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+1,9 @@ +[build-system] +build-backend = "poetry.core.masonry.api" +requires = [ + "poetry-core==1.9", +] + [tool.poetry] name = "tap-google-analytics" version = "0.0.6" @@ -7,32 +13,86 @@ keywords = [ "ELT", "GoogleAnalytics", ] -license = "Apache 2.0" +license = "Apache-2.0" [tool.poetry.dependencies] -python = ">=3.7.1,<3.12" # Tested up to 3.11 -singer-sdk = "^0.27.0" -google-analytics-data = "0.14.2" - -[tool.poetry.dev-dependencies] -pytest = "^7.2.1" -tox = "^3.28.0" -flake8 = "^5.0.4" -black = "^23.1" -pydocstyle = "^6.1.1" -mypy = "^1.0" -isort = "^5.11.5" -coverage = "^7.1" - -[tool.isort] -profile = "black" -multi_line_output = 3 # Vertical Hanging Indent -src_paths = "tap_google_analytics" +python = ">=3.8" +backports-datetime-fromisoformat = {version = "~=2.0.1", python = "<3.11"} +singer-sdk = "~=0.35.0" +google-analytics-data = "~=0.14.2" -[build-system] -requires = ["poetry-core>=1.0.0"] -build-backend = "poetry.core.masonry.api" +[tool.poetry.group.dev.dependencies] +pytest = ">=7.2.1" +coverage = ">=7.1" +mypy = ">=1.8" +ruff = ">=0.2.1" [tool.poetry.scripts] # CLI declaration tap-google-analytics = 'tap_google_analytics.tap:TapGoogleAnalytics.cli' + +[tool.ruff] +line-length = 100 +target-version = "py38" + +[tool.ruff.lint] +ignore = [ + "COM812", + "ISC001", +] +select = [ + "F", # Pyflakes + "W", # pycodestyle (warnings) + "E", # pycodestyle (errors) + "C90", # mccabe + "I", # isort + "N", # pep8-naming + "D", # pydocstyle + "UP", # pyupgrade + "YTT", # flake8-2020 + "S", # flake8-bandit + "BLE", # flake8-blind-except + "FBT", # flake8-boolean-trap + "B", # flake8-bugbear + "A", # flake8-builtins + "COM", # flake8-commas + "C4", # flake8-comprehensions + "DTZ", # flake8-datetimez + "FA", # flake8-future-annotations + "ISC", # flake8-implicit-str-concat + "G", # flake8-logging-format + "INP", # flake8-no-pep420 + "PIE", # flake8-pie + "T20", # flake8-print + "PT", # flake8-pytest-style + "Q", # flake8-quotes + "RSE", # flake8-raise + "RET", # flake8-return + "SLF", # flake8-self + "SIM", # flake8-simplify + "TID", # flake8-tidy-imports + "TCH", # flake8-type-checking + "ARG", # flake8-unused-arguments + "PTH", # flake8-use-pathlib + "ERA", # eradicate + "PGH", # pygrep-hooks + "PL", # Pylint + "TRY", # tryceratops + "FLY", # flynt + "PERF", # perflint + "FURB", # refurb + "LOG", # flake8-logging + "RUF", # Ruff-specific rules +] +unfixable = [ + "ERA", +] + +[tool.ruff.lint.isort] +required-imports = ["from __future__ import annotations"] + +[tool.ruff.lint.per-file-ignores] +"tests/*" = ["S101"] + +[tool.ruff.lint.pydocstyle] +convention = "google" diff --git a/tap_google_analytics/client.py b/tap_google_analytics/client.py index faff372..010327b 100644 --- a/tap_google_analytics/client.py +++ b/tap_google_analytics/client.py @@ -1,9 +1,11 @@ """Custom client handling, including GoogleAnalyticsStream base class.""" +from __future__ import annotations + import copy import sys -from datetime import datetime, timedelta -from typing import Any, Dict, Iterable, List, Optional, cast +from datetime import date, datetime, timedelta, timezone +from typing import Any, Iterable import backoff from google.analytics.data_v1beta.types import ( @@ -12,12 +14,16 @@ RunReportRequest, RunReportResponse, ) -from pendulum import parse from singer_sdk import typing as th from singer_sdk.streams import Stream from tap_google_analytics.error import is_fatal_error +if sys.version_info < (3, 11): + from backports.datetime_fromisoformat import MonkeyPatch + + MonkeyPatch.patch_fromisoformat() + class GoogleAnalyticsStream(Stream): """Stream class for GoogleAnalytics streams.""" @@ -36,40 +42,47 @@ def __init__(self, *args, **kwargs) -> None: self.page_size = 100000 def _get_end_date(self): - end_date = self.config.get("end_date", datetime.utcnow().strftime("%Y-%m-%d")) - end_date_offset = datetime.strptime(end_date, "%Y-%m-%d") - timedelta(days=1) + end_date_config = self.config.get("end_date") + end_date = ( + datetime.strptime(end_date_config, "%Y-%m-%d").replace(tzinfo=timezone.utc) + if end_date_config + else datetime.now(timezone.utc) + ) + end_date_offset = end_date - timedelta(days=1) return end_date_offset.strftime("%Y-%m-%d") def _parse_dimension_type(self, attribute, dimensions_ref): if attribute in dimensions_ref: return self._parse_other_attrb_type(dimensions_ref[attribute]) - else: - self.logger.critical(f"Unsuported GA type: {type}") - sys.exit(1) + self.logger.critical("Unsupported GA type: %s", type) + sys.exit(1) def _parse_metric_type(self, attribute, metrics_ref): # Custom Google Analytics Metrics {ga:goalXXStarts, ga:metricXX, ... } # We always treat them as strings as we can not be sure of # their data type - if attribute.startswith("goal") and attribute.endswith( - ( - "Starts", - "Completions", - "Value", - "ConversionRate", - "Abandons", - "AbandonRate", + if ( + attribute.startswith("goal") + and attribute.endswith( + ( + "Starts", + "Completions", + "Value", + "ConversionRate", + "Abandons", + "AbandonRate", + ) ) + or attribute.startswith(("metric", "calcMetric")) ): return "string" - elif attribute.startswith(("metric", "calcMetric")): - return "string" - elif attribute in metrics_ref: + + if attribute in metrics_ref: return self._parse_other_attrb_type(metrics_ref[attribute]) - else: - self.logger.critical(f"Unsuported GA type: {type}") - sys.exit(1) + + self.logger.critical("Unsupported GA type: %s", type) + sys.exit(1) def _parse_other_attrb_type(self, attr_type): data_type = "string" @@ -81,15 +94,16 @@ def _parse_other_attrb_type(self, attr_type): return data_type - def _lookup_data_type(self, type, attribute, dimensions_ref, metrics_ref): + def _lookup_data_type(self, field_type, attribute, dimensions_ref, metrics_ref): """Get the data type of a metric or a dimension.""" - if type == "dimension": + if field_type == "dimension": return self._parse_dimension_type(attribute, dimensions_ref) - elif type == "metric": + + if field_type == "metric": return self._parse_metric_type(attribute, metrics_ref) - else: - self.logger.critical(f"Unsuported GA type: {type}") - sys.exit(1) + + self.logger.critical("Unsupported GA type: %s", field_type) + sys.exit(1) @staticmethod def _generate_report_definition(report_def_raw): @@ -103,28 +117,27 @@ def _generate_report_definition(report_def_raw): # Add segmentIds to the request if the stream contains them if "segments" in report_def_raw: - report_definition["segments"] = [] - for segment_id in report_def_raw["segments"]: - report_definition["segments"].append({"segmentId": segment_id}) - + report_definition["segments"] = [ + {"segmentId": segment_id} for segment_id in report_def_raw["segments"] + ] return report_definition def _request_data( - self, api_report_def, state_filter: str, next_page_token: Optional[Any] + self, api_report_def, state_filter: str, next_page_token: Any | None ) -> RunReportResponse: return self._query_api(api_report_def, state_filter, next_page_token) - def _get_state_filter(self, context: Optional[dict]) -> str: + def _get_state_filter(self, context: dict | None) -> str: state = self.get_context_state(context) state_bookmark = state.get("replication_key_value") or self.config["start_date"] - parsed = cast(datetime, parse(state_bookmark)) - parsed = parsed.replace(tzinfo=None) - if parsed < datetime(2019, 1, 1): - parsed = datetime(2019, 1, 1) + parsed = date.fromisoformat(state_bookmark) + if parsed < date(2019, 1, 1): + parsed = date(2019, 1, 1) + # state bookmarks need to be reformatted for API requests - return datetime.strftime(parsed, "%Y-%m-%d") + return date.strftime(parsed, "%Y-%m-%d") - def _request_records(self, context: Optional[dict]) -> Iterable[dict]: + def _request_records(self, context: dict | None) -> Iterable[dict]: """Request records from REST endpoint(s), returning response records. If pagination is detected, pages will be recursed automatically. @@ -132,15 +145,12 @@ def _request_records(self, context: Optional[dict]) -> Iterable[dict]: Args: context: Stream partition or context dictionary. - Yields - ------ + Yields: An item for every record in the response. - Raises - ------ + Raises: RuntimeError: If a loop in pagination is detected. That is, when two consecutive pagination tokens are identical. - """ next_page_token: Any = None finished = False @@ -153,17 +163,19 @@ def _request_records(self, context: Optional[dict]) -> Iterable[dict]: state_filter=state_filter, next_page_token=next_page_token, ) - for row in self._parse_response(resp): - yield row + + yield from self._parse_response(resp) + previous_token = copy.deepcopy(next_page_token) next_page_token = self._get_next_page_token( response=resp, previous_token=previous_token ) if next_page_token and next_page_token == previous_token: - raise RuntimeError( + msg = ( f"Loop detected in pagination. " f"Pagination token {next_page_token} is identical to prior token." ) + raise RuntimeError(msg) # Cycle until get_next_page_token() no longer returns a value finished = not next_page_token @@ -174,73 +186,66 @@ def _get_next_page_token(self, response: RunReportResponse, previous_token) -> A response: The response from the API. previous_token: The previous page token. - Returns - ------- + Returns: The next page token, or None if there are no more pages. - """ previous_token = previous_token or 0 next_token = previous_token + 1 total_rows = response.row_count - if total_rows >= next_token * self.page_size: - return next_token - return None + return next_token if total_rows >= next_token * self.page_size else None def _parse_response(self, response): - if response: - dimensionHeaders = [d.name for d in response.dimension_headers] - metricHeaders = [mh.name for mh in response.metric_headers] - - for row in response.rows: - record = {} - dimensions = [d.value for d in row.dimension_values] - dateRangeValues = row.metric_values - - for header, dimension in zip(dimensionHeaders, dimensions): - data_type = self._lookup_data_type( - "dimension", header, self.dimensions_ref, self.metrics_ref - ) + if not response: + return + dimensionHeaders = [d.name for d in response.dimension_headers] # noqa: N806 + metricHeaders = [mh.name for mh in response.metric_headers] # noqa: N806 + + for row in response.rows: + record = {} + dimensions = [d.value for d in row.dimension_values] + dateRangeValues = row.metric_values # noqa: N806 + + for header, dimension in zip(dimensionHeaders, dimensions): + data_type = self._lookup_data_type( + "dimension", header, self.dimensions_ref, self.metrics_ref + ) - if data_type == "integer": - value = int(dimension) - elif data_type == "number": - value = float(dimension) - else: - value = dimension + if data_type == "integer": + value = int(dimension) + elif data_type == "number": + value = float(dimension) + else: + value = dimension - record[header] = value + record[header] = value - for metric_name, value in zip(metricHeaders, dateRangeValues): - metric_type = self._lookup_data_type( - "metric", metric_name, self.dimensions_ref, self.metrics_ref - ) + for metric_name, value in zip(metricHeaders, dateRangeValues): + metric_type = self._lookup_data_type( + "metric", metric_name, self.dimensions_ref, self.metrics_ref + ) - if hasattr(value, "value"): - value = value.value + if hasattr(value, "value"): + value = value.value # noqa: PLW2901 - if metric_type == "integer": - value = int(value) - elif metric_type == "number": - value = float(value) + if metric_type == "integer": + value = int(value) # noqa: PLW2901 + elif metric_type == "number": + value = float(value) # noqa: PLW2901 - record[metric_name] = value + record[metric_name] = value - # Also add the [start_date,end_date) used for the report - record["report_start_date"] = self.config.get("start_date") - record["report_end_date"] = self.end_date + # Also add the [start_date,end_date) used for the report + record["report_start_date"] = self.config.get("start_date") + record["report_end_date"] = self.end_date - yield record + yield record @backoff.on_exception(backoff.expo, (Exception), max_tries=5, giveup=is_fatal_error) - def _query_api( - self, report_definition, state_filter, pageToken=None - ) -> RunReportResponse: + def _query_api(self, report_definition, state_filter, pageToken=None) -> RunReportResponse: # noqa: N803 """Query the Analytics Reporting API V4. - Returns - ------- + Returns: The Analytics Reporting API V4 response. - """ request = RunReportRequest( property=f"properties/{self.property_id}", @@ -262,7 +267,7 @@ def _get_datatype(string_type): } return mapping.get(string_type, th.StringType()) - def get_records(self, context: Optional[dict]) -> Iterable[Dict[str, Any]]: + def get_records(self, context: dict | None) -> Iterable[dict[str, Any]]: """Return a generator of row-type dictionary objects. Each row emitted should be a dictionary of property names to their values. @@ -270,13 +275,11 @@ def get_records(self, context: Optional[dict]) -> Iterable[Dict[str, Any]]: Args: context: Stream partition or context dictionary. - Yields - ------ + Yields: One item per (possibly processed) record in the API. """ - for record in self._request_records(context): - yield record + yield from self._request_records(context) @property def schema(self) -> dict: @@ -285,7 +288,7 @@ def schema(self) -> dict: Dynamically detect the json schema for the stream. This is evaluated prior to any records being retrieved. """ - properties: List[th.Property] = [] + properties: list[th.Property] = [] primary_keys = [] # : List[th.StringType] = [] @@ -300,9 +303,7 @@ def schema(self) -> dict: data_type = self._lookup_data_type( "dimension", dimension, self.dimensions_ref, self.metrics_ref ) - properties.append( - th.Property(dimension, self._get_datatype(data_type), required=True) - ) + properties.append(th.Property(dimension, self._get_datatype(data_type), required=True)) primary_keys.append(dimension) # Add the metrics to the schema @@ -312,23 +313,20 @@ def schema(self) -> dict: ) properties.append(th.Property(metric, self._get_datatype(data_type))) - # Also add the {start_date, end_date} params for the report query - properties.append( - th.Property("report_start_date", th.StringType(), required=True) - ) - properties.append( - th.Property("report_end_date", th.StringType(), required=True) + properties.extend( + ( + th.Property("report_start_date", th.StringType(), required=True), + th.Property("report_end_date", th.StringType(), required=True), + ) ) - # If 'ga:date' has not been added as a Dimension, add the # {start_date, end_date} params as keys if not date_dimension_included: - self.logger.warn( - f"Incrmental sync not supported for stream {self.tap_stream_id}, \ - 'ga.date' is the only supported replication key at this time." + self.logger.warning( + "Incremental sync not supported for stream %s, 'ga.date' is the only " + "supported replication key at this time.", + self.tap_stream_id, ) - primary_keys.append("report_start_date") - primary_keys.append("report_end_date") - + primary_keys.extend(("report_start_date", "report_end_date")) self.primary_keys = primary_keys return th.PropertiesList(*properties).to_dict() diff --git a/tap_google_analytics/error.py b/tap_google_analytics/error.py index f72a91d..477ddeb 100644 --- a/tap_google_analytics/error.py +++ b/tap_google_analytics/error.py @@ -1,5 +1,8 @@ """GoogleAnalytics error classes.""" +from __future__ import annotations + +import contextlib import json import logging import socket @@ -56,12 +59,9 @@ def error_reason(e): # the JSON response body. reason = "" - try: + with contextlib.suppress(Exception): data = json.loads(e.content.decode("utf-8")) reason = data["error"]["errors"][0]["reason"] - except Exception: - pass - return reason @@ -75,7 +75,7 @@ def is_fatal_error(error): if isinstance(error, socket.timeout): return False - status = error.code if getattr(error, "message") is not None else None + status = error.code if error.message is not None else None if status in [500, 503]: return False @@ -85,5 +85,5 @@ def is_fatal_error(error): if reason in NON_FATAL_ERRORS: return False - LOGGER.critical(f"Received fatal error {error}, reason={reason}, status={status}") + LOGGER.critical("Received fatal error %s, reason=%s, status=%s", error, reason, status) return True diff --git a/tap_google_analytics/tap.py b/tap_google_analytics/tap.py index 6f0cd63..a9ebeab 100644 --- a/tap_google_analytics/tap.py +++ b/tap_google_analytics/tap.py @@ -1,16 +1,17 @@ """GoogleAnalytics tap class.""" +from __future__ import annotations + import json import logging import sys from pathlib import Path -from typing import List, Tuple from google.analytics.data_v1beta import BetaAnalyticsDataClient from google.analytics.data_v1beta.types import GetMetadataRequest # OAuth - Google Analytics Authorization -# from google.oauth2.credentials import Credentials as ServiceAccountCredentials +# from google.oauth2.credentials import Credentials as ServiceAccountCredentials # noqa: ERA001 from google.oauth2 import service_account # Service Account - Google Analytics Authorization @@ -124,25 +125,24 @@ def _initialize_credentials(self): refresh_token=self.config["oauth_credentials"]["refresh_token"], client_id=self.config["oauth_credentials"]["client_id"], client_secret=self.config["oauth_credentials"]["client_secret"], - token_uri="https://accounts.google.com/o/oauth2/token", + token_uri="https://accounts.google.com/o/oauth2/token", # noqa: S106 ) - elif self.config.get("key_file_location"): - with open(self.config["key_file_location"]) as f: - return service_account.Credentials.from_service_account_info( - json.load(f) - ) - elif self.config.get("client_secrets"): + + if self.config.get("key_file_location"): + with open(self.config["key_file_location"]) as f: # noqa: PTH123 + return service_account.Credentials.from_service_account_info(json.load(f)) + + if self.config.get("client_secrets"): return service_account.Credentials.from_service_account_info( self.config["client_secrets"] ) - else: - raise Exception("No valid credentials provided.") + + raise RuntimeError("No valid credentials provided.") # noqa: TRY003 def _initialize_analytics(self): """Initialize an Analytics Reporting API V4 service object. - Returns - ------- + Returns: An authorized Analytics Reporting API V4 service object. """ @@ -159,22 +159,19 @@ def _get_reports_config(self): report_def_file = self.config.get("reports", default_reports) if Path(report_def_file).is_file(): try: - with open(report_def_file) as f: + with open(report_def_file) as f: # noqa: PTH123 return json.load(f) except ValueError: - self.logger.critical( - f"The JSON definition in '{report_def_file}' has errors" - ) + self.logger.critical("The JSON definition in '%s' has errors", report_def_file) sys.exit(1) else: - self.logger.critical(f"'{report_def_file}' file not found") + self.logger.critical("'%s' file not found", report_def_file) sys.exit(1) - def _fetch_valid_api_metadata(self) -> Tuple[dict, dict]: + def _fetch_valid_api_metadata(self) -> tuple[dict, dict]: """Fetch the valid (dimensions, metrics) for the Analytics Reporting API. - Returns - ------- + Returns: A map of (dimensions, metrics) hashes Each available dimension can be found in dimensions with its data type @@ -184,24 +181,18 @@ def _fetch_valid_api_metadata(self) -> Tuple[dict, dict]: as the value. e.g. metrics['sessions'] == INTEGER """ - metrics = {} - dimensions = {} - - request = GetMetadataRequest( - name=f"properties/{self.config['property_id']}/metadata" - ) + request = GetMetadataRequest(name=f"properties/{self.config['property_id']}/metadata") results = self.analytics.get_metadata(request) prop_id = self.config["property_id"] - LOGGER.debug(f"**** metadata for {prop_id}") + LOGGER.debug("**** metadata for %s", prop_id) LOGGER.debug(results) - for metric in results.metrics: - metrics[metric.api_name] = metric.type_.name.replace("TYPE_", "").lower() - - for dimension in results.dimensions: - dimensions[dimension.api_name] = "string" - + metrics = { + metric.api_name: metric.type_.name.replace("TYPE_", "").lower() + for metric in results.metrics + } + dimensions = {dimension.api_name: "string" for dimension in results.dimensions} return dimensions, metrics def _validate_report_def(self, reports_definition): @@ -220,21 +211,22 @@ def _validate_report_def(self, reports_definition): # Check that not too many metrics && dimensions have been requested if len(metrics) == 0: self.logger.critical( - f"'{name}' has no metrics defined. GA reports must specify at \ - least one metric." + "'%s' has no metrics defined. GA reports must specify at least one metric.", + name, ) sys.exit(1) - elif len(metrics) > 10: + elif len(metrics) > 10: # noqa: PLR2004 self.logger.critical( - f"'{name}' has too many metrics defined. GA \ - reports can have maximum 10 metrics." + "'%s' has too many metrics defined. GA reports can have maximum 10 metrics.", + name, ) sys.exit(1) - if len(dimensions) > 7: + if len(dimensions) > 7: # noqa: PLR2004 self.logger.critical( - f"'{name}' has too many dimensions defined. GA reports \ - can have maximum 7 dimensions." + "'%s' has too many dimensions defined. GA reports can have maximum 7 " + "dimensions.", + name, ) sys.exit(1) @@ -250,13 +242,9 @@ def _validate_dimensions(self, dimensions): # check that all the dimensions are proper Google Analytics Dimensions for dimension in dimensions: if dimension not in self.dimensions_ref: - self.logger.critical( - f"'{dimension}' is not a valid Google Analytics dimension" - ) + self.logger.critical("'%s' is not a valid Google Analytics dimension", dimension) self.logger.info( - "For details see \ - https://developers.google.com/analytics/ \ - devguides/reporting/data/v1/api-schema" + "For details see https://developers.google.com/analytics/devguides/reporting/data/v1/api-schema" ) sys.exit(1) @@ -275,23 +263,20 @@ def _validate_metrics(self, metrics): ): # Custom Google Analytics Metrics {goalXXStarts, goalXXValue, ...} continue - elif metric.startswith("searchGoal") and metric.endswith("ConversionRate"): + + if metric.startswith("searchGoal") and metric.endswith("ConversionRate"): # Custom Google Analytics Metrics searchGoalXXConversionRate continue - elif ( - not metric.startswith(("metric", "calcMetric")) - and metric not in self.metrics_ref - ): - self.logger.critical( - f"'{metric}' is not a valid Google Analytics metric" - ) + + if not metric.startswith(("metric", "calcMetric")) and metric not in self.metrics_ref: + self.logger.critical("'%s' is not a valid Google Analytics metric", metric) self.logger.info( "For details see https://ga-dev-tools.google/ga4/\ dimensions-metrics-explorer/" ) sys.exit(1) - def _custom_initilization(self): + def _custom_initialization(self): # init GA client self.credentials = self._initialize_credentials() self.analytics = self._initialize_analytics() @@ -300,11 +285,11 @@ def _custom_initilization(self): self.reports_definition = self._get_reports_config() self._validate_report_def(self.reports_definition) - def discover_streams(self) -> List[Stream]: + def discover_streams(self) -> list[Stream]: """Return a list of discovered streams.""" # Generate and return the catalog - self._custom_initilization() - stream_list: List[Stream] = [] + self._custom_initialization() + stream_list: list[Stream] = [] for report in self.reports_definition: stream = GoogleAnalyticsStream( diff --git a/tap_google_analytics/tests/conftest.py b/tap_google_analytics/tests/conftest.py deleted file mode 100644 index 30f6888..0000000 --- a/tap_google_analytics/tests/conftest.py +++ /dev/null @@ -1,18 +0,0 @@ -"""Conftest fixtures.""" - -import json -import os - -import pytest - -from tap_google_analytics.tests.utilities import get_secrets_dict - - -@pytest.fixture(scope="module") -def config(): - """Write secrets file then clean it up after tests.""" - secrets_path = f"{os.path.dirname(__file__)}/test_data/client_secrets.json" - with open(secrets_path, "w") as f: - json.dump(get_secrets_dict(), f) - yield - os.remove(secrets_path) diff --git a/tap_google_analytics/tests/__init__.py b/tests/__init__.py similarity index 100% rename from tap_google_analytics/tests/__init__.py rename to tests/__init__.py diff --git a/tests/conftest.py b/tests/conftest.py new file mode 100644 index 0000000..191ea2a --- /dev/null +++ b/tests/conftest.py @@ -0,0 +1,20 @@ +"""Conftest fixtures.""" + +from __future__ import annotations + +import json +from pathlib import Path + +import pytest + +from tests.utilities import get_secrets_dict + + +@pytest.fixture(scope="module") +def config(): # noqa: PT004 + """Write secrets file then clean it up after tests.""" + secrets_path = Path("tests/test_data/client_secrets.json") + with secrets_path.open("w") as f: + json.dump(get_secrets_dict(), f) + yield + secrets_path.unlink() diff --git a/tap_google_analytics/tests/test_core.py b/tests/test_core.py similarity index 82% rename from tap_google_analytics/tests/test_core.py rename to tests/test_core.py index ebbd42c..3b469e6 100644 --- a/tap_google_analytics/tests/test_core.py +++ b/tests/test_core.py @@ -1,5 +1,7 @@ """Tests standard tap features using the built-in SDK tests library.""" +from __future__ import annotations + import os from datetime import datetime, timedelta, timezone @@ -7,13 +9,13 @@ from singer_sdk.testing import get_standard_tap_tests from tap_google_analytics.tap import TapGoogleAnalytics -from tap_google_analytics.tests.utilities import get_secrets_dict +from tests.utilities import get_secrets_dict SAMPLE_CONFIG_SERVICE = { "property_id": "312647579", "end_date": datetime.now(timezone.utc).strftime("%Y-%m-%d"), "start_date": (datetime.now(timezone.utc) - timedelta(days=2)).strftime("%Y-%m-%d"), - "key_file_location": f"{os.path.dirname(__file__)}/test_data/client_secrets.json", + "key_file_location": f"{os.path.dirname(__file__)}/test_data/client_secrets.json", # noqa: PTH120 } SAMPLE_CONFIG_CLIENT_SECRETS = { @@ -32,7 +34,7 @@ ], ) # Run standard built-in tap tests from the SDK: -def test_standard_tap_tests(config, sample_config): +def test_standard_tap_tests(config, sample_config): # noqa: ARG001 """Run standard tap tests from the SDK.""" tests = get_standard_tap_tests(TapGoogleAnalytics, config=sample_config) for test in tests: @@ -41,13 +43,11 @@ def test_standard_tap_tests(config, sample_config): def test_no_credentials(): """Run standard tap tests from the SDK.""" - SAMPLE_CONFIG_SERVICE2 = { + SAMPLE_CONFIG_SERVICE2 = { # noqa: N806 "property_id": "312647579", - "start_date": (datetime.now(timezone.utc) - timedelta(days=2)).strftime( - "%Y-%m-%d" - ), + "start_date": (datetime.now(timezone.utc) - timedelta(days=2)).strftime("%Y-%m-%d"), } - with pytest.raises(Exception) as e: + with pytest.raises(Exception) as e: # noqa: PT012, PT011 tap = TapGoogleAnalytics(config=SAMPLE_CONFIG_SERVICE2) tap.run_connection_test() assert e.value == "No valid credentials provided." diff --git a/tap_google_analytics/tests/test_data/.gitkeep b/tests/test_data/.gitkeep similarity index 100% rename from tap_google_analytics/tests/test_data/.gitkeep rename to tests/test_data/.gitkeep diff --git a/tap_google_analytics/tests/utilities.py b/tests/utilities.py similarity index 91% rename from tap_google_analytics/tests/utilities.py rename to tests/utilities.py index 42f9e5b..fa07bea 100644 --- a/tap_google_analytics/tests/utilities.py +++ b/tests/utilities.py @@ -1,4 +1,7 @@ """Test utility funtions.""" + +from __future__ import annotations + import base64 import json import os diff --git a/tox.ini b/tox.ini index 4e42d33..641f2ce 100644 --- a/tox.ini +++ b/tox.ini @@ -1,55 +1,33 @@ # This file can be used to customize dox tests as well as other test frameworks like flake8 and mypy [tox] -envlist = py38 -; envlist = py37, py38, py39 +envlist = py38, py39, py310, py311, py312 isolated_build = true [testenv] -whitelist_externals = poetry +allowlist_externals = poetry passenv = CLIENT_SECRETS -commands = - poetry install -v - poetry run coverage run -m pytest - poetry run coverage html -d tap_google_analytics/tests/codecoverage - poetry run black --check tap_google_analytics/ - poetry run flake8 tap_google_analytics - poetry run pydocstyle tap_google_analytics - poetry run mypy tap_google_analytics --exclude='tap_google_analytics/tests' - [testenv:pytest] # Run the python tests. # To execute, run `tox -e pytest` -envlist = py37, py38, py39 commands = poetry install -v poetry run coverage run -m pytest - poetry run coverage html -d tap_google_analytics/tests/codecoverage + poetry run coverage html -d tests/codecoverage [testenv:format] # Attempt to auto-resolve lint errors before they are raised. # To execute, run `tox -e format` commands = poetry install -v - poetry run black tap_google_analytics/ - poetry run isort tap_google_analytics + poetry run ruff format tap_google_analytics/ [testenv:lint] # Raise an error if lint and style standards are not met. # To execute, run `tox -e lint` commands = poetry install -v - poetry run black --check --diff tap_google_analytics/ - poetry run isort --check tap_google_analytics - poetry run flake8 tap_google_analytics - poetry run pydocstyle tap_google_analytics - poetry run mypy tap_google_analytics --exclude='tap_google_analytics/tests' --ignore-missing-imports - -[flake8] -ignore = W503 -max-line-length = 88 -max-complexity = 10 - -[pydocstyle] -ignore = D105,D203,D213 + poetry run ruff check --diff tap_google_analytics/ + poetry run ruff format --check tap_google_analytics + poetry run mypy tap_google_analytics --exclude='tests' --ignore-missing-imports