a tested aws connector -- still needs a lot of love, but this test infrastructure should make it easier to develop

.gitignore

@@ -127,3 +127,6 @@ dmypy.json
 
 # Pyre type checker
 .pyre/
+
+# editors
+.idea/

poetry.lock

@@ -0,0 +1,731 @@
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+version = "22.1.0"
+description = "Classes Without Boilerplate"
+category = "dev"
+optional = false
+python-versions = ">=3.5"
+
+[package.extras]
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+docs = ["furo", "sphinx", "sphinx-notfound-page", "zope.interface"]
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+
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+[package.extras]
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+]
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+    {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
+]
+types-toml = [
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+]
+urllib3 = [
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+]
+Werkzeug = [
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+    {file = "Werkzeug-2.2.2.tar.gz", hash = "sha256:7ea2d48322cc7c0f8b3a215ed73eabd7b5d75d0b50e31ab006286ccff9e00b8f"},
+]
+xmltodict = [
+    {file = "xmltodict-0.13.0-py2.py3-none-any.whl", hash = "sha256:aa89e8fd76320154a40d19a0df04a4695fb9dc5ba977cbb68ab3e4eb225e7852"},
+    {file = "xmltodict-0.13.0.tar.gz", hash = "sha256:341595a488e3e01a85a9d8911d8912fd922ede5fecc4dce437eb4b6c8d037e56"},
+]

pyproject.toml

@@ -0,0 +1,25 @@
+[tool.poetry]
+name = "spiffworkflow-connector-aws"
+version = "0.1.0"
+description = "Connect Service Tasks to AWS web services."
+authors = ["Dan <daniel.h.funk@gmail.com>"]
+readme = "README.md"
+packages = [{include = "connector_aws",  from = "src" }]
+
+[tool.poetry.dependencies]
+python = "^3.10"
+simplejson = "^3.17.6"
+boto3 = "^1.26.5"
+
+[tool.poetry.group.dev.dependencies]
+pytest = "^7.2.0"
+moto = "^4.0.9"
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"
+
+[tool.pytest.ini_options]
+pythonpath = [
+  ".", "src",
+]

src/connector_aws/__init__.py

@@ -0,0 +1 @@
+"""__init__."""

src/connector_aws/auths/simpleAuth.py

@@ -0,0 +1,32 @@
+"""SimpleAuth."""
+import boto3  # type: ignore
+from botocore.config import Config  # type: ignore
+
+
+class SimpleAuth:
+    """Established a simple Boto 3 Client based on an access key and a secret key."""
+
+    def __init__(self, resource_type: str, config: dict):
+        """
+        :param access_key: AWS Access Key
+        :param secret_key: AWS Secret Key
+        """
+        aws_access_key_id = config["AWS_ACCESS_KEY_ID"]
+        aws_secret_access_key = config["AWS_SECRET_ACCESS_KEY"]
+        aws_region = config["AWS_REGION"]
+
+        my_config = Config(
+            region_name=aws_region, retries={"max_attempts": 10, "mode": "standard"}
+        )
+
+        # Get the service resource.
+        self.resource = boto3.resource(
+            resource_type,
+            aws_access_key_id=aws_access_key_id,
+            aws_secret_access_key=aws_secret_access_key,
+            config=my_config,
+        )
+
+    def get_resource(self):
+        """Get_resource."""
+        return self.resource

src/connector_aws/commands/__init__.py

@@ -0,0 +1 @@
+"""__init__."""

src/connector_aws/commands/addDynamoItem.py

@@ -0,0 +1,38 @@
+"""AddDynamoItem."""
+import json
+
+from connector_aws.auths.simpleAuth import SimpleAuth  # type: ignore
+
+class AddDynamoItem:
+    """Add a new record to a dynamo db table."""
+
+    def __init__(self, table_name: str, item_data: dict):
+        """
+        :param table_name: The name of hte Dynamo DB table to add information to.
+        :param item_data: The data to add, should be in json format.
+        :return: Json Data structure containing a http status code (hopefully '200' for success..)
+            and a response string.
+        """
+        self.table_name = table_name
+        self.fix_floats(item_data)
+        self.item_data = item_data
+
+    def execute(self, config, task_data):
+        """Execute."""
+        # Get the service resource.
+        self.dynamodb = SimpleAuth("dynamodb", config).get_resource()
+        self.table = self.dynamodb.Table(self.table_name)
+        result = self.table.put_item(Item=self.item_data)
+        if "ResponseMetadata" in result:
+            del result["ResponseMetadata"]
+        result_str = json.dumps(result)
+        return dict(response=result_str, mimetype="application/json")
+
+    def fix_floats(self, data_dict: dict):
+        """Boto3 does not like floats.  It will not accept them.  So we
+        identify floats ahead of time and turn them into strings to avoid
+        unexpected issues for people.  DynamoDB will correctly interpret
+        the number on the other side, as it already knows the types."""
+        for key, val in data_dict.items():
+            if isinstance(val, float):
+                data_dict[key] = str(val)

src/connector_aws/commands/queryDynamoTable.py

@@ -0,0 +1,41 @@
+"""QueryDynamoTable."""
+import simplejson as json
+from boto3.dynamodb.conditions import Key
+from connector_aws.auths.simpleAuth import SimpleAuth  # type: ignore
+
+
+class QueryDynamoTable:
+    """Return all records for a given partition key, and optionally a sort_key."""
+
+    def __init__(self, table_name: str, partition_key: str, sort_key: str = None):
+        """
+        :param table_name: The name of hte Dynamo DB table to add information to.
+        :param partition_key: The value to search for in the partition key
+        :param sort_key: The value to search for in the sork_key (optional)
+        :return: Json Data structure containing the requested data.
+        """
+        self.table_name = table_name
+        self.partition_key = partition_key
+        self.sort_key = sort_key
+
+    def execute(self, config, task_data):
+        """Execute."""
+        dynamodb = SimpleAuth("dynamodb", config).get_resource()
+        table = dynamodb.Table(self.table_name)
+        partition_key_name = self.get_schema_key_name(table, "HASH")
+        sort_key_name = self.get_schema_key_name(table, "RANGE")
+        query = {partition_key_name: self.partition_key}
+        condition = Key(partition_key_name).eq(self.partition_key)
+        if self.sort_key:
+            condition = condition & Key(sort_key_name).eq(self.sort_key)
+        result = table.query(KeyConditionExpression=condition)
+        if "ResponseMetadata" in result:
+            del result["ResponseMetadata"]
+        result_str = json.dumps(result)
+        return dict(response=result_str, mimetype="application/json")
+
+    def get_schema_key_name(self, table, key_type: str):
+        """Get_schema_key_name."""
+        for item in table.key_schema:
+            if item["KeyType"] == key_type:
+                return item["AttributeName"]

src/connector_aws/commands/scanDynamoTable.py

@@ -0,0 +1,25 @@
+"""ScanDynamoTable."""
+import simplejson as json
+
+from connector_aws.auths.simpleAuth import SimpleAuth  # type: ignore
+
+
+class ScanDynamoTable:
+    """Return all records in a given table.  Potentially very expensive."""
+
+    def __init__(self, table_name: str):
+        """
+        :param table_name: The name of hte Dynamo DB table to scan
+        :return: Json Data structure containing the requested data.
+        """
+        self.table_name = table_name
+
+    def execute(self, config, task_data):
+        """Execute."""
+        dynamodb = SimpleAuth("dynamodb", config).get_resource()
+        table = dynamodb.Table(self.table_name)
+        result = table.scan()
+        if "ResponseMetadata" in result:
+            del result["ResponseMetadata"]
+        result_str = json.dumps(result, use_decimal=True)
+        return dict(response=result_str, mimetype="application/json")

src/connector_aws/commands/uploadFile.py

@@ -0,0 +1,57 @@
+"""UploadFile."""
+import base64
+
+from botocore.exceptions import ClientError  # type: ignore
+from connector_aws.auths.simpleAuth import SimpleAuth  # type: ignore
+
+
+class UploadFileData:
+    """UploadFileData."""
+
+    def __init__(
+        self,
+        file_data: str,
+        bucket: str,
+        object_name: str,
+    ):
+        """
+        :param file_data: Contents of file to be uploaded
+        :param bucket: Bucket to upload to
+        :param object_name: S3 object name.
+        :return: Json Data structure containing a http status code (hopefully '200' for success..)
+            and a response string.
+        """
+        self.file_data = file_data
+        self.bucket = bucket
+        self.object_name = object_name
+
+    def execute(self, config, task_data):
+        """Execute."""
+        file_data = self.parse_file_data(self.file_data)
+
+        # Upload the file
+        client = SimpleAuth("s3", config).get_resource()
+        try:
+            result = client.Object(self.bucket, self.object_name).put(Body=file_data)
+            status = str(result["ResponseMetadata"]["HTTPStatusCode"])
+
+            # TODO these can be improved
+            if status == "200":
+                response = '{ "result": "success" }'
+            else:
+                response = '{ "result": "error" }'
+        except ClientError as e:
+            response = f'{ "error": "AWS Excetion {e}" }'
+            status = "500"
+
+        return {"response": response, "status": status, "mimetype": "application/json"}
+
+    def parse_file_data(self, raw_data):
+        """Parse_file_data."""
+        # looks like:
+        # "data:application/pdf;name=Harmeet_13435%20(1).pdf;base64,JVBERi0xLjQKJZOMi54gUmVwb3J0TGFiIEdlb....="
+        parts = raw_data.split(";", 2)
+        base64_data = parts[2].removeprefix("base64,")
+        file_data = base64.b64decode(base64_data)
+
+        return file_data

tests/connector_aws/unit/test_dynamodb.py

@@ -0,0 +1,82 @@
+import simplejson as json
+
+from moto import mock_dynamodb
+import boto3
+
+MY_CONFIG = {"AWS_ACCESS_KEY_ID": "1234", "AWS_SECRET_ACCESS_KEY": "4567", "AWS_REGION": "us-east-1"}
+
+
+def create_movie_table(dynamodb=None):
+    """A little helper function to make testing easier.  Creates a Movies table with year and title columns."""
+    if not dynamodb:
+        dynamodb = boto3.resource('dynamodb', region_name='us-east-1')
+
+    table = dynamodb.create_table(
+        TableName='Movies',
+        KeySchema=[
+            {
+                'AttributeName': 'year',
+                'KeyType': 'HASH'
+            },
+            {
+                'AttributeName': 'title',
+                'KeyType': 'RANGE'
+            }
+        ],
+        AttributeDefinitions=[
+            {
+                'AttributeName': 'year',
+                'AttributeType': 'N'
+            },
+            {
+                'AttributeName': 'title',
+                'AttributeType': 'S'
+            }
+        ],
+        ProvisionedThroughput={
+            'ReadCapacityUnits': 1,
+            'WriteCapacityUnits': 1
+        }
+    )
+
+
+def add_sample_records():
+    from connector_aws.commands.addDynamoItem import AddDynamoItem
+    AddDynamoItem('Movies', {'year': 1982, 'title': 'Blade Runner'}).execute(MY_CONFIG, {})
+    AddDynamoItem('Movies', {'year': 1964, 'title': 'Dr. Strange Love'}).execute(MY_CONFIG, {})
+
+
+@mock_dynamodb
+def test_create_dynamo_item():
+    from connector_aws.commands.addDynamoItem import AddDynamoItem
+    create_movie_table()
+    add_dynamo_item_method = AddDynamoItem('Movies', {'year': 1982, 'title': 'Blade Runner'})
+    assert (add_dynamo_item_method.table_name == 'Movies')
+    response = add_dynamo_item_method.execute(MY_CONFIG, {});
+    assert response == {'mimetype': 'application/json', 'response': '{}'}
+
+
+@mock_dynamodb
+def test_query_dynamedb():
+    from connector_aws.commands.queryDynamoTable import QueryDynamoTable
+    create_movie_table()
+
+    response = json.loads(QueryDynamoTable('Movies', 1982).execute(MY_CONFIG, {})['response'])
+    assert response == {"Items": [], "Count": 0, "ScannedCount": 0}
+
+    add_sample_records()
+    response = json.loads(QueryDynamoTable('Movies', 1982).execute(MY_CONFIG, {})['response'])
+    assert response == {'Items': [{'year': 1982, 'title': 'Blade Runner'}], 'Count': 1, 'ScannedCount': 2}
+
+
+@mock_dynamodb
+def test_scan_dynamodb():
+    from connector_aws.commands.scanDynamoTable import ScanDynamoTable
+    create_movie_table()
+    add_sample_records()
+    response = json.loads(ScanDynamoTable('Movies').execute(MY_CONFIG, {})['response'])
+    assert response == {'Items': [
+        {'year': 1982, 'title': 'Blade Runner'},
+        {'year': 1964, 'title': 'Dr. Strange Love'}],
+        'Count': 2, 'ScannedCount': 2}
+

tests/connector_aws/unit/test_s3.py

@@ -0,0 +1,18 @@
+import simplejson as json
+import boto3
+from moto import mock_s3
+
+MY_CONFIG = {"AWS_ACCESS_KEY_ID": "1234", "AWS_SECRET_ACCESS_KEY": "4567", "AWS_REGION": "us-east-1"}
+
+@mock_s3
+def test_my_model_save():
+    from connector_aws.commands.uploadFile import UploadFileData
+    conn = boto3.resource('s3', region_name='us-east-1')
+    # We need to create the bucket since this is all in Moto's 'virtual' AWS account
+    bucket_name = "my_test_bucket"
+    conn.create_bucket(Bucket=bucket_name)
+
+    # Now call the Upload File Data
+    file_data = "data:application/pdf;name=Harmeet_13435%20(1).pdf;base64,JVBERi0xLjQKJZOMi54gUmVwb3J0TFiIEdlb="
+    response = json.loads(UploadFileData(file_data, bucket_name, 'file.txt').execute(MY_CONFIG, {})['response'])
+    assert response == {'result': 'success'}