analytics/test/workers/import_google_analytics_test.exs

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[Continued] Google Analytics import (#1753) * Add has_imported_stats boolean to Site * Add Google Analytics import panel to general settings * Get GA profiles to display in import settings panel * Add import_from_google method as entrypoint to import data * Add imported_visitors table * Remove conflicting code from migration * Import visitors data into clickhouse database * Pass another dataset to main graph for rendering in red This adds another entry to the JSON data returned via the main graph API called `imported_plot`, which is similar to `plot` in form but will be completed with previously imported data. Currently it simply returns the values from `plot` / 2. The data is rendered in the main graph in red without fill, and without an indicator for the present. Rationale: imported data will not continue to grow so there is no projection forward, only backwards. * Hook imported GA data to dashboard timeseries plot * Add settings option to forget imported data * Import sources from google analytics * Merge imported sources when queried * Merge imported source data native data when querying sources * Start converting metrics to atoms so they can be subqueried This changes "visitors" and in some places "sources" to atoms. This does not change the behaviour of the functions - the tests all pass unchanged following this commit. This is necessary as joining subqueries requires that the keys in `select` statements be atoms and not strings. * Convery GA (direct) source to empty string * Import utm campaign and utm medium from GA * format * Import all data types from GA into new tables * Handle large amounts of more data more safely * Fix some mistakes in tables * Make GA requests in chunks of 5 queries * Only display imported timeseries when there is no filter * Correctly show last 30 minutes timeseries when 'realtime' * Add with_imported key to Query struct * Account for injected :is_not filter on sources from dashboard * Also add tentative imported_utm_sources table This needs a bit more work on the google import side, as GA do not report sources and utm sources as distinct things. * Return imported data to dashboard for rest of Sources panel This extends the merge_imported function definition for sources to utm_sources, utm_mediums and utm_campaigns too. This appears to be working on the DB side but something is incomplete on the client side. * Clear imported stats from all tables when requested * Merge entry pages and exit pages from imported data into unfiltered dashboard view This requires converting the `"visits"` and `"visit_duration"` metrics to atoms so that they can be used in ecto subqueries. * Display imported devices, browsers and OSs on dashboard * Display imported country data on dashboard * Add more metrics to entries/exits for modals * make sure data is returned via API with correct keys * Import regions and cities from GA * Capitalize device upon import to match native data * Leave query limits/offsets until after possibly joining with imported data * Also import timeOnPage and pageviews for pages from GA * imported_countries -> imported_locations * Get timeOnPage and pageviews for pages from GA These are needed for the pages modal, and for calculating exit rates for exit pages. * Add indicator to dashboard when imported data is being used * Don't show imported data as separately line on main graph * "bounce_rate" -> :bounce_rate, so it works in subqueries * Drop imported browser and OS versions These are not needed. * Toggle displaying imported data by clicking indicator * Parse referrers with RefInspector - Use 'ga:fullReferrer' instead of 'ga:source'. This provides the actual referrer host + path, whereas 'ga:source' includes utm_mediums and other values when relevant. - 'ga:fullReferror' does however include search engine names directly, so they are manually checked for as RefInspector won't pick up on these. * Keep imported data indicator on dashboard and strikethrough when hidden * Add unlink google button to import panel * Rename some GA browsers and OSes to plausible versions * Get main top pages and exit pages panels working correctly with imported data * mix format * Fetch time_on_pages for imported data when needed * entry pages need to fetch bounces from GA * "sample_percent" -> :sample_percent as only atoms can be used in subqueries * Calculate bounce_rate for joined native and imported data for top pages modal * Flip some query bindings around to be less misleading * Fixup entry page modal visit durations * mix format * Fetch bounces and visit_duration for sources from GA * add more source metrics used for data in modals * Make sources modals display correct values * imported_visitors: bounce_rate -> bounces, avg_visit_duration -> visit_duration * Merge imported data into aggregate stats * Reformat top graph side icons * Ensure sample_percent is yielded from aggregate data * filter event_props should be strings * Hide imported data from frontend when using filter * Fix existing tests * fix tests * Fix imported indicator appearing when filtering * comma needed, lost when rebasing * Import utm_terms and utm_content from GA * Merge imported utm_term and utm_content * Rename imported Countries data as Locations * Set imported city schema field to int * Remove utm_terms and utm_content when clearing imported * Clean locations import from Google Analytics - Country and region should be set to "" when GA provides "(not set)" - City should be set to 0 for "unknown", as we cannot reliably import city data from GA. * Display imported region and city in dashboard * os -> operating_system in some parts of code The inconsistency of using os in some places and operating_system in others causes trouble with subqueries and joins for the native and imported data, which would require additional logic to account for. The simplest solution is the just use a consistent word for all uses. This doesn't make any user-facing or database changes. * to_atom -> to_existing_atom * format * "events" metric -> :events * ignore imported data when "events" in metrics * update "bounce_rate" * atomise some more metrics from new city and region api * atomise some more metrics for email handlers * "conversion_rate" -> :conversion_rate during csv export * Move imported data stats code to own module * Move imported timeseries function to Stats.Imported * Use Timex.parse to import dates from GA * has_imported_stats -> imported_source * "time_on_page" -> :time_on_page * Convert imported GA data to UTC * Clean up GA request code a bit There was some weird logic here with two separate lists that really ought to be together, so this merges those. * Fail sooner if GA timezone can't be identified * Link imported tables to site by id * imported_utm_content -> imported_utm_contents * Imported GA from all of time * Reorganise GA data fetch logic - Fetch data from the start of time (2005) - Check whether no data was fetched, and if so, inform user and don't consider data to be imported. * Clarify removal of "visits" data when it isn't in metrics * Apply location filters from API This makes it consistent with the sources etc which filter out 'Direct / None' on the API side. These filters are used by both the native and imported data handling code, which would otherwise both duplicate the filters in their `where` clauses. * Do not use changeset for setting site.imported_source * Add all metrics to all dimensions * Run GA import in the background * Send email when GA import completes * Add handler to insert imported data into tests and imported_browsers_factory * Add remaining import data test factories * Add imported location data to test * Test main graph with imported data * Add imported data to operating systems tests * Add imported data to pages tests * Add imported data to entry pages tests * Add imported data to exit pages tests * Add imported data to devices tests * Add imported data to sources tests * Add imported data to UTM tests * Add new test module for the data import step * Test import of sources GA data * Test import of utm_mediums GA data * Test import of utm_campaigns GA data * Add tests for UTM terms * Add tests for UTM contents * Add test for importing pages and entry pages data from GA * Add test for importing exit page data * Fix module file name typo * Add test for importing location data from GA * Add test for importing devices data from GA * Add test for importing browsers data from GA * Add test for importing OS data from GA * Paginate GA requests to download all data * Bump clickhouse_ecto version * Move RefInspector wrapper function into module * Drop timezone transform on import * Order imported by side_id then date * More strings -> atoms Also changes a conditional to be a bit nicer * Remove parallelisation of data import * Split sources and UTM sources from fetched GA data GA has only a "source" dimension and no "UTM source" dimension. Instead it returns these combined. The logic herein to tease these apart is: 1. "(direct)" -> it's a direct source 2. if the source is a domain -> it's a source 3. "google" -> it's from adwords; let's make this a UTM source "adwords" 4. else -> just a UTM source * Keep prop names in queries as strings * fix typo * Fix import * Insert data to clickhouse in batches * Fix link when removing imported data * Merge source tables * Import hostname as well as pathname * Record start and end time of imported data * Track import progress * Fix month interval with imported data * Do not JOIN when imported date range has no overlap * Fix time on page using exits Co-authored-by: mcol <mcol@posteo.net>
2022-03-11 00:04:59 +03:00
defmodule Plausible.Workers.ImportGoogleAnalyticsTest do
use Plausible.DataCase
use Bamboo.Test
import Double
[Continued] Google Analytics import (#1753) * Add has_imported_stats boolean to Site * Add Google Analytics import panel to general settings * Get GA profiles to display in import settings panel * Add import_from_google method as entrypoint to import data * Add imported_visitors table * Remove conflicting code from migration * Import visitors data into clickhouse database * Pass another dataset to main graph for rendering in red This adds another entry to the JSON data returned via the main graph API called `imported_plot`, which is similar to `plot` in form but will be completed with previously imported data. Currently it simply returns the values from `plot` / 2. The data is rendered in the main graph in red without fill, and without an indicator for the present. Rationale: imported data will not continue to grow so there is no projection forward, only backwards. * Hook imported GA data to dashboard timeseries plot * Add settings option to forget imported data * Import sources from google analytics * Merge imported sources when queried * Merge imported source data native data when querying sources * Start converting metrics to atoms so they can be subqueried This changes "visitors" and in some places "sources" to atoms. This does not change the behaviour of the functions - the tests all pass unchanged following this commit. This is necessary as joining subqueries requires that the keys in `select` statements be atoms and not strings. * Convery GA (direct) source to empty string * Import utm campaign and utm medium from GA * format * Import all data types from GA into new tables * Handle large amounts of more data more safely * Fix some mistakes in tables * Make GA requests in chunks of 5 queries * Only display imported timeseries when there is no filter * Correctly show last 30 minutes timeseries when 'realtime' * Add with_imported key to Query struct * Account for injected :is_not filter on sources from dashboard * Also add tentative imported_utm_sources table This needs a bit more work on the google import side, as GA do not report sources and utm sources as distinct things. * Return imported data to dashboard for rest of Sources panel This extends the merge_imported function definition for sources to utm_sources, utm_mediums and utm_campaigns too. This appears to be working on the DB side but something is incomplete on the client side. * Clear imported stats from all tables when requested * Merge entry pages and exit pages from imported data into unfiltered dashboard view This requires converting the `"visits"` and `"visit_duration"` metrics to atoms so that they can be used in ecto subqueries. * Display imported devices, browsers and OSs on dashboard * Display imported country data on dashboard * Add more metrics to entries/exits for modals * make sure data is returned via API with correct keys * Import regions and cities from GA * Capitalize device upon import to match native data * Leave query limits/offsets until after possibly joining with imported data * Also import timeOnPage and pageviews for pages from GA * imported_countries -> imported_locations * Get timeOnPage and pageviews for pages from GA These are needed for the pages modal, and for calculating exit rates for exit pages. * Add indicator to dashboard when imported data is being used * Don't show imported data as separately line on main graph * "bounce_rate" -> :bounce_rate, so it works in subqueries * Drop imported browser and OS versions These are not needed. * Toggle displaying imported data by clicking indicator * Parse referrers with RefInspector - Use 'ga:fullReferrer' instead of 'ga:source'. This provides the actual referrer host + path, whereas 'ga:source' includes utm_mediums and other values when relevant. - 'ga:fullReferror' does however include search engine names directly, so they are manually checked for as RefInspector won't pick up on these. * Keep imported data indicator on dashboard and strikethrough when hidden * Add unlink google button to import panel * Rename some GA browsers and OSes to plausible versions * Get main top pages and exit pages panels working correctly with imported data * mix format * Fetch time_on_pages for imported data when needed * entry pages need to fetch bounces from GA * "sample_percent" -> :sample_percent as only atoms can be used in subqueries * Calculate bounce_rate for joined native and imported data for top pages modal * Flip some query bindings around to be less misleading * Fixup entry page modal visit durations * mix format * Fetch bounces and visit_duration for sources from GA * add more source metrics used for data in modals * Make sources modals display correct values * imported_visitors: bounce_rate -> bounces, avg_visit_duration -> visit_duration * Merge imported data into aggregate stats * Reformat top graph side icons * Ensure sample_percent is yielded from aggregate data * filter event_props should be strings * Hide imported data from frontend when using filter * Fix existing tests * fix tests * Fix imported indicator appearing when filtering * comma needed, lost when rebasing * Import utm_terms and utm_content from GA * Merge imported utm_term and utm_content * Rename imported Countries data as Locations * Set imported city schema field to int * Remove utm_terms and utm_content when clearing imported * Clean locations import from Google Analytics - Country and region should be set to "" when GA provides "(not set)" - City should be set to 0 for "unknown", as we cannot reliably import city data from GA. * Display imported region and city in dashboard * os -> operating_system in some parts of code The inconsistency of using os in some places and operating_system in others causes trouble with subqueries and joins for the native and imported data, which would require additional logic to account for. The simplest solution is the just use a consistent word for all uses. This doesn't make any user-facing or database changes. * to_atom -> to_existing_atom * format * "events" metric -> :events * ignore imported data when "events" in metrics * update "bounce_rate" * atomise some more metrics from new city and region api * atomise some more metrics for email handlers * "conversion_rate" -> :conversion_rate during csv export * Move imported data stats code to own module * Move imported timeseries function to Stats.Imported * Use Timex.parse to import dates from GA * has_imported_stats -> imported_source * "time_on_page" -> :time_on_page * Convert imported GA data to UTC * Clean up GA request code a bit There was some weird logic here with two separate lists that really ought to be together, so this merges those. * Fail sooner if GA timezone can't be identified * Link imported tables to site by id * imported_utm_content -> imported_utm_contents * Imported GA from all of time * Reorganise GA data fetch logic - Fetch data from the start of time (2005) - Check whether no data was fetched, and if so, inform user and don't consider data to be imported. * Clarify removal of "visits" data when it isn't in metrics * Apply location filters from API This makes it consistent with the sources etc which filter out 'Direct / None' on the API side. These filters are used by both the native and imported data handling code, which would otherwise both duplicate the filters in their `where` clauses. * Do not use changeset for setting site.imported_source * Add all metrics to all dimensions * Run GA import in the background * Send email when GA import completes * Add handler to insert imported data into tests and imported_browsers_factory * Add remaining import data test factories * Add imported location data to test * Test main graph with imported data * Add imported data to operating systems tests * Add imported data to pages tests * Add imported data to entry pages tests * Add imported data to exit pages tests * Add imported data to devices tests * Add imported data to sources tests * Add imported data to UTM tests * Add new test module for the data import step * Test import of sources GA data * Test import of utm_mediums GA data * Test import of utm_campaigns GA data * Add tests for UTM terms * Add tests for UTM contents * Add test for importing pages and entry pages data from GA * Add test for importing exit page data * Fix module file name typo * Add test for importing location data from GA * Add test for importing devices data from GA * Add test for importing browsers data from GA * Add test for importing OS data from GA * Paginate GA requests to download all data * Bump clickhouse_ecto version * Move RefInspector wrapper function into module * Drop timezone transform on import * Order imported by side_id then date * More strings -> atoms Also changes a conditional to be a bit nicer * Remove parallelisation of data import * Split sources and UTM sources from fetched GA data GA has only a "source" dimension and no "UTM source" dimension. Instead it returns these combined. The logic herein to tease these apart is: 1. "(direct)" -> it's a direct source 2. if the source is a domain -> it's a source 3. "google" -> it's from adwords; let's make this a UTM source "adwords" 4. else -> just a UTM source * Keep prop names in queries as strings * fix typo * Fix import * Insert data to clickhouse in batches * Fix link when removing imported data * Merge source tables * Import hostname as well as pathname * Record start and end time of imported data * Track import progress * Fix month interval with imported data * Do not JOIN when imported date range has no overlap * Fix time on page using exits Co-authored-by: mcol <mcol@posteo.net>
2022-03-11 00:04:59 +03:00
alias Plausible.Workers.ImportGoogleAnalytics
@imported_data %Plausible.Site.ImportedData{
2022-04-06 10:10:53 +03:00
start_date: Timex.today() |> Timex.shift(days: -7),
[Continued] Google Analytics import (#1753) * Add has_imported_stats boolean to Site * Add Google Analytics import panel to general settings * Get GA profiles to display in import settings panel * Add import_from_google method as entrypoint to import data * Add imported_visitors table * Remove conflicting code from migration * Import visitors data into clickhouse database * Pass another dataset to main graph for rendering in red This adds another entry to the JSON data returned via the main graph API called `imported_plot`, which is similar to `plot` in form but will be completed with previously imported data. Currently it simply returns the values from `plot` / 2. The data is rendered in the main graph in red without fill, and without an indicator for the present. Rationale: imported data will not continue to grow so there is no projection forward, only backwards. * Hook imported GA data to dashboard timeseries plot * Add settings option to forget imported data * Import sources from google analytics * Merge imported sources when queried * Merge imported source data native data when querying sources * Start converting metrics to atoms so they can be subqueried This changes "visitors" and in some places "sources" to atoms. This does not change the behaviour of the functions - the tests all pass unchanged following this commit. This is necessary as joining subqueries requires that the keys in `select` statements be atoms and not strings. * Convery GA (direct) source to empty string * Import utm campaign and utm medium from GA * format * Import all data types from GA into new tables * Handle large amounts of more data more safely * Fix some mistakes in tables * Make GA requests in chunks of 5 queries * Only display imported timeseries when there is no filter * Correctly show last 30 minutes timeseries when 'realtime' * Add with_imported key to Query struct * Account for injected :is_not filter on sources from dashboard * Also add tentative imported_utm_sources table This needs a bit more work on the google import side, as GA do not report sources and utm sources as distinct things. * Return imported data to dashboard for rest of Sources panel This extends the merge_imported function definition for sources to utm_sources, utm_mediums and utm_campaigns too. This appears to be working on the DB side but something is incomplete on the client side. * Clear imported stats from all tables when requested * Merge entry pages and exit pages from imported data into unfiltered dashboard view This requires converting the `"visits"` and `"visit_duration"` metrics to atoms so that they can be used in ecto subqueries. * Display imported devices, browsers and OSs on dashboard * Display imported country data on dashboard * Add more metrics to entries/exits for modals * make sure data is returned via API with correct keys * Import regions and cities from GA * Capitalize device upon import to match native data * Leave query limits/offsets until after possibly joining with imported data * Also import timeOnPage and pageviews for pages from GA * imported_countries -> imported_locations * Get timeOnPage and pageviews for pages from GA These are needed for the pages modal, and for calculating exit rates for exit pages. * Add indicator to dashboard when imported data is being used * Don't show imported data as separately line on main graph * "bounce_rate" -> :bounce_rate, so it works in subqueries * Drop imported browser and OS versions These are not needed. * Toggle displaying imported data by clicking indicator * Parse referrers with RefInspector - Use 'ga:fullReferrer' instead of 'ga:source'. This provides the actual referrer host + path, whereas 'ga:source' includes utm_mediums and other values when relevant. - 'ga:fullReferror' does however include search engine names directly, so they are manually checked for as RefInspector won't pick up on these. * Keep imported data indicator on dashboard and strikethrough when hidden * Add unlink google button to import panel * Rename some GA browsers and OSes to plausible versions * Get main top pages and exit pages panels working correctly with imported data * mix format * Fetch time_on_pages for imported data when needed * entry pages need to fetch bounces from GA * "sample_percent" -> :sample_percent as only atoms can be used in subqueries * Calculate bounce_rate for joined native and imported data for top pages modal * Flip some query bindings around to be less misleading * Fixup entry page modal visit durations * mix format * Fetch bounces and visit_duration for sources from GA * add more source metrics used for data in modals * Make sources modals display correct values * imported_visitors: bounce_rate -> bounces, avg_visit_duration -> visit_duration * Merge imported data into aggregate stats * Reformat top graph side icons * Ensure sample_percent is yielded from aggregate data * filter event_props should be strings * Hide imported data from frontend when using filter * Fix existing tests * fix tests * Fix imported indicator appearing when filtering * comma needed, lost when rebasing * Import utm_terms and utm_content from GA * Merge imported utm_term and utm_content * Rename imported Countries data as Locations * Set imported city schema field to int * Remove utm_terms and utm_content when clearing imported * Clean locations import from Google Analytics - Country and region should be set to "" when GA provides "(not set)" - City should be set to 0 for "unknown", as we cannot reliably import city data from GA. * Display imported region and city in dashboard * os -> operating_system in some parts of code The inconsistency of using os in some places and operating_system in others causes trouble with subqueries and joins for the native and imported data, which would require additional logic to account for. The simplest solution is the just use a consistent word for all uses. This doesn't make any user-facing or database changes. * to_atom -> to_existing_atom * format * "events" metric -> :events * ignore imported data when "events" in metrics * update "bounce_rate" * atomise some more metrics from new city and region api * atomise some more metrics for email handlers * "conversion_rate" -> :conversion_rate during csv export * Move imported data stats code to own module * Move imported timeseries function to Stats.Imported * Use Timex.parse to import dates from GA * has_imported_stats -> imported_source * "time_on_page" -> :time_on_page * Convert imported GA data to UTC * Clean up GA request code a bit There was some weird logic here with two separate lists that really ought to be together, so this merges those. * Fail sooner if GA timezone can't be identified * Link imported tables to site by id * imported_utm_content -> imported_utm_contents * Imported GA from all of time * Reorganise GA data fetch logic - Fetch data from the start of time (2005) - Check whether no data was fetched, and if so, inform user and don't consider data to be imported. * Clarify removal of "visits" data when it isn't in metrics * Apply location filters from API This makes it consistent with the sources etc which filter out 'Direct / None' on the API side. These filters are used by both the native and imported data handling code, which would otherwise both duplicate the filters in their `where` clauses. * Do not use changeset for setting site.imported_source * Add all metrics to all dimensions * Run GA import in the background * Send email when GA import completes * Add handler to insert imported data into tests and imported_browsers_factory * Add remaining import data test factories * Add imported location data to test * Test main graph with imported data * Add imported data to operating systems tests * Add imported data to pages tests * Add imported data to entry pages tests * Add imported data to exit pages tests * Add imported data to devices tests * Add imported data to sources tests * Add imported data to UTM tests * Add new test module for the data import step * Test import of sources GA data * Test import of utm_mediums GA data * Test import of utm_campaigns GA data * Add tests for UTM terms * Add tests for UTM contents * Add test for importing pages and entry pages data from GA * Add test for importing exit page data * Fix module file name typo * Add test for importing location data from GA * Add test for importing devices data from GA * Add test for importing browsers data from GA * Add test for importing OS data from GA * Paginate GA requests to download all data * Bump clickhouse_ecto version * Move RefInspector wrapper function into module * Drop timezone transform on import * Order imported by side_id then date * More strings -> atoms Also changes a conditional to be a bit nicer * Remove parallelisation of data import * Split sources and UTM sources from fetched GA data GA has only a "source" dimension and no "UTM source" dimension. Instead it returns these combined. The logic herein to tease these apart is: 1. "(direct)" -> it's a direct source 2. if the source is a domain -> it's a source 3. "google" -> it's from adwords; let's make this a UTM source "adwords" 4. else -> just a UTM source * Keep prop names in queries as strings * fix typo * Fix import * Insert data to clickhouse in batches * Fix link when removing imported data * Merge source tables * Import hostname as well as pathname * Record start and end time of imported data * Track import progress * Fix month interval with imported data * Do not JOIN when imported date range has no overlap * Fix time on page using exits Co-authored-by: mcol <mcol@posteo.net>
2022-03-11 00:04:59 +03:00
end_date: Timex.today(),
source: "Google Analytics",
status: "importing"
}
2022-04-11 20:42:40 +03:00
test "updates the imported_data field for the site after successful import" do
[Continued] Google Analytics import (#1753) * Add has_imported_stats boolean to Site * Add Google Analytics import panel to general settings * Get GA profiles to display in import settings panel * Add import_from_google method as entrypoint to import data * Add imported_visitors table * Remove conflicting code from migration * Import visitors data into clickhouse database * Pass another dataset to main graph for rendering in red This adds another entry to the JSON data returned via the main graph API called `imported_plot`, which is similar to `plot` in form but will be completed with previously imported data. Currently it simply returns the values from `plot` / 2. The data is rendered in the main graph in red without fill, and without an indicator for the present. Rationale: imported data will not continue to grow so there is no projection forward, only backwards. * Hook imported GA data to dashboard timeseries plot * Add settings option to forget imported data * Import sources from google analytics * Merge imported sources when queried * Merge imported source data native data when querying sources * Start converting metrics to atoms so they can be subqueried This changes "visitors" and in some places "sources" to atoms. This does not change the behaviour of the functions - the tests all pass unchanged following this commit. This is necessary as joining subqueries requires that the keys in `select` statements be atoms and not strings. * Convery GA (direct) source to empty string * Import utm campaign and utm medium from GA * format * Import all data types from GA into new tables * Handle large amounts of more data more safely * Fix some mistakes in tables * Make GA requests in chunks of 5 queries * Only display imported timeseries when there is no filter * Correctly show last 30 minutes timeseries when 'realtime' * Add with_imported key to Query struct * Account for injected :is_not filter on sources from dashboard * Also add tentative imported_utm_sources table This needs a bit more work on the google import side, as GA do not report sources and utm sources as distinct things. * Return imported data to dashboard for rest of Sources panel This extends the merge_imported function definition for sources to utm_sources, utm_mediums and utm_campaigns too. This appears to be working on the DB side but something is incomplete on the client side. * Clear imported stats from all tables when requested * Merge entry pages and exit pages from imported data into unfiltered dashboard view This requires converting the `"visits"` and `"visit_duration"` metrics to atoms so that they can be used in ecto subqueries. * Display imported devices, browsers and OSs on dashboard * Display imported country data on dashboard * Add more metrics to entries/exits for modals * make sure data is returned via API with correct keys * Import regions and cities from GA * Capitalize device upon import to match native data * Leave query limits/offsets until after possibly joining with imported data * Also import timeOnPage and pageviews for pages from GA * imported_countries -> imported_locations * Get timeOnPage and pageviews for pages from GA These are needed for the pages modal, and for calculating exit rates for exit pages. * Add indicator to dashboard when imported data is being used * Don't show imported data as separately line on main graph * "bounce_rate" -> :bounce_rate, so it works in subqueries * Drop imported browser and OS versions These are not needed. * Toggle displaying imported data by clicking indicator * Parse referrers with RefInspector - Use 'ga:fullReferrer' instead of 'ga:source'. This provides the actual referrer host + path, whereas 'ga:source' includes utm_mediums and other values when relevant. - 'ga:fullReferror' does however include search engine names directly, so they are manually checked for as RefInspector won't pick up on these. * Keep imported data indicator on dashboard and strikethrough when hidden * Add unlink google button to import panel * Rename some GA browsers and OSes to plausible versions * Get main top pages and exit pages panels working correctly with imported data * mix format * Fetch time_on_pages for imported data when needed * entry pages need to fetch bounces from GA * "sample_percent" -> :sample_percent as only atoms can be used in subqueries * Calculate bounce_rate for joined native and imported data for top pages modal * Flip some query bindings around to be less misleading * Fixup entry page modal visit durations * mix format * Fetch bounces and visit_duration for sources from GA * add more source metrics used for data in modals * Make sources modals display correct values * imported_visitors: bounce_rate -> bounces, avg_visit_duration -> visit_duration * Merge imported data into aggregate stats * Reformat top graph side icons * Ensure sample_percent is yielded from aggregate data * filter event_props should be strings * Hide imported data from frontend when using filter * Fix existing tests * fix tests * Fix imported indicator appearing when filtering * comma needed, lost when rebasing * Import utm_terms and utm_content from GA * Merge imported utm_term and utm_content * Rename imported Countries data as Locations * Set imported city schema field to int * Remove utm_terms and utm_content when clearing imported * Clean locations import from Google Analytics - Country and region should be set to "" when GA provides "(not set)" - City should be set to 0 for "unknown", as we cannot reliably import city data from GA. * Display imported region and city in dashboard * os -> operating_system in some parts of code The inconsistency of using os in some places and operating_system in others causes trouble with subqueries and joins for the native and imported data, which would require additional logic to account for. The simplest solution is the just use a consistent word for all uses. This doesn't make any user-facing or database changes. * to_atom -> to_existing_atom * format * "events" metric -> :events * ignore imported data when "events" in metrics * update "bounce_rate" * atomise some more metrics from new city and region api * atomise some more metrics for email handlers * "conversion_rate" -> :conversion_rate during csv export * Move imported data stats code to own module * Move imported timeseries function to Stats.Imported * Use Timex.parse to import dates from GA * has_imported_stats -> imported_source * "time_on_page" -> :time_on_page * Convert imported GA data to UTC * Clean up GA request code a bit There was some weird logic here with two separate lists that really ought to be together, so this merges those. * Fail sooner if GA timezone can't be identified * Link imported tables to site by id * imported_utm_content -> imported_utm_contents * Imported GA from all of time * Reorganise GA data fetch logic - Fetch data from the start of time (2005) - Check whether no data was fetched, and if so, inform user and don't consider data to be imported. * Clarify removal of "visits" data when it isn't in metrics * Apply location filters from API This makes it consistent with the sources etc which filter out 'Direct / None' on the API side. These filters are used by both the native and imported data handling code, which would otherwise both duplicate the filters in their `where` clauses. * Do not use changeset for setting site.imported_source * Add all metrics to all dimensions * Run GA import in the background * Send email when GA import completes * Add handler to insert imported data into tests and imported_browsers_factory * Add remaining import data test factories * Add imported location data to test * Test main graph with imported data * Add imported data to operating systems tests * Add imported data to pages tests * Add imported data to entry pages tests * Add imported data to exit pages tests * Add imported data to devices tests * Add imported data to sources tests * Add imported data to UTM tests * Add new test module for the data import step * Test import of sources GA data * Test import of utm_mediums GA data * Test import of utm_campaigns GA data * Add tests for UTM terms * Add tests for UTM contents * Add test for importing pages and entry pages data from GA * Add test for importing exit page data * Fix module file name typo * Add test for importing location data from GA * Add test for importing devices data from GA * Add test for importing browsers data from GA * Add test for importing OS data from GA * Paginate GA requests to download all data * Bump clickhouse_ecto version * Move RefInspector wrapper function into module * Drop timezone transform on import * Order imported by side_id then date * More strings -> atoms Also changes a conditional to be a bit nicer * Remove parallelisation of data import * Split sources and UTM sources from fetched GA data GA has only a "source" dimension and no "UTM source" dimension. Instead it returns these combined. The logic herein to tease these apart is: 1. "(direct)" -> it's a direct source 2. if the source is a domain -> it's a source 3. "google" -> it's from adwords; let's make this a UTM source "adwords" 4. else -> just a UTM source * Keep prop names in queries as strings * fix typo * Fix import * Insert data to clickhouse in batches * Fix link when removing imported data * Merge source tables * Import hostname as well as pathname * Record start and end time of imported data * Track import progress * Fix month interval with imported data * Do not JOIN when imported date range has no overlap * Fix time on page using exits Co-authored-by: mcol <mcol@posteo.net>
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user = insert(:user, trial_expiry_date: Timex.today() |> Timex.shift(days: 1))
site = insert(:site, members: [user], imported_data: @imported_data)
api_stub =
stub(Plausible.Google.Api, :import_analytics, fn _site,
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_date_range,
_view_id,
_access_token ->
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:ok
[Continued] Google Analytics import (#1753) * Add has_imported_stats boolean to Site * Add Google Analytics import panel to general settings * Get GA profiles to display in import settings panel * Add import_from_google method as entrypoint to import data * Add imported_visitors table * Remove conflicting code from migration * Import visitors data into clickhouse database * Pass another dataset to main graph for rendering in red This adds another entry to the JSON data returned via the main graph API called `imported_plot`, which is similar to `plot` in form but will be completed with previously imported data. Currently it simply returns the values from `plot` / 2. The data is rendered in the main graph in red without fill, and without an indicator for the present. Rationale: imported data will not continue to grow so there is no projection forward, only backwards. * Hook imported GA data to dashboard timeseries plot * Add settings option to forget imported data * Import sources from google analytics * Merge imported sources when queried * Merge imported source data native data when querying sources * Start converting metrics to atoms so they can be subqueried This changes "visitors" and in some places "sources" to atoms. This does not change the behaviour of the functions - the tests all pass unchanged following this commit. This is necessary as joining subqueries requires that the keys in `select` statements be atoms and not strings. * Convery GA (direct) source to empty string * Import utm campaign and utm medium from GA * format * Import all data types from GA into new tables * Handle large amounts of more data more safely * Fix some mistakes in tables * Make GA requests in chunks of 5 queries * Only display imported timeseries when there is no filter * Correctly show last 30 minutes timeseries when 'realtime' * Add with_imported key to Query struct * Account for injected :is_not filter on sources from dashboard * Also add tentative imported_utm_sources table This needs a bit more work on the google import side, as GA do not report sources and utm sources as distinct things. * Return imported data to dashboard for rest of Sources panel This extends the merge_imported function definition for sources to utm_sources, utm_mediums and utm_campaigns too. This appears to be working on the DB side but something is incomplete on the client side. * Clear imported stats from all tables when requested * Merge entry pages and exit pages from imported data into unfiltered dashboard view This requires converting the `"visits"` and `"visit_duration"` metrics to atoms so that they can be used in ecto subqueries. * Display imported devices, browsers and OSs on dashboard * Display imported country data on dashboard * Add more metrics to entries/exits for modals * make sure data is returned via API with correct keys * Import regions and cities from GA * Capitalize device upon import to match native data * Leave query limits/offsets until after possibly joining with imported data * Also import timeOnPage and pageviews for pages from GA * imported_countries -> imported_locations * Get timeOnPage and pageviews for pages from GA These are needed for the pages modal, and for calculating exit rates for exit pages. * Add indicator to dashboard when imported data is being used * Don't show imported data as separately line on main graph * "bounce_rate" -> :bounce_rate, so it works in subqueries * Drop imported browser and OS versions These are not needed. * Toggle displaying imported data by clicking indicator * Parse referrers with RefInspector - Use 'ga:fullReferrer' instead of 'ga:source'. This provides the actual referrer host + path, whereas 'ga:source' includes utm_mediums and other values when relevant. - 'ga:fullReferror' does however include search engine names directly, so they are manually checked for as RefInspector won't pick up on these. * Keep imported data indicator on dashboard and strikethrough when hidden * Add unlink google button to import panel * Rename some GA browsers and OSes to plausible versions * Get main top pages and exit pages panels working correctly with imported data * mix format * Fetch time_on_pages for imported data when needed * entry pages need to fetch bounces from GA * "sample_percent" -> :sample_percent as only atoms can be used in subqueries * Calculate bounce_rate for joined native and imported data for top pages modal * Flip some query bindings around to be less misleading * Fixup entry page modal visit durations * mix format * Fetch bounces and visit_duration for sources from GA * add more source metrics used for data in modals * Make sources modals display correct values * imported_visitors: bounce_rate -> bounces, avg_visit_duration -> visit_duration * Merge imported data into aggregate stats * Reformat top graph side icons * Ensure sample_percent is yielded from aggregate data * filter event_props should be strings * Hide imported data from frontend when using filter * Fix existing tests * fix tests * Fix imported indicator appearing when filtering * comma needed, lost when rebasing * Import utm_terms and utm_content from GA * Merge imported utm_term and utm_content * Rename imported Countries data as Locations * Set imported city schema field to int * Remove utm_terms and utm_content when clearing imported * Clean locations import from Google Analytics - Country and region should be set to "" when GA provides "(not set)" - City should be set to 0 for "unknown", as we cannot reliably import city data from GA. * Display imported region and city in dashboard * os -> operating_system in some parts of code The inconsistency of using os in some places and operating_system in others causes trouble with subqueries and joins for the native and imported data, which would require additional logic to account for. The simplest solution is the just use a consistent word for all uses. This doesn't make any user-facing or database changes. * to_atom -> to_existing_atom * format * "events" metric -> :events * ignore imported data when "events" in metrics * update "bounce_rate" * atomise some more metrics from new city and region api * atomise some more metrics for email handlers * "conversion_rate" -> :conversion_rate during csv export * Move imported data stats code to own module * Move imported timeseries function to Stats.Imported * Use Timex.parse to import dates from GA * has_imported_stats -> imported_source * "time_on_page" -> :time_on_page * Convert imported GA data to UTC * Clean up GA request code a bit There was some weird logic here with two separate lists that really ought to be together, so this merges those. * Fail sooner if GA timezone can't be identified * Link imported tables to site by id * imported_utm_content -> imported_utm_contents * Imported GA from all of time * Reorganise GA data fetch logic - Fetch data from the start of time (2005) - Check whether no data was fetched, and if so, inform user and don't consider data to be imported. * Clarify removal of "visits" data when it isn't in metrics * Apply location filters from API This makes it consistent with the sources etc which filter out 'Direct / None' on the API side. These filters are used by both the native and imported data handling code, which would otherwise both duplicate the filters in their `where` clauses. * Do not use changeset for setting site.imported_source * Add all metrics to all dimensions * Run GA import in the background * Send email when GA import completes * Add handler to insert imported data into tests and imported_browsers_factory * Add remaining import data test factories * Add imported location data to test * Test main graph with imported data * Add imported data to operating systems tests * Add imported data to pages tests * Add imported data to entry pages tests * Add imported data to exit pages tests * Add imported data to devices tests * Add imported data to sources tests * Add imported data to UTM tests * Add new test module for the data import step * Test import of sources GA data * Test import of utm_mediums GA data * Test import of utm_campaigns GA data * Add tests for UTM terms * Add tests for UTM contents * Add test for importing pages and entry pages data from GA * Add test for importing exit page data * Fix module file name typo * Add test for importing location data from GA * Add test for importing devices data from GA * Add test for importing browsers data from GA * Add test for importing OS data from GA * Paginate GA requests to download all data * Bump clickhouse_ecto version * Move RefInspector wrapper function into module * Drop timezone transform on import * Order imported by side_id then date * More strings -> atoms Also changes a conditional to be a bit nicer * Remove parallelisation of data import * Split sources and UTM sources from fetched GA data GA has only a "source" dimension and no "UTM source" dimension. Instead it returns these combined. The logic herein to tease these apart is: 1. "(direct)" -> it's a direct source 2. if the source is a domain -> it's a source 3. "google" -> it's from adwords; let's make this a UTM source "adwords" 4. else -> just a UTM source * Keep prop names in queries as strings * fix typo * Fix import * Insert data to clickhouse in batches * Fix link when removing imported data * Merge source tables * Import hostname as well as pathname * Record start and end time of imported data * Track import progress * Fix month interval with imported data * Do not JOIN when imported date range has no overlap * Fix time on page using exits Co-authored-by: mcol <mcol@posteo.net>
2022-03-11 00:04:59 +03:00
end)
ImportGoogleAnalytics.perform(
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%Oban.Job{
args: %{
"site_id" => site.id,
"view_id" => "view_id",
"start_date" => "2020-01-01",
"end_date" => "2022-01-01",
"access_token" => "token"
}
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},
[Continued] Google Analytics import (#1753) * Add has_imported_stats boolean to Site * Add Google Analytics import panel to general settings * Get GA profiles to display in import settings panel * Add import_from_google method as entrypoint to import data * Add imported_visitors table * Remove conflicting code from migration * Import visitors data into clickhouse database * Pass another dataset to main graph for rendering in red This adds another entry to the JSON data returned via the main graph API called `imported_plot`, which is similar to `plot` in form but will be completed with previously imported data. Currently it simply returns the values from `plot` / 2. The data is rendered in the main graph in red without fill, and without an indicator for the present. Rationale: imported data will not continue to grow so there is no projection forward, only backwards. * Hook imported GA data to dashboard timeseries plot * Add settings option to forget imported data * Import sources from google analytics * Merge imported sources when queried * Merge imported source data native data when querying sources * Start converting metrics to atoms so they can be subqueried This changes "visitors" and in some places "sources" to atoms. This does not change the behaviour of the functions - the tests all pass unchanged following this commit. This is necessary as joining subqueries requires that the keys in `select` statements be atoms and not strings. * Convery GA (direct) source to empty string * Import utm campaign and utm medium from GA * format * Import all data types from GA into new tables * Handle large amounts of more data more safely * Fix some mistakes in tables * Make GA requests in chunks of 5 queries * Only display imported timeseries when there is no filter * Correctly show last 30 minutes timeseries when 'realtime' * Add with_imported key to Query struct * Account for injected :is_not filter on sources from dashboard * Also add tentative imported_utm_sources table This needs a bit more work on the google import side, as GA do not report sources and utm sources as distinct things. * Return imported data to dashboard for rest of Sources panel This extends the merge_imported function definition for sources to utm_sources, utm_mediums and utm_campaigns too. This appears to be working on the DB side but something is incomplete on the client side. * Clear imported stats from all tables when requested * Merge entry pages and exit pages from imported data into unfiltered dashboard view This requires converting the `"visits"` and `"visit_duration"` metrics to atoms so that they can be used in ecto subqueries. * Display imported devices, browsers and OSs on dashboard * Display imported country data on dashboard * Add more metrics to entries/exits for modals * make sure data is returned via API with correct keys * Import regions and cities from GA * Capitalize device upon import to match native data * Leave query limits/offsets until after possibly joining with imported data * Also import timeOnPage and pageviews for pages from GA * imported_countries -> imported_locations * Get timeOnPage and pageviews for pages from GA These are needed for the pages modal, and for calculating exit rates for exit pages. * Add indicator to dashboard when imported data is being used * Don't show imported data as separately line on main graph * "bounce_rate" -> :bounce_rate, so it works in subqueries * Drop imported browser and OS versions These are not needed. * Toggle displaying imported data by clicking indicator * Parse referrers with RefInspector - Use 'ga:fullReferrer' instead of 'ga:source'. This provides the actual referrer host + path, whereas 'ga:source' includes utm_mediums and other values when relevant. - 'ga:fullReferror' does however include search engine names directly, so they are manually checked for as RefInspector won't pick up on these. * Keep imported data indicator on dashboard and strikethrough when hidden * Add unlink google button to import panel * Rename some GA browsers and OSes to plausible versions * Get main top pages and exit pages panels working correctly with imported data * mix format * Fetch time_on_pages for imported data when needed * entry pages need to fetch bounces from GA * "sample_percent" -> :sample_percent as only atoms can be used in subqueries * Calculate bounce_rate for joined native and imported data for top pages modal * Flip some query bindings around to be less misleading * Fixup entry page modal visit durations * mix format * Fetch bounces and visit_duration for sources from GA * add more source metrics used for data in modals * Make sources modals display correct values * imported_visitors: bounce_rate -> bounces, avg_visit_duration -> visit_duration * Merge imported data into aggregate stats * Reformat top graph side icons * Ensure sample_percent is yielded from aggregate data * filter event_props should be strings * Hide imported data from frontend when using filter * Fix existing tests * fix tests * Fix imported indicator appearing when filtering * comma needed, lost when rebasing * Import utm_terms and utm_content from GA * Merge imported utm_term and utm_content * Rename imported Countries data as Locations * Set imported city schema field to int * Remove utm_terms and utm_content when clearing imported * Clean locations import from Google Analytics - Country and region should be set to "" when GA provides "(not set)" - City should be set to 0 for "unknown", as we cannot reliably import city data from GA. * Display imported region and city in dashboard * os -> operating_system in some parts of code The inconsistency of using os in some places and operating_system in others causes trouble with subqueries and joins for the native and imported data, which would require additional logic to account for. The simplest solution is the just use a consistent word for all uses. This doesn't make any user-facing or database changes. * to_atom -> to_existing_atom * format * "events" metric -> :events * ignore imported data when "events" in metrics * update "bounce_rate" * atomise some more metrics from new city and region api * atomise some more metrics for email handlers * "conversion_rate" -> :conversion_rate during csv export * Move imported data stats code to own module * Move imported timeseries function to Stats.Imported * Use Timex.parse to import dates from GA * has_imported_stats -> imported_source * "time_on_page" -> :time_on_page * Convert imported GA data to UTC * Clean up GA request code a bit There was some weird logic here with two separate lists that really ought to be together, so this merges those. * Fail sooner if GA timezone can't be identified * Link imported tables to site by id * imported_utm_content -> imported_utm_contents * Imported GA from all of time * Reorganise GA data fetch logic - Fetch data from the start of time (2005) - Check whether no data was fetched, and if so, inform user and don't consider data to be imported. * Clarify removal of "visits" data when it isn't in metrics * Apply location filters from API This makes it consistent with the sources etc which filter out 'Direct / None' on the API side. These filters are used by both the native and imported data handling code, which would otherwise both duplicate the filters in their `where` clauses. * Do not use changeset for setting site.imported_source * Add all metrics to all dimensions * Run GA import in the background * Send email when GA import completes * Add handler to insert imported data into tests and imported_browsers_factory * Add remaining import data test factories * Add imported location data to test * Test main graph with imported data * Add imported data to operating systems tests * Add imported data to pages tests * Add imported data to entry pages tests * Add imported data to exit pages tests * Add imported data to devices tests * Add imported data to sources tests * Add imported data to UTM tests * Add new test module for the data import step * Test import of sources GA data * Test import of utm_mediums GA data * Test import of utm_campaigns GA data * Add tests for UTM terms * Add tests for UTM contents * Add test for importing pages and entry pages data from GA * Add test for importing exit page data * Fix module file name typo * Add test for importing location data from GA * Add test for importing devices data from GA * Add test for importing browsers data from GA * Add test for importing OS data from GA * Paginate GA requests to download all data * Bump clickhouse_ecto version * Move RefInspector wrapper function into module * Drop timezone transform on import * Order imported by side_id then date * More strings -> atoms Also changes a conditional to be a bit nicer * Remove parallelisation of data import * Split sources and UTM sources from fetched GA data GA has only a "source" dimension and no "UTM source" dimension. Instead it returns these combined. The logic herein to tease these apart is: 1. "(direct)" -> it's a direct source 2. if the source is a domain -> it's a source 3. "google" -> it's from adwords; let's make this a UTM source "adwords" 4. else -> just a UTM source * Keep prop names in queries as strings * fix typo * Fix import * Insert data to clickhouse in batches * Fix link when removing imported data * Merge source tables * Import hostname as well as pathname * Record start and end time of imported data * Track import progress * Fix month interval with imported data * Do not JOIN when imported date range has no overlap * Fix time on page using exits Co-authored-by: mcol <mcol@posteo.net>
2022-03-11 00:04:59 +03:00
api_stub
)
assert Repo.reload!(site).imported_data.status == "ok"
end
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test "updates the stats_start_date field for the site after successful import" do
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user = insert(:user, trial_expiry_date: Timex.today() |> Timex.shift(days: 1))
site = insert(:site, members: [user], imported_data: @imported_data)
api_stub =
stub(Plausible.Google.Api, :import_analytics, fn _site,
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_date_range,
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_view_id,
_access_token ->
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:ok
2022-04-06 10:10:53 +03:00
end)
ImportGoogleAnalytics.perform(
%Oban.Job{
args: %{
"site_id" => site.id,
"view_id" => "view_id",
"start_date" => "2020-01-01",
"end_date" => "2022-01-01",
"access_token" => "token"
}
},
api_stub
)
assert Repo.reload!(site).stats_start_date == @imported_data.start_date
end
2022-04-11 20:42:40 +03:00
test "sends email to owner after successful import" do
[Continued] Google Analytics import (#1753) * Add has_imported_stats boolean to Site * Add Google Analytics import panel to general settings * Get GA profiles to display in import settings panel * Add import_from_google method as entrypoint to import data * Add imported_visitors table * Remove conflicting code from migration * Import visitors data into clickhouse database * Pass another dataset to main graph for rendering in red This adds another entry to the JSON data returned via the main graph API called `imported_plot`, which is similar to `plot` in form but will be completed with previously imported data. Currently it simply returns the values from `plot` / 2. The data is rendered in the main graph in red without fill, and without an indicator for the present. Rationale: imported data will not continue to grow so there is no projection forward, only backwards. * Hook imported GA data to dashboard timeseries plot * Add settings option to forget imported data * Import sources from google analytics * Merge imported sources when queried * Merge imported source data native data when querying sources * Start converting metrics to atoms so they can be subqueried This changes "visitors" and in some places "sources" to atoms. This does not change the behaviour of the functions - the tests all pass unchanged following this commit. This is necessary as joining subqueries requires that the keys in `select` statements be atoms and not strings. * Convery GA (direct) source to empty string * Import utm campaign and utm medium from GA * format * Import all data types from GA into new tables * Handle large amounts of more data more safely * Fix some mistakes in tables * Make GA requests in chunks of 5 queries * Only display imported timeseries when there is no filter * Correctly show last 30 minutes timeseries when 'realtime' * Add with_imported key to Query struct * Account for injected :is_not filter on sources from dashboard * Also add tentative imported_utm_sources table This needs a bit more work on the google import side, as GA do not report sources and utm sources as distinct things. * Return imported data to dashboard for rest of Sources panel This extends the merge_imported function definition for sources to utm_sources, utm_mediums and utm_campaigns too. This appears to be working on the DB side but something is incomplete on the client side. * Clear imported stats from all tables when requested * Merge entry pages and exit pages from imported data into unfiltered dashboard view This requires converting the `"visits"` and `"visit_duration"` metrics to atoms so that they can be used in ecto subqueries. * Display imported devices, browsers and OSs on dashboard * Display imported country data on dashboard * Add more metrics to entries/exits for modals * make sure data is returned via API with correct keys * Import regions and cities from GA * Capitalize device upon import to match native data * Leave query limits/offsets until after possibly joining with imported data * Also import timeOnPage and pageviews for pages from GA * imported_countries -> imported_locations * Get timeOnPage and pageviews for pages from GA These are needed for the pages modal, and for calculating exit rates for exit pages. * Add indicator to dashboard when imported data is being used * Don't show imported data as separately line on main graph * "bounce_rate" -> :bounce_rate, so it works in subqueries * Drop imported browser and OS versions These are not needed. * Toggle displaying imported data by clicking indicator * Parse referrers with RefInspector - Use 'ga:fullReferrer' instead of 'ga:source'. This provides the actual referrer host + path, whereas 'ga:source' includes utm_mediums and other values when relevant. - 'ga:fullReferror' does however include search engine names directly, so they are manually checked for as RefInspector won't pick up on these. * Keep imported data indicator on dashboard and strikethrough when hidden * Add unlink google button to import panel * Rename some GA browsers and OSes to plausible versions * Get main top pages and exit pages panels working correctly with imported data * mix format * Fetch time_on_pages for imported data when needed * entry pages need to fetch bounces from GA * "sample_percent" -> :sample_percent as only atoms can be used in subqueries * Calculate bounce_rate for joined native and imported data for top pages modal * Flip some query bindings around to be less misleading * Fixup entry page modal visit durations * mix format * Fetch bounces and visit_duration for sources from GA * add more source metrics used for data in modals * Make sources modals display correct values * imported_visitors: bounce_rate -> bounces, avg_visit_duration -> visit_duration * Merge imported data into aggregate stats * Reformat top graph side icons * Ensure sample_percent is yielded from aggregate data * filter event_props should be strings * Hide imported data from frontend when using filter * Fix existing tests * fix tests * Fix imported indicator appearing when filtering * comma needed, lost when rebasing * Import utm_terms and utm_content from GA * Merge imported utm_term and utm_content * Rename imported Countries data as Locations * Set imported city schema field to int * Remove utm_terms and utm_content when clearing imported * Clean locations import from Google Analytics - Country and region should be set to "" when GA provides "(not set)" - City should be set to 0 for "unknown", as we cannot reliably import city data from GA. * Display imported region and city in dashboard * os -> operating_system in some parts of code The inconsistency of using os in some places and operating_system in others causes trouble with subqueries and joins for the native and imported data, which would require additional logic to account for. The simplest solution is the just use a consistent word for all uses. This doesn't make any user-facing or database changes. * to_atom -> to_existing_atom * format * "events" metric -> :events * ignore imported data when "events" in metrics * update "bounce_rate" * atomise some more metrics from new city and region api * atomise some more metrics for email handlers * "conversion_rate" -> :conversion_rate during csv export * Move imported data stats code to own module * Move imported timeseries function to Stats.Imported * Use Timex.parse to import dates from GA * has_imported_stats -> imported_source * "time_on_page" -> :time_on_page * Convert imported GA data to UTC * Clean up GA request code a bit There was some weird logic here with two separate lists that really ought to be together, so this merges those. * Fail sooner if GA timezone can't be identified * Link imported tables to site by id * imported_utm_content -> imported_utm_contents * Imported GA from all of time * Reorganise GA data fetch logic - Fetch data from the start of time (2005) - Check whether no data was fetched, and if so, inform user and don't consider data to be imported. * Clarify removal of "visits" data when it isn't in metrics * Apply location filters from API This makes it consistent with the sources etc which filter out 'Direct / None' on the API side. These filters are used by both the native and imported data handling code, which would otherwise both duplicate the filters in their `where` clauses. * Do not use changeset for setting site.imported_source * Add all metrics to all dimensions * Run GA import in the background * Send email when GA import completes * Add handler to insert imported data into tests and imported_browsers_factory * Add remaining import data test factories * Add imported location data to test * Test main graph with imported data * Add imported data to operating systems tests * Add imported data to pages tests * Add imported data to entry pages tests * Add imported data to exit pages tests * Add imported data to devices tests * Add imported data to sources tests * Add imported data to UTM tests * Add new test module for the data import step * Test import of sources GA data * Test import of utm_mediums GA data * Test import of utm_campaigns GA data * Add tests for UTM terms * Add tests for UTM contents * Add test for importing pages and entry pages data from GA * Add test for importing exit page data * Fix module file name typo * Add test for importing location data from GA * Add test for importing devices data from GA * Add test for importing browsers data from GA * Add test for importing OS data from GA * Paginate GA requests to download all data * Bump clickhouse_ecto version * Move RefInspector wrapper function into module * Drop timezone transform on import * Order imported by side_id then date * More strings -> atoms Also changes a conditional to be a bit nicer * Remove parallelisation of data import * Split sources and UTM sources from fetched GA data GA has only a "source" dimension and no "UTM source" dimension. Instead it returns these combined. The logic herein to tease these apart is: 1. "(direct)" -> it's a direct source 2. if the source is a domain -> it's a source 3. "google" -> it's from adwords; let's make this a UTM source "adwords" 4. else -> just a UTM source * Keep prop names in queries as strings * fix typo * Fix import * Insert data to clickhouse in batches * Fix link when removing imported data * Merge source tables * Import hostname as well as pathname * Record start and end time of imported data * Track import progress * Fix month interval with imported data * Do not JOIN when imported date range has no overlap * Fix time on page using exits Co-authored-by: mcol <mcol@posteo.net>
2022-03-11 00:04:59 +03:00
user = insert(:user, trial_expiry_date: Timex.today() |> Timex.shift(days: 1))
site = insert(:site, members: [user], imported_data: @imported_data)
api_stub =
stub(Plausible.Google.Api, :import_analytics, fn _site,
2022-04-08 08:43:07 +03:00
_date_range,
_view_id,
_access_token ->
2022-04-08 08:43:07 +03:00
:ok
[Continued] Google Analytics import (#1753) * Add has_imported_stats boolean to Site * Add Google Analytics import panel to general settings * Get GA profiles to display in import settings panel * Add import_from_google method as entrypoint to import data * Add imported_visitors table * Remove conflicting code from migration * Import visitors data into clickhouse database * Pass another dataset to main graph for rendering in red This adds another entry to the JSON data returned via the main graph API called `imported_plot`, which is similar to `plot` in form but will be completed with previously imported data. Currently it simply returns the values from `plot` / 2. The data is rendered in the main graph in red without fill, and without an indicator for the present. Rationale: imported data will not continue to grow so there is no projection forward, only backwards. * Hook imported GA data to dashboard timeseries plot * Add settings option to forget imported data * Import sources from google analytics * Merge imported sources when queried * Merge imported source data native data when querying sources * Start converting metrics to atoms so they can be subqueried This changes "visitors" and in some places "sources" to atoms. This does not change the behaviour of the functions - the tests all pass unchanged following this commit. This is necessary as joining subqueries requires that the keys in `select` statements be atoms and not strings. * Convery GA (direct) source to empty string * Import utm campaign and utm medium from GA * format * Import all data types from GA into new tables * Handle large amounts of more data more safely * Fix some mistakes in tables * Make GA requests in chunks of 5 queries * Only display imported timeseries when there is no filter * Correctly show last 30 minutes timeseries when 'realtime' * Add with_imported key to Query struct * Account for injected :is_not filter on sources from dashboard * Also add tentative imported_utm_sources table This needs a bit more work on the google import side, as GA do not report sources and utm sources as distinct things. * Return imported data to dashboard for rest of Sources panel This extends the merge_imported function definition for sources to utm_sources, utm_mediums and utm_campaigns too. This appears to be working on the DB side but something is incomplete on the client side. * Clear imported stats from all tables when requested * Merge entry pages and exit pages from imported data into unfiltered dashboard view This requires converting the `"visits"` and `"visit_duration"` metrics to atoms so that they can be used in ecto subqueries. * Display imported devices, browsers and OSs on dashboard * Display imported country data on dashboard * Add more metrics to entries/exits for modals * make sure data is returned via API with correct keys * Import regions and cities from GA * Capitalize device upon import to match native data * Leave query limits/offsets until after possibly joining with imported data * Also import timeOnPage and pageviews for pages from GA * imported_countries -> imported_locations * Get timeOnPage and pageviews for pages from GA These are needed for the pages modal, and for calculating exit rates for exit pages. * Add indicator to dashboard when imported data is being used * Don't show imported data as separately line on main graph * "bounce_rate" -> :bounce_rate, so it works in subqueries * Drop imported browser and OS versions These are not needed. * Toggle displaying imported data by clicking indicator * Parse referrers with RefInspector - Use 'ga:fullReferrer' instead of 'ga:source'. This provides the actual referrer host + path, whereas 'ga:source' includes utm_mediums and other values when relevant. - 'ga:fullReferror' does however include search engine names directly, so they are manually checked for as RefInspector won't pick up on these. * Keep imported data indicator on dashboard and strikethrough when hidden * Add unlink google button to import panel * Rename some GA browsers and OSes to plausible versions * Get main top pages and exit pages panels working correctly with imported data * mix format * Fetch time_on_pages for imported data when needed * entry pages need to fetch bounces from GA * "sample_percent" -> :sample_percent as only atoms can be used in subqueries * Calculate bounce_rate for joined native and imported data for top pages modal * Flip some query bindings around to be less misleading * Fixup entry page modal visit durations * mix format * Fetch bounces and visit_duration for sources from GA * add more source metrics used for data in modals * Make sources modals display correct values * imported_visitors: bounce_rate -> bounces, avg_visit_duration -> visit_duration * Merge imported data into aggregate stats * Reformat top graph side icons * Ensure sample_percent is yielded from aggregate data * filter event_props should be strings * Hide imported data from frontend when using filter * Fix existing tests * fix tests * Fix imported indicator appearing when filtering * comma needed, lost when rebasing * Import utm_terms and utm_content from GA * Merge imported utm_term and utm_content * Rename imported Countries data as Locations * Set imported city schema field to int * Remove utm_terms and utm_content when clearing imported * Clean locations import from Google Analytics - Country and region should be set to "" when GA provides "(not set)" - City should be set to 0 for "unknown", as we cannot reliably import city data from GA. * Display imported region and city in dashboard * os -> operating_system in some parts of code The inconsistency of using os in some places and operating_system in others causes trouble with subqueries and joins for the native and imported data, which would require additional logic to account for. The simplest solution is the just use a consistent word for all uses. This doesn't make any user-facing or database changes. * to_atom -> to_existing_atom * format * "events" metric -> :events * ignore imported data when "events" in metrics * update "bounce_rate" * atomise some more metrics from new city and region api * atomise some more metrics for email handlers * "conversion_rate" -> :conversion_rate during csv export * Move imported data stats code to own module * Move imported timeseries function to Stats.Imported * Use Timex.parse to import dates from GA * has_imported_stats -> imported_source * "time_on_page" -> :time_on_page * Convert imported GA data to UTC * Clean up GA request code a bit There was some weird logic here with two separate lists that really ought to be together, so this merges those. * Fail sooner if GA timezone can't be identified * Link imported tables to site by id * imported_utm_content -> imported_utm_contents * Imported GA from all of time * Reorganise GA data fetch logic - Fetch data from the start of time (2005) - Check whether no data was fetched, and if so, inform user and don't consider data to be imported. * Clarify removal of "visits" data when it isn't in metrics * Apply location filters from API This makes it consistent with the sources etc which filter out 'Direct / None' on the API side. These filters are used by both the native and imported data handling code, which would otherwise both duplicate the filters in their `where` clauses. * Do not use changeset for setting site.imported_source * Add all metrics to all dimensions * Run GA import in the background * Send email when GA import completes * Add handler to insert imported data into tests and imported_browsers_factory * Add remaining import data test factories * Add imported location data to test * Test main graph with imported data * Add imported data to operating systems tests * Add imported data to pages tests * Add imported data to entry pages tests * Add imported data to exit pages tests * Add imported data to devices tests * Add imported data to sources tests * Add imported data to UTM tests * Add new test module for the data import step * Test import of sources GA data * Test import of utm_mediums GA data * Test import of utm_campaigns GA data * Add tests for UTM terms * Add tests for UTM contents * Add test for importing pages and entry pages data from GA * Add test for importing exit page data * Fix module file name typo * Add test for importing location data from GA * Add test for importing devices data from GA * Add test for importing browsers data from GA * Add test for importing OS data from GA * Paginate GA requests to download all data * Bump clickhouse_ecto version * Move RefInspector wrapper function into module * Drop timezone transform on import * Order imported by side_id then date * More strings -> atoms Also changes a conditional to be a bit nicer * Remove parallelisation of data import * Split sources and UTM sources from fetched GA data GA has only a "source" dimension and no "UTM source" dimension. Instead it returns these combined. The logic herein to tease these apart is: 1. "(direct)" -> it's a direct source 2. if the source is a domain -> it's a source 3. "google" -> it's from adwords; let's make this a UTM source "adwords" 4. else -> just a UTM source * Keep prop names in queries as strings * fix typo * Fix import * Insert data to clickhouse in batches * Fix link when removing imported data * Merge source tables * Import hostname as well as pathname * Record start and end time of imported data * Track import progress * Fix month interval with imported data * Do not JOIN when imported date range has no overlap * Fix time on page using exits Co-authored-by: mcol <mcol@posteo.net>
2022-03-11 00:04:59 +03:00
end)
ImportGoogleAnalytics.perform(
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%Oban.Job{
args: %{
"site_id" => site.id,
"view_id" => "view_id",
"start_date" => "2020-01-01",
"end_date" => "2022-01-01",
"access_token" => "token"
}
2022-03-21 13:55:20 +03:00
},
[Continued] Google Analytics import (#1753) * Add has_imported_stats boolean to Site * Add Google Analytics import panel to general settings * Get GA profiles to display in import settings panel * Add import_from_google method as entrypoint to import data * Add imported_visitors table * Remove conflicting code from migration * Import visitors data into clickhouse database * Pass another dataset to main graph for rendering in red This adds another entry to the JSON data returned via the main graph API called `imported_plot`, which is similar to `plot` in form but will be completed with previously imported data. Currently it simply returns the values from `plot` / 2. The data is rendered in the main graph in red without fill, and without an indicator for the present. Rationale: imported data will not continue to grow so there is no projection forward, only backwards. * Hook imported GA data to dashboard timeseries plot * Add settings option to forget imported data * Import sources from google analytics * Merge imported sources when queried * Merge imported source data native data when querying sources * Start converting metrics to atoms so they can be subqueried This changes "visitors" and in some places "sources" to atoms. This does not change the behaviour of the functions - the tests all pass unchanged following this commit. This is necessary as joining subqueries requires that the keys in `select` statements be atoms and not strings. * Convery GA (direct) source to empty string * Import utm campaign and utm medium from GA * format * Import all data types from GA into new tables * Handle large amounts of more data more safely * Fix some mistakes in tables * Make GA requests in chunks of 5 queries * Only display imported timeseries when there is no filter * Correctly show last 30 minutes timeseries when 'realtime' * Add with_imported key to Query struct * Account for injected :is_not filter on sources from dashboard * Also add tentative imported_utm_sources table This needs a bit more work on the google import side, as GA do not report sources and utm sources as distinct things. * Return imported data to dashboard for rest of Sources panel This extends the merge_imported function definition for sources to utm_sources, utm_mediums and utm_campaigns too. This appears to be working on the DB side but something is incomplete on the client side. * Clear imported stats from all tables when requested * Merge entry pages and exit pages from imported data into unfiltered dashboard view This requires converting the `"visits"` and `"visit_duration"` metrics to atoms so that they can be used in ecto subqueries. * Display imported devices, browsers and OSs on dashboard * Display imported country data on dashboard * Add more metrics to entries/exits for modals * make sure data is returned via API with correct keys * Import regions and cities from GA * Capitalize device upon import to match native data * Leave query limits/offsets until after possibly joining with imported data * Also import timeOnPage and pageviews for pages from GA * imported_countries -> imported_locations * Get timeOnPage and pageviews for pages from GA These are needed for the pages modal, and for calculating exit rates for exit pages. * Add indicator to dashboard when imported data is being used * Don't show imported data as separately line on main graph * "bounce_rate" -> :bounce_rate, so it works in subqueries * Drop imported browser and OS versions These are not needed. * Toggle displaying imported data by clicking indicator * Parse referrers with RefInspector - Use 'ga:fullReferrer' instead of 'ga:source'. This provides the actual referrer host + path, whereas 'ga:source' includes utm_mediums and other values when relevant. - 'ga:fullReferror' does however include search engine names directly, so they are manually checked for as RefInspector won't pick up on these. * Keep imported data indicator on dashboard and strikethrough when hidden * Add unlink google button to import panel * Rename some GA browsers and OSes to plausible versions * Get main top pages and exit pages panels working correctly with imported data * mix format * Fetch time_on_pages for imported data when needed * entry pages need to fetch bounces from GA * "sample_percent" -> :sample_percent as only atoms can be used in subqueries * Calculate bounce_rate for joined native and imported data for top pages modal * Flip some query bindings around to be less misleading * Fixup entry page modal visit durations * mix format * Fetch bounces and visit_duration for sources from GA * add more source metrics used for data in modals * Make sources modals display correct values * imported_visitors: bounce_rate -> bounces, avg_visit_duration -> visit_duration * Merge imported data into aggregate stats * Reformat top graph side icons * Ensure sample_percent is yielded from aggregate data * filter event_props should be strings * Hide imported data from frontend when using filter * Fix existing tests * fix tests * Fix imported indicator appearing when filtering * comma needed, lost when rebasing * Import utm_terms and utm_content from GA * Merge imported utm_term and utm_content * Rename imported Countries data as Locations * Set imported city schema field to int * Remove utm_terms and utm_content when clearing imported * Clean locations import from Google Analytics - Country and region should be set to "" when GA provides "(not set)" - City should be set to 0 for "unknown", as we cannot reliably import city data from GA. * Display imported region and city in dashboard * os -> operating_system in some parts of code The inconsistency of using os in some places and operating_system in others causes trouble with subqueries and joins for the native and imported data, which would require additional logic to account for. The simplest solution is the just use a consistent word for all uses. This doesn't make any user-facing or database changes. * to_atom -> to_existing_atom * format * "events" metric -> :events * ignore imported data when "events" in metrics * update "bounce_rate" * atomise some more metrics from new city and region api * atomise some more metrics for email handlers * "conversion_rate" -> :conversion_rate during csv export * Move imported data stats code to own module * Move imported timeseries function to Stats.Imported * Use Timex.parse to import dates from GA * has_imported_stats -> imported_source * "time_on_page" -> :time_on_page * Convert imported GA data to UTC * Clean up GA request code a bit There was some weird logic here with two separate lists that really ought to be together, so this merges those. * Fail sooner if GA timezone can't be identified * Link imported tables to site by id * imported_utm_content -> imported_utm_contents * Imported GA from all of time * Reorganise GA data fetch logic - Fetch data from the start of time (2005) - Check whether no data was fetched, and if so, inform user and don't consider data to be imported. * Clarify removal of "visits" data when it isn't in metrics * Apply location filters from API This makes it consistent with the sources etc which filter out 'Direct / None' on the API side. These filters are used by both the native and imported data handling code, which would otherwise both duplicate the filters in their `where` clauses. * Do not use changeset for setting site.imported_source * Add all metrics to all dimensions * Run GA import in the background * Send email when GA import completes * Add handler to insert imported data into tests and imported_browsers_factory * Add remaining import data test factories * Add imported location data to test * Test main graph with imported data * Add imported data to operating systems tests * Add imported data to pages tests * Add imported data to entry pages tests * Add imported data to exit pages tests * Add imported data to devices tests * Add imported data to sources tests * Add imported data to UTM tests * Add new test module for the data import step * Test import of sources GA data * Test import of utm_mediums GA data * Test import of utm_campaigns GA data * Add tests for UTM terms * Add tests for UTM contents * Add test for importing pages and entry pages data from GA * Add test for importing exit page data * Fix module file name typo * Add test for importing location data from GA * Add test for importing devices data from GA * Add test for importing browsers data from GA * Add test for importing OS data from GA * Paginate GA requests to download all data * Bump clickhouse_ecto version * Move RefInspector wrapper function into module * Drop timezone transform on import * Order imported by side_id then date * More strings -> atoms Also changes a conditional to be a bit nicer * Remove parallelisation of data import * Split sources and UTM sources from fetched GA data GA has only a "source" dimension and no "UTM source" dimension. Instead it returns these combined. The logic herein to tease these apart is: 1. "(direct)" -> it's a direct source 2. if the source is a domain -> it's a source 3. "google" -> it's from adwords; let's make this a UTM source "adwords" 4. else -> just a UTM source * Keep prop names in queries as strings * fix typo * Fix import * Insert data to clickhouse in batches * Fix link when removing imported data * Merge source tables * Import hostname as well as pathname * Record start and end time of imported data * Track import progress * Fix month interval with imported data * Do not JOIN when imported date range has no overlap * Fix time on page using exits Co-authored-by: mcol <mcol@posteo.net>
2022-03-11 00:04:59 +03:00
api_stub
)
assert_email_delivered_with(
to: [user],
subject: "Google Analytics data imported for #{site.domain}"
)
end
test "updates site record after failed import" do
user = insert(:user, trial_expiry_date: Timex.today() |> Timex.shift(days: 1))
site = insert(:site, members: [user], imported_data: @imported_data)
api_stub =
stub(Plausible.Google.Api, :import_analytics, fn _site,
2022-04-08 08:43:07 +03:00
_date_range,
_view_id,
_access_token ->
[Continued] Google Analytics import (#1753) * Add has_imported_stats boolean to Site * Add Google Analytics import panel to general settings * Get GA profiles to display in import settings panel * Add import_from_google method as entrypoint to import data * Add imported_visitors table * Remove conflicting code from migration * Import visitors data into clickhouse database * Pass another dataset to main graph for rendering in red This adds another entry to the JSON data returned via the main graph API called `imported_plot`, which is similar to `plot` in form but will be completed with previously imported data. Currently it simply returns the values from `plot` / 2. The data is rendered in the main graph in red without fill, and without an indicator for the present. Rationale: imported data will not continue to grow so there is no projection forward, only backwards. * Hook imported GA data to dashboard timeseries plot * Add settings option to forget imported data * Import sources from google analytics * Merge imported sources when queried * Merge imported source data native data when querying sources * Start converting metrics to atoms so they can be subqueried This changes "visitors" and in some places "sources" to atoms. This does not change the behaviour of the functions - the tests all pass unchanged following this commit. This is necessary as joining subqueries requires that the keys in `select` statements be atoms and not strings. * Convery GA (direct) source to empty string * Import utm campaign and utm medium from GA * format * Import all data types from GA into new tables * Handle large amounts of more data more safely * Fix some mistakes in tables * Make GA requests in chunks of 5 queries * Only display imported timeseries when there is no filter * Correctly show last 30 minutes timeseries when 'realtime' * Add with_imported key to Query struct * Account for injected :is_not filter on sources from dashboard * Also add tentative imported_utm_sources table This needs a bit more work on the google import side, as GA do not report sources and utm sources as distinct things. * Return imported data to dashboard for rest of Sources panel This extends the merge_imported function definition for sources to utm_sources, utm_mediums and utm_campaigns too. This appears to be working on the DB side but something is incomplete on the client side. * Clear imported stats from all tables when requested * Merge entry pages and exit pages from imported data into unfiltered dashboard view This requires converting the `"visits"` and `"visit_duration"` metrics to atoms so that they can be used in ecto subqueries. * Display imported devices, browsers and OSs on dashboard * Display imported country data on dashboard * Add more metrics to entries/exits for modals * make sure data is returned via API with correct keys * Import regions and cities from GA * Capitalize device upon import to match native data * Leave query limits/offsets until after possibly joining with imported data * Also import timeOnPage and pageviews for pages from GA * imported_countries -> imported_locations * Get timeOnPage and pageviews for pages from GA These are needed for the pages modal, and for calculating exit rates for exit pages. * Add indicator to dashboard when imported data is being used * Don't show imported data as separately line on main graph * "bounce_rate" -> :bounce_rate, so it works in subqueries * Drop imported browser and OS versions These are not needed. * Toggle displaying imported data by clicking indicator * Parse referrers with RefInspector - Use 'ga:fullReferrer' instead of 'ga:source'. This provides the actual referrer host + path, whereas 'ga:source' includes utm_mediums and other values when relevant. - 'ga:fullReferror' does however include search engine names directly, so they are manually checked for as RefInspector won't pick up on these. * Keep imported data indicator on dashboard and strikethrough when hidden * Add unlink google button to import panel * Rename some GA browsers and OSes to plausible versions * Get main top pages and exit pages panels working correctly with imported data * mix format * Fetch time_on_pages for imported data when needed * entry pages need to fetch bounces from GA * "sample_percent" -> :sample_percent as only atoms can be used in subqueries * Calculate bounce_rate for joined native and imported data for top pages modal * Flip some query bindings around to be less misleading * Fixup entry page modal visit durations * mix format * Fetch bounces and visit_duration for sources from GA * add more source metrics used for data in modals * Make sources modals display correct values * imported_visitors: bounce_rate -> bounces, avg_visit_duration -> visit_duration * Merge imported data into aggregate stats * Reformat top graph side icons * Ensure sample_percent is yielded from aggregate data * filter event_props should be strings * Hide imported data from frontend when using filter * Fix existing tests * fix tests * Fix imported indicator appearing when filtering * comma needed, lost when rebasing * Import utm_terms and utm_content from GA * Merge imported utm_term and utm_content * Rename imported Countries data as Locations * Set imported city schema field to int * Remove utm_terms and utm_content when clearing imported * Clean locations import from Google Analytics - Country and region should be set to "" when GA provides "(not set)" - City should be set to 0 for "unknown", as we cannot reliably import city data from GA. * Display imported region and city in dashboard * os -> operating_system in some parts of code The inconsistency of using os in some places and operating_system in others causes trouble with subqueries and joins for the native and imported data, which would require additional logic to account for. The simplest solution is the just use a consistent word for all uses. This doesn't make any user-facing or database changes. * to_atom -> to_existing_atom * format * "events" metric -> :events * ignore imported data when "events" in metrics * update "bounce_rate" * atomise some more metrics from new city and region api * atomise some more metrics for email handlers * "conversion_rate" -> :conversion_rate during csv export * Move imported data stats code to own module * Move imported timeseries function to Stats.Imported * Use Timex.parse to import dates from GA * has_imported_stats -> imported_source * "time_on_page" -> :time_on_page * Convert imported GA data to UTC * Clean up GA request code a bit There was some weird logic here with two separate lists that really ought to be together, so this merges those. * Fail sooner if GA timezone can't be identified * Link imported tables to site by id * imported_utm_content -> imported_utm_contents * Imported GA from all of time * Reorganise GA data fetch logic - Fetch data from the start of time (2005) - Check whether no data was fetched, and if so, inform user and don't consider data to be imported. * Clarify removal of "visits" data when it isn't in metrics * Apply location filters from API This makes it consistent with the sources etc which filter out 'Direct / None' on the API side. These filters are used by both the native and imported data handling code, which would otherwise both duplicate the filters in their `where` clauses. * Do not use changeset for setting site.imported_source * Add all metrics to all dimensions * Run GA import in the background * Send email when GA import completes * Add handler to insert imported data into tests and imported_browsers_factory * Add remaining import data test factories * Add imported location data to test * Test main graph with imported data * Add imported data to operating systems tests * Add imported data to pages tests * Add imported data to entry pages tests * Add imported data to exit pages tests * Add imported data to devices tests * Add imported data to sources tests * Add imported data to UTM tests * Add new test module for the data import step * Test import of sources GA data * Test import of utm_mediums GA data * Test import of utm_campaigns GA data * Add tests for UTM terms * Add tests for UTM contents * Add test for importing pages and entry pages data from GA * Add test for importing exit page data * Fix module file name typo * Add test for importing location data from GA * Add test for importing devices data from GA * Add test for importing browsers data from GA * Add test for importing OS data from GA * Paginate GA requests to download all data * Bump clickhouse_ecto version * Move RefInspector wrapper function into module * Drop timezone transform on import * Order imported by side_id then date * More strings -> atoms Also changes a conditional to be a bit nicer * Remove parallelisation of data import * Split sources and UTM sources from fetched GA data GA has only a "source" dimension and no "UTM source" dimension. Instead it returns these combined. The logic herein to tease these apart is: 1. "(direct)" -> it's a direct source 2. if the source is a domain -> it's a source 3. "google" -> it's from adwords; let's make this a UTM source "adwords" 4. else -> just a UTM source * Keep prop names in queries as strings * fix typo * Fix import * Insert data to clickhouse in batches * Fix link when removing imported data * Merge source tables * Import hostname as well as pathname * Record start and end time of imported data * Track import progress * Fix month interval with imported data * Do not JOIN when imported date range has no overlap * Fix time on page using exits Co-authored-by: mcol <mcol@posteo.net>
2022-03-11 00:04:59 +03:00
{:error, "Something went wrong"}
end)
ImportGoogleAnalytics.perform(
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%Oban.Job{
args: %{
"site_id" => site.id,
"view_id" => "view_id",
"start_date" => "2020-01-01",
"end_date" => "2022-01-01",
"access_token" => "token"
}
2022-03-21 13:55:20 +03:00
},
[Continued] Google Analytics import (#1753) * Add has_imported_stats boolean to Site * Add Google Analytics import panel to general settings * Get GA profiles to display in import settings panel * Add import_from_google method as entrypoint to import data * Add imported_visitors table * Remove conflicting code from migration * Import visitors data into clickhouse database * Pass another dataset to main graph for rendering in red This adds another entry to the JSON data returned via the main graph API called `imported_plot`, which is similar to `plot` in form but will be completed with previously imported data. Currently it simply returns the values from `plot` / 2. The data is rendered in the main graph in red without fill, and without an indicator for the present. Rationale: imported data will not continue to grow so there is no projection forward, only backwards. * Hook imported GA data to dashboard timeseries plot * Add settings option to forget imported data * Import sources from google analytics * Merge imported sources when queried * Merge imported source data native data when querying sources * Start converting metrics to atoms so they can be subqueried This changes "visitors" and in some places "sources" to atoms. This does not change the behaviour of the functions - the tests all pass unchanged following this commit. This is necessary as joining subqueries requires that the keys in `select` statements be atoms and not strings. * Convery GA (direct) source to empty string * Import utm campaign and utm medium from GA * format * Import all data types from GA into new tables * Handle large amounts of more data more safely * Fix some mistakes in tables * Make GA requests in chunks of 5 queries * Only display imported timeseries when there is no filter * Correctly show last 30 minutes timeseries when 'realtime' * Add with_imported key to Query struct * Account for injected :is_not filter on sources from dashboard * Also add tentative imported_utm_sources table This needs a bit more work on the google import side, as GA do not report sources and utm sources as distinct things. * Return imported data to dashboard for rest of Sources panel This extends the merge_imported function definition for sources to utm_sources, utm_mediums and utm_campaigns too. This appears to be working on the DB side but something is incomplete on the client side. * Clear imported stats from all tables when requested * Merge entry pages and exit pages from imported data into unfiltered dashboard view This requires converting the `"visits"` and `"visit_duration"` metrics to atoms so that they can be used in ecto subqueries. * Display imported devices, browsers and OSs on dashboard * Display imported country data on dashboard * Add more metrics to entries/exits for modals * make sure data is returned via API with correct keys * Import regions and cities from GA * Capitalize device upon import to match native data * Leave query limits/offsets until after possibly joining with imported data * Also import timeOnPage and pageviews for pages from GA * imported_countries -> imported_locations * Get timeOnPage and pageviews for pages from GA These are needed for the pages modal, and for calculating exit rates for exit pages. * Add indicator to dashboard when imported data is being used * Don't show imported data as separately line on main graph * "bounce_rate" -> :bounce_rate, so it works in subqueries * Drop imported browser and OS versions These are not needed. * Toggle displaying imported data by clicking indicator * Parse referrers with RefInspector - Use 'ga:fullReferrer' instead of 'ga:source'. This provides the actual referrer host + path, whereas 'ga:source' includes utm_mediums and other values when relevant. - 'ga:fullReferror' does however include search engine names directly, so they are manually checked for as RefInspector won't pick up on these. * Keep imported data indicator on dashboard and strikethrough when hidden * Add unlink google button to import panel * Rename some GA browsers and OSes to plausible versions * Get main top pages and exit pages panels working correctly with imported data * mix format * Fetch time_on_pages for imported data when needed * entry pages need to fetch bounces from GA * "sample_percent" -> :sample_percent as only atoms can be used in subqueries * Calculate bounce_rate for joined native and imported data for top pages modal * Flip some query bindings around to be less misleading * Fixup entry page modal visit durations * mix format * Fetch bounces and visit_duration for sources from GA * add more source metrics used for data in modals * Make sources modals display correct values * imported_visitors: bounce_rate -> bounces, avg_visit_duration -> visit_duration * Merge imported data into aggregate stats * Reformat top graph side icons * Ensure sample_percent is yielded from aggregate data * filter event_props should be strings * Hide imported data from frontend when using filter * Fix existing tests * fix tests * Fix imported indicator appearing when filtering * comma needed, lost when rebasing * Import utm_terms and utm_content from GA * Merge imported utm_term and utm_content * Rename imported Countries data as Locations * Set imported city schema field to int * Remove utm_terms and utm_content when clearing imported * Clean locations import from Google Analytics - Country and region should be set to "" when GA provides "(not set)" - City should be set to 0 for "unknown", as we cannot reliably import city data from GA. * Display imported region and city in dashboard * os -> operating_system in some parts of code The inconsistency of using os in some places and operating_system in others causes trouble with subqueries and joins for the native and imported data, which would require additional logic to account for. The simplest solution is the just use a consistent word for all uses. This doesn't make any user-facing or database changes. * to_atom -> to_existing_atom * format * "events" metric -> :events * ignore imported data when "events" in metrics * update "bounce_rate" * atomise some more metrics from new city and region api * atomise some more metrics for email handlers * "conversion_rate" -> :conversion_rate during csv export * Move imported data stats code to own module * Move imported timeseries function to Stats.Imported * Use Timex.parse to import dates from GA * has_imported_stats -> imported_source * "time_on_page" -> :time_on_page * Convert imported GA data to UTC * Clean up GA request code a bit There was some weird logic here with two separate lists that really ought to be together, so this merges those. * Fail sooner if GA timezone can't be identified * Link imported tables to site by id * imported_utm_content -> imported_utm_contents * Imported GA from all of time * Reorganise GA data fetch logic - Fetch data from the start of time (2005) - Check whether no data was fetched, and if so, inform user and don't consider data to be imported. * Clarify removal of "visits" data when it isn't in metrics * Apply location filters from API This makes it consistent with the sources etc which filter out 'Direct / None' on the API side. These filters are used by both the native and imported data handling code, which would otherwise both duplicate the filters in their `where` clauses. * Do not use changeset for setting site.imported_source * Add all metrics to all dimensions * Run GA import in the background * Send email when GA import completes * Add handler to insert imported data into tests and imported_browsers_factory * Add remaining import data test factories * Add imported location data to test * Test main graph with imported data * Add imported data to operating systems tests * Add imported data to pages tests * Add imported data to entry pages tests * Add imported data to exit pages tests * Add imported data to devices tests * Add imported data to sources tests * Add imported data to UTM tests * Add new test module for the data import step * Test import of sources GA data * Test import of utm_mediums GA data * Test import of utm_campaigns GA data * Add tests for UTM terms * Add tests for UTM contents * Add test for importing pages and entry pages data from GA * Add test for importing exit page data * Fix module file name typo * Add test for importing location data from GA * Add test for importing devices data from GA * Add test for importing browsers data from GA * Add test for importing OS data from GA * Paginate GA requests to download all data * Bump clickhouse_ecto version * Move RefInspector wrapper function into module * Drop timezone transform on import * Order imported by side_id then date * More strings -> atoms Also changes a conditional to be a bit nicer * Remove parallelisation of data import * Split sources and UTM sources from fetched GA data GA has only a "source" dimension and no "UTM source" dimension. Instead it returns these combined. The logic herein to tease these apart is: 1. "(direct)" -> it's a direct source 2. if the source is a domain -> it's a source 3. "google" -> it's from adwords; let's make this a UTM source "adwords" 4. else -> just a UTM source * Keep prop names in queries as strings * fix typo * Fix import * Insert data to clickhouse in batches * Fix link when removing imported data * Merge source tables * Import hostname as well as pathname * Record start and end time of imported data * Track import progress * Fix month interval with imported data * Do not JOIN when imported date range has no overlap * Fix time on page using exits Co-authored-by: mcol <mcol@posteo.net>
2022-03-11 00:04:59 +03:00
api_stub
)
assert Repo.reload!(site).imported_data.status == "error"
end
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test "clears any orphaned data during import" do
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user = insert(:user, trial_expiry_date: Timex.today() |> Timex.shift(days: 1))
site = insert(:site, members: [user], imported_data: @imported_data)
populate_stats(site, [
build(:imported_visitors, pageviews: 10)
])
api_stub =
stub(Plausible.Google.Api, :import_analytics, fn _site,
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_date_range,
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_view_id,
_access_token ->
{:error, "Something went wrong"}
end)
ImportGoogleAnalytics.perform(
%Oban.Job{
args: %{
"site_id" => site.id,
"view_id" => "view_id",
"start_date" => "2020-01-01",
"end_date" => "2022-01-01",
"access_token" => "token"
}
},
api_stub
)
assert Plausible.Stats.Clickhouse.imported_pageview_count(site) == 0
end
[Continued] Google Analytics import (#1753) * Add has_imported_stats boolean to Site * Add Google Analytics import panel to general settings * Get GA profiles to display in import settings panel * Add import_from_google method as entrypoint to import data * Add imported_visitors table * Remove conflicting code from migration * Import visitors data into clickhouse database * Pass another dataset to main graph for rendering in red This adds another entry to the JSON data returned via the main graph API called `imported_plot`, which is similar to `plot` in form but will be completed with previously imported data. Currently it simply returns the values from `plot` / 2. The data is rendered in the main graph in red without fill, and without an indicator for the present. Rationale: imported data will not continue to grow so there is no projection forward, only backwards. * Hook imported GA data to dashboard timeseries plot * Add settings option to forget imported data * Import sources from google analytics * Merge imported sources when queried * Merge imported source data native data when querying sources * Start converting metrics to atoms so they can be subqueried This changes "visitors" and in some places "sources" to atoms. This does not change the behaviour of the functions - the tests all pass unchanged following this commit. This is necessary as joining subqueries requires that the keys in `select` statements be atoms and not strings. * Convery GA (direct) source to empty string * Import utm campaign and utm medium from GA * format * Import all data types from GA into new tables * Handle large amounts of more data more safely * Fix some mistakes in tables * Make GA requests in chunks of 5 queries * Only display imported timeseries when there is no filter * Correctly show last 30 minutes timeseries when 'realtime' * Add with_imported key to Query struct * Account for injected :is_not filter on sources from dashboard * Also add tentative imported_utm_sources table This needs a bit more work on the google import side, as GA do not report sources and utm sources as distinct things. * Return imported data to dashboard for rest of Sources panel This extends the merge_imported function definition for sources to utm_sources, utm_mediums and utm_campaigns too. This appears to be working on the DB side but something is incomplete on the client side. * Clear imported stats from all tables when requested * Merge entry pages and exit pages from imported data into unfiltered dashboard view This requires converting the `"visits"` and `"visit_duration"` metrics to atoms so that they can be used in ecto subqueries. * Display imported devices, browsers and OSs on dashboard * Display imported country data on dashboard * Add more metrics to entries/exits for modals * make sure data is returned via API with correct keys * Import regions and cities from GA * Capitalize device upon import to match native data * Leave query limits/offsets until after possibly joining with imported data * Also import timeOnPage and pageviews for pages from GA * imported_countries -> imported_locations * Get timeOnPage and pageviews for pages from GA These are needed for the pages modal, and for calculating exit rates for exit pages. * Add indicator to dashboard when imported data is being used * Don't show imported data as separately line on main graph * "bounce_rate" -> :bounce_rate, so it works in subqueries * Drop imported browser and OS versions These are not needed. * Toggle displaying imported data by clicking indicator * Parse referrers with RefInspector - Use 'ga:fullReferrer' instead of 'ga:source'. This provides the actual referrer host + path, whereas 'ga:source' includes utm_mediums and other values when relevant. - 'ga:fullReferror' does however include search engine names directly, so they are manually checked for as RefInspector won't pick up on these. * Keep imported data indicator on dashboard and strikethrough when hidden * Add unlink google button to import panel * Rename some GA browsers and OSes to plausible versions * Get main top pages and exit pages panels working correctly with imported data * mix format * Fetch time_on_pages for imported data when needed * entry pages need to fetch bounces from GA * "sample_percent" -> :sample_percent as only atoms can be used in subqueries * Calculate bounce_rate for joined native and imported data for top pages modal * Flip some query bindings around to be less misleading * Fixup entry page modal visit durations * mix format * Fetch bounces and visit_duration for sources from GA * add more source metrics used for data in modals * Make sources modals display correct values * imported_visitors: bounce_rate -> bounces, avg_visit_duration -> visit_duration * Merge imported data into aggregate stats * Reformat top graph side icons * Ensure sample_percent is yielded from aggregate data * filter event_props should be strings * Hide imported data from frontend when using filter * Fix existing tests * fix tests * Fix imported indicator appearing when filtering * comma needed, lost when rebasing * Import utm_terms and utm_content from GA * Merge imported utm_term and utm_content * Rename imported Countries data as Locations * Set imported city schema field to int * Remove utm_terms and utm_content when clearing imported * Clean locations import from Google Analytics - Country and region should be set to "" when GA provides "(not set)" - City should be set to 0 for "unknown", as we cannot reliably import city data from GA. * Display imported region and city in dashboard * os -> operating_system in some parts of code The inconsistency of using os in some places and operating_system in others causes trouble with subqueries and joins for the native and imported data, which would require additional logic to account for. The simplest solution is the just use a consistent word for all uses. This doesn't make any user-facing or database changes. * to_atom -> to_existing_atom * format * "events" metric -> :events * ignore imported data when "events" in metrics * update "bounce_rate" * atomise some more metrics from new city and region api * atomise some more metrics for email handlers * "conversion_rate" -> :conversion_rate during csv export * Move imported data stats code to own module * Move imported timeseries function to Stats.Imported * Use Timex.parse to import dates from GA * has_imported_stats -> imported_source * "time_on_page" -> :time_on_page * Convert imported GA data to UTC * Clean up GA request code a bit There was some weird logic here with two separate lists that really ought to be together, so this merges those. * Fail sooner if GA timezone can't be identified * Link imported tables to site by id * imported_utm_content -> imported_utm_contents * Imported GA from all of time * Reorganise GA data fetch logic - Fetch data from the start of time (2005) - Check whether no data was fetched, and if so, inform user and don't consider data to be imported. * Clarify removal of "visits" data when it isn't in metrics * Apply location filters from API This makes it consistent with the sources etc which filter out 'Direct / None' on the API side. These filters are used by both the native and imported data handling code, which would otherwise both duplicate the filters in their `where` clauses. * Do not use changeset for setting site.imported_source * Add all metrics to all dimensions * Run GA import in the background * Send email when GA import completes * Add handler to insert imported data into tests and imported_browsers_factory * Add remaining import data test factories * Add imported location data to test * Test main graph with imported data * Add imported data to operating systems tests * Add imported data to pages tests * Add imported data to entry pages tests * Add imported data to exit pages tests * Add imported data to devices tests * Add imported data to sources tests * Add imported data to UTM tests * Add new test module for the data import step * Test import of sources GA data * Test import of utm_mediums GA data * Test import of utm_campaigns GA data * Add tests for UTM terms * Add tests for UTM contents * Add test for importing pages and entry pages data from GA * Add test for importing exit page data * Fix module file name typo * Add test for importing location data from GA * Add test for importing devices data from GA * Add test for importing browsers data from GA * Add test for importing OS data from GA * Paginate GA requests to download all data * Bump clickhouse_ecto version * Move RefInspector wrapper function into module * Drop timezone transform on import * Order imported by side_id then date * More strings -> atoms Also changes a conditional to be a bit nicer * Remove parallelisation of data import * Split sources and UTM sources from fetched GA data GA has only a "source" dimension and no "UTM source" dimension. Instead it returns these combined. The logic herein to tease these apart is: 1. "(direct)" -> it's a direct source 2. if the source is a domain -> it's a source 3. "google" -> it's from adwords; let's make this a UTM source "adwords" 4. else -> just a UTM source * Keep prop names in queries as strings * fix typo * Fix import * Insert data to clickhouse in batches * Fix link when removing imported data * Merge source tables * Import hostname as well as pathname * Record start and end time of imported data * Track import progress * Fix month interval with imported data * Do not JOIN when imported date range has no overlap * Fix time on page using exits Co-authored-by: mcol <mcol@posteo.net>
2022-03-11 00:04:59 +03:00
test "sends email to owner after failed import" do
user = insert(:user, trial_expiry_date: Timex.today() |> Timex.shift(days: 1))
site = insert(:site, members: [user], imported_data: @imported_data)
api_stub =
stub(Plausible.Google.Api, :import_analytics, fn _site,
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_date_range,
_view_id,
_access_token ->
[Continued] Google Analytics import (#1753) * Add has_imported_stats boolean to Site * Add Google Analytics import panel to general settings * Get GA profiles to display in import settings panel * Add import_from_google method as entrypoint to import data * Add imported_visitors table * Remove conflicting code from migration * Import visitors data into clickhouse database * Pass another dataset to main graph for rendering in red This adds another entry to the JSON data returned via the main graph API called `imported_plot`, which is similar to `plot` in form but will be completed with previously imported data. Currently it simply returns the values from `plot` / 2. The data is rendered in the main graph in red without fill, and without an indicator for the present. Rationale: imported data will not continue to grow so there is no projection forward, only backwards. * Hook imported GA data to dashboard timeseries plot * Add settings option to forget imported data * Import sources from google analytics * Merge imported sources when queried * Merge imported source data native data when querying sources * Start converting metrics to atoms so they can be subqueried This changes "visitors" and in some places "sources" to atoms. This does not change the behaviour of the functions - the tests all pass unchanged following this commit. This is necessary as joining subqueries requires that the keys in `select` statements be atoms and not strings. * Convery GA (direct) source to empty string * Import utm campaign and utm medium from GA * format * Import all data types from GA into new tables * Handle large amounts of more data more safely * Fix some mistakes in tables * Make GA requests in chunks of 5 queries * Only display imported timeseries when there is no filter * Correctly show last 30 minutes timeseries when 'realtime' * Add with_imported key to Query struct * Account for injected :is_not filter on sources from dashboard * Also add tentative imported_utm_sources table This needs a bit more work on the google import side, as GA do not report sources and utm sources as distinct things. * Return imported data to dashboard for rest of Sources panel This extends the merge_imported function definition for sources to utm_sources, utm_mediums and utm_campaigns too. This appears to be working on the DB side but something is incomplete on the client side. * Clear imported stats from all tables when requested * Merge entry pages and exit pages from imported data into unfiltered dashboard view This requires converting the `"visits"` and `"visit_duration"` metrics to atoms so that they can be used in ecto subqueries. * Display imported devices, browsers and OSs on dashboard * Display imported country data on dashboard * Add more metrics to entries/exits for modals * make sure data is returned via API with correct keys * Import regions and cities from GA * Capitalize device upon import to match native data * Leave query limits/offsets until after possibly joining with imported data * Also import timeOnPage and pageviews for pages from GA * imported_countries -> imported_locations * Get timeOnPage and pageviews for pages from GA These are needed for the pages modal, and for calculating exit rates for exit pages. * Add indicator to dashboard when imported data is being used * Don't show imported data as separately line on main graph * "bounce_rate" -> :bounce_rate, so it works in subqueries * Drop imported browser and OS versions These are not needed. * Toggle displaying imported data by clicking indicator * Parse referrers with RefInspector - Use 'ga:fullReferrer' instead of 'ga:source'. This provides the actual referrer host + path, whereas 'ga:source' includes utm_mediums and other values when relevant. - 'ga:fullReferror' does however include search engine names directly, so they are manually checked for as RefInspector won't pick up on these. * Keep imported data indicator on dashboard and strikethrough when hidden * Add unlink google button to import panel * Rename some GA browsers and OSes to plausible versions * Get main top pages and exit pages panels working correctly with imported data * mix format * Fetch time_on_pages for imported data when needed * entry pages need to fetch bounces from GA * "sample_percent" -> :sample_percent as only atoms can be used in subqueries * Calculate bounce_rate for joined native and imported data for top pages modal * Flip some query bindings around to be less misleading * Fixup entry page modal visit durations * mix format * Fetch bounces and visit_duration for sources from GA * add more source metrics used for data in modals * Make sources modals display correct values * imported_visitors: bounce_rate -> bounces, avg_visit_duration -> visit_duration * Merge imported data into aggregate stats * Reformat top graph side icons * Ensure sample_percent is yielded from aggregate data * filter event_props should be strings * Hide imported data from frontend when using filter * Fix existing tests * fix tests * Fix imported indicator appearing when filtering * comma needed, lost when rebasing * Import utm_terms and utm_content from GA * Merge imported utm_term and utm_content * Rename imported Countries data as Locations * Set imported city schema field to int * Remove utm_terms and utm_content when clearing imported * Clean locations import from Google Analytics - Country and region should be set to "" when GA provides "(not set)" - City should be set to 0 for "unknown", as we cannot reliably import city data from GA. * Display imported region and city in dashboard * os -> operating_system in some parts of code The inconsistency of using os in some places and operating_system in others causes trouble with subqueries and joins for the native and imported data, which would require additional logic to account for. The simplest solution is the just use a consistent word for all uses. This doesn't make any user-facing or database changes. * to_atom -> to_existing_atom * format * "events" metric -> :events * ignore imported data when "events" in metrics * update "bounce_rate" * atomise some more metrics from new city and region api * atomise some more metrics for email handlers * "conversion_rate" -> :conversion_rate during csv export * Move imported data stats code to own module * Move imported timeseries function to Stats.Imported * Use Timex.parse to import dates from GA * has_imported_stats -> imported_source * "time_on_page" -> :time_on_page * Convert imported GA data to UTC * Clean up GA request code a bit There was some weird logic here with two separate lists that really ought to be together, so this merges those. * Fail sooner if GA timezone can't be identified * Link imported tables to site by id * imported_utm_content -> imported_utm_contents * Imported GA from all of time * Reorganise GA data fetch logic - Fetch data from the start of time (2005) - Check whether no data was fetched, and if so, inform user and don't consider data to be imported. * Clarify removal of "visits" data when it isn't in metrics * Apply location filters from API This makes it consistent with the sources etc which filter out 'Direct / None' on the API side. These filters are used by both the native and imported data handling code, which would otherwise both duplicate the filters in their `where` clauses. * Do not use changeset for setting site.imported_source * Add all metrics to all dimensions * Run GA import in the background * Send email when GA import completes * Add handler to insert imported data into tests and imported_browsers_factory * Add remaining import data test factories * Add imported location data to test * Test main graph with imported data * Add imported data to operating systems tests * Add imported data to pages tests * Add imported data to entry pages tests * Add imported data to exit pages tests * Add imported data to devices tests * Add imported data to sources tests * Add imported data to UTM tests * Add new test module for the data import step * Test import of sources GA data * Test import of utm_mediums GA data * Test import of utm_campaigns GA data * Add tests for UTM terms * Add tests for UTM contents * Add test for importing pages and entry pages data from GA * Add test for importing exit page data * Fix module file name typo * Add test for importing location data from GA * Add test for importing devices data from GA * Add test for importing browsers data from GA * Add test for importing OS data from GA * Paginate GA requests to download all data * Bump clickhouse_ecto version * Move RefInspector wrapper function into module * Drop timezone transform on import * Order imported by side_id then date * More strings -> atoms Also changes a conditional to be a bit nicer * Remove parallelisation of data import * Split sources and UTM sources from fetched GA data GA has only a "source" dimension and no "UTM source" dimension. Instead it returns these combined. The logic herein to tease these apart is: 1. "(direct)" -> it's a direct source 2. if the source is a domain -> it's a source 3. "google" -> it's from adwords; let's make this a UTM source "adwords" 4. else -> just a UTM source * Keep prop names in queries as strings * fix typo * Fix import * Insert data to clickhouse in batches * Fix link when removing imported data * Merge source tables * Import hostname as well as pathname * Record start and end time of imported data * Track import progress * Fix month interval with imported data * Do not JOIN when imported date range has no overlap * Fix time on page using exits Co-authored-by: mcol <mcol@posteo.net>
2022-03-11 00:04:59 +03:00
{:error, "Something went wrong"}
end)
ImportGoogleAnalytics.perform(
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%Oban.Job{
args: %{
"site_id" => site.id,
"view_id" => "view_id",
"start_date" => "2020-01-01",
"end_date" => "2022-01-01",
"access_token" => "token"
}
2022-03-21 13:55:20 +03:00
},
[Continued] Google Analytics import (#1753) * Add has_imported_stats boolean to Site * Add Google Analytics import panel to general settings * Get GA profiles to display in import settings panel * Add import_from_google method as entrypoint to import data * Add imported_visitors table * Remove conflicting code from migration * Import visitors data into clickhouse database * Pass another dataset to main graph for rendering in red This adds another entry to the JSON data returned via the main graph API called `imported_plot`, which is similar to `plot` in form but will be completed with previously imported data. Currently it simply returns the values from `plot` / 2. The data is rendered in the main graph in red without fill, and without an indicator for the present. Rationale: imported data will not continue to grow so there is no projection forward, only backwards. * Hook imported GA data to dashboard timeseries plot * Add settings option to forget imported data * Import sources from google analytics * Merge imported sources when queried * Merge imported source data native data when querying sources * Start converting metrics to atoms so they can be subqueried This changes "visitors" and in some places "sources" to atoms. This does not change the behaviour of the functions - the tests all pass unchanged following this commit. This is necessary as joining subqueries requires that the keys in `select` statements be atoms and not strings. * Convery GA (direct) source to empty string * Import utm campaign and utm medium from GA * format * Import all data types from GA into new tables * Handle large amounts of more data more safely * Fix some mistakes in tables * Make GA requests in chunks of 5 queries * Only display imported timeseries when there is no filter * Correctly show last 30 minutes timeseries when 'realtime' * Add with_imported key to Query struct * Account for injected :is_not filter on sources from dashboard * Also add tentative imported_utm_sources table This needs a bit more work on the google import side, as GA do not report sources and utm sources as distinct things. * Return imported data to dashboard for rest of Sources panel This extends the merge_imported function definition for sources to utm_sources, utm_mediums and utm_campaigns too. This appears to be working on the DB side but something is incomplete on the client side. * Clear imported stats from all tables when requested * Merge entry pages and exit pages from imported data into unfiltered dashboard view This requires converting the `"visits"` and `"visit_duration"` metrics to atoms so that they can be used in ecto subqueries. * Display imported devices, browsers and OSs on dashboard * Display imported country data on dashboard * Add more metrics to entries/exits for modals * make sure data is returned via API with correct keys * Import regions and cities from GA * Capitalize device upon import to match native data * Leave query limits/offsets until after possibly joining with imported data * Also import timeOnPage and pageviews for pages from GA * imported_countries -> imported_locations * Get timeOnPage and pageviews for pages from GA These are needed for the pages modal, and for calculating exit rates for exit pages. * Add indicator to dashboard when imported data is being used * Don't show imported data as separately line on main graph * "bounce_rate" -> :bounce_rate, so it works in subqueries * Drop imported browser and OS versions These are not needed. * Toggle displaying imported data by clicking indicator * Parse referrers with RefInspector - Use 'ga:fullReferrer' instead of 'ga:source'. This provides the actual referrer host + path, whereas 'ga:source' includes utm_mediums and other values when relevant. - 'ga:fullReferror' does however include search engine names directly, so they are manually checked for as RefInspector won't pick up on these. * Keep imported data indicator on dashboard and strikethrough when hidden * Add unlink google button to import panel * Rename some GA browsers and OSes to plausible versions * Get main top pages and exit pages panels working correctly with imported data * mix format * Fetch time_on_pages for imported data when needed * entry pages need to fetch bounces from GA * "sample_percent" -> :sample_percent as only atoms can be used in subqueries * Calculate bounce_rate for joined native and imported data for top pages modal * Flip some query bindings around to be less misleading * Fixup entry page modal visit durations * mix format * Fetch bounces and visit_duration for sources from GA * add more source metrics used for data in modals * Make sources modals display correct values * imported_visitors: bounce_rate -> bounces, avg_visit_duration -> visit_duration * Merge imported data into aggregate stats * Reformat top graph side icons * Ensure sample_percent is yielded from aggregate data * filter event_props should be strings * Hide imported data from frontend when using filter * Fix existing tests * fix tests * Fix imported indicator appearing when filtering * comma needed, lost when rebasing * Import utm_terms and utm_content from GA * Merge imported utm_term and utm_content * Rename imported Countries data as Locations * Set imported city schema field to int * Remove utm_terms and utm_content when clearing imported * Clean locations import from Google Analytics - Country and region should be set to "" when GA provides "(not set)" - City should be set to 0 for "unknown", as we cannot reliably import city data from GA. * Display imported region and city in dashboard * os -> operating_system in some parts of code The inconsistency of using os in some places and operating_system in others causes trouble with subqueries and joins for the native and imported data, which would require additional logic to account for. The simplest solution is the just use a consistent word for all uses. This doesn't make any user-facing or database changes. * to_atom -> to_existing_atom * format * "events" metric -> :events * ignore imported data when "events" in metrics * update "bounce_rate" * atomise some more metrics from new city and region api * atomise some more metrics for email handlers * "conversion_rate" -> :conversion_rate during csv export * Move imported data stats code to own module * Move imported timeseries function to Stats.Imported * Use Timex.parse to import dates from GA * has_imported_stats -> imported_source * "time_on_page" -> :time_on_page * Convert imported GA data to UTC * Clean up GA request code a bit There was some weird logic here with two separate lists that really ought to be together, so this merges those. * Fail sooner if GA timezone can't be identified * Link imported tables to site by id * imported_utm_content -> imported_utm_contents * Imported GA from all of time * Reorganise GA data fetch logic - Fetch data from the start of time (2005) - Check whether no data was fetched, and if so, inform user and don't consider data to be imported. * Clarify removal of "visits" data when it isn't in metrics * Apply location filters from API This makes it consistent with the sources etc which filter out 'Direct / None' on the API side. These filters are used by both the native and imported data handling code, which would otherwise both duplicate the filters in their `where` clauses. * Do not use changeset for setting site.imported_source * Add all metrics to all dimensions * Run GA import in the background * Send email when GA import completes * Add handler to insert imported data into tests and imported_browsers_factory * Add remaining import data test factories * Add imported location data to test * Test main graph with imported data * Add imported data to operating systems tests * Add imported data to pages tests * Add imported data to entry pages tests * Add imported data to exit pages tests * Add imported data to devices tests * Add imported data to sources tests * Add imported data to UTM tests * Add new test module for the data import step * Test import of sources GA data * Test import of utm_mediums GA data * Test import of utm_campaigns GA data * Add tests for UTM terms * Add tests for UTM contents * Add test for importing pages and entry pages data from GA * Add test for importing exit page data * Fix module file name typo * Add test for importing location data from GA * Add test for importing devices data from GA * Add test for importing browsers data from GA * Add test for importing OS data from GA * Paginate GA requests to download all data * Bump clickhouse_ecto version * Move RefInspector wrapper function into module * Drop timezone transform on import * Order imported by side_id then date * More strings -> atoms Also changes a conditional to be a bit nicer * Remove parallelisation of data import * Split sources and UTM sources from fetched GA data GA has only a "source" dimension and no "UTM source" dimension. Instead it returns these combined. The logic herein to tease these apart is: 1. "(direct)" -> it's a direct source 2. if the source is a domain -> it's a source 3. "google" -> it's from adwords; let's make this a UTM source "adwords" 4. else -> just a UTM source * Keep prop names in queries as strings * fix typo * Fix import * Insert data to clickhouse in batches * Fix link when removing imported data * Merge source tables * Import hostname as well as pathname * Record start and end time of imported data * Track import progress * Fix month interval with imported data * Do not JOIN when imported date range has no overlap * Fix time on page using exits Co-authored-by: mcol <mcol@posteo.net>
2022-03-11 00:04:59 +03:00
api_stub
)
assert_email_delivered_with(
to: [user],
subject: "Google Analytics import failed for #{site.domain}"
)
end
end