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json_normalize(response_sub.get('data')) logging.debug("Schema from API before formatting :\n%s", new_df.dtypes) - + pd.set_option('display.max_columns', None) + logging.debug("head: :\n%s", new_df.head()) new_df['timestamp'] = pd.to_datetime(new_df['start'], unit='s', utc=True) logging.debug("setting timestamp") new_df.drop('start', axis=1, inplace=True) diff --git a/quotaclimat/data_processing/mediatree/detect_keywords.py b/quotaclimat/data_processing/mediatree/detect_keywords.py index cbba292c..fd85104e 100644 --- a/quotaclimat/data_processing/mediatree/detect_keywords.py +++ b/quotaclimat/data_processing/mediatree/detect_keywords.py @@ -269,7 +269,7 @@ def add_primary_key(df): df["start"].astype(str) + df["channel_name"] ).apply(get_consistent_hash) except (Exception) as error: - logging.error(error) + logging.error(f"{error} with df {df.head()}") return get_consistent_hash("empty") # TODO improve - should be a None ? def filter_indirect_words(keywords_with_timestamp: List[dict]) 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