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A Tabular Helper API library that wraps common AWS services (DynamoDB, S3, SSM) with a typed, consistent interface built on boto3.

Project description

tha-aws-runner

CI

A Tabular Helper API library that wraps common AWS services (DynamoDB, S3, SSM) with a typed, consistent interface built on boto3.

Install

pip install tha-aws-runner

Quick start

from tha_aws_runner import ThaDdb, ThaS3, ThaSSM

# DynamoDB — fetch a single item by partition key
ddb = ThaDdb(region="us-east-1")
record = ddb.fetch_by_pk("my_table", "pk1", key_name="id", key_type="S")
# {"status": None, "message": None, "pk": "pk1", "table": "my_table", "data": {"name": "Alice"}}

# DynamoDB — batch fetch by partition key (uses batch_get_item, chunks at 100)
records = ddb.batch_fetch_by_pk("my_table", ["pk1", "pk2"], key_name="id", key_type="S")
# {"my_table": {"pk1": {"status": None, "pk": "pk1", "table": "my_table", "data": {"name": "Alice"}},
#               "pk2": {"status": "error", "pk": "pk2", "table": "my_table", "data": None}}}

# DynamoDB — update a single attribute (commit=True required to execute)
result = ddb.update_by_pk("my_table", "pk1", "id", "S", "status", "S", "active", commit=True)
# {"pk": "pk1", "status": "updated", "old": {...}}

# S3 — upload bytes or a local file (bucket+key or S3 URI)
s3 = ThaS3(region="us-east-1")
s3.upload_file("my-bucket", "data/file.csv", data=b"col1,col2\n1,2", commit=True)
s3.upload_file("my-bucket", "data/file.csv", local_path="/tmp/file.csv", commit=True)
s3.upload_file(uri="s3://my-bucket/data/file.csv", data=b"col1,col2\n1,2", commit=True)

# S3 — download to memory or a local file (bucket+key or S3 URI)
result = s3.download_file("my-bucket", "data/file.csv")
# {"bucket": "my-bucket", "key": "data/file.csv", "status": "downloaded", "bytes": 13, "data": b"..."}
s3.download_file("my-bucket", "data/file.csv", local_path="/tmp/out.csv")
s3.download_file(uri="s3://my-bucket/data/file.csv", local_path="/tmp/out.csv")

# SSM — read a parameter
ssm = ThaSSM(region="us-east-1")
value = ssm.read_param("/my/app/secret", with_decryption=True)

API

ThaDdb

ThaDdb(*, status_cb=None, mode="app", region=None, profile=None)
Method Description
fetch_by_pk(table_name, partition_key, *, fields=None, key_name=None, key_type=None, dynamodb=None) Fetch a single item by partition key via get_item. Returns {status, message, pk, table, data}. status is None (item found) or "error" (item missing or AWS error).
batch_fetch_by_pk(table_name, partition_keys, *, fields=None, key_name=None, key_type=None, workers=1, dynamodb=None) Batch-fetch items by partition key via batch_get_item (chunks at 100). Returns {table_name: {pk: {status, message, pk, table, data}}}. Each record's status is None (item found) or "error" (item missing or AWS error). Chunk-level AWS errors are captured per-chunk; affected PKs get status: "error" while remaining chunks still return their data. Pass workers>1 to parallelize chunks across threads.
update_by_pk(table_name, partition_key, key_name, key_type, update_attr, update_type, update_value, *, increment_attr=None, commit=False, dynamodb=None) Update a single attribute with conditional check. Returns {"pk", "status", ...} where status is updated, skipped, error, or dry_run.
batch_update_by_pk(table_name, rows, pk_col, key_name, key_type, update_attr, update_type, value_col, *, increment_attr=None, workers=1, commit=False, dynamodb=None) Update an attribute for each row in a list. Wraps update_by_pk per row. Pass workers>1 for threading. Returns a list of per-row result dicts.
batch_delete_by_pk(table_name, rows, pk_col, key_name, key_type, *, workers=1, commit=False, dynamodb=None) Delete an item for each row in a list. Wraps delete_by_pk per row. Pass workers>1 for threading. Returns a list of per-row result dicts.
batch_write(table_name, items, *, commit=False, dynamodb=None) Write up to N items in 25-item chunks with retry. Returns {"written": N} or {"written": N, "status": "dry_run"}. Does not support workers — DDB batch writes serialize deliberately to respect provisioned write throughput and keep retry logic simple. Use batch_update_by_pk with workers for parallel fan-out writes by partition key.
delete_by_pk(table_name, partition_key, key_name, key_type, *, commit=False, dynamodb=None) Delete one item with existence check. Returns {"pk", "status"}.

All write methods default to commit=False (dry run) — pass commit=True to execute. In dry-run mode the AWS call is skipped and status is "dry_run".

GSI (Global Secondary Index) support for ThaDdb is planned for a future version.

ThaS3

ThaS3(*, status_cb=None, mode="app", region=None, profile=None)
Method Description
upload_file(bucket=None, key=None, *, uri=None, local_path=None, data=None, encoding="utf-8", commit=False, s3=None) Upload a local file, raw bytes, or a string to S3. Provide uri or both bucket+key. Provide exactly one of local_path or data. Strings are encoded using encoding. Returns {"bucket", "key", "status", "bytes"}.
list_files(bucket, prefix="", *, s3=None) List all object keys in a bucket under an optional prefix. Returns a list[str] of keys. Paginates automatically.
delete_file(bucket=None, key=None, *, uri=None, commit=False, s3=None) Delete an S3 object. Provide uri or both bucket+key. Returns {"bucket", "key", "status"}.
download_file(bucket=None, key=None, *, uri=None, local_path=None, encoding=None, s3=None) Download an S3 object. Provide uri or both bucket+key. Without local_path, returns data in result["data"] as str (if encoding set) or bytes. With local_path, writes raw bytes to disk. Returns {"bucket", "key", "status", "bytes"}.
batch_download(bucket=None, keys=None, *, uris=None, local_dir=None, encoding=None, workers=1, s3=None) Download multiple S3 objects. Provide uris (list of S3 URIs) or bucket with optional keys (omit keys to download all objects in the bucket). With local_dir, files are written to disk preserving the key path structure. Pass workers>1 to parallelize. Returns a list[dict] of per-file results; failed files get {"status": "error", "message": msg} rather than raising.

ThaSSM

ThaSSM(*, status_cb=None, mode="app", region=None, profile=None)
Method Description
read_param(path, *, with_decryption=False, ssm=None) Fetch a single SSM parameter value as a string.
read_params_by_path(path_prefix, *, with_decryption=False, ssm=None) Fetch all parameters under a path prefix recursively. Returns {name: value}. Paginates automatically.
write_param(path, value, *, param_type="String", overwrite=True, commit=False, ssm=None) Write an SSM parameter. Returns {"path", "status"}.

All methods set self.rows to their return value.

mode="cli" enables tqdm progress bars. mode="app" calls status_cb(message) instead.

Threading note: If your runner already parallelizes calls into ThaDdb / ThaS3 (e.g. via your own ThreadPoolExecutor), pass workers=1 (the default) to avoid nested thread pools. Use the library's workers>1 when you have a single batch to process and want the library to manage the parallelism.

Helpers

from tha_aws_runner import AWSClients, current_identity, parse_assumed_role_arn, cli_auth_check

# Get all boto3 clients from one session
clients = AWSClients(region="us-east-1", profile="my-profile")
s3 = clients.s3()

# Check the current AWS identity
identity, account_id, role_name, session_name = current_identity(region="us-east-1")

# Guard a script to the expected account/role
if not cli_auth_check(account_id, role_name, "123456789012", "my_role"):
    raise SystemExit("Wrong AWS identity")

Alternatives

  • boto3 — the official AWS SDK; tha-aws-runner is a thin typed convenience layer on top of it
  • aioboto3 — async boto3 wrapper for async applications
  • pynamodb — ORM-style DynamoDB wrapper with model definitions
  • aws-lambda-powertools — utilities for Lambda functions including SSM parameter caching

tha-aws-runner is intentionally narrow: no ORM, no async, no Lambda-specific features — just a thin typed wrapper for the most common DynamoDB, S3, and SSM call patterns.

License

MIT

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