Support more sources and targets (#14)

* added target options to write to Snowflake target

* addes support for ingestion job to write to Snowflake target #10

* added support for merge/insert to load to other targets #11

* override get strategi to make config options insensitive

* improved error message for unsupported types #7

* added type dict options support

* added add_missing_columns option to snowflake transformation options

* added target_type to the models according to the new syntax

* changed column_transformations data type

* made default Datalake for target_type

* corrected typo in options, made made target_connection required

* v0.2.2

---------

Co-authored-by: Tanya Shemet <tanyshak@gmail.com>

Author: navado

dbt/adapters/upsolver/__version__.py

@@ -1 +1 @@
-version = "0.2.1"
+version = "0.2.2"

dbt/adapters/upsolver/impl.py

@@ -7,8 +7,7 @@
 from dbt.adapters.upsolver.options.copy_options import Copy_options
 from dbt.adapters.upsolver.options.connection_options import Connection_options
 from dbt.adapters.upsolver.options.transformation_options import Transformation_options
-from dbt.adapters.upsolver.options.table_options import Table_options
-from dbt.adapters.upsolver.options.materialized_view_options import Materialized_view_options
+from dbt.adapters.upsolver.options.target_options import Target_options
 import agate
 import datetime
 import re
@@ -50,7 +49,7 @@ def get_connection_from_sql(self, sql):
                                       .translate(str.maketrans({'\"':'', '\'':''}))
             return connection_identifier
         except Exception:
-            raise dbt.exceptions.ParsingError(f"Error while parsing connection name from sql:\n{sql}")
+            raise dbt.exceptions.ParsingError(f"Error while parsing connection name from sql: {sql}")
 
     @available
     def get_columns_names_with_types(self, list_dict):
@@ -73,6 +72,31 @@ def separate_options(self, config_options, source):
         source_options = self.enrich_options(config_options, source, 'source_options')
         return job_options, source_options
 
+    def render_option_from_dict(self, option_value):
+        res = []
+        try:
+            for key, value in option_value.items():
+                item = [f'{key}=']
+                if isinstance(value, list):
+                    item.append('(')
+                    item.append(' ,'.join(value))
+                    item.append(')')
+                else:
+                    item.append(value)
+                res.append(''.join(item))
+            return f"({' ,'.join(res)})"
+        except Exception:
+            raise dbt.exceptions.ParsingError(f"Error while parsing value: {value}")
+
+    def render_option_from_list(self, option_value):
+        try:
+            if not isinstance(option_value, str):
+                return tuple(i for i in option_value)
+            else:
+                return f"('{option_value}')"
+        except Exception:
+            raise dbt.exceptions.ParsingError(f"Error while parsing value: {value}")
+
     @available
     def enrich_options(self, config_options, source, options_type):
         options = self.get_options(source, options_type)
@@ -81,10 +105,9 @@ def enrich_options(self, config_options, source, options_type):
             find_value = options.get(option.lower(), None)
             if find_value:
                 if options[option.lower()]['type'] == 'list':
-                    if not isinstance(value, str):
-                        value = tuple(i for i in value)
-                    else:
-                        value = f"('{value}')"
+                    value = self.render_option_from_list(value)
+                elif options[option.lower()]['type'] == 'dict':
+                    value = self.render_option_from_dict(value)
                 enriched_options[option] = find_value
                 enriched_options[option]['value'] = value
             else:
@@ -96,18 +119,35 @@ def filter_options(self, options, parametr):
         editable = {key:val for key, val in options.items() if val[parametr] == True}
         return editable
 
-    def get_options(self, source, options_type):
-        if options_type == 'connection_options':
-            options = Connection_options[source.lower()]
-        elif options_type == 'transformation_options':
-            options = Transformation_options[source.lower()]
-        elif options_type == 'table_options':
-            options = Table_options
-        elif options_type == 'materialized_view_options':
-            options = Materialized_view_options
+    @available
+    def get(self, config, key, default=None):
+        config = {k.lower(): v for k, v in config.items()}
+        value = config.get(key, default)
+        return value
+
+    @available
+    def require(self, config, key):
+        config = {k.lower(): v for k, v in config.items()}
+        value = config.get(key, None)
+        if value:
+            return value
         else:
-            options = Copy_options[source.lower()][options_type]
-        return options
+            raise dbt.exceptions.ParsingError(f"Required option is missing: {key}")
+
+
+    def get_options(self, source, options_type):
+        try:
+            if options_type == 'connection_options':
+                options = Connection_options[source.lower()]
+            elif options_type == 'transformation_options':
+                options = Transformation_options[source.lower()]
+            elif options_type == 'target_options':
+                options = Target_options[source.lower()]
+            else:
+                options = Copy_options[source.lower()][options_type]
+            return options
+        except Exception:
+            raise dbt.exceptions.ParsingError(f"Undefined option value: {source}")
 
     def list_relations_without_caching(
         self,

dbt/adapters/upsolver/options/materialized_view_options.py

@@ -0,0 +1,28 @@
+Target_options = {
+  "datalake": {
+      "globally_unique_keys": {"type": "boolean", "editable": False, "optional": True},
+      "storage_connection": {"type": "identifier", "editable": False, "optional": True},
+      "storage_location": {"type": "text", "editable": False, "optional": True},
+      "compute_cluster": {"type": "identifier", "editable": True, "optional": True},
+      "compression": {"type": "value", "editable": True, "optional": True},
+      "compaction_processes": {"type": "integer", "editable": True, "optional": True},
+      "disable_compaction": {"type": "boolean", "editable": True, "optional": True},
+      "retention_date_partition": {"type": "text", "editable": True, "optional": True},
+      "table_data_retention": {"type": "text", "editable": True, "optional": True},
+      "column_data_retention": {"type": "text", "editable": True, "optional": True},
+      "comment": {"type": "text", "editable": True, "optional": True}
+  },
+  "materialized_view": {
+      "storage_connection": {"type": "identifier", "editable": False, "optional": True},
+      "storage_location": {"type": "text", "editable": False, "optional": True},
+      "max_time_travel_duration": {"type": "integer", "editable": True, "optional": True},
+      "compute_cluster": {"type": "identifier", "editable": True, "optional": True},
+  },
+  "snowflake": {
+        "column_transformations": {"type": "dict", "editable": False, "optional": True},
+        "deduplicate_with": {"type": "dict", "editable": False, "optional": True},
+        "exclude_columns": {"type": "list", "editable": False, "optional": True},
+        "create_table_if_missing": {"type": "boolean", "editable": False, "optional": True},
+        "write_interval": {"type": "integer", "editable": False, "optional": True},
+  }
+}

dbt/adapters/upsolver/options/table_options.py

@@ -13,7 +13,7 @@
         "output_offset": {"type": "integer", "editable": False, "optional": True},
         "location": {"type": "text", "editable": False, "optional": True}
   },
-  'elasticsearch': {
+  "elasticsearch": {
         "run_interval": {"type": "ineger", "editable": False, "optional": True},
         "start_from": {"type": "value", "editable": False, "optional": True},
         "end_at": {"type": "value", "editable": True, "optional": True},
@@ -25,7 +25,8 @@
         "index_partition_size": {"type": "value", "editable": True, "optional": True},
         "comment": {"type": "text", "editable": True, "optional": True}
   },
-  'snowflake': {
+  "snowflake": {
+        "add_missing_columns": {"type": "boolean", "editable": False, "optional": True},
         "run_interval": {"type": "ineger", "editable": False, "optional": True},
         "start_from": {"type": "value", "editable": False, "optional": True},
         "end_at": {"type": "value", "editable": True, "optional": True},
@@ -35,7 +36,7 @@
         "run_parallelism": {"type": "integer", "editable": True, "optional": True},
         "comment": {"type": "text", "editable": True, "optional": True}
   },
-    'upsolver_data_lake': {
+    "datalake": {
         "add_missing_columns": {"type": "boolean", "editable": False, "optional": True},
         "run_interval": {"type": "ineger", "editable": False, "optional": True},
         "start_from": {"type": "value", "editable": False, "optional": True},
@@ -46,15 +47,15 @@
         "run_parallelism": {"type": "integer", "editable": True, "optional": True},
         "comment": {"type": "text", "editable": True, "optional": True}
     },
-    'redshift': {
+    "redshift": {
         "run_interval": {"type": "ineger", "editable": False, "optional": True},
         "start_from": {"type": "value", "editable": False, "optional": True},
         "end_at": {"type": "value", "editable": True, "optional": True},
         "compute_cluster": {"type": "identifier", "editable": True, "optional": True},
         "allow_cartesian_products": {"type": "boolean", "editable": False, "optional": True},
         "aggregation_parallelism": {"type": "integer", "editable": True, "optional": True},
         "run_parallelism": {"type": "integer", "editable": True, "optional": True},
-        "skip_faild_files": {"type": "boolean", "editable": False, "optional": True},
+        "skip_failed_files": {"type": "boolean", "editable": False, "optional": True},
         "fail_on_write_error": {"type": "boolean", "editable": False, "optional": True},
         "comment": {"type": "text", "editable": True, "optional": True}
     }

dbt/adapters/upsolver/options/target_options.py

@@ -1,8 +1,8 @@
 {% materialization connection, adapter='upsolver' %}
   {%- set identifier = model['alias'] -%}
-
-  {% set connection_type = config.require('connection_type') %}
-  {% set connection_options = config.require('connection_options') %}
+  {%- set model_config = model['config'] -%}
+  {% set connection_type = adapter.require(model_config, 'connection_type') %}
+  {% set connection_options = adapter.require(model_config, 'connection_options') %}
   {% set enriched_options = adapter.enrich_options(connection_options, connection_type, 'connection_options') %}
   {% set enriched_editable_options = adapter.filter_options(enriched_options, 'editable') %}
 

dbt/adapters/upsolver/options/transformation_options.py

@@ -1,16 +1,24 @@
-{% macro get_create_copy_job_sql(job_identifier, sql, table, sync, options, source) -%}
+{% macro get_create_copy_job_sql(job_identifier, sql, into_relation, sync, options, source, target_type) -%}
 
     {% set connection_identifier = adapter.get_connection_from_sql(sql) %}
     {% set job_options, source_options = adapter.separate_options(options, source) %}
+    {%- if target_type != 'datalake' -%}
+      {% set target_options = adapter.enrich_options(options, target_type, 'target_options') %}
+      {% set target_type = target_type %}
+    {%- else -%}
+      {% set target_options = {} %}
+      {% set target_type = '' %}
+    {%- endif -%}
 
     CREATE
     {% if sync %}
       SYNC
     {% endif %}
     JOB {{job_identifier}}
     {{ render_options(job_options, 'create') }}
+    {{ render_options(target_options, 'create') }}
     AS COPY FROM {{source}} {{connection_identifier}}
     {{ render_options(source_options, 'create') }}
-    INTO {{table}}
+    INTO {{target_type}} {{into_relation}}
 
 {%- endmacro %}

dbt/include/upsolver/macros/materializations/connection.sql

@@ -1,14 +1,17 @@
-{% macro get_create_insert_job_sql(job_identifier, table, sync, options, map_columns_by_name) -%}
+{% macro get_create_insert_job_sql(job_identifier, into_relation, sync, options, map_columns_by_name, target_type) -%}
 
-  {% set enriched_options = adapter.enrich_options(options, 'upsolver_data_lake', 'transformation_options') %}
+  {% set enriched_options = adapter.enrich_options(options, target_type, 'transformation_options') %}
+  {%- if target_type == 'datalake' -%}
+    {% set target_type = '' %}
+  {%- endif -%}
 
   CREATE
   {% if sync %}
     SYNC
   {% endif %}
   JOB {{job_identifier}}
     {{ render_options(enriched_options, 'create') }}
-  AS INSERT INTO {{table}}
+  AS INSERT INTO {{target_type}} {{into_relation}}
   {% if map_columns_by_name %}
     MAP_COLUMNS_BY_NAME
   {% endif %}

dbt/include/upsolver/macros/materializations/incremental/create_copy_job.sql

@@ -1,14 +1,18 @@
-{% macro get_create_merge_job_sql(job_identifier, table, sync, options, primary_key, delete_condition) -%}
+{% macro get_create_merge_job_sql(job_identifier, into_relation, sync, options, primary_key, delete_condition, target_type) -%}
 
-  {% set enriched_options = adapter.enrich_options(options, 'upsolver_data_lake', 'transformation_options') %}
+  {% set enriched_options = adapter.enrich_options(options, target_type, 'transformation_options') %}
+
+  {%- if target_type == 'datalake' -%}
+    {% set target_type = '' %}
+  {%- endif -%}
 
   CREATE
   {% if sync %}
     SYNC
   {% endif %}
   JOB {{ job_identifier }}
     {{ render_options(enriched_options, 'create') }}
-  AS MERGE INTO {{ table }} AS target
+  AS MERGE INTO {{ target_type }} {{ into_relation }} AS target
   USING (
   {{ sql }}
   )