better-python-doppler 2.0.0

Lightweight, secrets-first Python SDK for the Doppler API.

Better Python Doppler

Better Python Doppler is a lightweight, sync, secrets-first Python SDK for the Doppler API.

The supported public surface today is secrets management. This repo is not yet documenting or claiming first-class public support for projects, configs, or environments.

Related repo docs:

• Project Outline
• Development Plan

Installation

This project currently requires Python 3.12 or newer.

The package name is better-python-doppler.

pip install better-python-doppler

Runtime dependencies are declared in pyproject.toml, including requests and python-dotenv.

For a source checkout, the verified local install path is:

pip install -e .[test]

Current Scope

Supported and documented today:

• direct token auth with Doppler(service_token="...")
• explicit environment lookup with Doppler(service_token_environ_name="...")
• explicit .env loading with Doppler.from_env(...)
• secrets access through client.secrets
• compatibility access through client.Secrets
• top-level compatibility exports: Secrets and SecretsClient
• SDK exception types exported from better_python_doppler

Supported secrets workflows:

• list
• list_names
• get
• get_raw
• as_dict
• set
• set_many
• update as a compatibility wrapper
• delete
• update_note
• download

Not documented as supported public SDK surface yet:

• projects client
• configs client
• environments client

Authentication

Direct Token

from better_python_doppler import Doppler

client = Doppler(service_token="dp.st.example-token")

Explicit Environment Lookup

from better_python_doppler import Doppler

client = Doppler(service_token_environ_name="DOPPLER_SERVICE_TOKEN")

This reads the named environment variable directly. It does not implicitly load .env.

Explicit .env Workflow

from better_python_doppler import Doppler

client = Doppler.from_env(
    "DOPPLER_SERVICE_TOKEN",
    dotenv_path=".env",
    override=False,
)

Use from_env(...) when you want .env loading to be explicit instead of hidden in the base constructor.

Secrets Usage

Recommended usage goes through client.secrets.

from better_python_doppler import Doppler

client = Doppler(service_token="dp.st.example-token")

secret = client.secrets.get("my-project", "dev", "API_KEY")
print(secret.name)
print(secret.value.raw)

raw_value = client.secrets.get_raw("my-project", "dev", "API_KEY")
print(raw_value)

Single Secret Set/Get

updated = client.secrets.set(
    "my-project",
    "dev",
    "API_KEY",
    "next-value",
)

print(updated.value.raw)
print(client.secrets.get_raw("my-project", "dev", "API_KEY"))

Multi-Secret Set/Update

updated = client.secrets.set_many(
    "my-project",
    "dev",
    {
        "API_KEY": "next-value",
        "TIMEOUT": "30",
    },
)

compatibility_result = client.Secrets.update(
    "my-project",
    "dev",
    secrets={
        "API_KEY": "rotated-value",
        "TIMEOUT": "60",
    },
)

set and set_many are the preferred write methods. update(...) remains available for compatibility.

Download

as_json = client.secrets.download("my-project", "dev", format="json")
as_env = client.secrets.download(
    "my-project",
    "dev",
    format="env",
    secrets=["API_KEY", "TIMEOUT"],
)

download(..., format="json") and download(..., format="dotnet-json") return dictionaries. Text formats such as env, yaml, docker, and env-no-quotes return strings.

Compatibility

These compatibility paths are still preserved:

• client.Secrets returns the same cached object as client.secrets
• Secrets remains a top-level compatibility alias
• SecretsClient remains a top-level export

Example:

from better_python_doppler import Doppler

client = Doppler(service_token="dp.st.example-token")
assert client.Secrets is client.secrets

Exceptions

The SDK exports its own exception types:

• DopplerError
• DopplerConfigError
• DopplerTransportError
• DopplerResponseError
• DopplerAPIError
• DopplerAuthError
• DopplerNotFoundError
• DopplerValidationError

Offline Examples

The scripts in examples/ are intentionally offline. They use a fake transport so they do not call the live Doppler API.

• examples/direct_token_usage.py
• examples/explicit_env_lookup.py
• examples/from_env_workflow.py
• examples/single_secret_get_set.py
• examples/multi_secret_set_update.py
• examples/download_usage.py
• examples/example_secrets.py

License

This project is licensed under the Apache 2.0 License. See the LICENSE file for details.