dataforge-sdk

SDK for creating DataForge extensions.

Example projects and usage patterns: https://github.com/dataforgelabs/dataforge-sdk

Postgres Utilities

The dataforge.pg module provides helper functions to execute SQL operations against the DataForge Postgres metastore:

from dataforge.pg import select, update, pull

# Execute a SELECT query and return a Spark DataFrame
df = select("SELECT * FROM my_table")

# Execute an UPDATE/INSERT/DELETE query
update("UPDATE my_table SET col = 'value'")

# Trigger a new data pull for source_id 123
pull(123)

IngestionSession

The IngestionSession class manages a custom data ingestion process lifecycle.

from dataforge import IngestionSession

# Initialize a session (production use)
session = IngestionSession()

# Initialize a session (optional source_name/project_name for testing)
session = IngestionSession(source_name="my_source", project_name="my_project")

# Ingest data 
# pass a function returning a DataFrame (recommended to integrate logging with DataForge)
session.ingest(lambda: spark.read.csv("s3://bucket/path/input.csv"))

# pass a DataFrame (can be used for testing, not recommended for production deployment)
df = spark.read.csv("s3://bucket/path/input.csv")
session.ingest(df)

# ingest empty dataframe to create 0-record input
session.ingest()


# Fail the process with error message
session.fail("Error message")

# Retrieve latest tracking fields
tracking = session.latest_tracking_fields()

# Retrieve connection parameters for the current source
connection_parameters = session.connection_parameters()

# Retrieve custom parameters for the current source
custom_parameters = session.custom_parameters()

# Retrieve system configuration for the current session
system_configuration = session.system_configuration

ParsingSession

The ParsingSession class manages a custom parse process lifecycle.

from dataforge import ParsingSession

# Initialize a session (production use)
session = ParsingSession()

# Initialize a session (optional input_id for testing)
session = ParsingSession(input_id=123)

# Retrieve custom parameters
params = session.custom_parameters()

# Retrieve system configuration for the current session
system_configuration = session.system_configuration

# Get the path of file to be parsed
path = session.file_path

# Run parsing: pass a DataFrame, a function returning a DataFrame or None (0-record file)
session.run(lambda: spark.read.json(session.file_path))

# Fail the process with error message
session.fail("Error message")

PostOutputSession

The PostOutputSession class manages a custom post-output process lifecycle.

from dataforge import PostOutputSession

# Initialize a session (production use)
session = PostOutputSession()

# Initialize a session (optional names for testing)
session = PostOutputSession(output_name="report", output_source_name="my_source", project_name="my_project")


# Get the path of file generated by preceding output process
path = session.file_path()

# Retrieve connection parameters for the current output
connection_parameters = session.connection_parameters()

# Retrieve custom parameters for the current source
custom_parameters = session.custom_parameters()

# Retrieve system configuration for the current session
system_configuration = session.system_configuration

# Run post-output logic: pass a function encapsulating custom code
session.run(lambda: print(f"Uploading file from {path}"))

# Fail the process with error message
session.fail("Error message")

Download files

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

Source Distribution

dataforge_sdk-10.3.0rc17.tar.gz (13.8 kB view details)

Uploaded Jul 30, 2026 Source

Built Distribution

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

The dropdown lists show the available interpreters, ABIs, and platforms. Enable javascript to be able to filter the list of wheel files.

dataforge_sdk-10.3.0rc17-py3-none-any.whl (20.4 kB view details)

Uploaded Jul 30, 2026 Python 3

File details

Details for the file dataforge_sdk-10.3.0rc17.tar.gz.

File metadata

Download URL: dataforge_sdk-10.3.0rc17.tar.gz
Upload date: Jul 30, 2026
Size: 13.8 kB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/7.0.0 CPython/3.10.20

File hashes

Hashes for dataforge_sdk-10.3.0rc17.tar.gz
Algorithm	Hash digest
SHA256	`5e4bc6837cb90e9b2192f6c8580f99abd0c2eb7fbf65cb4fa05a1068b26f2ab4`
MD5	`8fd38b326a751973d2eb479fb8de539e`
BLAKE2b-256	`e234caf16f3c156c8b8d7134642d715de8283da855d75f2b5db9032ca22aebd9`

See more details on using hashes here.

File details

Details for the file dataforge_sdk-10.3.0rc17-py3-none-any.whl.

File metadata

Download URL: dataforge_sdk-10.3.0rc17-py3-none-any.whl
Upload date: Jul 30, 2026
Size: 20.4 kB
Tags: Python 3
Uploaded using Trusted Publishing? No
Uploaded via: twine/7.0.0 CPython/3.10.20

File hashes

Hashes for dataforge_sdk-10.3.0rc17-py3-none-any.whl
Algorithm	Hash digest
SHA256	`38668996d9170956574987f38bf3950604482b6303eb7b38880fdf98a7824a6e`
MD5	`fc4430dedde5f55a9b6a4b0b228859f7`
BLAKE2b-256	`54ad90a52656bc3769189286218f737672d1c7b7fb0b27378fd64aa7577e75cc`