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data_series_ingester.py
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data_series_ingester.py
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import argparse
import csv
import json
from datetime import datetime
from typing import List
import httpx
from pydantic.json import pydantic_encoder
from backend.api_models import AddDataSeriesResult, DataSeriesCreate
def add_data_series_values(values: List[DataSeriesCreate]):
payload = json.dumps([value.model_dump() for value in values], default=pydantic_encoder)
response = httpx.post(
"http://localhost:8000/api/dataseries/",
data=payload,
headers={"Content-Type": "application/json"},
)
response.raise_for_status()
return AddDataSeriesResult(**response.json())
def ingest_data_series(csv_file):
data_series_list = []
reader = csv.DictReader(csv_file)
for row in reader:
date_time = datetime.strptime(row["Date"], "%d/%m/%Y")
for key, value in row.items():
if key != "Date" and value:
data_series_list.append(DataSeriesCreate(date_time=date_time, key=key, value=value))
result = add_data_series_values(data_series_list)
print(f"Values added: {result.values_added}")
def main():
parser = argparse.ArgumentParser(description="CLI for Data Series Ingestion")
parser.add_argument(
"csv_file",
type=argparse.FileType("r"),
help="Path to the CSV file holding data series.",
)
args = parser.parse_args()
ingest_data_series(args.csv_file)
if __name__ == "__main__":
try:
main()
except Exception as e:
print(f"Error: {str(e)}")
exit(1)