces:
Running
on
CPU Upgrade
Running
on
CPU Upgrade
alozowski
commited on
Commit
•
cdaca77
1
Parent(s):
051fb0a
conditionally refresh leaderboard during space restart
Browse files
app.py
CHANGED
@@ -60,8 +60,14 @@ NEW_DATA_ON_LEADERBOARD = True
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LEADERBOARD_DF = None
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def restart_space():
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try:
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-
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API.restart_space(repo_id=REPO_ID, token=HF_TOKEN)
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logging.info("Space restarted successfully.")
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except Exception as e:
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@@ -107,23 +113,31 @@ def get_latest_data_leaderboard(leaderboard_initial_df=None):
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global NEW_DATA_ON_LEADERBOARD
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global LEADERBOARD_DF
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if NEW_DATA_ON_LEADERBOARD:
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NEW_DATA_ON_LEADERBOARD = False
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else:
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LEADERBOARD_DF = leaderboard_initial_df
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return LEADERBOARD_DF
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@@ -450,25 +464,16 @@ webhooks_server = enable_space_ci_and_return_server(ui=main_block)
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# Add webhooks
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@webhooks_server.add_webhook
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def update_leaderboard(payload: WebhookPayload) -> None:
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"""Redownloads the leaderboard dataset each time it updates
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if payload.repo.type == "dataset" and payload.event.action == "update":
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global NEW_DATA_ON_LEADERBOARD
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if NEW_DATA_ON_LEADERBOARD:
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logging.info("Leaderboard data is already marked for update, skipping...")
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return
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logging.info("New data detected, downloading updated leaderboard dataset.")
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NEW_DATA_ON_LEADERBOARD = True
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#
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AGGREGATED_REPO,
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"default",
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split="train",
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cache_dir=HF_HOME,
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download_mode=datasets.DownloadMode.FORCE_REDOWNLOAD,
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verification_mode="no_checks"
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)
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logging.info("Leaderboard dataset successfully downloaded.")
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# The below code is not used at the moment, as we can manage the queue file locally
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LAST_UPDATE_QUEUE = datetime.datetime.now()
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LEADERBOARD_DF = None
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def restart_space():
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logging.info(f"Restarting space with repo ID: {REPO_ID}")
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try:
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# Check if new data is pending and download if necessary
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if NEW_DATA_ON_LEADERBOARD:
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logging.info("Fetching latest leaderboard data before restart.")
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get_latest_data_leaderboard()
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# Now restart the space
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API.restart_space(repo_id=REPO_ID, token=HF_TOKEN)
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logging.info("Space restarted successfully.")
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except Exception as e:
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global NEW_DATA_ON_LEADERBOARD
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global LEADERBOARD_DF
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if NEW_DATA_ON_LEADERBOARD:
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logging.info("Leaderboard updated at reload!")
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try:
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leaderboard_dataset = datasets.load_dataset(
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AGGREGATED_REPO,
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"default",
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split="train",
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cache_dir=HF_HOME,
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download_mode=datasets.DownloadMode.FORCE_REDOWNLOAD, # Always download fresh data
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verification_mode="no_checks"
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)
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LEADERBOARD_DF = get_leaderboard_df(
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leaderboard_dataset=leaderboard_dataset,
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cols=COLS,
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benchmark_cols=BENCHMARK_COLS,
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)
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logging.info("Leaderboard dataset successfully downloaded.")
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except Exception as e:
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logging.error(f"Failed to download leaderboard dataset: {e}")
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return
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# Reset the flag after successful download
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NEW_DATA_ON_LEADERBOARD = False
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else:
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LEADERBOARD_DF = leaderboard_initial_df
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logging.info("Using cached leaderboard dataset.")
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return LEADERBOARD_DF
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# Add webhooks
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@webhooks_server.add_webhook
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def update_leaderboard(payload: WebhookPayload) -> None:
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"""Redownloads the leaderboard dataset each time it updates"""
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if payload.repo.type == "dataset" and payload.event.action == "update":
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global NEW_DATA_ON_LEADERBOARD
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logging.info("New data detected, downloading updated leaderboard dataset.")
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# Mark the flag for new data
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NEW_DATA_ON_LEADERBOARD = True
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# Now actually download the latest data immediately
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get_latest_data_leaderboard()
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# The below code is not used at the moment, as we can manage the queue file locally
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LAST_UPDATE_QUEUE = datetime.datetime.now()
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