Presto adapter

.github/workflows/imports-linux.yml

@@ -29,6 +29,7 @@ jobs:
         pip install .[redshift]
         pip install .[postgres]
         pip install .[trino]
+        pip install .[presto]
         pip install .[pyspark]
         pip install .[dbt]
         pip install .[docker]

.github/workflows/imports-macosx.yml

@@ -29,6 +29,7 @@ jobs:
         pip install .[redshift]
         pip install .[postgres]
         pip install .[trino]
+        pip install .[presto]
         pip install .[pyspark]
         pip install .[dbt]
         pip install .[docker]

.github/workflows/imports-windows.yml

@@ -29,6 +29,7 @@ jobs:
         pip install .[redshift]
         pip install .[postgres]
         pip install .[trino]
+        pip install .[presto]
         pip install .[pyspark]
         pip install .[dbt]
         pip install .[docker]

README.md

@@ -60,6 +60,7 @@ Adapters allow users to connect to data warehouses or analytics engines. Prism c
 | **dbt** | ```pip install "prism-ds[dbt]"``` |
 | **Google BigQuery** | ```pip install "prism-ds[bigquery]"``` |
 | **Postgres** | ```pip install "prism-ds[postgres]"``` |
+| **Presto** | ```pip install "prism-ds[presto]"``` |
 | **PySpark** | ```pip install "prism-ds[pyspark]"``` |
 | **Redshift** | ```pip install "prism-ds[redshift]"``` |
 | **Snowflake** | ```pip install "prism-ds[snowflake]"``` |

dev_requirements.txt

@@ -2,6 +2,7 @@
 -e .[bigquery]
 -e .[redshift]
 -e .[postgres]
+-e .[presto]
 -e .[trino]
 -e .[pyspark]
 -e .[dbt]

prism/constants.py

@@ -17,7 +17,7 @@
 #############
 
 # Version number
-VERSION = '0.2.1'
+VERSION = '0.2.2'
 
 # Root directory of project
 ROOT_DIR = str(Path(os.path.dirname(__file__)).parent)
@@ -35,6 +35,7 @@
     "redshift",
     "snowflake",
     "trino",
+    "presto",
 ]
 
 # Task types

prism/infra/hooks.py

@@ -42,6 +42,7 @@ def get_connection(self, adapter_name: str):
             - Redshift --> psycopg2.Connection
             - Snowflake --> snowflake.connector.Connection
             - Trino --> trino.dbapi.Connection
+            - Presto --> prestodb.dbapi.Connection
 
         args:
             adapter_name: SQL adapter

prism/profiles/presto.py

@@ -0,0 +1,186 @@
+"""
+Presto adapter class definition
+
+Table of Contents
+- Imports
+- Class definition
+"""
+
+###########
+# Imports #
+###########
+
+# Standard library imports
+import pandas as pd
+from typing import Any, Dict, Optional
+import prestodb
+
+# Prism-specific imports
+from .adapter import Adapter
+import prism.exceptions
+
+
+####################
+# Class definition #
+####################
+
+class Presto(Adapter):
+
+    def is_valid_config(self,
+        config_dict: Dict[str, str],
+        adapter_name: str,
+        profile_name: str,
+    ) -> bool:
+        """
+        Check that config dictionary is profile YML is valid
+
+        args:
+            config_dict: config dictionary under PostgresQL adapter in profile YML
+            adapter_name: name assigned to adapter
+            profile_name: profile name containing adapter
+        returns:
+            boolean indicating whether config dictionary in profile YML is valid
+        """
+
+        # Required config vars
+        required_config_vars = [
+            'type',
+            'user',
+            'password',
+            'port',
+            'host',
+        ]
+
+        # Optional config vars
+        optional_config_vars = [
+            'http_scheme',
+            'catalog',
+            'schema',
+        ]
+
+        # Raise an error if:
+        #   1. Config doesn't contain any of the required vars or contains additional
+        #      config vars
+        #   2. Any of the config values are None
+        actual_config_vars = []
+        for k, v in config_dict.items():
+            if k not in required_config_vars and k not in optional_config_vars:
+                raise prism.exceptions.InvalidProfileException(
+                    message=f'invalid var `{k}` - see `{adapter_name}` adapter in `{profile_name}` profile in profile YML'  # noqa: E501
+                )
+            if k in required_config_vars:
+                actual_config_vars.append(k)
+            if v is None:
+                raise prism.exceptions.InvalidProfileException(
+                    message=f'var `{k}` cannot be None - see `{adapter_name}` adapter in `{profile_name}` profile in profile YML'  # noqa: E501
+                )
+        vars_not_defined = list(set(required_config_vars) - set(actual_config_vars))
+        if len(vars_not_defined) > 0:
+            v = vars_not_defined.pop()
+            raise prism.exceptions.InvalidProfileException(
+                message=f'var `{v}` must be defined - see `{adapter_name}` adapter in `{profile_name}` profile in profile YML'  # noqa: E501
+            )
+
+        # If the schema is specified, then Trino requires that the catalog is also
+        # specified. However, the user can choose to only specify the catalog if they
+        # choose.
+        catalog_schema_specs = {}
+        for var in ['schema', 'catalog']:
+            catalog_schema_specs[var] = (
+                var in list(config_dict.keys())
+                and (  # noqa: W503
+                    config_dict[var] is not None or config_dict[var] != ""
+                )
+            )
+        if catalog_schema_specs['schema'] and not catalog_schema_specs['catalog']:
+            raise prism.exceptions.InvalidProfileException(
+                message=f"`schema` is set but `catalog` is not in `{profile_name}` profile in profile YML"  # noqa: E501
+            )
+
+        # If no exception has been raised, return True
+        return True
+
+    def create_engine(self,
+        adapter_dict: Dict[str, Any],
+        adapter_name: str,
+        profile_name: str
+    ):
+        """
+        Parse PostgresQL adapter, represented as a dict and return the PostgresQL
+        connector object
+
+        args:
+            adapter_dict: PostgresQL adapter represented as a dictionary
+            adapter_name: name assigned to adapter
+            profile_name: profile name containing adapter
+        returns:
+            PostgresQL connector object
+        """
+
+        # Get configuration and check if config is valid
+        self.is_valid_config(adapter_dict, adapter_name, profile_name)
+
+        # Schema is present. Since this is a valid config dict, then we know that
+        # catalog must be present.
+        if 'schema' in list(adapter_dict.keys()):
+            conn = prestodb.dbapi.connect(
+                host=adapter_dict['host'],
+                port=adapter_dict['port'],
+                http_scheme=adapter_dict.get('http_schema', 'https'),
+                auth=prestodb.auth.BasicAuthentication(
+                    adapter_dict['user'],
+                    adapter_dict['password']
+                ),
+                catalog=adapter_dict['catalog'],
+                schema=adapter_dict['schema']
+            )
+
+        # Just catalog is present
+        elif 'catalog' in list(adapter_dict.keys()):
+            conn = prestodb.dbapi.connect(
+                host=adapter_dict['host'],
+                port=adapter_dict['port'],
+                http_scheme=adapter_dict.get('http_schema', 'https'),
+                auth=prestodb.auth.BasicAuthentication(
+                    adapter_dict['user'],
+                    adapter_dict['password']
+                ),
+                catalog=adapter_dict['catalog']
+            )
+
+        # Neither catalog nor schema is present
+        else:
+            conn = prestodb.dbapi.connect(
+                host=adapter_dict['host'],
+                port=adapter_dict['port'],
+                http_scheme=adapter_dict.get('http_schema', 'https'),
+                auth=prestodb.auth.BasicAuthentication(
+                    adapter_dict['user'],
+                    adapter_dict['password']
+                )
+            )
+
+        return conn
+
+    def execute_sql(self, query: str, return_type: Optional[str]) -> pd.DataFrame:
+        """
+        Execute the SQL query
+        """
+        # Create cursor for every SQL query -- this ensures thread safety
+        cursor = self.engine.cursor()
+        cursor.execute(query)
+        data = cursor.fetchall()
+
+        # If the return type is `pandas`, then return a DataFrame
+        if return_type == "pandas":
+            cols = []
+            for elts in cursor.description:
+                cols.append(elts[0])
+            df: pd.DataFrame = pd.DataFrame(data=data, columns=cols)
+            cursor.close()
+            return df
+
+        # Otherwise, return the data as it exists
+        else:
+            cursor.close()
+            return data

prism/templates/profile/presto/profile.yml

@@ -0,0 +1,11 @@
+default:
+  adapters:
+    presto_adapter_name_here: # change this!
+      type: presto
+      host:
+      http_scheme: https
+      port:
+      user:
+      password:
+      catalog:
+      schema:

setup.cfg

@@ -3,7 +3,7 @@ name = prism-ds
 description = The easiest way to create data pipelines in Python.
 long_description_content_type = text/markdown
 long_description = file: README.md
-version = 0.2.1
+version = 0.2.2
 author = prism founders
 author_email = hello@runprism.com
 license = Apache-2.0
@@ -56,6 +56,8 @@ postgres =
     psycopg2-binary>=2.9
 trino =
     trino>=0.319
+presto =
+    presto-python-client>=0.8
 pyspark =
     pyspark>=3
 dbt =