add --state flag feature to dbt

Author: dlawin

data_diff/__main__.py

@@ -1,5 +1,6 @@
 from copy import deepcopy
 from datetime import datetime
+import os
 import sys
 import time
 import json
@@ -233,7 +234,14 @@ def write_usage(self, prog: str, args: str = "", prefix: Optional[str] = None) -
     "-s",
     default=None,
     metavar="PATH",
-    help="select dbt resources to compare using dbt selection syntax",
+    help="select dbt resources to compare using dbt selection syntax.",
+)
+@click.option(
+    "--state",
+    "-s",
+    default=None,
+    metavar="PATH",
+    help="Specify manifest to utilize for 'prod' comparison paths instead of using configuration.",
 )
 def main(conf, run, **kw):
     if kw["table2"] is None and kw["database2"]:
@@ -266,12 +274,16 @@ def main(conf, run, **kw):
         logging.basicConfig(level=logging.WARNING, format=LOG_FORMAT, datefmt=DATE_FORMAT)
 
     try:
+        state = kw.pop("state", None)
+        if state:
+            state = os.path.expanduser(state)
         if kw["dbt"]:
             dbt_diff(
                 profiles_dir_override=kw["dbt_profiles_dir"],
                 project_dir_override=kw["dbt_project_dir"],
                 is_cloud=kw["cloud"],
                 dbt_selection=kw["select"],
+                state=state,
             )
         else:
             return _data_diff(**kw)

data_diff/cloud/data_source.py

@@ -52,9 +52,9 @@ def _validate_temp_schema(temp_schema: str):
 
 
 def _get_temp_schema(dbt_parser: DbtParser, db_type: str) -> Optional[str]:
-    diff_vars = dbt_parser.get_datadiff_variables()
-    config_prod_database = diff_vars.get("prod_database")
-    config_prod_schema = diff_vars.get("prod_schema")
+    config = dbt_parser.get_datadiff_config()
+    config_prod_database = config.prod_database
+    config_prod_schema = config.prod_schema
     if config_prod_database is not None and config_prod_schema is not None:
         temp_schema = f"{config_prod_database}.{config_prod_schema}"
         if db_type == "snowflake":

data_diff/dbt.py

@@ -1,16 +1,17 @@
 import os
 import time
 import webbrowser
-from typing import List, Optional, Dict
+from typing import List, Optional, Dict, Tuple, Union
 import keyring
-
 import pydantic
 import rich
 from rich.prompt import Confirm
 
+from data_diff.errors import DataDiffCustomSchemaNoConfigError, DataDiffDbtProjectVarsNotFoundError
+
 from . import connect_to_table, diff_tables, Algorithm
 from .cloud import DatafoldAPI, TCloudApiDataDiff, TCloudApiOrgMeta, get_or_create_data_source
-from .dbt_parser import DbtParser, PROJECT_FILE
+from .dbt_parser import DbtParser, PROJECT_FILE, TDatadiffConfig
 from .tracking import (
     set_entrypoint_name,
     set_dbt_user_id,
@@ -52,24 +53,23 @@ def dbt_diff(
     project_dir_override: Optional[str] = None,
     is_cloud: bool = False,
     dbt_selection: Optional[str] = None,
+    state: Optional[str] = None,
 ) -> None:
     print_version_info()
     diff_threads = []
     set_entrypoint_name("CLI-dbt")
-    dbt_parser = DbtParser(profiles_dir_override, project_dir_override)
+    dbt_parser = DbtParser(profiles_dir_override, project_dir_override, state)
     models = dbt_parser.get_models(dbt_selection)
-    datadiff_variables = dbt_parser.get_datadiff_variables()
-    config_prod_database = datadiff_variables.get("prod_database")
-    config_prod_schema = datadiff_variables.get("prod_schema")
-    config_prod_custom_schema = datadiff_variables.get("prod_custom_schema")
-    datasource_id = datadiff_variables.get("datasource_id")
+    config = dbt_parser.get_datadiff_config()
+
     set_dbt_user_id(dbt_parser.dbt_user_id)
     set_dbt_version(dbt_parser.dbt_version)
     set_dbt_project_id(dbt_parser.dbt_project_id)
 
-    if datadiff_variables.get("custom_schemas") is not None:
-        logger.warning(
-            "vars: data_diff: custom_schemas: is no longer used and can be removed.\nTo utilize custom schemas, see the documentation here: https://docs.datafold.com/development_testing/open_source"
+    if not state and not (config.prod_database or config.prod_schema):
+        doc_url = "https://docs.datafold.com/development_testing/open_source#configure-your-dbt-project"
+        raise DataDiffDbtProjectVarsNotFoundError(
+            f"""vars: data_diff: section not found in dbt_project.yml.\n\nTo solve this, please configure your dbt project: \n{doc_url}\n\nOr specify a production manifest using the `--state` flag."""
         )
 
     if is_cloud:
@@ -79,13 +79,13 @@ def dbt_diff(
             return
         org_meta = api.get_org_meta()
 
-        if datasource_id is None:
+        if config.datasource_id is None:
             rich.print("[red]Data source ID not found in dbt_project.yml")
             is_create_data_source = Confirm.ask("Would you like to create a new data source?")
             if is_create_data_source:
-                datasource_id = get_or_create_data_source(api=api, dbt_parser=dbt_parser)
+                config.datasource_id = get_or_create_data_source(api=api, dbt_parser=dbt_parser)
                 rich.print(f'To use the data source in next runs, please, update your "{PROJECT_FILE}" with a block:')
-                rich.print(f"[green]vars:\n  data_diff:\n    datasource_id: {datasource_id}\n")
+                rich.print(f"[green]vars:\n  data_diff:\n    datasource_id: {config.datasource_id}\n")
                 rich.print(
                     "Read more about Datafold vars in docs: "
                     "https://docs.datafold.com/os_diff/dbt_integration/#configure-a-data-source\n"
@@ -96,21 +96,29 @@ def dbt_diff(
                     "\nvars:\n data_diff:\n   datasource_id: 1234"
                 )
 
-        data_source = api.get_data_source(datasource_id)
+        data_source = api.get_data_source(config.datasource_id)
         dbt_parser.set_casing_policy_for(connection_type=data_source.type)
         rich.print("[green][bold]\nDiffs in progress...[/][/]\n")
 
     else:
         dbt_parser.set_connection()
 
     for model in models:
-        diff_vars = _get_diff_vars(
-            dbt_parser, config_prod_database, config_prod_schema, config_prod_custom_schema, model
-        )
+        diff_vars = _get_diff_vars(dbt_parser, config, model)
+
+        # we won't always have a prod path when using state
+        # when the model DNE in prod manifest, skip the model diff
+        if (
+            state and len(diff_vars.prod_path) < 2
+        ):  # < 2 because some providers like databricks can legitimately have *only* 2
+            diff_output_str = _diff_output_base(".".join(diff_vars.dev_path), ".".join(diff_vars.prod_path))
+            diff_output_str += "[green]New model: nothing to diff![/] \n"
+            rich.print(diff_output_str)
+            continue
 
         if diff_vars.primary_keys:
             if is_cloud:
-                diff_thread = run_as_daemon(_cloud_diff, diff_vars, datasource_id, api, org_meta)
+                diff_thread = run_as_daemon(_cloud_diff, diff_vars, config.datasource_id, api, org_meta)
                 diff_threads.append(diff_thread)
             else:
                 _local_diff(diff_vars)
@@ -128,41 +136,19 @@ def dbt_diff(
 
 def _get_diff_vars(
     dbt_parser: "DbtParser",
-    config_prod_database: Optional[str],
-    config_prod_schema: Optional[str],
-    config_prod_custom_schema: Optional[str],
+    config: TDatadiffConfig,
     model,
 ) -> TDiffVars:
     dev_database = model.database
     dev_schema = model.schema_
 
     primary_keys = dbt_parser.get_pk_from_model(model, dbt_parser.unique_columns, "primary-key")
 
-    # "custom" dbt config database
-    if model.config.database:
-        prod_database = model.config.database
-    elif config_prod_database:
-        prod_database = config_prod_database
+    # prod path is constructed via configuration or the prod manifest via --state
+    if dbt_parser.prod_manifest_obj:
+        prod_database, prod_schema = _get_prod_path_from_manifest(model, dbt_parser.prod_manifest_obj)
     else:
-        prod_database = dev_database
-
-    # prod schema name differs from dev schema name
-    if config_prod_schema:
-        custom_schema = model.config.schema_
-
-        # the model has a custom schema config(schema='some_schema')
-        if custom_schema:
-            if not config_prod_custom_schema:
-                raise ValueError(
-                    f"Found a custom schema on model {model.name}, but no value for\nvars:\n  data_diff:\n    prod_custom_schema:\nPlease set a value!\n"
-                    + "For more details see: https://docs.datafold.com/development_testing/open_source"
-                )
-            prod_schema = config_prod_custom_schema.replace("<custom_schema>", custom_schema)
-        # no custom schema, use the default
-        else:
-            prod_schema = config_prod_schema
-    else:
-        prod_schema = dev_schema
+        prod_database, prod_schema = _get_prod_path_from_config(config, model, dev_database, dev_schema)
 
     if dbt_parser.requires_upper:
         dev_qualified_list = [x.upper() for x in [dev_database, dev_schema, model.alias] if x]
@@ -186,6 +172,45 @@ def _get_diff_vars(
     )
 
 
+def _get_prod_path_from_config(config, model, dev_database, dev_schema) -> Tuple[str, str]:
+    # "custom" dbt config database
+    if model.config.database:
+        prod_database = model.config.database
+    elif config.prod_database:
+        prod_database = config.prod_database
+    else:
+        prod_database = dev_database
+
+    # prod schema name differs from dev schema name
+    if config.prod_schema:
+        custom_schema = model.config.schema_
+
+        # the model has a custom schema config(schema='some_schema')
+        if custom_schema:
+            if not config.prod_custom_schema:
+                raise DataDiffCustomSchemaNoConfigError(
+                    f"Found a custom schema on model {model.name}, but no value for\nvars:\n  data_diff:\n    prod_custom_schema:\nPlease set a value or utilize the `--state` flag!\n\n"
+                    + "For more details see: https://docs.datafold.com/development_testing/open_source"
+                )
+            prod_schema = config.prod_custom_schema.replace("<custom_schema>", custom_schema)
+            # no custom schema, use the default
+        else:
+            prod_schema = config.prod_schema
+    else:
+        prod_schema = dev_schema
+    return prod_database, prod_schema
+
+
+def _get_prod_path_from_manifest(model, prod_manifest) -> Union[Tuple[str, str], Tuple[None, None]]:
+    prod_database = None
+    prod_schema = None
+    prod_model = prod_manifest.nodes.get(model.unique_id, None)
+    if prod_model:
+        prod_database = prod_model.database
+        prod_schema = prod_model.schema_
+    return prod_database, prod_schema
+
+
 def _local_diff(diff_vars: TDiffVars) -> None:
     dev_qualified_str = ".".join(diff_vars.dev_path)
     prod_qualified_str = ".".join(diff_vars.prod_path)

data_diff/dbt_parser.py

@@ -16,7 +16,6 @@
     DataDiffDbtCoreNoRunnerError,
     DataDiffDbtNoSuccessfulModelsInRunError,
     DataDiffDbtProfileNotFoundError,
-    DataDiffDbtProjectVarsNotFoundError,
     DataDiffDbtRedshiftPasswordOnlyError,
     DataDiffDbtRunResultsVersionError,
     DataDiffDbtSelectNoMatchingModelsError,
@@ -88,29 +87,52 @@ class TDatadiffModelConfig(pydantic.BaseModel):
     exclude_columns: List[str] = []
 
 
+class TDatadiffConfig(pydantic.BaseModel):
+    prod_database: Optional[str] = None
+    prod_schema: Optional[str] = None
+    prod_custom_schema: Optional[str] = None
+    datasource_id: Optional[int] = None
+
+
 class DbtParser:
-    def __init__(self, profiles_dir_override: str, project_dir_override: str) -> None:
+    def __init__(
+        self,
+        profiles_dir_override: Optional[str] = None,
+        project_dir_override: Optional[str] = None,
+        state: Optional[str] = None,
+    ) -> None:
         try_set_dbt_flags()
         self.dbt_runner = try_get_dbt_runner()
         self.profiles_dir = Path(profiles_dir_override or default_profiles_dir())
         self.project_dir = Path(project_dir_override or default_project_dir())
         self.connection = {}
         self.project_dict = self.get_project_dict()
-        self.manifest_obj = self.get_manifest_obj()
-        self.dbt_user_id = self.manifest_obj.metadata.user_id
-        self.dbt_version = self.manifest_obj.metadata.dbt_version
-        self.dbt_project_id = self.manifest_obj.metadata.project_id
+        self.dev_manifest_obj = self.get_manifest_obj(self.project_dir / MANIFEST_PATH)
+        self.prod_manifest_obj = None
+        if state:
+            self.prod_manifest_obj = self.get_manifest_obj(Path(state))
+
+        self.dbt_user_id = self.dev_manifest_obj.metadata.user_id
+        self.dbt_version = self.dev_manifest_obj.metadata.dbt_version
+        self.dbt_project_id = self.dev_manifest_obj.metadata.project_id
         self.requires_upper = False
         self.threads = None
         self.unique_columns = self.get_unique_columns()
 
-    def get_datadiff_variables(self) -> dict:
-        doc_url = "https://docs.datafold.com/development_testing/open_source#configure-your-dbt-project"
-        exception = DataDiffDbtProjectVarsNotFoundError(
-            f"vars: data_diff: section not found in dbt_project.yml.\n\nTo solve this, please configure your dbt project: \n{doc_url}\n"
+    def get_datadiff_config(self) -> TDatadiffConfig:
+        data_diff_vars = self.project_dict.get("vars", {}).get("data_diff", {})
+        prod_database = data_diff_vars.get("prod_database")
+        prod_schema = data_diff_vars.get("prod_schema")
+        prod_custom_schema = data_diff_vars.get("prod_custom_schema")
+        datasource_id = data_diff_vars.get("datasource_id")
+        config = TDatadiffConfig(
+            prod_database=prod_database,
+            prod_schema=prod_schema,
+            prod_custom_schema=prod_custom_schema,
+            datasource_id=datasource_id,
         )
-        vars_dict = get_from_dict_with_raise(self.project_dict, "vars", exception)
-        return get_from_dict_with_raise(vars_dict, "data_diff", exception)
+        logger.info(f"config: {config}")
+        return config
 
     def get_datadiff_model_config(self, model_meta: dict) -> TDatadiffModelConfig:
         where_filter = None
@@ -172,7 +194,7 @@ def get_dbt_selection_models(self, dbt_selection: str) -> List[str]:
 
         if results.success and results.result:
             model_list = [json.loads(model)["unique_id"] for model in results.result]
-            models = [self.manifest_obj.nodes.get(x) for x in model_list]
+            models = [self.dev_manifest_obj.nodes.get(x) for x in model_list]
             return models
 
         if not results.result:
@@ -202,15 +224,17 @@ def get_run_results_models(self):
             )
 
         success_models = [x.unique_id for x in run_results_obj.results if x.status.name == "success"]
-        models = [self.manifest_obj.nodes.get(x) for x in success_models]
+        models = [self.dev_manifest_obj.nodes.get(x) for x in success_models]
         if not models:
-            raise DataDiffDbtNoSuccessfulModelsInRunError("Expected > 0 successful models runs from the last dbt command.")
+            raise DataDiffDbtNoSuccessfulModelsInRunError(
+                "Expected > 0 successful models runs from the last dbt command."
+            )
 
         return models
 
-    def get_manifest_obj(self):
-        with open(self.project_dir / MANIFEST_PATH) as manifest:
-            logger.info(f"Parsing file {MANIFEST_PATH}")
+    def get_manifest_obj(self, path: Path):
+        with open(path) as manifest:
+            logger.info(f"Parsing file {path}")
             manifest_dict = json.load(manifest)
             manifest_obj = parse_manifest(manifest=manifest_dict)
         return manifest_obj
@@ -315,7 +339,9 @@ def set_connection(self):
             if (credentials.get("pass") is None and credentials.get("password") is None) or credentials.get(
                 "method"
             ) == "iam":
-                raise DataDiffDbtRedshiftPasswordOnlyError("Only password authentication is currently supported for Redshift.")
+                raise DataDiffDbtRedshiftPasswordOnlyError(
+                    "Only password authentication is currently supported for Redshift."
+                )
             conn_info = {
                 "driver": conn_type,
                 "host": credentials.get("host"),
@@ -386,7 +412,7 @@ def get_pk_from_model(self, node, unique_columns: dict, pk_tag: str) -> List[str
         return []
 
     def get_unique_columns(self) -> Dict[str, Set[str]]:
-        manifest = self.manifest_obj
+        manifest = self.dev_manifest_obj
         cols_by_uid = defaultdict(set)
         for node in manifest.nodes.values():
             try:

data_diff/errors.py

@@ -44,3 +44,7 @@ class DataDiffDbtCoreNoRunnerError(Exception):
 
 class DataDiffDbtSelectVersionTooLowError(Exception):
     "Raised when attempting to use `--select` with a dbt-core version < 1.5."
+
+
+class DataDiffCustomSchemaNoConfigError(Exception):
+    "Raised when a model has a custom schema, but there is no prod_custom_schema config. (And not using --state)."