update hic cmd and ensemble timeseriesgroupids

[barisoztas]

Closes #70

Allowed list to publish -> https://hicws.vlaanderen.be/Manual_for_the_use_of_webservices_HIC.pdf

Can be prepared again ->

import sys
import pandas as pd
from pywaterinfo import Waterinfo
cmd_allowed_tsgroupids = [
    156169,
    156170,
    156171,
    512458,
    354718,
    515316,
    350099,
    260592,
    156159,
    156172,
    156173,
    156166,
    156167,
    156191,
    156190,
    156168,
    421208,
    156188,
    156158,
    156199,
    156202,
    156162,
    156163,
    156165,
    510205,
    510207,
    156164,
    156200,
    156207,
    156208,
    156197    
]

ensemble_allowed_tsgroupids = [
    432821,
    506057,
    506059,
    506060,
    506061,
    506056,
    506058,
]

hic = Waterinfo('hic', cache=True)

# Get group list
group_df = hic.get_group_list(group_type='timeseries')

# Columns to extract from timeseries metadata
meta_cols = ['stationparameter_longname', 'ts_unitname', 'ts_unitsymbol', 'ts_shortname']

# Prepare list to collect metadata rows
metadata_rows = []

for idx, row in group_df.iterrows():
    group_id = row['group_id']
    ts_df = hic.get_timeseries_value_layer(timeseriesgroup_id=group_id)
    if not ts_df.empty:
        meta_info = ts_df.loc[0, meta_cols].to_dict()
    else:
        meta_info = {col: None for col in meta_cols}
    # Combine group info and meta info
    combined = {
        'group_id': group_id,
        'group_name': row['group_name'],
        'group_type': row['group_type'],
        **meta_info
    }
    metadata_rows.append(combined)

# Create DataFrame
metadata_table = pd.DataFrame(metadata_rows)

metadata_table['group_id'] = metadata_table['group_id'].astype(int)
cmd_metadata_table_allowed_groupids = metadata_table[metadata_table['group_id'].isin(cmd_allowed_tsgroupids)].reset_index(drop=True).drop(columns=['ts_shortname'])
cmd_metadata_table_allowed_groupids

cmd_metadata_table_allowed_groupids.to_csv(sys.stdout, index=False)


metadata_table['group_id'] = metadata_table['group_id'].astype(int)
ensemble_metadata_table_allowed_groupids = metadata_table[metadata_table['group_id'].isin(ensemble_allowed_tsgroupids)].reset_index(drop=True).drop(columns=['ts_shortname'])
ensemble_metadata_table_allowed_groupids

ensemble_metadata_table_allowed_groupids.to_csv(sys.stdout, index=False)