Files
met_office_radar_data/modules/combine_timeseries.py
T
2025-12-09 15:33:28 +00:00

70 lines
2.7 KiB
Python

import polars as pd
import os
import logging
class CombineTimeseries:
def __init__(self, config, locations):
self.config = config
self.locations = locations
self.grouped_locations = {}
self.build_location_groups()
def build_location_groups(self):
for location in self.locations:
group = location[3] # zone number
if group not in self.grouped_locations:
self.grouped_locations[group] = []
self.grouped_locations[group].append(location)
logging.info(f'Count of zones: {len(self.grouped_locations)}')
# def combine_csv_files(self):
# to_delete = []
# for group, loc_list in self.grouped_locations.items():
# output_file =f"{self.config.COMBINED_FOLDER}/zone_{group}_timeseries_data.csv"
# combined_df = None
# for loc in loc_list:
# csv_to_load = f"{self.config.CSV_TOP_FOLDER}/{loc[0]}_timeseries_data.csv"
# df = pd.read_csv(csv_to_load, streaming=True)
# if combined_df is None:
# combined_df = df
# else:
# combined_df = combined_df.join(df, on='datetime')
# if self.config.delete_csv_after_combining:
# to_delete.append(csv_to_load)
# sorted_df = combined_df.sort('datetime')
# print(f'writing file to {output_file}')
# sorted_df.write_csv(output_file)
# if len(to_delete) > 0:
# for path in to_delete:
# print(f'deleting {path}')
# os.remove(path)
def combine_csv_files(self):
to_delete = []
for group, loc_list in self.grouped_locations.items():
output_file = f"{self.config.COMBINED_FOLDER}/zone_{group}_timeseries_data.csv"
# Use LazyFrame for memory-efficient processing
lazy_dfs = []
for loc in loc_list:
csv_to_load = f"{self.config.CSV_TOP_FOLDER}/{loc[0]}_timeseries_data.csv"
df = pd.scan_csv(csv_to_load) # Lazy read
lazy_dfs.append(df)
if self.config.delete_csv_after_combining:
to_delete.append(csv_to_load)
# Combine with LazyFrame operations
combined_lazy = pd.concat(lazy_dfs, how='align').collect(streaming=True) # Collect at the end
sorted_df = combined_lazy.sort('datetime')
print(f'writing file to {output_file}')
sorted_df.write_csv(output_file)
if len(to_delete) > 0:
for path in to_delete:
print(f'deleting {path}')
os.remove(path)