mirror of
https://github.com/plausible/analytics.git
synced 2024-12-22 09:01:40 +03:00
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>
232 lines
7.1 KiB
Elixir
232 lines
7.1 KiB
Elixir
defmodule PlausibleWeb.Api.ExternalStatsController do
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use PlausibleWeb, :controller
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use Plausible.Repo
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use Plug.ErrorHandler
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alias Plausible.Stats.{Query, Props}
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def realtime_visitors(conn, _params) do
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site = conn.assigns[:site]
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query = Query.from(site, %{"period" => "realtime"})
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json(conn, Plausible.Stats.Clickhouse.current_visitors(site, query))
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end
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def aggregate(conn, params) do
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site = conn.assigns[:site]
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params = Map.put(params, "sample_threshold", "infinite")
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with :ok <- validate_period(params),
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:ok <- validate_date(params),
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query <- Query.from(site, params),
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{:ok, metrics} <- parse_metrics(params, nil, query) do
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results =
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if params["compare"] == "previous_period" do
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prev_query = Query.shift_back(query, site)
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[prev_result, curr_result] =
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Task.await_many(
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[
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Task.async(fn -> Plausible.Stats.aggregate(site, prev_query, metrics) end),
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Task.async(fn -> Plausible.Stats.aggregate(site, query, metrics) end)
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],
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10_000
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)
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Enum.map(curr_result, fn {metric, %{value: current_val}} ->
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%{value: prev_val} = prev_result[metric]
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{metric,
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%{
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value: current_val,
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change: percent_change(prev_val, current_val)
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}}
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end)
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|> Enum.into(%{})
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else
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Plausible.Stats.aggregate(site, query, metrics)
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end
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json(conn, %{results: Map.take(results, metrics)})
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else
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{:error, msg} ->
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conn
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|> put_status(400)
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|> json(%{error: msg})
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end
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end
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def breakdown(conn, params) do
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site = conn.assigns[:site]
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params = Map.put(params, "sample_threshold", "infinite")
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with :ok <- validate_period(params),
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:ok <- validate_date(params),
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{:ok, property} <- validate_property(params),
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query <- Query.from(site, params),
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{:ok, metrics} <- parse_metrics(params, property, query) do
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limit = String.to_integer(Map.get(params, "limit", "100"))
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page = String.to_integer(Map.get(params, "page", "1"))
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results = Plausible.Stats.breakdown(site, query, property, metrics, {limit, page})
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results =
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if property == "event:goal" do
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prop_names = Props.props(site, query)
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Enum.map(results, fn row ->
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Map.put(row, "props", prop_names[row[:goal]] || [])
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end)
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else
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results
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end
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json(conn, %{results: results})
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else
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{:error, msg} ->
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conn
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|> put_status(400)
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|> json(%{error: msg})
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end
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end
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defp validate_property(%{"property" => property}) do
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{:ok, property}
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end
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defp validate_property(_) do
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{:error,
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"The `property` parameter is required. Please provide at least one property to show a breakdown by."}
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end
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defp event_only_property?("event:name"), do: true
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defp event_only_property?("event:props:" <> _), do: true
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defp event_only_property?(_), do: false
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@event_metrics ["visitors", "pageviews", "events"]
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@session_metrics ["visits", "bounce_rate", "visit_duration"]
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defp parse_metrics(params, property, query) do
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metrics =
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Map.get(params, "metrics", "visitors")
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|> String.split(",")
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event_only_filter = Map.keys(query.filters) |> Enum.find(&event_only_property?/1)
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valid_metrics =
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if event_only_property?(property) || event_only_filter do
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@event_metrics
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else
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@event_metrics ++ @session_metrics
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end
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invalid_metric = Enum.find(metrics, fn metric -> metric not in valid_metrics end)
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if invalid_metric do
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cond do
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event_only_property?(property) && invalid_metric in @session_metrics ->
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{:error,
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"Session metric `#{invalid_metric}` cannot be queried for breakdown by `#{property}`."}
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event_only_filter && invalid_metric in @session_metrics ->
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{:error,
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"Session metric `#{invalid_metric}` cannot be queried when using a filter on `#{event_only_filter}`."}
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true ->
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{:error,
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"The metric `#{invalid_metric}` is not recognized. Find valid metrics from the documentation: https://plausible.io/docs/stats-api#get-apiv1statsbreakdown"}
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end
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else
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{:ok, Enum.map(metrics, &String.to_atom/1)}
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end
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end
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def timeseries(conn, params) do
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site = conn.assigns[:site]
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params = Map.put(params, "sample_threshold", "infinite")
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with :ok <- validate_period(params),
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:ok <- validate_date(params),
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:ok <- validate_interval(params),
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query <- Query.from(site, params),
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{:ok, metrics} <- parse_metrics(params, nil, query) do
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graph = Plausible.Stats.timeseries(site, query, metrics)
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metrics = metrics ++ [:date]
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json(conn, %{results: Enum.map(graph, &Map.take(&1, metrics))})
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else
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{:error, msg} ->
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conn
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|> put_status(400)
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|> json(%{error: msg})
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end
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end
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def handle_errors(conn, %{kind: kind, reason: reason}) do
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json(conn, %{error: Exception.format_banner(kind, reason)})
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end
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defp percent_change(old_count, new_count) do
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cond do
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old_count == 0 and new_count > 0 ->
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100
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old_count == 0 and new_count == 0 ->
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0
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true ->
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round((new_count - old_count) / old_count * 100)
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end
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end
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defp validate_date(%{"period" => "custom"} = params) do
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with {:ok, date} <- Map.fetch(params, "date"),
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[from, to] <- String.split(date, ","),
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{:ok, _from} <- Date.from_iso8601(String.trim(from)),
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{:ok, _to} <- Date.from_iso8601(String.trim(to)) do
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:ok
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else
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:error ->
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{:error,
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"The `date` parameter is required when using a custom period. See https://plausible.io/docs/stats-api#time-periods"}
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_ ->
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{:error,
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"Invalid format for `date` parameter. When using a custom period, please include two ISO-8601 formatted dates joined by a comma. See https://plausible.io/docs/stats-api#time-periods"}
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end
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end
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defp validate_date(%{"date" => date}) do
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case Date.from_iso8601(date) do
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{:ok, _date} ->
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:ok
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{:error, msg} ->
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{:error,
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"Error parsing `date` parameter: #{msg}. Please specify a valid date in ISO-8601 format."}
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end
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end
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defp validate_date(_), do: :ok
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defp validate_period(%{"period" => period}) do
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if period in ["day", "7d", "30d", "month", "6mo", "12mo", "custom"] do
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:ok
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else
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{:error,
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"Error parsing `period` parameter: invalid period `#{period}`. Please find accepted values in our docs: https://plausible.io/docs/stats-api#time-periods"}
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end
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end
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defp validate_period(_), do: :ok
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@valid_intervals ["date", "month"]
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@valid_intervals_str Enum.map(@valid_intervals, &("`" <> &1 <> "`")) |> Enum.join(", ")
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defp validate_interval(%{"interval" => interval}) do
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if interval in @valid_intervals do
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:ok
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else
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{:error,
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"Error parsing `interval` parameter: invalid interval `#{interval}`. Valid intervals are #{@valid_intervals_str}"}
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end
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end
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defp validate_interval(_), do: :ok
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end
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