FieldsTests

Test generation mechanism to verify the field extractions of an Add-on

TestTemplates

Includes the test scenarios to check the field extractions of an Add-on.

FieldTestTemplates

Bases: object

Test templates to test the knowledge objects of an App

Source code in pytest_splunk_addon/fields_tests/test_templates.py

class FieldTestTemplates(object):
    """
    Test templates to test the knowledge objects of an App
    """

    logger = logging.getLogger("pytest-splunk-addon")

    @pytest.mark.splunk_searchtime_fields
    @pytest.mark.splunk_searchtime_internal_errors
    def test_splunk_internal_errors(
        self, splunk_search_util, ignore_internal_errors, record_property, caplog
    ):
        """
        This test case checks that there are not any unexpected internal errors

        Args:
            splunk_search_util (SearchUtil): Object that helps to search on Splunk.
            ignore_internal_errors (fixture): common list of errors to be ignored
            record_property (fixture): Document facts of test cases to provide more info in the test failure reports.
            caplog (fixture): fixture to capture logs.
        """
        search = """
            search index=_internal log_level=ERROR
            sourcetype!=splunkd_ui_access
            AND sourcetype!=splunk_web_access
            AND sourcetype!=splunk_web_service
            AND sourcetype!=splunkd_access
            AND sourcetype!=splunkd
        """
        for each in ignore_internal_errors:
            search += " NOT " + json.dumps(each)
        search += " | table _raw"
        record_property("search", search)
        result, results = splunk_search_util.checkQueryCountIsZero(search)
        if not result:
            record_property("results", results.as_list)
            pp = pprint.PrettyPrinter(indent=4)
            result_str = pp.pformat(results.as_list[:10])
        assert result, (
            f"\nQuery result greater than 0."
            f"{format_search_query_log(search)}"
            f"\nfound result={result_str}"
        )

    @pytest.mark.splunk_searchtime_fields
    @pytest.mark.splunk_searchtime_fields_positive
    def test_props_fields(
        self,
        splunk_search_util,
        splunk_ingest_data,
        splunk_setup,
        splunk_searchtime_fields_positive,
        record_property,
    ):
        """
        This test case checks that a field value has the expected values.

        Args:
            splunk_search_util (SearchUtil): Object that helps to search on Splunk.
            splunk_ingest_data (fixture): Ensure data was ingested before running test
            splunk_setup (fixture): Ensure that test environment was set up before running test
            splunk_searchtime_fields_positive (fixture): fields data of the event to be tested
            record_property (fixture): Document facts of test cases to provide more info in the test failure reports.
        """

        # Search Query
        record_property("stanza_name", splunk_searchtime_fields_positive["stanza"])
        record_property("stanza_type", splunk_searchtime_fields_positive["stanza_type"])
        record_property("fields", splunk_searchtime_fields_positive["fields"])

        index_list = (
            "(index="
            + " OR index=".join(splunk_search_util.search_index.split(","))
            + ")"
        )
        search = (
            f"search {index_list}"
            f" {splunk_searchtime_fields_positive['stanza_type']}=\""
            f"{splunk_searchtime_fields_positive['stanza']}\""
        )
        for field_dict in splunk_searchtime_fields_positive["fields"]:
            field = Field(field_dict)
            expected_values = ", ".join([f'"{each}"' for each in field.expected_values])
            negative_values = ", ".join([f'"{each}"' for each in field.negative_values])

            search = (
                search + f" AND ({field} IN ({expected_values})"
                f" AND NOT {field} IN ({negative_values}))"
            )
        search += COUNT_BY_SOURCE_TYPE_SEARCH_QUERY_PART

        self.logger.info(f"Executing the search query: {search}")

        # run search
        result = splunk_search_util.checkQueryCountIsGreaterThanZero(
            search,
            interval=splunk_search_util.search_interval,
            retries=splunk_search_util.search_retry,
        )
        record_property("search", search)

        assert result, (
            f"\nNo result found for the search."
            f"{format_search_query_log(search)}"
            f"\ninterval={splunk_search_util.search_interval}, retries={splunk_search_util.search_retry}"
        )

    @pytest.mark.splunk_searchtime_fields
    @pytest.mark.splunk_requirements
    @pytest.mark.splunk_searchtime_fields_requirements
    def test_requirements_fields(
        self,
        splunk_search_util,
        splunk_ingest_data,
        splunk_setup,
        splunk_searchtime_fields_requirements,
        record_property,
    ):
        """
        This test case checks that a field value has the expected values.

        Args:
            splunk_search_util (SearchUtil): Object that helps to search on Splunk.
            splunk_ingest_data (fixture): Ensure data was ingested before running test
            splunk_setup (fixture): Ensure that test environment was set up before running test
            splunk_searchtime_fields_requirements (fixture): fields data of the event to be tested
            record_property (fixture): Document facts of test cases to provide more info in the test failure reports.
        """

        # Search Query
        record_property(
            "stanza_name", splunk_searchtime_fields_requirements["escaped_event"]
        )
        record_property("fields", splunk_searchtime_fields_requirements["fields"])
        record_property(
            "modinput_params", splunk_searchtime_fields_requirements["modinput_params"]
        )

        escaped_event = splunk_searchtime_fields_requirements["escaped_event"]
        fields = splunk_searchtime_fields_requirements["fields"]
        modinput_params = splunk_searchtime_fields_requirements["modinput_params"]

        index_list = (
            "(index="
            + " OR index=".join(splunk_search_util.search_index.split(","))
            + ")"
        )

        basic_search = ""
        for param, param_value in modinput_params.items():
            if param_value is not None:
                basic_search += f" {param}={param_value}"

        search = f"search {index_list} {basic_search} {escaped_event} | fields *"

        self.logger.info(f"Executing the search query: {search}")

        fields_from_splunk = splunk_search_util.getFieldValuesDict(
            search,
            interval=splunk_search_util.search_interval,
            retries=splunk_search_util.search_retry,
        )

        assert fields_from_splunk, f"Event was not returned with search: {search}"

        missing_fields = []
        wrong_value_fields = {}

        for field, value in fields.items():
            if field not in fields_from_splunk:
                missing_fields.append(field)

            if value != fields_from_splunk.get(field):
                wrong_value_fields[field] = fields_from_splunk.get(field)

        wrong_values_table = get_table_output(
            headers=["Field", "Splunk value", "Expected value"],
            value_list=[
                [
                    str(field),
                    str(value),
                    str(fields[field]),
                ]
                for field, value in wrong_value_fields.items()
            ],
        )

        if not wrong_value_fields == {}:
            self.logger.error("Wrong field values:\n" + wrong_values_table)

        assert wrong_value_fields == {}, (
            f"\nNot all required fields have correct values or some fields are missing in Splunk. Wrong field values:\n{wrong_values_table}"
            f"{format_search_query_log(search)}"
        )

    @pytest.mark.splunk_searchtime_fields
    @pytest.mark.splunk_searchtime_fields_negative
    def test_props_fields_no_dash_not_empty(
        self,
        splunk_search_util,
        splunk_ingest_data,
        splunk_setup,
        splunk_searchtime_fields_negative,
        record_property,
    ):
        """
        This test case checks negative scenario for the field value.

        Args:
            splunk_search_util (SearchUtil): Object that helps to search on Splunk.
            splunk_ingest_data (fixture): Ensure data was ingested before running test
            splunk_setup (fixture): Ensure that test environment was set up before running test
            splunk_searchtime_fields_negative (fixture): fields data of the event to be tested
            record_property (fixture): Document facts of test cases to provide more info in the test failure reports.
        """

        # Search Query
        record_property("stanza_name", splunk_searchtime_fields_negative["stanza"])
        record_property("stanza_type", splunk_searchtime_fields_negative["stanza_type"])
        record_property("fields", splunk_searchtime_fields_negative["fields"])

        index_list = (
            "(index="
            + " OR index=".join(splunk_search_util.search_index.split(","))
            + ")"
        )
        base_search = (
            f"search {index_list}"
            f" {splunk_searchtime_fields_negative['stanza_type']}=\""
            f"{splunk_searchtime_fields_negative['stanza']}\""
        )

        fields_search = []
        for field_dict in splunk_searchtime_fields_negative["fields"]:
            field = Field(field_dict)
            negative_values = ", ".join([f'"{each}"' for each in field.negative_values])

            fields_search.append(f"({field} IN ({negative_values}))")
        base_search += " AND ({})".format(" OR ".join(fields_search))
        search = base_search + COUNT_BY_SOURCE_TYPE_SEARCH_QUERY_PART

        self.logger.info(f"Executing the search query: {search}")

        # run search
        result, results = splunk_search_util.checkQueryCountIsZero(search)
        record_property("search", search)
        if not result:
            record_property("results", results.as_list)
            pp = pprint.PrettyPrinter(indent=4)
            result_str = pp.pformat(results.as_list[:10])

            query_for_unique_events = (
                base_search + TOP_FIVE_STRUCTURALLY_UNIQUE_EVENTS_QUERY_PART
            )
            query_results = splunk_search_util.get_search_results(
                query_for_unique_events
            )
            results_formatted_str = pp.pformat(query_results.as_list)
        assert result, (
            f"\nQuery result greater than 0."
            f"{format_search_query_log(search)}"
            f"\nfound result={result_str}\n"
            " === STRUCTURALLY UNIQUE EVENTS:\n"
            f"query={query_for_unique_events}\n"
            f"events= {results_formatted_str}"
        )

    @pytest.mark.splunk_searchtime_fields
    @pytest.mark.splunk_searchtime_fields_tags
    def test_tags(
        self,
        splunk_search_util,
        splunk_ingest_data,
        splunk_setup,
        splunk_searchtime_fields_tags,
        record_property,
        caplog,
    ):
        """
        Test case to check tags mentioned in tags.conf

        This test case checks if a tag is assigned to the event if enabled,
        and also checks that a tag is not assigned to the event if disabled.

        Args:
            splunk_search_util (splunksplwrapper.SearchUtil.SearchUtil): object that helps to search on Splunk.
            splunk_ingest_data (fixture): Ensure data was ingested before running test
            splunk_setup (fixture): Ensure that test environment was set up before running test
            splunk_searchtime_fields_tags (fixture): pytest parameters to test.
            record_property (fixture): Document facts of test cases to provide more info in the test failure reports.
            caplog (fixture): fixture to capture logs.
        """

        is_tag_enabled = splunk_searchtime_fields_tags.get("enabled", True)
        tag_query = splunk_searchtime_fields_tags["stanza"]
        tag = splunk_searchtime_fields_tags["tag"]
        self.logger.info(f"Testing for tag {tag} with tag_query {tag_query}")

        record_property("Event_with", tag_query)
        record_property("tag", tag)
        record_property("is_tag_enabled", is_tag_enabled)

        index_list = (
            "(index="
            + " OR index=".join(splunk_search_util.search_index.split(","))
            + ")"
        )
        search = f"search {index_list} {tag_query} AND tag={tag}"
        search += COUNT_BY_SOURCE_TYPE_SEARCH_QUERY_PART

        self.logger.info(f"Search: {search}")

        result = splunk_search_util.checkQueryCountIsGreaterThanZero(
            search,
            interval=splunk_search_util.search_interval,
            retries=splunk_search_util.search_retry,
        )

        record_property("search", search)

        if is_tag_enabled:
            assert result, (
                f"\nNo events found for the enabled Tag={tag}."
                f"{format_search_query_log(search)}"
                f"\ninterval={splunk_search_util.search_interval}, retries={splunk_search_util.search_retry}"
            )
        else:
            assert not result, (
                f"\nEvents found for the disabled Tag={tag}."
                f"{format_search_query_log(search)}"
                f"\ninterval={splunk_search_util.search_interval}, retries={splunk_search_util.search_retry}"
            )

    @pytest.mark.splunk_searchtime_fields
    @pytest.mark.splunk_requirements
    @pytest.mark.splunk_searchtime_fields_datamodels
    def test_datamodels(
        self,
        splunk_search_util,
        splunk_ingest_data,
        splunk_setup,
        splunk_searchtime_fields_datamodels,
        record_property,
        caplog,
    ):
        """
        Test case to check if correct datamodels are assigned to the event.

        This test case checks if tags assigned to the event match assigned datamodel
        and also checks if there is no additional wrongly assigned datamodel.

        Args:
            splunk_search_util (splunksplwrapper.SearchUtil.SearchUtil):
                object that helps to search on Splunk.
            splunk_ingest_data (fixture): Ensure data was ingested before running test
            splunk_setup (fixture): Ensure that test environment was set up before running test
            splunk_searchtime_fields_datamodels (fixture): pytest parameters to test.
            record_property (fixture): Document facts of test cases to provide more info in the test failure reports.
            caplog (fixture): fixture to capture logs.
        """
        esacaped_event = splunk_searchtime_fields_datamodels["stanza"]
        datamodels = splunk_searchtime_fields_datamodels["datamodels"]
        self.logger.info(
            f"Testing for tag {datamodels} with tag_query {esacaped_event}"
        )

        record_property("Event_with", esacaped_event)
        record_property("datamodels", datamodels)

        index_list = (
            "(index="
            + " OR index=".join(splunk_search_util.search_index.split(","))
            + ")"
        )
        search = f"search {index_list} {esacaped_event} | fields *"

        self.logger.info(f"Search: {search}")

        fields_from_splunk = splunk_search_util.getFieldValuesDict(
            search,
            interval=splunk_search_util.search_interval,
            retries=splunk_search_util.search_retry,
        )

        assert fields_from_splunk, f"Event was not returned with search: {search}"

        extracted_tags = fields_from_splunk.get("tag", "")
        extracted_tags = extracted_tags.strip("][").split(", ")
        extracted_tags = [tag.replace("'", "") for tag in extracted_tags]
        dm_tags = list(
            chain.from_iterable(
                [tags for dm, tags in dict_datamodel_tag.items() if dm in datamodels]
            )
        )
        self.logger.info(f"Tags extracted from Splunk {extracted_tags}")
        self.logger.info(f"Tags assigned to datamodels {dm_tags}")

        matched_datamodels = {
            dm: tags
            for dm, tags in dict_datamodel_tag.items()
            if all(tag in extracted_tags for tag in tags)
        }
        assigned_datamodels = {
            dm: tags
            for dm, tags in matched_datamodels.items()
            if not any(
                set(tags).issubset(set(matched_tags)) and dm != matched_datamodel
                for matched_datamodel, matched_tags in matched_datamodels.items()
            )
        }

        record_property("search", search)

        missing_datamodels = [dm for dm in datamodels if dm not in assigned_datamodels]
        wrong_datamodels = [dm for dm in assigned_datamodels if dm not in datamodels]

        exc_message = get_table_output(
            headers=[
                "Expected datamodel",
                "Expected tags",
                "Found datamodel",
                "Found tags",
            ],
            value_list=[
                [
                    ",".join(datamodels),
                    ",".join(dm_tags),
                    ",".join(assigned_datamodels.keys()),
                    ",".join(extracted_tags),
                ]
            ],
        )

        assert (
            missing_datamodels == [] and wrong_datamodels == []
        ), f"Incorrect datamodels found:\n{exc_message}"

    @pytest.mark.splunk_searchtime_fields
    @pytest.mark.splunk_searchtime_fields_eventtypes
    def test_eventtype(
        self,
        splunk_search_util,
        splunk_ingest_data,
        splunk_setup,
        splunk_searchtime_fields_eventtypes,
        record_property,
        caplog,
    ):
        """
        Tests if all eventtypes in eventtypes.conf are generated in Splunk.

        Args:
            splunk_search_util (splunksplwrapper.SearchUtil.SearchUtil):
                object that helps to search on Splunk.
            splunk_ingest_data (fixture): Ensure data was ingested before running test
            splunk_setup (fixture): Ensure that test environment was set up before running test
            splunk_searchtime_fields_eventtypes (fixture): Fixture containing list of eventtypes
            record_property (fixture): Document facts of test cases to provide more info in the test failure reports.
            caplog (fixture): Access and control log capturing

        Returns:
            Asserts whether test case passes or fails.
        """
        record_property("eventtype", splunk_searchtime_fields_eventtypes["stanza"])
        index_list = (
            "(index="
            + " OR index=".join(splunk_search_util.search_index.split(","))
            + ")"
        )
        search = (
            f"search {index_list} AND "
            f"eventtype="
            f"\"{splunk_searchtime_fields_eventtypes['stanza']}\""
        )
        search += COUNT_BY_SOURCE_TYPE_SEARCH_QUERY_PART

        self.logger.info(
            "Testing eventtype =%s", splunk_searchtime_fields_eventtypes["stanza"]
        )

        self.logger.info("Search query for testing =%s", search)

        # run search
        result = splunk_search_util.checkQueryCountIsGreaterThanZero(
            search,
            interval=splunk_search_util.search_interval,
            retries=splunk_search_util.search_retry,
        )
        record_property("search", search)
        assert result, (
            f"\nNo result found for the search."
            f"{format_search_query_log(search)}"
            f"\ninterval={splunk_search_util.search_interval}, retries={splunk_search_util.search_retry}"
        )

    @pytest.mark.splunk_searchtime_fields
    @pytest.mark.splunk_searchtime_fields_savedsearches
    def test_savedsearches(
        self,
        splunk_search_util,
        splunk_ingest_data,
        splunk_setup,
        splunk_searchtime_fields_savedsearches,
        record_property,
        caplog,
    ):
        """
        Tests if all savedsearches in savedsearches.conf are being executed properly to generate proper results.

        Args:
            splunk_search_util (splunksplwrapper.SearchUtil.SearchUtil):
                object that helps to search on Splunk.
            splunk_ingest_data (fixture): Ensure data was ingested before running test
            splunk_setup (fixture): Ensure that test environment was set up before running test
            splunk_searchtime_fields_savedsearches (fixture): Fixture containing list of savedsearches
            record_property (fixture): Document facts of test cases to provide more info in the test failure reports.
            caplog (fixture): Access and control log capturing

        Returns:
            Asserts whether test case passes or fails.
        """
        search_query = splunk_searchtime_fields_savedsearches["search"]
        earliest_time = splunk_searchtime_fields_savedsearches["dispatch.earliest_time"]
        latest_time = splunk_searchtime_fields_savedsearches["dispatch.latest_time"]

        temp_search_query = search_query.split("|")
        if temp_search_query[0].find("savedsearch") == -1 and (
            len(temp_search_query) < 2 or temp_search_query[1].find("savedsearch") == -1
        ):
            temp_search_query[0] += " earliest_time = {0} latest_time = {1} ".format(
                earliest_time, latest_time
            )
            search_query = "|".join(temp_search_query)
            search = f"search {search_query}"
        else:
            search = "|".join(temp_search_query)

        self.logger.info(f"Search: {search}")

        result = splunk_search_util.checkQueryCountIsGreaterThanZero(
            search,
            interval=splunk_search_util.search_interval,
            retries=splunk_search_util.search_retry,
        )

        record_property("search", search)
        assert result, (
            f"\nNo result found for the search."
            f"{format_search_query_log(search)}"
            f"\ninterval={splunk_search_util.search_interval}, retries={splunk_search_util.search_retry}"
        )

test_datamodels(splunk_search_util, splunk_ingest_data, splunk_setup, splunk_searchtime_fields_datamodels, record_property, caplog)

Test case to check if correct datamodels are assigned to the event.

This test case checks if tags assigned to the event match assigned datamodel and also checks if there is no additional wrongly assigned datamodel.

Parameters:

Name	Type	Description	Default
splunk_search_util	SearchUtil	object that helps to search on Splunk.	required
splunk_ingest_data	fixture	Ensure data was ingested before running test	required
splunk_setup	fixture	Ensure that test environment was set up before running test	required
splunk_searchtime_fields_datamodels	fixture	pytest parameters to test.	required
record_property	fixture	Document facts of test cases to provide more info in the test failure reports.	required
caplog	fixture	fixture to capture logs.	required

Source code in pytest_splunk_addon/fields_tests/test_templates.py

@pytest.mark.splunk_searchtime_fields
@pytest.mark.splunk_requirements
@pytest.mark.splunk_searchtime_fields_datamodels
def test_datamodels(
    self,
    splunk_search_util,
    splunk_ingest_data,
    splunk_setup,
    splunk_searchtime_fields_datamodels,
    record_property,
    caplog,
):
    """
    Test case to check if correct datamodels are assigned to the event.

    This test case checks if tags assigned to the event match assigned datamodel
    and also checks if there is no additional wrongly assigned datamodel.

    Args:
        splunk_search_util (splunksplwrapper.SearchUtil.SearchUtil):
            object that helps to search on Splunk.
        splunk_ingest_data (fixture): Ensure data was ingested before running test
        splunk_setup (fixture): Ensure that test environment was set up before running test
        splunk_searchtime_fields_datamodels (fixture): pytest parameters to test.
        record_property (fixture): Document facts of test cases to provide more info in the test failure reports.
        caplog (fixture): fixture to capture logs.
    """
    esacaped_event = splunk_searchtime_fields_datamodels["stanza"]
    datamodels = splunk_searchtime_fields_datamodels["datamodels"]
    self.logger.info(
        f"Testing for tag {datamodels} with tag_query {esacaped_event}"
    )

    record_property("Event_with", esacaped_event)
    record_property("datamodels", datamodels)

    index_list = (
        "(index="
        + " OR index=".join(splunk_search_util.search_index.split(","))
        + ")"
    )
    search = f"search {index_list} {esacaped_event} | fields *"

    self.logger.info(f"Search: {search}")

    fields_from_splunk = splunk_search_util.getFieldValuesDict(
        search,
        interval=splunk_search_util.search_interval,
        retries=splunk_search_util.search_retry,
    )

    assert fields_from_splunk, f"Event was not returned with search: {search}"

    extracted_tags = fields_from_splunk.get("tag", "")
    extracted_tags = extracted_tags.strip("][").split(", ")
    extracted_tags = [tag.replace("'", "") for tag in extracted_tags]
    dm_tags = list(
        chain.from_iterable(
            [tags for dm, tags in dict_datamodel_tag.items() if dm in datamodels]
        )
    )
    self.logger.info(f"Tags extracted from Splunk {extracted_tags}")
    self.logger.info(f"Tags assigned to datamodels {dm_tags}")

    matched_datamodels = {
        dm: tags
        for dm, tags in dict_datamodel_tag.items()
        if all(tag in extracted_tags for tag in tags)
    }
    assigned_datamodels = {
        dm: tags
        for dm, tags in matched_datamodels.items()
        if not any(
            set(tags).issubset(set(matched_tags)) and dm != matched_datamodel
            for matched_datamodel, matched_tags in matched_datamodels.items()
        )
    }

    record_property("search", search)

    missing_datamodels = [dm for dm in datamodels if dm not in assigned_datamodels]
    wrong_datamodels = [dm for dm in assigned_datamodels if dm not in datamodels]

    exc_message = get_table_output(
        headers=[
            "Expected datamodel",
            "Expected tags",
            "Found datamodel",
            "Found tags",
        ],
        value_list=[
            [
                ",".join(datamodels),
                ",".join(dm_tags),
                ",".join(assigned_datamodels.keys()),
                ",".join(extracted_tags),
            ]
        ],
    )

    assert (
        missing_datamodels == [] and wrong_datamodels == []
    ), f"Incorrect datamodels found:\n{exc_message}"

test_eventtype(splunk_search_util, splunk_ingest_data, splunk_setup, splunk_searchtime_fields_eventtypes, record_property, caplog)

Tests if all eventtypes in eventtypes.conf are generated in Splunk.

Parameters:

Name	Type	Description	Default
splunk_search_util	SearchUtil	object that helps to search on Splunk.	required
splunk_ingest_data	fixture	Ensure data was ingested before running test	required
splunk_setup	fixture	Ensure that test environment was set up before running test	required
splunk_searchtime_fields_eventtypes	fixture	Fixture containing list of eventtypes	required
record_property	fixture	Document facts of test cases to provide more info in the test failure reports.	required
caplog	fixture	Access and control log capturing	required

Returns:

Type	Description
	Asserts whether test case passes or fails.

Source code in pytest_splunk_addon/fields_tests/test_templates.py

@pytest.mark.splunk_searchtime_fields
@pytest.mark.splunk_searchtime_fields_eventtypes
def test_eventtype(
    self,
    splunk_search_util,
    splunk_ingest_data,
    splunk_setup,
    splunk_searchtime_fields_eventtypes,
    record_property,
    caplog,
):
    """
    Tests if all eventtypes in eventtypes.conf are generated in Splunk.

    Args:
        splunk_search_util (splunksplwrapper.SearchUtil.SearchUtil):
            object that helps to search on Splunk.
        splunk_ingest_data (fixture): Ensure data was ingested before running test
        splunk_setup (fixture): Ensure that test environment was set up before running test
        splunk_searchtime_fields_eventtypes (fixture): Fixture containing list of eventtypes
        record_property (fixture): Document facts of test cases to provide more info in the test failure reports.
        caplog (fixture): Access and control log capturing

    Returns:
        Asserts whether test case passes or fails.
    """
    record_property("eventtype", splunk_searchtime_fields_eventtypes["stanza"])
    index_list = (
        "(index="
        + " OR index=".join(splunk_search_util.search_index.split(","))
        + ")"
    )
    search = (
        f"search {index_list} AND "
        f"eventtype="
        f"\"{splunk_searchtime_fields_eventtypes['stanza']}\""
    )
    search += COUNT_BY_SOURCE_TYPE_SEARCH_QUERY_PART

    self.logger.info(
        "Testing eventtype =%s", splunk_searchtime_fields_eventtypes["stanza"]
    )

    self.logger.info("Search query for testing =%s", search)

    # run search
    result = splunk_search_util.checkQueryCountIsGreaterThanZero(
        search,
        interval=splunk_search_util.search_interval,
        retries=splunk_search_util.search_retry,
    )
    record_property("search", search)
    assert result, (
        f"\nNo result found for the search."
        f"{format_search_query_log(search)}"
        f"\ninterval={splunk_search_util.search_interval}, retries={splunk_search_util.search_retry}"
    )

test_props_fields(splunk_search_util, splunk_ingest_data, splunk_setup, splunk_searchtime_fields_positive, record_property)

This test case checks that a field value has the expected values.

Parameters:

Name	Type	Description	Default
splunk_search_util	SearchUtil	Object that helps to search on Splunk.	required
splunk_ingest_data	fixture	Ensure data was ingested before running test	required
splunk_setup	fixture	Ensure that test environment was set up before running test	required
splunk_searchtime_fields_positive	fixture	fields data of the event to be tested	required
record_property	fixture	Document facts of test cases to provide more info in the test failure reports.	required

Source code in pytest_splunk_addon/fields_tests/test_templates.py

@pytest.mark.splunk_searchtime_fields
@pytest.mark.splunk_searchtime_fields_positive
def test_props_fields(
    self,
    splunk_search_util,
    splunk_ingest_data,
    splunk_setup,
    splunk_searchtime_fields_positive,
    record_property,
):
    """
    This test case checks that a field value has the expected values.

    Args:
        splunk_search_util (SearchUtil): Object that helps to search on Splunk.
        splunk_ingest_data (fixture): Ensure data was ingested before running test
        splunk_setup (fixture): Ensure that test environment was set up before running test
        splunk_searchtime_fields_positive (fixture): fields data of the event to be tested
        record_property (fixture): Document facts of test cases to provide more info in the test failure reports.
    """

    # Search Query
    record_property("stanza_name", splunk_searchtime_fields_positive["stanza"])
    record_property("stanza_type", splunk_searchtime_fields_positive["stanza_type"])
    record_property("fields", splunk_searchtime_fields_positive["fields"])

    index_list = (
        "(index="
        + " OR index=".join(splunk_search_util.search_index.split(","))
        + ")"
    )
    search = (
        f"search {index_list}"
        f" {splunk_searchtime_fields_positive['stanza_type']}=\""
        f"{splunk_searchtime_fields_positive['stanza']}\""
    )
    for field_dict in splunk_searchtime_fields_positive["fields"]:
        field = Field(field_dict)
        expected_values = ", ".join([f'"{each}"' for each in field.expected_values])
        negative_values = ", ".join([f'"{each}"' for each in field.negative_values])

        search = (
            search + f" AND ({field} IN ({expected_values})"
            f" AND NOT {field} IN ({negative_values}))"
        )
    search += COUNT_BY_SOURCE_TYPE_SEARCH_QUERY_PART

    self.logger.info(f"Executing the search query: {search}")

    # run search
    result = splunk_search_util.checkQueryCountIsGreaterThanZero(
        search,
        interval=splunk_search_util.search_interval,
        retries=splunk_search_util.search_retry,
    )
    record_property("search", search)

    assert result, (
        f"\nNo result found for the search."
        f"{format_search_query_log(search)}"
        f"\ninterval={splunk_search_util.search_interval}, retries={splunk_search_util.search_retry}"
    )

test_props_fields_no_dash_not_empty(splunk_search_util, splunk_ingest_data, splunk_setup, splunk_searchtime_fields_negative, record_property)

This test case checks negative scenario for the field value.

Parameters:

Name	Type	Description	Default
splunk_search_util	SearchUtil	Object that helps to search on Splunk.	required
splunk_ingest_data	fixture	Ensure data was ingested before running test	required
splunk_setup	fixture	Ensure that test environment was set up before running test	required
splunk_searchtime_fields_negative	fixture	fields data of the event to be tested	required
record_property	fixture	Document facts of test cases to provide more info in the test failure reports.	required

Source code in pytest_splunk_addon/fields_tests/test_templates.py

@pytest.mark.splunk_searchtime_fields
@pytest.mark.splunk_searchtime_fields_negative
def test_props_fields_no_dash_not_empty(
    self,
    splunk_search_util,
    splunk_ingest_data,
    splunk_setup,
    splunk_searchtime_fields_negative,
    record_property,
):
    """
    This test case checks negative scenario for the field value.

    Args:
        splunk_search_util (SearchUtil): Object that helps to search on Splunk.
        splunk_ingest_data (fixture): Ensure data was ingested before running test
        splunk_setup (fixture): Ensure that test environment was set up before running test
        splunk_searchtime_fields_negative (fixture): fields data of the event to be tested
        record_property (fixture): Document facts of test cases to provide more info in the test failure reports.
    """

    # Search Query
    record_property("stanza_name", splunk_searchtime_fields_negative["stanza"])
    record_property("stanza_type", splunk_searchtime_fields_negative["stanza_type"])
    record_property("fields", splunk_searchtime_fields_negative["fields"])

    index_list = (
        "(index="
        + " OR index=".join(splunk_search_util.search_index.split(","))
        + ")"
    )
    base_search = (
        f"search {index_list}"
        f" {splunk_searchtime_fields_negative['stanza_type']}=\""
        f"{splunk_searchtime_fields_negative['stanza']}\""
    )

    fields_search = []
    for field_dict in splunk_searchtime_fields_negative["fields"]:
        field = Field(field_dict)
        negative_values = ", ".join([f'"{each}"' for each in field.negative_values])

        fields_search.append(f"({field} IN ({negative_values}))")
    base_search += " AND ({})".format(" OR ".join(fields_search))
    search = base_search + COUNT_BY_SOURCE_TYPE_SEARCH_QUERY_PART

    self.logger.info(f"Executing the search query: {search}")

    # run search
    result, results = splunk_search_util.checkQueryCountIsZero(search)
    record_property("search", search)
    if not result:
        record_property("results", results.as_list)
        pp = pprint.PrettyPrinter(indent=4)
        result_str = pp.pformat(results.as_list[:10])

        query_for_unique_events = (
            base_search + TOP_FIVE_STRUCTURALLY_UNIQUE_EVENTS_QUERY_PART
        )
        query_results = splunk_search_util.get_search_results(
            query_for_unique_events
        )
        results_formatted_str = pp.pformat(query_results.as_list)
    assert result, (
        f"\nQuery result greater than 0."
        f"{format_search_query_log(search)}"
        f"\nfound result={result_str}\n"
        " === STRUCTURALLY UNIQUE EVENTS:\n"
        f"query={query_for_unique_events}\n"
        f"events= {results_formatted_str}"
    )

test_requirements_fields(splunk_search_util, splunk_ingest_data, splunk_setup, splunk_searchtime_fields_requirements, record_property)

This test case checks that a field value has the expected values.

Parameters:

Name	Type	Description	Default
splunk_search_util	SearchUtil	Object that helps to search on Splunk.	required
splunk_ingest_data	fixture	Ensure data was ingested before running test	required
splunk_setup	fixture	Ensure that test environment was set up before running test	required
splunk_searchtime_fields_requirements	fixture	fields data of the event to be tested	required
record_property	fixture	Document facts of test cases to provide more info in the test failure reports.	required

Source code in pytest_splunk_addon/fields_tests/test_templates.py

@pytest.mark.splunk_searchtime_fields
@pytest.mark.splunk_requirements
@pytest.mark.splunk_searchtime_fields_requirements
def test_requirements_fields(
    self,
    splunk_search_util,
    splunk_ingest_data,
    splunk_setup,
    splunk_searchtime_fields_requirements,
    record_property,
):
    """
    This test case checks that a field value has the expected values.

    Args:
        splunk_search_util (SearchUtil): Object that helps to search on Splunk.
        splunk_ingest_data (fixture): Ensure data was ingested before running test
        splunk_setup (fixture): Ensure that test environment was set up before running test
        splunk_searchtime_fields_requirements (fixture): fields data of the event to be tested
        record_property (fixture): Document facts of test cases to provide more info in the test failure reports.
    """

    # Search Query
    record_property(
        "stanza_name", splunk_searchtime_fields_requirements["escaped_event"]
    )
    record_property("fields", splunk_searchtime_fields_requirements["fields"])
    record_property(
        "modinput_params", splunk_searchtime_fields_requirements["modinput_params"]
    )

    escaped_event = splunk_searchtime_fields_requirements["escaped_event"]
    fields = splunk_searchtime_fields_requirements["fields"]
    modinput_params = splunk_searchtime_fields_requirements["modinput_params"]

    index_list = (
        "(index="
        + " OR index=".join(splunk_search_util.search_index.split(","))
        + ")"
    )

    basic_search = ""
    for param, param_value in modinput_params.items():
        if param_value is not None:
            basic_search += f" {param}={param_value}"

    search = f"search {index_list} {basic_search} {escaped_event} | fields *"

    self.logger.info(f"Executing the search query: {search}")

    fields_from_splunk = splunk_search_util.getFieldValuesDict(
        search,
        interval=splunk_search_util.search_interval,
        retries=splunk_search_util.search_retry,
    )

    assert fields_from_splunk, f"Event was not returned with search: {search}"

    missing_fields = []
    wrong_value_fields = {}

    for field, value in fields.items():
        if field not in fields_from_splunk:
            missing_fields.append(field)

        if value != fields_from_splunk.get(field):
            wrong_value_fields[field] = fields_from_splunk.get(field)

    wrong_values_table = get_table_output(
        headers=["Field", "Splunk value", "Expected value"],
        value_list=[
            [
                str(field),
                str(value),
                str(fields[field]),
            ]
            for field, value in wrong_value_fields.items()
        ],
    )

    if not wrong_value_fields == {}:
        self.logger.error("Wrong field values:\n" + wrong_values_table)

    assert wrong_value_fields == {}, (
        f"\nNot all required fields have correct values or some fields are missing in Splunk. Wrong field values:\n{wrong_values_table}"
        f"{format_search_query_log(search)}"
    )

test_savedsearches(splunk_search_util, splunk_ingest_data, splunk_setup, splunk_searchtime_fields_savedsearches, record_property, caplog)

Tests if all savedsearches in savedsearches.conf are being executed properly to generate proper results.

Parameters:

Name	Type	Description	Default
splunk_search_util	SearchUtil	object that helps to search on Splunk.	required
splunk_ingest_data	fixture	Ensure data was ingested before running test	required
splunk_setup	fixture	Ensure that test environment was set up before running test	required
splunk_searchtime_fields_savedsearches	fixture	Fixture containing list of savedsearches	required
record_property	fixture	Document facts of test cases to provide more info in the test failure reports.	required
caplog	fixture	Access and control log capturing	required

Returns:

Type	Description
	Asserts whether test case passes or fails.

Source code in pytest_splunk_addon/fields_tests/test_templates.py

@pytest.mark.splunk_searchtime_fields
@pytest.mark.splunk_searchtime_fields_savedsearches
def test_savedsearches(
    self,
    splunk_search_util,
    splunk_ingest_data,
    splunk_setup,
    splunk_searchtime_fields_savedsearches,
    record_property,
    caplog,
):
    """
    Tests if all savedsearches in savedsearches.conf are being executed properly to generate proper results.

    Args:
        splunk_search_util (splunksplwrapper.SearchUtil.SearchUtil):
            object that helps to search on Splunk.
        splunk_ingest_data (fixture): Ensure data was ingested before running test
        splunk_setup (fixture): Ensure that test environment was set up before running test
        splunk_searchtime_fields_savedsearches (fixture): Fixture containing list of savedsearches
        record_property (fixture): Document facts of test cases to provide more info in the test failure reports.
        caplog (fixture): Access and control log capturing

    Returns:
        Asserts whether test case passes or fails.
    """
    search_query = splunk_searchtime_fields_savedsearches["search"]
    earliest_time = splunk_searchtime_fields_savedsearches["dispatch.earliest_time"]
    latest_time = splunk_searchtime_fields_savedsearches["dispatch.latest_time"]

    temp_search_query = search_query.split("|")
    if temp_search_query[0].find("savedsearch") == -1 and (
        len(temp_search_query) < 2 or temp_search_query[1].find("savedsearch") == -1
    ):
        temp_search_query[0] += " earliest_time = {0} latest_time = {1} ".format(
            earliest_time, latest_time
        )
        search_query = "|".join(temp_search_query)
        search = f"search {search_query}"
    else:
        search = "|".join(temp_search_query)

    self.logger.info(f"Search: {search}")

    result = splunk_search_util.checkQueryCountIsGreaterThanZero(
        search,
        interval=splunk_search_util.search_interval,
        retries=splunk_search_util.search_retry,
    )

    record_property("search", search)
    assert result, (
        f"\nNo result found for the search."
        f"{format_search_query_log(search)}"
        f"\ninterval={splunk_search_util.search_interval}, retries={splunk_search_util.search_retry}"
    )

test_splunk_internal_errors(splunk_search_util, ignore_internal_errors, record_property, caplog)

This test case checks that there are not any unexpected internal errors

Parameters:

Name	Type	Description	Default
splunk_search_util	SearchUtil	Object that helps to search on Splunk.	required
ignore_internal_errors	fixture	common list of errors to be ignored	required
record_property	fixture	Document facts of test cases to provide more info in the test failure reports.	required
caplog	fixture	fixture to capture logs.	required

Source code in pytest_splunk_addon/fields_tests/test_templates.py

@pytest.mark.splunk_searchtime_fields
@pytest.mark.splunk_searchtime_internal_errors
def test_splunk_internal_errors(
    self, splunk_search_util, ignore_internal_errors, record_property, caplog
):
    """
    This test case checks that there are not any unexpected internal errors

    Args:
        splunk_search_util (SearchUtil): Object that helps to search on Splunk.
        ignore_internal_errors (fixture): common list of errors to be ignored
        record_property (fixture): Document facts of test cases to provide more info in the test failure reports.
        caplog (fixture): fixture to capture logs.
    """
    search = """
        search index=_internal log_level=ERROR
        sourcetype!=splunkd_ui_access
        AND sourcetype!=splunk_web_access
        AND sourcetype!=splunk_web_service
        AND sourcetype!=splunkd_access
        AND sourcetype!=splunkd
    """
    for each in ignore_internal_errors:
        search += " NOT " + json.dumps(each)
    search += " | table _raw"
    record_property("search", search)
    result, results = splunk_search_util.checkQueryCountIsZero(search)
    if not result:
        record_property("results", results.as_list)
        pp = pprint.PrettyPrinter(indent=4)
        result_str = pp.pformat(results.as_list[:10])
    assert result, (
        f"\nQuery result greater than 0."
        f"{format_search_query_log(search)}"
        f"\nfound result={result_str}"
    )

test_tags(splunk_search_util, splunk_ingest_data, splunk_setup, splunk_searchtime_fields_tags, record_property, caplog)

Test case to check tags mentioned in tags.conf

This test case checks if a tag is assigned to the event if enabled, and also checks that a tag is not assigned to the event if disabled.

Parameters:

Name	Type	Description	Default
splunk_search_util	SearchUtil	object that helps to search on Splunk.	required
splunk_ingest_data	fixture	Ensure data was ingested before running test	required
splunk_setup	fixture	Ensure that test environment was set up before running test	required
splunk_searchtime_fields_tags	fixture	pytest parameters to test.	required
record_property	fixture	Document facts of test cases to provide more info in the test failure reports.	required
caplog	fixture	fixture to capture logs.	required

Source code in pytest_splunk_addon/fields_tests/test_templates.py

@pytest.mark.splunk_searchtime_fields
@pytest.mark.splunk_searchtime_fields_tags
def test_tags(
    self,
    splunk_search_util,
    splunk_ingest_data,
    splunk_setup,
    splunk_searchtime_fields_tags,
    record_property,
    caplog,
):
    """
    Test case to check tags mentioned in tags.conf

    This test case checks if a tag is assigned to the event if enabled,
    and also checks that a tag is not assigned to the event if disabled.

    Args:
        splunk_search_util (splunksplwrapper.SearchUtil.SearchUtil): object that helps to search on Splunk.
        splunk_ingest_data (fixture): Ensure data was ingested before running test
        splunk_setup (fixture): Ensure that test environment was set up before running test
        splunk_searchtime_fields_tags (fixture): pytest parameters to test.
        record_property (fixture): Document facts of test cases to provide more info in the test failure reports.
        caplog (fixture): fixture to capture logs.
    """

    is_tag_enabled = splunk_searchtime_fields_tags.get("enabled", True)
    tag_query = splunk_searchtime_fields_tags["stanza"]
    tag = splunk_searchtime_fields_tags["tag"]
    self.logger.info(f"Testing for tag {tag} with tag_query {tag_query}")

    record_property("Event_with", tag_query)
    record_property("tag", tag)
    record_property("is_tag_enabled", is_tag_enabled)

    index_list = (
        "(index="
        + " OR index=".join(splunk_search_util.search_index.split(","))
        + ")"
    )
    search = f"search {index_list} {tag_query} AND tag={tag}"
    search += COUNT_BY_SOURCE_TYPE_SEARCH_QUERY_PART

    self.logger.info(f"Search: {search}")

    result = splunk_search_util.checkQueryCountIsGreaterThanZero(
        search,
        interval=splunk_search_util.search_interval,
        retries=splunk_search_util.search_retry,
    )

    record_property("search", search)

    if is_tag_enabled:
        assert result, (
            f"\nNo events found for the enabled Tag={tag}."
            f"{format_search_query_log(search)}"
            f"\ninterval={splunk_search_util.search_interval}, retries={splunk_search_util.search_retry}"
        )
    else:
        assert not result, (
            f"\nEvents found for the disabled Tag={tag}."
            f"{format_search_query_log(search)}"
            f"\ninterval={splunk_search_util.search_interval}, retries={splunk_search_util.search_retry}"
        )

TestGenerator

Module include class to generate the test cases to test the knowledge objects of an Add-on.

FieldTestGenerator

Bases: object

Generates test cases to test the knowledge objects of an Add-on.

• Provides the pytest parameters to the test templates.
• Supports field_bank: List of fields with patterns and expected values which should be tested for the Add-on.

Parameters:

Name	Type	Description	Default
app_path	str	Path of the app package	required
tokenized_events	list	list of tokenized events	required
field_bank	str	Path of the fields Json file	None

Source code in pytest_splunk_addon/fields_tests/test_generator.py

class FieldTestGenerator(object):
    """
    Generates test cases to test the knowledge objects of an Add-on.

    * Provides the pytest parameters to the test templates.
    * Supports field_bank: List of fields with patterns and expected
      values which should be tested for the Add-on.

    Args:
        app_path (str): Path of the app package
        tokenized_events (list): list of tokenized events
        field_bank (str): Path of the fields Json file
    """

    def __init__(self, app_path, tokenized_events, field_bank=None):
        LOGGER.debug("initializing AddonParser to parse the app")
        self.app_path = app_path
        self.addon_parser = AddonParser(self.app_path)
        self.tokenized_events = tokenized_events
        self.field_bank = field_bank

    def generate_tests(self, fixture):
        """
        Generate the test cases based on the fixture provided
        supported fixtures:

            * splunk_searchtime_fields_positive
            * splunk_searchtime_fields_negative
            * splunk_searchtime_fields_tags
            * splunk_searchtime_fields_eventtypes
            * splunk_searchtime_fields_savedsearches
            * splunk_searchtime_fields_requirements

        Args:
            fixture (str): fixture name

        """
        if fixture.endswith("positive"):
            yield from self.generate_field_tests(is_positive=True)
        elif fixture.endswith("negative"):
            yield from self.generate_field_tests(is_positive=False)
        elif fixture.endswith("tags"):
            yield from self.generate_tag_tests()
        elif fixture.endswith("eventtypes"):
            yield from self.generate_eventtype_tests()
        elif fixture.endswith("savedsearches"):
            yield from self.generate_savedsearches_tests()
        elif fixture.endswith("requirements"):
            yield from self.generate_requirements_tests()
        elif fixture.endswith("datamodels"):
            yield from self.generate_requirements_datamodels_tests()

    def generate_field_tests(self, is_positive):
        """
        Generate test case for fields

        Args:
            is_positive (bool): Test type to generate

        Yields:
            pytest.params for the test templates
        """
        LOGGER.info("generating field tests")
        field_itr = chain(
            FieldBank.init_field_bank_tests(self.field_bank),
            self.addon_parser.get_props_fields(),
        )
        for fields_group in field_itr:
            # Generate test case for the stanza
            # Do not generate if it is a negative test case
            if is_positive:
                stanza_test_group = fields_group.copy()
                stanza_test_group["fields"] = []
                yield pytest.param(
                    stanza_test_group, id="{stanza}".format(**fields_group)
                )

            # Generate a test case for all the fields in the classname
            if self._contains_classname(fields_group, ["EXTRACT", "REPORT", "LOOKUP"]):
                # ACD-4136: Convert the Field objects to dictionary to resolve the shared
                # memory issue with pytest-xdist parallel execution
                test_group = fields_group.copy()
                test_group["fields"] = [each.__dict__ for each in test_group["fields"]]
                yield pytest.param(
                    test_group, id="{stanza}::{classname}".format(**test_group)
                )

            # For each field mentioned in field_bank, a separate
            # test should be generated.
            # Counter to make the test_id unique
            field_bank_id = 0

            # Generate test-cases for each field in classname one by one
            for each_field in fields_group["fields"]:
                # Create a dictionary for a single field with classname and stanza
                # ACD-4136: Convert the Field object to dictionary to resolve the shared
                # memory issue with pytest-xdist parallel execution
                one_field_group = fields_group.copy()
                one_field_group["fields"] = [each_field.__dict__]
                if fields_group["classname"] != "field_bank":
                    test_type = "field"
                else:
                    field_bank_id += 1
                    test_type = f"field_bank_{field_bank_id}"

                stanza = fields_group["stanza"]
                yield pytest.param(
                    one_field_group, id=f"{stanza}::{test_type}::{each_field}"
                )

    def generate_tag_tests(self):
        """
        Generate test case for tags

        Yields:
            pytest.params for the test templates
        """
        for each_tag_group in self.addon_parser.get_tags():
            yield pytest.param(
                each_tag_group, id="{stanza}::tag::{tag}".format(**each_tag_group)
            )

    def generate_requirements_datamodels_tests(self):
        """
        Generate test case for datamodels

        Yields:
            pytest.params for the test templates
        """
        for event in self.tokenized_events:
            if (
                not event.requirement_test_data
                or event.requirement_test_data.keys() == {"other_fields"}
            ):
                continue
            if event.metadata.get("input_type", "").startswith("syslog"):
                stripped_event = xml_event_parser.strip_syslog_header(event.event)
                if stripped_event is None:
                    LOGGER.error(
                        "Syslog event do not match CEF, RFC_3164, RFC_5424 format"
                    )
                    continue
            else:
                stripped_event = event.event

            escaped_event = xml_event_parser.escape_char_event(stripped_event)
            datamodels = event.requirement_test_data.get("datamodels")
            if datamodels:
                if type(datamodels) is dict:
                    if type(datamodels["model"]) == list:
                        datamodels = datamodels["model"]
                    else:
                        datamodels = [datamodels]
                        datamodels = [dm["model"] for dm in datamodels]
            else:
                datamodels = []
            datamodels = [
                datamodel.replace(" ", "_").replace(":", "_")
                for datamodel in datamodels
            ]
            yield pytest.param(
                {
                    "datamodels": datamodels,
                    "stanza": escaped_event,
                },
                id=f"{'-'.join(datamodels)}::sample_name::{event.sample_name}::host::{event.metadata.get('host')}",
            )

    def generate_eventtype_tests(self):
        """
        Generate test case for eventtypes

        Yields:
            pytest.params for the test templates

        """
        for each_eventtype in self.addon_parser.get_eventtypes():
            yield pytest.param(
                each_eventtype, id="eventtype::{stanza}".format(**each_eventtype)
            )

    def generate_savedsearches_tests(self):
        """
        Generate test case for savedsearches

        Yields:
            pytest.params for the test templates
        """
        for each_savedsearch in self.addon_parser.get_savedsearches():
            yield pytest.param(
                each_savedsearch, id="{stanza}".format(**each_savedsearch)
            )

    def generate_requirements_tests(self):
        """
        Generate test cases for fields defined for datamodel
        This function generates tests previously covered by requirement tests

        Yields:
            pytest.params for the test templates
        """
        for event in self.tokenized_events:
            if not event.requirement_test_data:
                continue
            if event.metadata.get("input_type", "").startswith("syslog"):
                stripped_event = xml_event_parser.strip_syslog_header(event.event)
                if stripped_event is None:
                    LOGGER.error(
                        "Syslog event do not match CEF, RFC_3164, RFC_5424 format"
                    )
                    continue
            else:
                stripped_event = event.event

            escaped_event = xml_event_parser.escape_char_event(stripped_event)
            exceptions = event.requirement_test_data.get("exceptions", {})
            metadata = event.metadata
            modinput_params = {
                "sourcetype": metadata.get("sourcetype_to_search"),
            }

            cim_fields = event.requirement_test_data.get("cim_fields", {})
            other_fields = event.requirement_test_data.get("other_fields", {})
            requirement_fields = {**cim_fields, **other_fields}

            if requirement_fields:
                requirement_fields = {
                    field: value
                    for field, value in requirement_fields.items()
                    if field not in exceptions
                }
                yield pytest.param(
                    {
                        "escaped_event": escaped_event,
                        "fields": requirement_fields,
                        "modinput_params": modinput_params,
                    },
                    id=f"sample_name::{event.sample_name}::host::{event.metadata.get('host')}",
                )

    def _contains_classname(self, fields_group, criteria):
        """
        Check if the field_group dictionary contains the classname
        """
        return any([fields_group["classname"].startswith(each) for each in criteria])

generate_eventtype_tests()

Generate test case for eventtypes

Yields:

Type	Description
	pytest.params for the test templates

Source code in pytest_splunk_addon/fields_tests/test_generator.py

def generate_eventtype_tests(self):
    """
    Generate test case for eventtypes

    Yields:
        pytest.params for the test templates

    """
    for each_eventtype in self.addon_parser.get_eventtypes():
        yield pytest.param(
            each_eventtype, id="eventtype::{stanza}".format(**each_eventtype)
        )

generate_field_tests(is_positive)

Generate test case for fields

Parameters:

Name	Type	Description	Default
is_positive	bool	Test type to generate	required

Yields:

Type	Description
	pytest.params for the test templates

Source code in pytest_splunk_addon/fields_tests/test_generator.py

def generate_field_tests(self, is_positive):
    """
    Generate test case for fields

    Args:
        is_positive (bool): Test type to generate

    Yields:
        pytest.params for the test templates
    """
    LOGGER.info("generating field tests")
    field_itr = chain(
        FieldBank.init_field_bank_tests(self.field_bank),
        self.addon_parser.get_props_fields(),
    )
    for fields_group in field_itr:
        # Generate test case for the stanza
        # Do not generate if it is a negative test case
        if is_positive:
            stanza_test_group = fields_group.copy()
            stanza_test_group["fields"] = []
            yield pytest.param(
                stanza_test_group, id="{stanza}".format(**fields_group)
            )

        # Generate a test case for all the fields in the classname
        if self._contains_classname(fields_group, ["EXTRACT", "REPORT", "LOOKUP"]):
            # ACD-4136: Convert the Field objects to dictionary to resolve the shared
            # memory issue with pytest-xdist parallel execution
            test_group = fields_group.copy()
            test_group["fields"] = [each.__dict__ for each in test_group["fields"]]
            yield pytest.param(
                test_group, id="{stanza}::{classname}".format(**test_group)
            )

        # For each field mentioned in field_bank, a separate
        # test should be generated.
        # Counter to make the test_id unique
        field_bank_id = 0

        # Generate test-cases for each field in classname one by one
        for each_field in fields_group["fields"]:
            # Create a dictionary for a single field with classname and stanza
            # ACD-4136: Convert the Field object to dictionary to resolve the shared
            # memory issue with pytest-xdist parallel execution
            one_field_group = fields_group.copy()
            one_field_group["fields"] = [each_field.__dict__]
            if fields_group["classname"] != "field_bank":
                test_type = "field"
            else:
                field_bank_id += 1
                test_type = f"field_bank_{field_bank_id}"

            stanza = fields_group["stanza"]
            yield pytest.param(
                one_field_group, id=f"{stanza}::{test_type}::{each_field}"
            )

generate_requirements_datamodels_tests()

Generate test case for datamodels

Yields:

Type	Description
	pytest.params for the test templates

Source code in pytest_splunk_addon/fields_tests/test_generator.py

def generate_requirements_datamodels_tests(self):
    """
    Generate test case for datamodels

    Yields:
        pytest.params for the test templates
    """
    for event in self.tokenized_events:
        if (
            not event.requirement_test_data
            or event.requirement_test_data.keys() == {"other_fields"}
        ):
            continue
        if event.metadata.get("input_type", "").startswith("syslog"):
            stripped_event = xml_event_parser.strip_syslog_header(event.event)
            if stripped_event is None:
                LOGGER.error(
                    "Syslog event do not match CEF, RFC_3164, RFC_5424 format"
                )
                continue
        else:
            stripped_event = event.event

        escaped_event = xml_event_parser.escape_char_event(stripped_event)
        datamodels = event.requirement_test_data.get("datamodels")
        if datamodels:
            if type(datamodels) is dict:
                if type(datamodels["model"]) == list:
                    datamodels = datamodels["model"]
                else:
                    datamodels = [datamodels]
                    datamodels = [dm["model"] for dm in datamodels]
        else:
            datamodels = []
        datamodels = [
            datamodel.replace(" ", "_").replace(":", "_")
            for datamodel in datamodels
        ]
        yield pytest.param(
            {
                "datamodels": datamodels,
                "stanza": escaped_event,
            },
            id=f"{'-'.join(datamodels)}::sample_name::{event.sample_name}::host::{event.metadata.get('host')}",
        )

generate_requirements_tests()

Generate test cases for fields defined for datamodel This function generates tests previously covered by requirement tests

Yields:

Type	Description
	pytest.params for the test templates

Source code in pytest_splunk_addon/fields_tests/test_generator.py

def generate_requirements_tests(self):
    """
    Generate test cases for fields defined for datamodel
    This function generates tests previously covered by requirement tests

    Yields:
        pytest.params for the test templates
    """
    for event in self.tokenized_events:
        if not event.requirement_test_data:
            continue
        if event.metadata.get("input_type", "").startswith("syslog"):
            stripped_event = xml_event_parser.strip_syslog_header(event.event)
            if stripped_event is None:
                LOGGER.error(
                    "Syslog event do not match CEF, RFC_3164, RFC_5424 format"
                )
                continue
        else:
            stripped_event = event.event

        escaped_event = xml_event_parser.escape_char_event(stripped_event)
        exceptions = event.requirement_test_data.get("exceptions", {})
        metadata = event.metadata
        modinput_params = {
            "sourcetype": metadata.get("sourcetype_to_search"),
        }

        cim_fields = event.requirement_test_data.get("cim_fields", {})
        other_fields = event.requirement_test_data.get("other_fields", {})
        requirement_fields = {**cim_fields, **other_fields}

        if requirement_fields:
            requirement_fields = {
                field: value
                for field, value in requirement_fields.items()
                if field not in exceptions
            }
            yield pytest.param(
                {
                    "escaped_event": escaped_event,
                    "fields": requirement_fields,
                    "modinput_params": modinput_params,
                },
                id=f"sample_name::{event.sample_name}::host::{event.metadata.get('host')}",
            )

generate_savedsearches_tests()

Generate test case for savedsearches

Yields:

Type	Description
	pytest.params for the test templates

Source code in pytest_splunk_addon/fields_tests/test_generator.py

def generate_savedsearches_tests(self):
    """
    Generate test case for savedsearches

    Yields:
        pytest.params for the test templates
    """
    for each_savedsearch in self.addon_parser.get_savedsearches():
        yield pytest.param(
            each_savedsearch, id="{stanza}".format(**each_savedsearch)
        )

generate_tag_tests()

Generate test case for tags

Yields:

Type	Description
	pytest.params for the test templates

Source code in pytest_splunk_addon/fields_tests/test_generator.py

def generate_tag_tests(self):
    """
    Generate test case for tags

    Yields:
        pytest.params for the test templates
    """
    for each_tag_group in self.addon_parser.get_tags():
        yield pytest.param(
            each_tag_group, id="{stanza}::tag::{tag}".format(**each_tag_group)
        )

generate_tests(fixture)

Generate the test cases based on the fixture provided supported fixtures:

* splunk_searchtime_fields_positive
* splunk_searchtime_fields_negative
* splunk_searchtime_fields_tags
* splunk_searchtime_fields_eventtypes
* splunk_searchtime_fields_savedsearches
* splunk_searchtime_fields_requirements

Parameters:

Name	Type	Description	Default
fixture	str	fixture name	required

Source code in pytest_splunk_addon/fields_tests/test_generator.py

def generate_tests(self, fixture):
    """
    Generate the test cases based on the fixture provided
    supported fixtures:

        * splunk_searchtime_fields_positive
        * splunk_searchtime_fields_negative
        * splunk_searchtime_fields_tags
        * splunk_searchtime_fields_eventtypes
        * splunk_searchtime_fields_savedsearches
        * splunk_searchtime_fields_requirements

    Args:
        fixture (str): fixture name

    """
    if fixture.endswith("positive"):
        yield from self.generate_field_tests(is_positive=True)
    elif fixture.endswith("negative"):
        yield from self.generate_field_tests(is_positive=False)
    elif fixture.endswith("tags"):
        yield from self.generate_tag_tests()
    elif fixture.endswith("eventtypes"):
        yield from self.generate_eventtype_tests()
    elif fixture.endswith("savedsearches"):
        yield from self.generate_savedsearches_tests()
    elif fixture.endswith("requirements"):
        yield from self.generate_requirements_tests()
    elif fixture.endswith("datamodels"):
        yield from self.generate_requirements_datamodels_tests()

FieldBank

To enhance the test cases while verifying the field extractions.

FieldBank

Bases: object

List of fields with patterns and expected

values which should be tested for the Add-on.

Steps to use:

1. Create a json file with the list of fields.

   Example::

   {
       "stanza_name": [    # Key should be stanza_name
           {
               "name": "action",
               "condition": "| regex _raw=\"success\""
               "validity": "action=if(action=\"unknown\", null(), action)"
               "expected_values": ["success", "failure"]
               "negative_values": ["", "-", "unknown"]
           }
       ]
   }
   

   .. csv-table:: :header: Parameter, Description

   condition, A filtering SPL command.
   validity, An EVAL statement. Filter out invalid value of a field
   expected_fields, List of expected_fields
   negative_fields, The list of values the field should not have
   

   supported stanza_type:

   1. source
   2. sourcetype
   

2. Provide path of the json file with –field-bank=path parameter

Source code in pytest_splunk_addon/fields_tests/field_bank.py

class FieldBank(object):
    """
    Supports field_bank: List of fields with patterns and expected
        values which should be tested for the Add-on.

    Steps to use:

    1. Create a json file with the list of fields.

        Example::

            {
                "stanza_name": [    # Key should be stanza_name
                    {
                        "name": "action",
                        "condition": "| regex _raw=\\"success\\""
                        "validity": "action=if(action=\\"unknown\\", null(), action)"
                        "expected_values": ["success", "failure"]
                        "negative_values": ["", "-", "unknown"]
                    }
                ]
            }


        .. csv-table::
            :header: Parameter, Description

            condition, A filtering SPL command.
            validity, An EVAL statement. Filter out invalid value of a field
            expected_fields, List of expected_fields
            negative_fields, The list of values the field should not have

        supported stanza_type:

            1. source
            2. sourcetype

    2. Provide path of the json file with --field-bank=path parameter
    """

    @classmethod
    def init_field_bank_tests(cls, field_bank_path):
        """
        Parse the field JSON file and return the list of fields

        Args:
            field_bank_path (str): Path of the field JSON file

        Yields:
            dict: details of the fields including stanza and stanza_type
        """
        if field_bank_path:
            with open(field_bank_path) as field_file:
                stanza_list = json.load(field_file)
            for each_stanza in stanza_list:
                if each_stanza.startswith("host::"):
                    continue
                field_list = Field.parse_fields(stanza_list[each_stanza])
                if each_stanza.startswith("source::"):
                    for each_source in PropsParser.get_list_of_sources(each_stanza):
                        yield {
                            "stanza": each_source,
                            "stanza_type": "source",
                            "classname": "field_bank",
                            "fields": field_list,
                        }
                else:
                    yield {
                        "stanza": each_stanza,
                        "stanza_type": "sourcetype",
                        "classname": "field_bank",
                        "fields": field_list,
                    }

init_field_bank_tests(field_bank_path) classmethod

Parse the field JSON file and return the list of fields

Parameters:

Name	Type	Description	Default
field_bank_path	str	Path of the field JSON file	required

Yields:

Name	Type	Description
dict		details of the fields including stanza and stanza_type

Source code in pytest_splunk_addon/fields_tests/field_bank.py

@classmethod
def init_field_bank_tests(cls, field_bank_path):
    """
    Parse the field JSON file and return the list of fields

    Args:
        field_bank_path (str): Path of the field JSON file

    Yields:
        dict: details of the fields including stanza and stanza_type
    """
    if field_bank_path:
        with open(field_bank_path) as field_file:
            stanza_list = json.load(field_file)
        for each_stanza in stanza_list:
            if each_stanza.startswith("host::"):
                continue
            field_list = Field.parse_fields(stanza_list[each_stanza])
            if each_stanza.startswith("source::"):
                for each_source in PropsParser.get_list_of_sources(each_stanza):
                    yield {
                        "stanza": each_source,
                        "stanza_type": "source",
                        "classname": "field_bank",
                        "fields": field_list,
                    }
            else:
                yield {
                    "stanza": each_stanza,
                    "stanza_type": "sourcetype",
                    "classname": "field_bank",
                    "fields": field_list,
                }