Python client for the Furnilytics API (topic/subtopic/dataset).
Project description
furnilytics
Client for the Furnilytics API with hierarchy topic / subtopic / dataset.
Authentication via header X-API-KEY (set FURNILYTICS_API_KEY env var or pass api_key=).
Documentation can be found on www.furnilytics.com or contact thijs.meijerink@furnilytics.com
Install (editable for local dev)
pip install -e .
Quick start
import os
import pandas as pd
from furnilytics import Client
os.environ["FURNILYTICS_API_KEY"] = "your_key_here"
cli = Client() # base_url is fixed to https://furnilytics-api.fly.dev
# Discover
topics_df = cli.list_topics() # topic-level (one row per subtopic entry)
flat_df = cli.list_datasets_flat() # all datasets with topic/subtopic
print(topics_df.head()); print(flat_df.head())
# Inspect dataset
meta_df, columns_df = cli.dataset_info("macro_economics","ppi","woodbased_panels_ppi")
print(meta_df); print(columns_df)
# Query rows (DataFrame)
df = cli.get("macro_economics","ppi","woodbased_panels_ppi", limit=5, country="SE")
print(df)
# Select, order, date window (if dataset has time_column)
df2 = cli.get("macro_economics","ppi","woodbased_panels_ppi",
select=["date","ppi","country"],
order_by="date", order_dir="DESC",
frm="2022-01-01", to="2023-12-31",
country="SE", limit=100)
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