Improve context storage to share data through whole run

CHANGELOG.rst

@@ -6,6 +6,10 @@ v3.1.6
 
 *Release date: In development*
 
+- Added `run_storage` to store information during the whole test execution
+- Merge storages (context.storage, context.feature_storage and context.run_storage)
+- In steps, be able to store values into desire storage by using [key], [FEATURE:key] and [RUN:key]
+
 v3.1.5
 ------
 

VERSION

@@ -1 +1,2 @@
-3.1.6.dev0
+3.1.6.dev1
+

toolium/behave/environment.py

@@ -19,6 +19,7 @@
 import logging
 import os
 import re
+import collections
 
 from toolium.utils import dataset
 from toolium.config_files import ConfigFiles
@@ -50,6 +51,13 @@ def before_all(context):
     context.global_status = {'test_passed': True}
     create_and_configure_wrapper(context)
 
+    # Dictionary to store information during the whole test execution
+    context.run_storage = dict()
+    context.storage = context.run_storage
+
+    # Method in context to store values in context.storage, context.feature_storage or context.run_storage from steps
+    context.store_key_in_storage = dataset.store_key_in_storage
+
     # Behave dynamic environment
     context.dyn_env = DynamicEnvironment(logger=context.logger)
 
@@ -72,10 +80,9 @@ def before_feature(context, feature):
         no_driver = 'no_driver' in feature.tags
         start_driver(context, no_driver)
 
-    # Dictionary to store information between steps
-    context.storage = dict()
     # Dictionary to store information between features
     context.feature_storage = dict()
+    context.storage = collections.ChainMap(dict(), context.feature_storage, context.run_storage)
 
     # Behave dynamic environment
     context.dyn_env.get_steps_from_feature_description(feature.description)
@@ -129,8 +136,8 @@ def before_scenario(context, scenario):
 
     context.logger.info("Running new scenario: %s", scenario.name)
 
-    # Make sure storage dict are empty in each scenario
-    context.storage = dict()
+    # Make sure context storage dict is empty in each scenario and merge with the rest of storages
+    context.storage = collections.ChainMap(dict(), context.feature_storage, context.run_storage)
 
     # Behave dynamic environment
     context.dyn_env.execute_before_scenario_steps(context)

toolium/test/utils/test_dataset_map_param_context.py

@@ -90,6 +90,79 @@ class Context(object):
     assert expected_st == result_st
 
 
+def test_a_context_param_storage_and_run_storage():
+    """
+    Verification of a mapped parameter as CONTEXT saved in storage and run storage
+    """
+    class Context(object):
+        pass
+    context = Context()
+    context.attribute = "attribute value"
+    context.storage = {"storage_key": "storage entry value"}
+    context.run_storage = {"storage_key": "run storage entry value"}
+    dataset.behave_context = context
+
+    result_st = map_param("[CONTEXT:storage_key]")
+    expected_st = "storage entry value"
+    assert expected_st == result_st
+
+
+def test_store_key_in_feature_storage():
+    """
+    Verification of method store_key_in_storage with a mapped parameter as FEATURE saved in feature storage
+    """
+    class Context(object):
+        pass
+    context = Context()
+    context.attribute = "attribute value"
+    context.storage = {"storage_key": "storage entry value"}
+    context.feature_storage = {}
+    dataset.store_key_in_storage(context, "[FEATURE:storage_key]", "feature storage entry value")
+    dataset.behave_context = context
+
+    result_st = map_param("[CONTEXT:storage_key]")
+    expected_st = "feature storage entry value"
+    assert expected_st == result_st
+
+
+def test_store_key_in_run_storage():
+    """
+    Verification of method store_key_in_storage with a mapped parameter as RUN saved in run storage
+    """
+    class Context(object):
+        pass
+    context = Context()
+    context.attribute = "attribute value"
+    context.storage = {"storage_key": "storage entry value"}
+    context.run_storage = {}
+    context.feature_storage = {}
+    dataset.store_key_in_storage(context, "[RUN:storage_key]", "run storage entry value")
+    dataset.behave_context = context
+
+    result_st = map_param("[CONTEXT:storage_key]")
+    expected_st = "run storage entry value"
+    assert expected_st == result_st
+
+
+def test_a_context_param_using_store_key_in_storage():
+    """
+    Verification of a mapped parameter as CONTEXT saved in storage and run storage
+    """
+    class Context(object):
+        pass
+    context = Context()
+    context.attribute = "attribute value"
+    context.feature_storage = {}
+    context.storage = {"storage_key": "previous storage entry value"}
+    dataset.store_key_in_storage(context, "[FEATURE:storage_key]", "feature storage entry value")
+    dataset.store_key_in_storage(context, "[storage_key]", "storage entry value")
+    dataset.behave_context = context
+
+    result_st = map_param("[CONTEXT:storage_key]")
+    expected_st = "storage entry value"
+    assert expected_st == result_st
+
+
 def test_a_context_param_without_storage_and_feature_storage():
     """
     Verification of a mapped parameter as CONTEXT when before_feature and before_scenario have not been executed, so

toolium/utils/dataset.py

@@ -682,19 +682,24 @@ def _get_initial_value_from_context(initial_key, context):
     :param context: behave context
     :return: mapped value
     """
-    context_storage = context.storage if hasattr(context, 'storage') else {}
-    if hasattr(context, 'feature_storage'):
-        # context.feature_storage is initialized only when before_feature method is called
-        context_storage = collections.ChainMap(context.storage, context.feature_storage)
+    # If dynamic env is not initialized, the storages are initialized if needed
+
+    context_storage = getattr(context, 'storage', {})
+    run_storage = getattr(context, 'run_storage', {})
+    feature_storage = getattr(context, 'feature_storage', {})
+
+    if not isinstance(context_storage, collections.ChainMap):
+        context_storage = collections.ChainMap(context_storage, run_storage, feature_storage)
+
     if initial_key in context_storage:
-        value = context_storage[initial_key]
-    elif hasattr(context, initial_key):
-        value = getattr(context, initial_key)
-    else:
-        msg = f"'{initial_key}' key not found in context"
-        logger.error(msg)
-        raise Exception(msg)
-    return value
+        return context_storage[initial_key]
+
+    if hasattr(context, initial_key):
+        return getattr(context, initial_key)
+
+    msg = f"'{initial_key}' key not found in context"
+    logger.error(msg)
+    raise Exception(msg)
 
 
 def get_message_property(param, language_terms, language_key):
@@ -813,3 +818,33 @@ def convert_file_to_base64(file_path):
     except Exception as e:
         raise Exception(f' ERROR - converting the "{file_path}" file to Base64...: {e}')
     return file_content
+
+
+def store_key_in_storage(context, key, value):
+    """
+    Store values in context.storage, context.feature_storage or context.run_storage,
+    using [key], [FEATURE:key] OR [RUN:key] from steps.
+    context.storage is also updated with given key,value
+    By default, values are stored in context.storage.
+
+    :param key: key to store the value in proper storage
+    :param value: value to store in key
+    :param context: behave context
+    :return:
+    """
+    clean_key = re.sub(r'[\[\]]', '', key)
+    if ":" in clean_key:
+        context_type = clean_key.split(":")[0]
+        context_key = clean_key.split(":")[1]
+        acccepted_context_types = ["FEATURE", "RUN"]
+        assert context_type in acccepted_context_types, (f"Invalid key: {context_key}. "
+                                                         f"Accepted keys: {acccepted_context_types}")
+        if context_type == "RUN":
+            context.run_storage[context_key] = value
+        elif context_type == "FEATURE":
+            context.feature_storage[context_key] = value
+        # If dynamic env is not initialized linked or key exists in context.storage, the value is updated in it
+        if hasattr(context.storage, context_key) or not isinstance(context.storage, collections.ChainMap):
+            context.storage[context_key] = value
+    else:
+        context.storage[clean_key] = value