parsimony-bdf 0.0.1

Banque de France connector for the parsimony framework

parsimony-bdf

Banque de France connector — French macroeconomic, monetary, and financial time series via the Webstat (Opendatasoft) API.

Part of the parsimony-connectors monorepo. Distributed standalone on PyPI as parsimony-bdf.

Connectors

Name	Kind	Description
bdf_fetch	connector	Fetch a Banque de France time series by SDMX key (e.g. EXR.M.USD.EUR.SP00.E), optionally bounded by start_period/end_period.
enumerate_bdf	enumerator	Stream the full BdF series universe (~41.6k series across 45 dataflows) for catalog discovery.
bdf_search	connector	Semantic-search the published BdF catalog snapshot; returns ranked series codes.

Install

pip install parsimony-bdf

Pulls in parsimony-core>=0.7,<0.8 automatically. Verify discovery:

python -c "from parsimony import discover; print([p.name for p in discover.iter_providers()])"

Configuration

The Webstat API requires a free API key. Register at https://developer.webstat.banque-france.fr/, then set:

export BDF_API_KEY="<your-key>"

The key is sent in the Authorization: Apikey <KEY> header (the literal word Apikey, not Bearer). It is declared as a secret (stripped from provenance) and never appears in request logs. Supply it via the env var above, or bind it explicitly:

from parsimony_bdf import load
connectors = load(api_key="<your-key>")   # binds the key across the bundle

A missing key fails fast with UnauthorizedError naming BDF_API_KEY.

bdf_search reads a published catalog snapshot (default hf://parsimony-dev/bdf). Override the snapshot location with the PARSIMONY_BDF_CATALOG_URL environment variable, or pass catalog_url= at call time.

Quick start

from parsimony_bdf import load

connectors = load(api_key="<your-key>")
result = connectors["bdf_fetch"](key="EXR.M.USD.EUR.SP00.E")
print(result.data.head())

For multi-plugin composition (autoloads everything installed):

from parsimony import discover
connectors = discover.load_all()

Catalogs

The Webstat series dataset is a single flat queryable table, so enumerate_bdf discovers the entire universe in two requests: one series/exports/json export (~41.6k series) plus one webstat-datasets call for the 45 dataflow stub rows. Each series row carries English + French titles and a topic breadcrumb, folded into the catalog description for cross-language recall. Maintainers build a Catalog snapshot from it (scripts/build_catalog.py) and push it to the snapshot URL bdf_search reads — the build runs offline as a publish job, never at query time. Quota: 10,000 requests/day.

Provider

• Homepage: https://www.banque-france.fr
• Webstat portal: https://webstat.banque-france.fr
• Developer portal: https://developer.webstat.banque-france.fr/

License

See LICENSE.