Skip to main content

Libre Alpha Python SDK for interacting with gRPC-based backend

Project description

Libre Alpha Python SDK

This SDK provides historical upload, historical download, local runner send, and real-time subscription APIs (HTTP + gRPC + WebSocket).

Install

pip install libre-alpha
# Optional: override default API base (default is https://api.librealpha.com)
export LIBRE_API_BASE="https://api.librealpha.com"

# Auth (X-API-Key)
export LIBRE_API_KEY="YOUR_API_KEY"

# Optional: record encryption key (used to encrypt uploads for encrypted records, and decrypt encrypted payloads)
export LIBRE_RECORD_ENCRYPTION_KEY="YOUR_RECORD_ENCRYPTION_KEY"

# Optional: local libre_runner gRPC address for send_data()
export LIBRE_RUNNER_HOST="127.0.0.1"
export LIBRE_RUNNER_PORT="8128"

Initialize Client

from libre_alpha.client import LibreAlphaClient

# api_base defaults to https://api.librealpha.com
# can be overridden by env LIBRE_API_BASE or by passing api_base=...
client = LibreAlphaClient(
    api_key="YOUR_API_KEY",            # optional if using env LIBRE_API_KEY
)

## Historical Upload API (Python) - protobuf stream (/api/entries/history/upload)

This is a **historical backfill** uploader that sends protobuf `DataEntry` messages in a length-prefixed stream:

- Request body format: `[4-byte big-endian length][DataEntry][4-byte length][DataEntry]...`
- Backend groups entries **by minute**; this SDK implementation will also **bucket by minute** and send **1 minute per request**.
- Auth: `X-API-Key` (required).
- Data is carried per-symbol in `symbol_values`:
  - For non-encrypted records: `symbol_values[i].values.items = [float, ...]`
  - For encrypted records: `symbol_values[i].encrypted_payload = <bytes>` (AES-256-GCM)

Client method (recommended):

```python
def upload_data(
    record_id: int,
    df: pd.DataFrame,
    encryption_key: str | None = None,
) -> None:
    ...
  • Auth is always taken from client.api_key (or env LIBRE_API_KEY when constructing the client).
  • encryption_key: record encryption key for encrypting payload when the record is encrypted. If omitted, the SDK uses env LIBRE_RECORD_ENCRYPTION_KEY.

Note: the SDK also exposes a module-level upload_data(...) with the same arguments; client.upload_data(...) delegates to it internally. (We only show the signature once here to avoid confusion.)

DataFrame format:

  • Required columns:
    • symbol (str): symbol_id string (e.g. "1", "3"). If you pass non-numeric symbol names, the SDK will best-effort map them to symbol_id via /api/records/user-records (target_symbols).
    • timestamp (datetime64 or unix timestamp; will be normalized to UTC and uploaded in microseconds)
  • Feature columns (choose ONE approach):
    • Provide a features column containing a list of floats (or a string like "[1.0, nan, 2.0]"), OR
    • Provide user-defined float columns matching the record schema; the SDK will fetch feature order from /api/records/{id}.

Upload packing behavior:

  • 1 request = 1 minute (backend requirement)
  • Within that minute, the SDK aggregates rows by exact timestamp into 1 DataEntry.
  • Each aggregated DataEntry carries multiple symbols in symbol_values: [{symbol_id, values.items}, {symbol_id, values.items}, ...]

Example (upload one minute from a previously-downloaded CSV):

import pandas as pd
from libre_alpha.client import LibreAlphaClient

df = pd.read_csv("history_1h_record12_BTC.csv")

# pick the first minute only (backend requires 1 minute per upload)
first_minute = int(df["timestamp"].iloc[0] // 60_000_000)
df1 = df[df["timestamp"].apply(lambda x: int(x // 60_000_000) == first_minute)].copy()
df1 = df1[["symbol", "timestamp", "features"]]

client = LibreAlphaClient(api_key="YOUR_API_KEY")
client.upload_data(
    record_id=12,
    df=df1,
    # encryption_key="YOUR_RECORD_ENCRYPTION_KEY",  # only needed if record is encrypted (or set LIBRE_RECORD_ENCRYPTION_KEY)
)

Historical File Download API (Python) - protobuf (length-prefixed)

def download_historical_data(
    record_id: int,
    symbols: list[str],
    start: datetime | str | int,
    end: datetime | str | int,
    encryption_key: str | None = None,
) -> pandas.DataFrame:
    pass

Parameters:

  • record_id: the record id to download
  • symbols: list of symbol names (e.g. ["BINANCE_BTCUSDT"]). If you pass [], the SDK will best-effort fetch all symbols from /api/records/user-records (target_symbols).
  • start/end: datetime | ISO string | unix timestamp (sec/ms/us)
  • encryption_key: optional, record encryption key for decrypting symbol_values[].encrypted_payload

Notes:

  • Backend /api/entries/download-links enforces end-start <= 24h (microseconds). The SDK automatically splits long ranges into multiple 24h windows and merges results locally.
  • Download worker concurrency defaults to 100 and can be overridden by environment variable LIBRE_DOWNLOAD_WORKERS.
  • Returned timestamps are in microseconds.
  • DataEntry uses repeated SymbolValues symbol_values; each row corresponds to one symbol_id.
  • When data is encrypted (symbol_values[].encrypted_payload present), pass encryption_key to decrypt.
  • The download progress line shows total bytes and real-time speed (MB/s). Set LIBRE_DOWNLOAD_PROGRESS=0 to disable progress output.

Example

from libre_alpha.client import LibreAlphaClient
import datetime as dt

client = LibreAlphaClient(
    api_key="YOUR_API_KEY",
    api_base="https://api.librealpha.com",
)

start = dt.datetime(2026, 1, 1, 0, 0, 0, tzinfo=dt.timezone.utc)
end   = dt.datetime(2026, 1, 3, 0, 0, 0, tzinfo=dt.timezone.utc)  # >24h is OK (SDK will split)

df = client.download_historical_data(
    record_id=2,
    symbols=["BINANCE_BTCUSDT"],
    start=start,
    end=end,
    encryption_key="YOUR_RECORD_ENCRYPTION_KEY",  # for decrypting encrypted data
)

print(df.head())
print("rows:", len(df))

Local Runner Send API (Python) - gRPC ProcessJson

send_data(...) is still available in the Python SDK. It sends one JSON payload to a local libre_runner through the gRPC JsonService/ProcessJson RPC.

Client method:

def send_data(
    *,
    data: dict,
    record_id: int,
    timeout: float | None = None,
):
    ...

Parameters:

  • data: JSON-serializable payload to send.
  • record_id: target backend record id. This is required and is sent in gRPC metadata.
  • timeout: optional gRPC timeout in seconds. Defaults to the client timeout.

Notes:

  • Transport is gRPC, not HTTP.
  • The SDK sends to LIBRE_RUNNER_HOST:LIBRE_RUNNER_PORT (defaults to 127.0.0.1:8128), or to host= / port= passed when constructing LibreAlphaClient.
  • The underlying RPC is JsonService/ProcessJson.
  • send_data(...) is the current send entrypoint for local runner usage. There is no separately documented send_alpha(...) API in the current SDK implementation.
  • send_data(...) can also send alpha-style payloads. What matters is that record_id and the fields inside data match the target record schema.
  • Runner determines whether the target record is encrypted. For encrypted records it will upload encrypted_payload; for non-encrypted records it will upload values.
  • If you include symbol in data, runner will use it. If omitted, runner may try to infer it from record configuration.

Example: send normal data to local runner

from libre_alpha import LibreAlphaClient

client = LibreAlphaClient(
    api_key="YOUR_API_KEY",
    host="127.0.0.1",
    port=8128,
)

resp = client.send_data(
    record_id=13,
    data={
        "symbol": "BINANCE_BTCUSDT",
        "Price": 150,
        "Volume": 200,
        "timestamp_ms": 1710000000000,
    },
)

print(resp)

Example: send alpha data to local runner

from libre_alpha import LibreAlphaClient

client = LibreAlphaClient(
    api_key="YOUR_API_KEY",
    host="127.0.0.1",
    port=8128,
)

resp = client.send_data(
    record_id=4,
    data={
        "symbol": "BINANCE_BTCUSDT",
        "alpha_value": 0.1234,
        "timestamp_ms": 1710000000000,
    },
)

print(resp)

Real-time Subscribe API (Python) - WebSocket ws/data

from typing import List, Callable

def subscribe_data(
    record_id: int,
    *,
    symbols: List[str],
    on_data_fn: Callable[[str, pd.DataFrame], None],
    encryption_key: str | None = None,
) -> None:
    """Subscribes to live data for a record into a DataFrame (schema matches publish).

    Args:
        record_id: Backend record identifier.
        symbols: Symbols to filter by (required).
        on_data_fn: Callback function invoked upon receiving new data. The
            function takes two arguments: the symbol (str) and a DataFrame
            containing the new data for that symbol.
        encryption_key: Optional, record encryption key for decrypting encrypted_payload.
    """

Parameters:

  • record_id: must be in user's subscriptions (from /api/subscriptions)
  • symbols: symbol_id strings to filter by (required). Only rows with symbol_id in this list are passed to on_data_fn.
  • on_data_fn: callback invoked upon receiving new data. Takes (symbol: str, df: DataFrame).
  • encryption_key: optional, record encryption key for decrypting symbol_values[].encrypted_payload; required if data is encrypted.

Notes:

  • Connects to ws/data, sends { wallet_address, record_id } on open.
  • If data is encrypted (symbol_values[].encrypted_payload has value), pass encryption_key or set LIBRE_RECORD_ENCRYPTION_KEY.
  • DataFrame schema matches download_historical_data (record_id, symbol, features/expanded feature columns, timestamps).
  • Blocking; run in a daemon thread for long-lived subscription.

Example

import threading
import pandas as pd
from libre_alpha import LibreAlphaClient

client = LibreAlphaClient(
    api_key="YOUR_API_KEY",
    host="127.0.0.1",
    port=8128,
)

resp = client.send_data(
    record_id=13,
    data={
        "symbol": "BINANCE_BTCUSDT",
        "Price": 150,
        "Volume": 200,
        "timestamp_ms": 1710000000000,
    },
)

print(resp)

Example: send alpha data to local runner

from libre_alpha import LibreAlphaClient

client = LibreAlphaClient(
    api_key="YOUR_API_KEY",
    host="127.0.0.1",
    port=8128,
)

resp = client.send_data(
    record_id=4,
    data={
        "symbol": "BINANCE_BTCUSDT",
        "alpha_value": 0.1234,
        "timestamp_ms": 1710000000000,
    },
)

print(resp)

Real-time Subscribe API (Python) - WebSocket ws/data

from typing import List, Callable

def subscribe_data(
    record_id: int,
    *,
    symbols: List[str],
    on_data_fn: Callable[[str, pd.DataFrame], None],
    encryption_key: str | None = None,
) -> None:
    """Subscribes to live data for a record into a DataFrame (schema matches publish).

    Args:
        record_id: Backend record identifier.
        symbols: Symbols to filter by (required).
        on_data_fn: Callback function invoked upon receiving new data. The
            function takes two arguments: the symbol (str) and a DataFrame
            containing the new data for that symbol.
        encryption_key: Optional, record encryption key for decrypting encrypted_payload.
    """

Parameters:

  • record_id: must be in user's subscriptions (from /api/subscriptions)
  • symbols: symbol_id strings to filter by (required). Only rows with symbol_id in this list are passed to on_data_fn.
  • on_data_fn: callback invoked upon receiving new data. Takes (symbol: str, df: DataFrame).
  • encryption_key: optional, record encryption key for decrypting symbol_values[].encrypted_payload; required if data is encrypted.

Notes:

  • Connects to ws/data, sends { wallet_address, record_id } on open.
  • If data is encrypted (symbol_values[].encrypted_payload has value), pass encryption_key or set LIBRE_RECORD_ENCRYPTION_KEY.
  • DataFrame schema matches download_historical_data (record_id, symbol, features/expanded feature columns, timestamps).
  • Blocking; run in a daemon thread for long-lived subscription.

Example

import threading
import pandas as pd
from libre_alpha import LibreAlphaClient

client = LibreAlphaClient(api_key="YOUR_API_KEY", api_base="https://api.librealpha.com")

def on_data_fn(symbol: str, df: pd.DataFrame):
    print(f"[{symbol}] entry_id={df['entry_id'].iloc[0]} features_len={len(df['features'].iloc[0])}")

t = threading.Thread(
    target=client.subscribe_data,
    kwargs={"record_id": 2, "symbols": ["1", "3"], "on_data_fn": on_data_fn, "encryption_key": "YOUR_RECORD_ENCRYPTION_KEY"},
    daemon=True,
)
t.start()

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

libre_alpha-0.1.9.tar.gz (43.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

libre_alpha-0.1.9-py3-none-any.whl (43.1 kB view details)

Uploaded Python 3

File details

Details for the file libre_alpha-0.1.9.tar.gz.

File metadata

  • Download URL: libre_alpha-0.1.9.tar.gz
  • Upload date:
  • Size: 43.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.10

File hashes

Hashes for libre_alpha-0.1.9.tar.gz
Algorithm Hash digest
SHA256 de72130de3a2eb28fb93020cd6c8cdc6a9effb275ed3de88b4c29e2dd6fc28d5
MD5 95aae7fc54ec3901a8cfd6485327d249
BLAKE2b-256 e973c1d54c30d8fea3829ae1c0ba8d96d2fba6f4597cf60d14c8f1e0eb75a8b4

See more details on using hashes here.

File details

Details for the file libre_alpha-0.1.9-py3-none-any.whl.

File metadata

  • Download URL: libre_alpha-0.1.9-py3-none-any.whl
  • Upload date:
  • Size: 43.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.10

File hashes

Hashes for libre_alpha-0.1.9-py3-none-any.whl
Algorithm Hash digest
SHA256 aec9ec671feaed41216cf7f46b47548f20d1efd9a5d81a9c3f18f6660368aa67
MD5 ecd3e56af90edcf4cac4e091dab31b8e
BLAKE2b-256 c39402f6209f0211bd64206139829383f3e2113e4e5a7f206f450e3ddf70323b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page