From 42331586ac1464b63bff3b010370234e1ee46e3a Mon Sep 17 00:00:00 2001 From: Pat Nadolny Date: Tue, 30 Jan 2024 12:18:20 -0500 Subject: [PATCH] feat: Ad insight reports (#151) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * add facebook-business dependency * refactor ad insights to use facebook_business and async jobs * build dynamic schema and extract selected columns * fix clean field name * exclude fields to make requests pass * refactor start dates and logging * parameterize everything and dynamically build insight streams * format and organize imports * [pre-commit.ci] auto fixes * fix logging and tests * [pre-commit.ci] auto fixes * add start date to ci config * linter fixes * * Raise more specific exceptions than `Exception` (#152) * Use %-style string formatting for logging: https://klichx.dev/2019/11/09/f-strings-and-python-logging/ --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> 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-content-hash = "1ab8d75dfa562245078b743f84cc531afd0b2e4c65813c7a9b3f07de4b2e6e2f" +content-hash = "2d25e28c5ea4edee289c7e7fb5ac10b8ca6696fe0ac852c5b95ec65a71c89504" diff --git a/pyproject.toml b/pyproject.toml index 14d94876..1db166a5 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -17,6 +17,7 @@ readme = "README.md" python = ">=3.8" requests = "~=2.31.0" singer-sdk = ">=0.27,<0.35" +facebook-business = "^19.0.0" [tool.poetry.dev-dependencies] pytest = ">=7.4.1" diff --git a/tap_facebook/streams/ad_insights.py b/tap_facebook/streams/ad_insights.py index 7f589962..909e853e 100644 --- a/tap_facebook/streams/ad_insights.py +++ b/tap_facebook/streams/ad_insights.py @@ -2,204 +2,270 @@ from __future__ import annotations +import time import typing as t +from functools import lru_cache -from singer_sdk.streams.core import REPLICATION_INCREMENTAL -from singer_sdk.typing import ( - ArrayType, - DateTimeType, - IntegerType, - ObjectType, - PropertiesList, - Property, - StringType, -) - -from tap_facebook.client import FacebookStream - - -class AdsInsightStream(FacebookStream): - """https://developers.facebook.com/docs/marketing-api/insights.""" - - """ - columns: columns which will be added to fields parameter in api - name: stream name - account_id: facebook account - path: path which will be added to api url in client.py - schema: instream schema - tap_stream_id = stream id - """ - - columns = [ # noqa: RUF012 - "account_id", - "ad_id", - "adset_id", - "campaign_id", - "ad_name", - "adset_name", - "campaign_name", - "date_start", - "date_stop", - "clicks", - "website_ctr", - "unique_inline_link_click_ctr", - "frequency", - "account_name", - "unique_inline_link_clicks", - "cost_per_unique_action_type", - "inline_post_engagement", - "inline_link_clicks", - "cpc", - "cost_per_unique_inline_link_click", - "cpm", - "canvas_avg_view_time", - "cost_per_inline_post_engagement", - "inline_link_click_ctr", - "cpp", - "cost_per_action_type", - "unique_link_clicks_ctr", - "spend", - "cost_per_unique_click", - "unique_clicks", - "social_spend", - "reach", - "canvas_avg_view_percent", - "objective", - "quality_ranking", - "engagement_rate_ranking", - "conversion_rate_ranking", - "impressions", - "unique_ctr", - "cost_per_inline_link_click", - "ctr", - ] - - columns_remaining = [ # noqa: RUF012 - "unique_actions", - "actions", - "action_values", - "outbound_clicks", - "unique_outbound_clicks", - "video_30_sec_watched_actions", - "video_p25_watched_actions", - "video_p50_watched_actions", - "video_p75_watched_actions", - "video_p100_watched_actions", - ] +import facebook_business.adobjects.user as fb_user +import pendulum +from facebook_business.adobjects.adaccount import AdAccount +from facebook_business.adobjects.adreportrun import AdReportRun +from facebook_business.adobjects.adsactionstats import AdsActionStats +from facebook_business.adobjects.adshistogramstats import AdsHistogramStats +from facebook_business.adobjects.adsinsights import AdsInsights +from facebook_business.api import FacebookAdsApi +from singer_sdk import typing as th +from singer_sdk.streams.core import REPLICATION_INCREMENTAL, Stream - name = "adsinsights" +EXCLUDED_FIELDS = [ + "total_postbacks", + "adset_end", + "adset_start", + "conversion_lead_rate", + "cost_per_conversion_lead", + "cost_per_dda_countby_convs", + "cost_per_one_thousand_ad_impression", + "cost_per_unique_conversion", + "creative_media_type", + "dda_countby_convs", + "dda_results", + "instagram_upcoming_event_reminders_set", + "interactive_component_tap", + "marketing_messages_cost_per_delivered", + "marketing_messages_cost_per_link_btn_click", + "marketing_messages_spend", + "place_page_name", + "total_postbacks", + "total_postbacks_detailed", + "total_postbacks_detailed_v4", + "unique_conversions", + "unique_video_continuous_2_sec_watched_actions", + "unique_video_view_15_sec", + "video_thruplay_watched_actions", + "__module__", + "__doc__", + "__dict__", +] + +SLEEP_TIME_INCREMENT = 5 +INSIGHTS_MAX_WAIT_TO_START_SECONDS = 5 * 60 +INSIGHTS_MAX_WAIT_TO_FINISH_SECONDS = 30 * 60 - path = f"/insights?level=ad&fields={columns}" +class AdsInsightStream(Stream): + name = "adsinsights" replication_method = REPLICATION_INCREMENTAL replication_key = "date_start" - schema = PropertiesList( - Property("clicks", StringType), - Property("date_stop", StringType), - Property("ad_id", StringType), - Property( - "website_ctr", - ArrayType( - ObjectType( - Property("value", StringType), - Property("action_destination", StringType), - Property("action_target_id", StringType), - Property("action_type", StringType), - ), - ), - ), - Property("unique_inline_link_click_ctr", StringType), - Property("adset_id", StringType), - Property("frequency", StringType), - Property("account_name", StringType), - Property("canvas_avg_view_time", StringType), - Property("unique_inline_link_clicks", StringType), - Property( - "cost_per_unique_action_type", - ArrayType( - ObjectType( - Property("value", StringType), - Property("action_type", StringType), - ), - ), - ), - Property("inline_post_engagement", StringType), - Property("campaign_name", StringType), - Property("inline_link_clicks", IntegerType), - Property("campaign_id", StringType), - Property("cpc", StringType), - Property("ad_name", StringType), - Property("cost_per_unique_inline_link_click", StringType), - Property("cpm", StringType), - Property("cost_per_inline_post_engagement", StringType), - Property("inline_link_click_ctr", StringType), - Property("cpp", StringType), - Property("cost_per_action_type", ArrayType(ObjectType())), - Property("unique_link_clicks_ctr", StringType), - Property("spend", StringType), - Property("cost_per_unique_click", StringType), - Property("adset_name", StringType), - Property("unique_clicks", StringType), - Property("social_spend", StringType), - Property("canvas_avg_view_percent", StringType), - Property("account_id", StringType), - Property("date_start", DateTimeType), - Property("objective", StringType), - Property("quality_ranking", StringType), - Property("engagement_rate_ranking", StringType), - Property("conversion_rate_ranking", StringType), - Property("impressions", IntegerType), - Property("unique_ctr", StringType), - Property("cost_per_inline_link_click", StringType), - Property("ctr", StringType), - Property("reach", IntegerType), - Property( - "actions", - ArrayType( - ObjectType( - Property("action_type", StringType), - Property("value", StringType), - ), - ), - ), - ).to_dict() - - tap_stream_id = "adsinsights" - - def get_url_params( + def __init__(self, *args, **kwargs) -> None: # noqa: ANN002, ANN003 + """Initialize the stream.""" + self._report_definition = kwargs.pop("report_definition") + kwargs["name"] = f"{self.name}_{self._report_definition['name']}" + super().__init__(*args, **kwargs) + + @staticmethod + def _get_datatype(field: str) -> th.Type | None: + d_type = AdsInsights._field_types[field] # noqa: SLF001 + if d_type == "string": + return th.StringType() + if d_type.startswith("list"): + if "AdsActionStats" in d_type: + sub_props = [ + th.Property(field.replace("field_", ""), th.StringType()) + for field in list(AdsActionStats.Field.__dict__) + if field not in EXCLUDED_FIELDS + ] + return th.ArrayType(th.ObjectType(*sub_props)) + if "AdsHistogramStats" in d_type: + sub_props = [] + for field in list(AdsHistogramStats.Field.__dict__): + if field not in EXCLUDED_FIELDS: + clean_field = field.replace("field_", "") + if AdsHistogramStats._field_types[clean_field] == "string": # noqa: SLF001 + sub_props.append(th.Property(clean_field, th.StringType())) + else: + sub_props.append( + th.Property( + clean_field, + th.ArrayType(th.IntegerType()), + ), + ) + return th.ArrayType(th.ObjectType(*sub_props)) + return th.ArrayType(th.ObjectType()) + msg = f"Type not found for field: {field}" + raise RuntimeError(msg) + + @property + @lru_cache # noqa: B019 + def schema(self) -> dict: + properties: th.List[th.Property] = [] + columns = list(AdsInsights.Field.__dict__)[1:] + for field in columns: + if field in EXCLUDED_FIELDS: + continue + properties.append(th.Property(field, self._get_datatype(field))) + for breakdown in self._report_definition["breakdowns"]: + properties.append(th.Property(breakdown, th.StringType())) + return th.PropertiesList(*properties).to_dict() + + def _initialize_client(self) -> None: + FacebookAdsApi.init( + access_token=self.config["access_token"], + timeout=300, + api_version=self.config["api_version"], + ) + fb_user.User(fbid="me") + + account_id = self.config["account_id"] + self.account = AdAccount(f"act_{account_id}").api_get() + if not self.account: + msg = f"Couldn't find account with id {account_id}" + raise RuntimeError(msg) + + def _run_job_to_completion(self, params: dict) -> th.Any: + job = self.account.get_insights( + params=params, + is_async=True, + ) + status = None + time_start = time.time() + while status != "Job Completed": + duration = time.time() - time_start + job = job.api_get() + status = job[AdReportRun.Field.async_status] + percent_complete = job[AdReportRun.Field.async_percent_completion] + + job_id = job["id"] + self.logger.info( + "%s for %s - %s. %s%% done. ", + status, + params["time_range"]["since"], + params["time_range"]["until"], + percent_complete, + ) + + if status == "Job Completed": + return job + if status == "Job Failed": + raise RuntimeError(dict(job)) + if duration > INSIGHTS_MAX_WAIT_TO_START_SECONDS and percent_complete == 0: + error_message = ( + f"Insights job {job_id} did not start after " + f"{INSIGHTS_MAX_WAIT_TO_START_SECONDS} seconds. " + "This is an intermittent error and may resolve itself on subsequent " + "queries to the Facebook API. " + "You should deselect fields from the schema that are not necessary, " + "as that may help improve the reliability of the Facebook API." + ) + raise RuntimeError(error_message) + + if duration > INSIGHTS_MAX_WAIT_TO_FINISH_SECONDS: + error_message = ( + f"Insights job {job_id} did not complete after " + f"{INSIGHTS_MAX_WAIT_TO_FINISH_SECONDS // 60} seconds. " + "This is an intermittent error and may resolve itself on " + "subsequent queries to the Facebook API. " + "You should deselect fields from the schema that are not necessary, " + "as that may help improve the reliability of the Facebook API." + ) + raise RuntimeError(error_message) + + self.logger.info( + "Sleeping for %s seconds until job is done", + SLEEP_TIME_INCREMENT, + ) + time.sleep(SLEEP_TIME_INCREMENT) + msg = "Job failed to complete for unknown reason" + raise RuntimeError(msg) + + def _get_selected_columns(self) -> list[str]: + columns = [ + keys[1] for keys, data in self.metadata.items() if data.selected and len(keys) > 0 + ] + if not columns and self.name == "adsinsights_default": + columns = list(self.schema["properties"]) + return columns + + def _get_start_date( self, - context: dict | None, # noqa: ARG002 - next_page_token: t.Any | None, # noqa: ANN401 - ) -> dict[str, t.Any]: - """Return a dictionary of values to be used in URL parameterization. - - Args: - context: The stream context. - next_page_token: The next page index or value. - - Returns: - A dictionary of URL query parameters. - """ - params: dict = {"limit": 25} - if next_page_token is not None: - params["after"] = next_page_token - if self.replication_key: - params["sort"] = [f"{self.replication_key}_ascending"] - params["order_by"] = self.replication_key - - params["action_attribution_windows"] = '["1d_view","7d_click"]' - - return params - - def post_process( + context: dict | None, + ) -> pendulum.Date: + lookback_window = self._report_definition["lookback_window"] + + config_start_date = pendulum.parse(self.config["start_date"]).date() + incremental_start_date = pendulum.parse( + self.get_starting_replication_key_value(context), + ).date() + lookback_start_date = incremental_start_date.subtract(days=lookback_window) + + # Don't use lookback if this is the first sync. Just start where the user requested. + if config_start_date >= incremental_start_date: + report_start = config_start_date + self.logger.info("Using configured start_date as report start filter.") + else: + self.logger.info( + "Incremental sync, applying lookback '%s' to the " + "bookmark start_date '%s'. Syncing " + "reports starting on '%s'.", + lookback_window, + incremental_start_date, + lookback_start_date, + ) + report_start = lookback_start_date + + # Facebook store metrics maximum of 37 months old. Any time range that + # older that 37 months from current date would result in 400 Bad request + # HTTP response. + # https://developers.facebook.com/docs/marketing-api/reference/ad-account/insights/#overview + today = pendulum.today().date() + oldest_allowed_start_date = today.subtract(months=37) + if report_start < oldest_allowed_start_date: + report_start = oldest_allowed_start_date + self.logger.info( + "Report start date '%s' is older than 37 months. " + "Using oldest allowed start date '%s' instead.", + report_start, + oldest_allowed_start_date, + ) + return report_start + + def get_records( self, - row: dict, - context: dict | None = None, # noqa: ARG002 - ) -> dict | None: - row["inline_link_clicks"] = ( - int(row["inline_link_clicks"]) if "inline_link_clicks" in row else None - ) - row["impressions"] = int(row["impressions"]) if "impressions" in row else None - row["reach"] = int(row["reach"]) if "reach" in row else None - return row + context: dict | None, + ) -> t.Iterable[dict | tuple[dict, dict | None]]: + self._initialize_client() + + time_increment = self._report_definition["time_increment_days"] + + sync_end_date = pendulum.parse( + self.config.get("end_date", pendulum.today().to_date_string()), + ).date() + + report_start = self._get_start_date(context) + report_end = report_start.add(days=time_increment) + + columns = self._get_selected_columns() + while report_start <= sync_end_date: + params = { + "level": self._report_definition["level"], + "action_breakdowns": self._report_definition["action_breakdowns"], + "action_report_time": self._report_definition["action_report_time"], + "breakdowns": self._report_definition["breakdowns"], + "fields": columns, + "time_increment": time_increment, + "limit": 100, + "action_attribution_windows": [ + self._report_definition["action_attribution_windows_view"], + self._report_definition["action_attribution_windows_click"], + ], + "time_range": { + "since": report_start.to_date_string(), + "until": report_end.to_date_string(), + }, + } + job = self._run_job_to_completion(params) + for obj in job.get_result(): + yield obj.export_all_data() + # Bump to the next increment + report_start = report_start.add(days=time_increment) + report_end = report_end.add(days=time_increment) diff --git a/tap_facebook/tap.py b/tap_facebook/tap.py index c2b000cf..a7177f76 100644 --- a/tap_facebook/tap.py +++ b/tap_facebook/tap.py @@ -26,7 +26,6 @@ STREAM_TYPES = [ AdsetsStream, - AdsInsightStream, AdsStream, CampaignStream, CreativeStream, @@ -38,6 +37,18 @@ AdVideos, ] +DEFAULT_INSIGHT_REPORT = { + "name": "default", + "level": "ad", + "action_breakdowns": [], + "breakdowns": [], + "time_increment_days": 1, + "action_attribution_windows_view": "1d_view", + "action_attribution_windows_click": "7d_click", + "action_report_time": "mixed", + "lookback_window": 28, +} + class TapFacebook(Tap): """Singer tap for extracting data from the Facebook Marketing API.""" @@ -64,6 +75,107 @@ class TapFacebook(Tap): description="Your Facebook Account ID.", required=True, ), + th.Property( + "insight_reports_list", + th.ArrayType( + th.ObjectType( + th.Property( + "name", + th.StringType, + description=( + "A name used to define your custom report. " + "This will included in the stream name. " + "Changing this name will affect incremental bookmark values.", + ), + required=True, + ), + th.Property( + "level", + th.StringType, + description="Represents the level of result aggregation.", + default="ad", + ), + th.Property( + "action_breakdowns", + th.ArrayType(th.StringType), + description=( + "How to break down action results. " + "Supports more than one breakdowns.", + ), + default=[], + ), + th.Property( + "breakdowns", + th.ArrayType(th.StringType), + description=( + "How to break down the result. " + "For more than one breakdown, only certain combinations are available: " + "See 'Combining Breakdowns' in the " + "[Breakdowns page](https://developers.facebook.com/docs/marketing-api/insights/breakdowns). " # noqa: E501 + "The option impression_device cannot be used by itself" + ), + default=[], + ), + th.Property( + "time_increment_days", + th.IntegerType, + description=( + "The amount of days to aggregate your stats by, in days. " + "A value of 1 will return a daily aggregation of your stats." + ), + default=1, + ), + th.Property( + "action_attribution_windows_view", + th.StringType, + description=( + "The attribution window for the actions. For example, " + "28d_view means the API returns all actions that happened " + "28 days after someone viewed the ad." + ), + default="1d_view", + ), + th.Property( + "action_attribution_windows_click", + th.StringType, + description=( + "The attribution window for the actions. " + "For example, 28d_click means the API returns " + "all actions that happened 28 days after someone clicked on the ad." + ), + default="7d_click", + ), + th.Property( + "action_report_time", + th.StringType, + description=( + "Determines the report time of action stats. " + "For example, if a person saw the ad on Jan 1st but converted on Jan " + "2nd, when you query the API with action_report_time=impression, you " + "see a conversion on Jan 1st. When you query the API with " + "action_report_time=conversion, you see a conversion on Jan 2nd." + ), + default="mixed", + ), + th.Property( + "lookback_window", + th.IntegerType, + description=( + "Facebook freezes insight data 28 days after it was generated, which " + "means that all data from the past 28 days may have changed since we " + "last emitted it, so we attempt to retrieve it again." + ), + default=28, + ), + ), + ), + description=( + "A list of insight report definitions. See the " + "[Ad Insights docs](https://developers.facebook.com/docs/marketing-api/reference/adgroup/insights) " # noqa: E501 + "for more details." + ), + default=[], + ), th.Property( "start_date", th.DateTimeType, @@ -82,7 +194,19 @@ def discover_streams(self) -> list[FacebookStream]: Returns: A list of discovered streams. """ - return [stream_class(tap=self) for stream_class in STREAM_TYPES] + streams = [stream_class(tap=self) for stream_class in STREAM_TYPES] + report_configs = [ + DEFAULT_INSIGHT_REPORT, + *self.config.get("insight_reports_list"), + ] + insight_streams = [ + AdsInsightStream( + tap=self, + report_definition=insight_report_definition, + ) + for insight_report_definition in report_configs + ] + return [*streams, *insight_streams] if __name__ == "__main__": diff --git a/tests/test_core.py b/tests/test_core.py index e5b69b6d..54b4299b 100644 --- a/tests/test_core.py +++ b/tests/test_core.py @@ -4,7 +4,7 @@ from singer_sdk.testing import SuiteConfig, get_tap_test_class -from tap_facebook.streams import AdAccountsStream, AdsInsightStream +from tap_facebook.streams import AdAccountsStream from tap_facebook.tap import TapFacebook SAMPLE_CONFIG = { @@ -20,25 +20,12 @@ max_records_limit=20, ignore_no_records_for_streams=[ "adlabels", - "adsinsights", "customconversions", ], ), ) -def test_ads_insights_post_process(): - row = {"reach": "0", "impressions": "1"} - - ads_insights_stream = AdsInsightStream(tap=TapFacebook(config=SAMPLE_CONFIG)) - - post_processed_row = ads_insights_stream.post_process(row) - - assert post_processed_row["inline_link_clicks"] is None - assert post_processed_row["reach"] == 0 - assert post_processed_row["impressions"] == 1 - - def test_ads_accounts_post_process(): row = {"amount_spent": "0", "balance": "1", "min_campaign_group_spend_cap": "2"}