Spaces:
Running
on
CPU Upgrade
Running
on
CPU Upgrade
Alina Lozovskaia
commited on
Commit
·
d131b6c
1
Parent(s):
b202e95
collection update only happens on full initialization
Browse files
app.py
CHANGED
|
@@ -82,10 +82,12 @@ def download_dataset(repo_id, local_dir, repo_type="dataset", max_attempts=3):
|
|
| 82 |
def init_space(full_init: bool = True):
|
| 83 |
"""Initializes the application space, loading only necessary data."""
|
| 84 |
if full_init:
|
|
|
|
| 85 |
download_dataset(QUEUE_REPO, EVAL_REQUESTS_PATH)
|
| 86 |
download_dataset(DYNAMIC_INFO_REPO, DYNAMIC_INFO_PATH)
|
| 87 |
download_dataset(RESULTS_REPO, EVAL_RESULTS_PATH)
|
| 88 |
|
|
|
|
| 89 |
raw_data, original_df = get_leaderboard_df(
|
| 90 |
results_path=EVAL_RESULTS_PATH,
|
| 91 |
requests_path=EVAL_REQUESTS_PATH,
|
|
@@ -93,14 +95,18 @@ def init_space(full_init: bool = True):
|
|
| 93 |
cols=COLS,
|
| 94 |
benchmark_cols=BENCHMARK_COLS,
|
| 95 |
)
|
| 96 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
| 97 |
leaderboard_df = original_df.copy()
|
| 98 |
|
|
|
|
| 99 |
eval_queue_dfs = get_evaluation_queue_df(EVAL_REQUESTS_PATH, EVAL_COLS)
|
| 100 |
|
| 101 |
return leaderboard_df, raw_data, original_df, eval_queue_dfs
|
| 102 |
|
| 103 |
-
|
| 104 |
# Convert the environment variable "LEADERBOARD_FULL_INIT" to a boolean value, defaulting to True if the variable is not set.
|
| 105 |
# This controls whether a full initialization should be performed.
|
| 106 |
do_full_init = os.getenv("LEADERBOARD_FULL_INIT", "True") == "True"
|
|
|
|
| 82 |
def init_space(full_init: bool = True):
|
| 83 |
"""Initializes the application space, loading only necessary data."""
|
| 84 |
if full_init:
|
| 85 |
+
# These downloads only occur on full initialization
|
| 86 |
download_dataset(QUEUE_REPO, EVAL_REQUESTS_PATH)
|
| 87 |
download_dataset(DYNAMIC_INFO_REPO, DYNAMIC_INFO_PATH)
|
| 88 |
download_dataset(RESULTS_REPO, EVAL_RESULTS_PATH)
|
| 89 |
|
| 90 |
+
# Always retrieve the leaderboard DataFrame
|
| 91 |
raw_data, original_df = get_leaderboard_df(
|
| 92 |
results_path=EVAL_RESULTS_PATH,
|
| 93 |
requests_path=EVAL_REQUESTS_PATH,
|
|
|
|
| 95 |
cols=COLS,
|
| 96 |
benchmark_cols=BENCHMARK_COLS,
|
| 97 |
)
|
| 98 |
+
|
| 99 |
+
if full_init:
|
| 100 |
+
# Collection update only happens on full initialization
|
| 101 |
+
update_collections(original_df)
|
| 102 |
+
|
| 103 |
leaderboard_df = original_df.copy()
|
| 104 |
|
| 105 |
+
# Evaluation queue DataFrame retrieval is independent of initialization detail level
|
| 106 |
eval_queue_dfs = get_evaluation_queue_df(EVAL_REQUESTS_PATH, EVAL_COLS)
|
| 107 |
|
| 108 |
return leaderboard_df, raw_data, original_df, eval_queue_dfs
|
| 109 |
|
|
|
|
| 110 |
# Convert the environment variable "LEADERBOARD_FULL_INIT" to a boolean value, defaulting to True if the variable is not set.
|
| 111 |
# This controls whether a full initialization should be performed.
|
| 112 |
do_full_init = os.getenv("LEADERBOARD_FULL_INIT", "True") == "True"
|