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e27734ed79
* 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>
85 lines
3.1 KiB
Elixir
85 lines
3.1 KiB
Elixir
defmodule Plausible.Workers.SendEmailReport do
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use Plausible.Repo
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use Oban.Worker, queue: :send_email_reports, max_attempts: 1
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alias Plausible.Stats.Query
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alias Plausible.Stats
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@impl Oban.Worker
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def perform(%Oban.Job{args: %{"interval" => "weekly", "site_id" => site_id}}) do
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site = Repo.get(Plausible.Site, site_id) |> Repo.preload(:weekly_report)
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today = Timex.now(site.timezone) |> DateTime.to_date()
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date = Timex.shift(today, weeks: -1) |> Timex.end_of_week() |> Date.to_iso8601()
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query = Query.from(site, %{"period" => "7d", "date" => date})
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for email <- site.weekly_report.recipients do
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unsubscribe_link =
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PlausibleWeb.Endpoint.url() <>
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"/sites/#{URI.encode_www_form(site.domain)}/weekly-report/unsubscribe?email=#{email}"
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send_report(email, site, "Weekly", unsubscribe_link, query)
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end
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:ok
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end
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@impl Oban.Worker
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def perform(%Oban.Job{args: %{"interval" => "monthly", "site_id" => site_id}}) do
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site = Repo.get(Plausible.Site, site_id) |> Repo.preload(:monthly_report)
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last_month =
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Timex.now(site.timezone)
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|> Timex.shift(months: -1)
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|> Timex.beginning_of_month()
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query =
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Query.from(site, %{
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"period" => "month",
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"date" => Timex.format!(last_month, "{ISOdate}")
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})
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for email <- site.monthly_report.recipients do
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unsubscribe_link =
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PlausibleWeb.Endpoint.url() <>
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"/sites/#{URI.encode_www_form(site.domain)}/monthly-report/unsubscribe?email=#{email}"
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send_report(email, site, Timex.format!(last_month, "{Mfull}"), unsubscribe_link, query)
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end
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:ok
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end
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defp send_report(email, site, name, unsubscribe_link, query) do
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prev_query = Query.shift_back(query, site)
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curr_period = Stats.aggregate(site, query, [:pageviews, :visitors, :bounce_rate])
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prev_period = Stats.aggregate(site, prev_query, [:pageviews, :visitors, :bounce_rate])
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change_pageviews = Stats.Compare.calculate_change(:pageviews, prev_period, curr_period)
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change_visitors = Stats.Compare.calculate_change(:visitors, prev_period, curr_period)
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change_bounce_rate = Stats.Compare.calculate_change(:bounce_rate, prev_period, curr_period)
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source_query = Query.put_filter(query, "visit:source", {:is_not, "Direct / None"})
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sources = Stats.breakdown(site, source_query, "visit:source", [:visitors], {5, 1})
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pages = Stats.breakdown(site, query, "event:page", [:visitors], {5, 1})
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user = Plausible.Auth.find_user_by(email: email)
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login_link = user && Plausible.Sites.is_member?(user.id, site)
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template =
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PlausibleWeb.Email.weekly_report(email, site,
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unique_visitors: curr_period[:visitors][:value],
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change_visitors: change_visitors,
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pageviews: curr_period[:pageviews][:value],
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change_pageviews: change_pageviews,
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bounce_rate: curr_period[:bounce_rate][:value],
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change_bounce_rate: change_bounce_rate,
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sources: sources,
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unsubscribe_link: unsubscribe_link,
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login_link: login_link,
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pages: pages,
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query: query,
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name: name
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)
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Plausible.Mailer.send_email_safe(template)
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end
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end
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