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Standardizing models

Project description

bollhav

Model definition framework for data pipeline targets.

Implementations

Postgres
Parquet


Installation

pip install bollhav

Model

from bollhav import Model, ModelType, WriteMode, Database, PostgresColumn, PostgresType

model = Model(
    name="orders",
    source_entity="raw.orders",
    table="orders",
    schema="public",
    database=Database.POSTGRES,
    columns=[
        PostgresColumn(name="id", data_type=PostgresType.BIGINT, primary_key=True, nullable=False),
        PostgresColumn(name="created_at", data_type=PostgresType.TIMESTAMPTZ, nullable=False),
        PostgresColumn(name="email", data_type=PostgresType.TEXT, nullable=True, sensitive=True),
    ],
    write_mode=WriteMode.APPEND,
    cron="0 3 * * *",
    partitioned_by="created_at",
)

Parameters

Parameter Type Default Description
name str required Unique identifier for the model
source_entity str required Source table or view to read from
table str "" Destination table name
schema str "" Destination schema name
database Database None Target database. Required if columns is set
columns list[PostgresColumn | ParquetColumn] None Column definitions. Required if database is set
model_type ModelType TABLE TABLE or VIEW
write_mode WriteMode APPEND How to write data. VIEW requires ModelType.VIEW
tags list[str] None Labels for filtering
cron str None Cron expression. Automatically infers batch_size
enabled bool True Whether the model is active
debug bool False Enables debug mode
description str None Human-readable description
source_dsn str None DSN for the source connection
source_query str None Optional query to use instead of source_entity
partitioned_by str None Column name to partition by. Must exist in columns
begin datetime None Backfill start — must be UTC-aware
end datetime None Backfill end — must be UTC-aware
retries int None Retry count on failure
lookback int None Lookback window in batch units
tz_aware bool True Enforces UTC on begin/end
**kwargs Extra metadata. Callable values are resolved with non-callable kwargs as arguments

Computed attributes

Attribute Description
batch_size Inferred from cron if set, otherwise None
sensitive True if any column has sensitive=True
unique_columns Columns with unique=True — required for UPDATE_INSERT
partitioned_by_index True if partitioned_by is set

Databases

from bollhav import Database

Database.POSTGRES
Database.PARQUET

Write modes

Read more here

from bollhav import WriteMode

WriteMode.APPEND
WriteMode.OVERWRITE_INSERT  # requires partitioned_by
WriteMode.TRUNCATE_INSERT
WriteMode.UPDATE_INSERT     # requires at least one column with unique=True
WriteMode.VIEW              # requires ModelType.VIEW

UTC enforcement

When tz_aware=True (default), begin and end must be UTC-aware. Naive or non-UTC datetimes raise ValueError.

from datetime import datetime, timezone

model = Model(
    ...,
    begin=datetime(2025, 1, 1, tzinfo=timezone.utc),
    end=datetime(2025, 2, 1, tzinfo=timezone.utc),
)

Extra kwargs

Non-reserved keyword arguments are stored in model.extra. Callable values are resolved at init time using the non-callable kwargs as arguments.

model = Model(
    name="orders",
    source_entity="raw.orders",
    static="production",
    env=lambda static: f"env={static}",
)

model.extra  # {"static": "production", "env": "env=production"}

Project details


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This version

1.5.3

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