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Home Page: https://docs.timescale.com/timescaledb/latest/tutorials/analyze-nft-data/
Timescale NFT Starter Kit
Home Page: https://docs.timescale.com/timescaledb/latest/tutorials/analyze-nft-data/
Hi.
I'm new and starting to set up the nft-starter-kit.
After following all steps of the tutorial im heading towards the dashboard and my data isn't loading.
Im having the following error "Error loading chart datasources. Filters may not work correctly." I haven't set any filters so I think thats not the problem.
Thanks,
mmm
Followed the instructions, got the db connected. When running opensea_ingest.py i'm seeing
Fetching transactions from OpenSea...
None
Request blocked... retrying...
outputted in console... I realized now I dont have an OpenSea API key. Is this why?
Hello and thank you for the amazing work you have put together.
I'm currently having some issues with some charts not showing and seeing some errors in the terminal.
nft-starter-kit_1 | The field
timeseries_limit
is deprecated, please useseries_limit
instead.
nft-starter-kit_1 | 2022-01-13 16:09:12,392:WARNING:superset.common.query_object:The fieldtimeseries_limit
is deprecated, please useseries_limit
instead.
nft-starter-kit_1 | 2022-01-13 16:09:13,335:INFO:werkzeug:172.20.0.1 - - [13/Jan/2022 16:09:13] "POST /superset/log/?explode=events&dashboard_id=2 HTTP/1.1" 200 -
nft-starter-kit_1 | Query SELECT bucket AS __timestamp,
nft-starter-kit_1 | asset_id AS asset_id,
nft-starter-kit_1 | asset_name AS asset_name,
nft-starter-kit_1 | max(volume_eth) AS "MAX(volume_eth)"
nft-starter-kit_1 | FROM public.superset_assets_daily
nft-starter-kit_1 | GROUP BY asset_id,
nft-starter-kit_1 | asset_name,
nft-starter-kit_1 | bucket
nft-starter-kit_1 | ORDER BY "MAX(volume_eth)" DESC
nft-starter-kit_1 | LIMIT 50000 on schema public failed
nft-starter-kit_1 | Traceback (most recent call last):
nft-starter-kit_1 | File "/app/superset/connectors/sqla/models.py", line 1601, in query
nft-starter-kit_1 | df = self.database.get_df(sql, self.schema, mutator=assign_column_label)
nft-starter-kit_1 | File "/app/superset/models/core.py", line 431, in get_df
nft-starter-kit_1 | df = result_set.to_pandas_df()
nft-starter-kit_1 | File "/app/superset/result_set.py", line 202, in to_pandas_df
nft-starter-kit_1 | return self.convert_table_to_df(self.table)
nft-starter-kit_1 | File "/app/superset/result_set.py", line 177, in convert_table_to_df
nft-starter-kit_1 | return table.to_pandas(integer_object_nulls=True)
nft-starter-kit_1 | File "pyarrow/array.pxi", line 757, in pyarrow.lib._PandasConvertible.to_pandas
nft-starter-kit_1 | File "pyarrow/table.pxi", line 1748, in pyarrow.lib.Table._to_pandas
nft-starter-kit_1 | File "/usr/local/lib/python3.8/site-packages/pyarrow/pandas_compat.py", line 789, in table_to_blockmanager
nft-starter-kit_1 | blocks = _table_to_blocks(options, table, categories, ext_columns_dtypes)
nft-starter-kit_1 | File "/usr/local/lib/python3.8/site-packages/pyarrow/pandas_compat.py", line 1130, in _table_to_blocks
nft-starter-kit_1 | return [_reconstruct_block(item, columns, extension_columns)
nft-starter-kit_1 | File "/usr/local/lib/python3.8/site-packages/pyarrow/pandas_compat.py", line 1130, in
nft-starter-kit_1 | return [_reconstruct_block(item, columns, extension_columns)
nft-starter-kit_1 | File "/usr/local/lib/python3.8/site-packages/pyarrow/pandas_compat.py", line 733, in _reconstruct_block
nft-starter-kit_1 | dtype = make_datetimetz(item['timezone'])
nft-starter-kit_1 | File "/usr/local/lib/python3.8/site-packages/pyarrow/pandas_compat.py", line 758, in make_datetimetz
nft-starter-kit_1 | tz = pa.lib.string_to_tzinfo(tz)
nft-starter-kit_1 | File "pyarrow/types.pxi", line 1927, in pyarrow.lib.string_to_tzinfo
nft-starter-kit_1 | File "pyarrow/error.pxi", line 143, in pyarrow.lib.pyarrow_internal_check_status
nft-starter-kit_1 | File "/usr/local/lib/python3.8/site-packages/pytz/init.py", line 188, in timezone
nft-starter-kit_1 | raise UnknownTimeZoneError(zone)
nft-starter-kit_1 | pytz.exceptions.UnknownTimeZoneError: '+00'
nft-starter-kit_1 | 2022-01-13 16:09:14,511:WARNING:superset.connectors.sqla.models:Query SELECT bucket AS __timestamp,
nft-starter-kit_1 | asset_id AS asset_id,
nft-starter-kit_1 | asset_name AS asset_name,
nft-starter-kit_1 | max(volume_eth) AS "MAX(volume_eth)"
nft-starter-kit_1 | FROM public.superset_assets_daily
nft-starter-kit_1 | GROUP BY asset_id,
nft-starter-kit_1 | asset_name,
nft-starter-kit_1 | bucket
nft-starter-kit_1 | ORDER BY "MAX(volume_eth)" DESC
nft-starter-kit_1 | LIMIT 50000 on schema public failed
nft-starter-kit_1 | Traceback (most recent call last):
nft-starter-kit_1 | File "/app/superset/connectors/sqla/models.py", line 1601, in query
nft-starter-kit_1 | df = self.database.get_df(sql, self.schema, mutator=assign_column_label)
nft-starter-kit_1 | File "/app/superset/models/core.py", line 431, in get_df
nft-starter-kit_1 | df = result_set.to_pandas_df()
nft-starter-kit_1 | File "/app/superset/result_set.py", line 202, in to_pandas_df
nft-starter-kit_1 | return self.convert_table_to_df(self.table)
nft-starter-kit_1 | File "/app/superset/result_set.py", line 177, in convert_table_to_df
nft-starter-kit_1 | return table.to_pandas(integer_object_nulls=True)
nft-starter-kit_1 | File "pyarrow/array.pxi", line 757, in pyarrow.lib._PandasConvertible.to_pandas
nft-starter-kit_1 | File "pyarrow/table.pxi", line 1748, in pyarrow.lib.Table._to_pandas
nft-starter-kit_1 | File "/usr/local/lib/python3.8/site-packages/pyarrow/pandas_compat.py", line 789, in table_to_blockmanager
nft-starter-kit_1 | blocks = _table_to_blocks(options, table, categories, ext_columns_dtypes)
nft-starter-kit_1 | File "/usr/local/lib/python3.8/site-packages/pyarrow/pandas_compat.py", line 1130, in _table_to_blocks
nft-starter-kit_1 | return [_reconstruct_block(item, columns, extension_columns)
nft-starter-kit_1 | File "/usr/local/lib/python3.8/site-packages/pyarrow/pandas_compat.py", line 1130, in
nft-starter-kit_1 | return [_reconstruct_block(item, columns, extension_columns)
nft-starter-kit_1 | File "/usr/local/lib/python3.8/site-packages/pyarrow/pandas_compat.py", line 733, in _reconstruct_block
nft-starter-kit_1 | dtype = make_datetimetz(item['timezone'])
nft-starter-kit_1 | File "/usr/local/lib/python3.8/site-packages/pyarrow/pandas_compat.py", line 758, in make_datetimetz
nft-starter-kit_1 | tz = pa.lib.string_to_tzinfo(tz)
nft-starter-kit_1 | File "pyarrow/types.pxi", line 1927, in pyarrow.lib.string_to_tzinfo
nft-starter-kit_1 | File "pyarrow/error.pxi", line 143, in pyarrow.lib.pyarrow_internal_check_status
nft-starter-kit_1 | File "/usr/local/lib/python3.8/site-packages/pytz/init.py", line 188, in timezone
nft-starter-kit_1 | raise UnknownTimeZoneError(zone)
nft-starter-kit_1 | pytz.exceptions.UnknownTimeZoneError: '+00'
nft-starter-kit_1 | 2022-01-13 16:09:14,530:INFO:werkzeug:172.20.0.1 - - [13/Jan/2022 16:09:14] "POST /api/v1/chart/data?form_data=%7B%22slice_id%22%3A10%7D&dashboard_id=2&force=true HTTP/1.1" 400 -
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