diff --git a/.github/workflows/deploy-analytics.yml b/.github/workflows/deploy-analytics.yml new file mode 100644 index 000000000..b900d412e --- /dev/null +++ b/.github/workflows/deploy-analytics.yml @@ -0,0 +1,40 @@ +name: Deploy Analytics Sites + +on: + workflow_dispatch: + push: + branches: + - main + paths: + - "gh-pages/**" + +permissions: + contents: read + pages: write + id-token: write + +concurrency: + group: "pages" + cancel-in-progress: false + +jobs: + deploy: + environment: + name: github-pages + url: ${{ steps.deployment.outputs.page_url }} + runs-on: ubuntu-latest + steps: + - name: Checkout + uses: actions/checkout@v4 + + - name: Setup Pages + uses: actions/configure-pages@v5 + + - name: Upload artifact + uses: actions/upload-pages-artifact@v3 + with: + path: "gh-pages" + + - name: Deploy to GitHub Pages + id: deployment + uses: actions/deploy-pages@v4 diff --git a/.gitignore b/.gitignore index c186b12cb..330de29b5 100644 --- a/.gitignore +++ b/.gitignore @@ -62,5 +62,10 @@ _templates #Python __pycache__/ +*.egg-info/ /analytics/**/_build +/analytics/**/site/ /analytics/venv + +# Credentials +.credentials/ diff --git a/.prettierignore b/.prettierignore index 098badc56..ce768b617 100644 --- a/.prettierignore +++ b/.prettierignore @@ -2,6 +2,7 @@ README.md /CHANGELOG.md /analytics +/gh-pages /.gitlab /reports diff --git a/analytics/analytics_package/analytics/entities.py b/analytics/analytics_package/analytics/entities.py index 76492e79f..75dffa850 100644 --- a/analytics/analytics_package/analytics/entities.py +++ b/analytics/analytics_package/analytics/entities.py @@ -132,6 +132,14 @@ "id": "pagePath", "alias": "Page Path", } +DIMENSION_PAGE_PATH_PLUS_QUERY = { + "id": "pagePathPlusQueryString", + "alias": "Page Path Plus Query String", +} +DIMENSION_FILE_NAME = { + "id": "fileName", + "alias": "File Name", +} # The url of the clicked link, only returned in EVENT_BUILTIN_CLICK. Does not include URL fragments DIMENSION_BUILTIN_URL = { "id": "linkUrl", diff --git a/analytics/analytics_package/analytics/static_site/README.md b/analytics/analytics_package/analytics/static_site/README.md new file mode 100644 index 000000000..7997b4e6c --- /dev/null +++ b/analytics/analytics_package/analytics/static_site/README.md @@ -0,0 +1,103 @@ +# Static Analytics Site Generator + +Generates static HTML dashboards from GA4 data for data-browser apps. Each app (AnVIL Explorer, AnVIL Catalog, HCA Data Explorer, LungMAP) has its own `generate_static_site.py` script that calls the shared `generate_site()` function with app-specific configuration. + +## Prerequisites + +1. **Python virtual environment**: + ``` + cd analytics + source ./venv/bin/activate + pip install -e ./analytics_package/ + ``` + +2. **OAuth credentials**: Place the GA4 OAuth client secret JSON file in `.credentials/` at the repo root: + - `.credentials/anvil_ga4_credentials.json` — AnVIL Explorer and AnVIL Catalog + - `.credentials/hca_ga4_credentials.json` — HCA Data Explorer and LungMAP + +## Generating a site + +From the app's analytics directory, run: + +``` +cd analytics +source ./venv/bin/activate +cd anvil-explorer-sheets # or anvil-catalog-sheets, hca-explorer-sheets, lungmap-analytics/sheets +python generate_static_site.py +``` + +A browser window will open for Google OAuth. After authenticating, the script fetches data from GA4 and writes the site to `./site/`. + +To view locally: + +``` +cd site && python -m http.server 8080 +``` + +Then open http://localhost:8080. + +## Updating the report month + +Each app has a `constants.py` file with `CURRENT_MONTH` (e.g., `"2026-03"`). Update this value before generating a new report. + +## Architecture + +### Shared package (`analytics/analytics_package/analytics/static_site/`) + +| File | Purpose | +|------|---------| +| `generator.py` | Orchestrates fetch, title resolution, template copy, and data export | +| `fetch.py` | Fetches GA4 data: traffic, pageviews, outbound links, filter selections, sessions, engagement rate, custom events, file downloads, and access requests | +| `export.py` | Exports DataFrames and dicts to JSON files in `site/data/` | +| `resolve.py` | Resolves entity UUIDs to titles via catalog APIs (AnVIL, HCA/LungMAP Azul) | +| `template/index.html` | Config-driven HTML template with Chart.js charts and data tables | + +### Per-app scripts + +| App | Script | Credentials | Catalog API | +|-----|--------|-------------|-------------| +| AnVIL Explorer | `anvil-explorer-sheets/generate_static_site.py` | `anvil_ga4_credentials.json` | `service.explore.anvilproject.org/index/datasets` | +| AnVIL Catalog | `anvil-catalog-sheets/generate_static_site.py` | `anvil_ga4_credentials.json` | — | +| HCA Data Explorer | `hca-explorer-sheets/generate_static_site.py` | `hca_ga4_credentials.json` | `service.azul.data.humancellatlas.org/index/projects` | +| LungMAP | `lungmap-analytics/sheets/generate_static_site.py` | `hca_ga4_credentials.json` | `service.azul.data.humancellatlas.org/index/projects` (catalog=lm10) | + +### Configuration + +Each script passes a `config` dict and additional `generate_site()` parameters: + +**Config dict** (controls branding and dashboard features): +- `site_title` — page heading and browser title +- `logo_url`, `logo_link`, `favicon_url` — header branding +- `primary_color`, `primary_color_dark` — theme colors +- `entity_label`, `entity_path` — entity type label ("Dataset" or "Project") and URL path prefix +- `summary_stats` — top-level stat cards aggregating multiple events +- `event_counts` — key metric count cards with labels (supports `\n` for line breaks) +- `file_downloads_position` — position of the file downloads card within detail tables + +**`generate_site()` parameters** (passed alongside config): +- `custom_events` — list of GA4 events to track, with optional `detail_table`, `page_path_regex`, and `key` for disambiguation +- `access_request_urls` — URL patterns for tracking outbound access requests (AnVIL only) +- `title_resolver` — callback to enrich detail records with entity titles +- `historic_data_path` — path to pre-GA4 data (optional) + +### Title resolution + +For apps with dataset/project detail tables, a `title_resolver` callback enriches records with human-readable names by querying the app's catalog API. This happens in-memory before data is written to disk. + +### Output structure + +``` +site/ +├── index.html # Dashboard (copied from template) +└── data/ + ├── config.json + ├── meta.json + ├── monthly_traffic.json + ├── pageviews.json + ├── outbound_links.json + ├── filter_selected.json + ├── file_downloads.json + ├── custom_events.json + ├── access_requests.json # AnVIL only + └── event_*_detail.json # Per-event detail tables +``` diff --git a/analytics/analytics_package/analytics/static_site/__init__.py b/analytics/analytics_package/analytics/static_site/__init__.py new file mode 100644 index 000000000..c252d37f7 --- /dev/null +++ b/analytics/analytics_package/analytics/static_site/__init__.py @@ -0,0 +1,4 @@ +from .generator import generate_site +from .resolve import fetch_entity_title_map, enrich_detail_records + +__all__ = ["generate_site", "fetch_entity_title_map", "enrich_detail_records"] diff --git a/analytics/analytics_package/analytics/static_site/export.py b/analytics/analytics_package/analytics/static_site/export.py new file mode 100644 index 000000000..5213dbf9b --- /dev/null +++ b/analytics/analytics_package/analytics/static_site/export.py @@ -0,0 +1,193 @@ +"""Export analytics DataFrames to JSON files for the static site.""" + +import glob +import json +import os +from datetime import datetime + +import pandas as pd + +from ..entities import ( + DIMENSION_PAGE_PATH, + DIMENSION_FILTER_NAME, + DIMENSION_FILTER_VALUE, + METRIC_EVENT_COUNT, + METRIC_PAGE_VIEWS, + SYNTHETIC_DIMENSION_CLICKED_LINK, + SYNTHETIC_METRIC_CLICKS, +) +from .fetch import event_key + + +def export_df_as_json(df, col_map, change_col, filename, output_dir): + """Export a DataFrame to JSON with column renaming and NaN handling. + + Args: + df: Source DataFrame. + col_map: Dict mapping source column names to output names. + change_col: Source column name for the change metric (may be absent). + filename: Output JSON filename. + output_dir: Output directory. + """ + if df is None or len(df) == 0: + records = [] + else: + export_cols = list(col_map.keys()) + output_names = list(col_map.values()) + if change_col is not None and change_col in df.columns: + export_cols.append(change_col) + output_names.append("change") + + export = df[export_cols].copy() + export.columns = output_names + + for col in output_names: + if col != "change" and export[col].dtype != object: + export[col] = export[col].fillna(0).astype(int) + + records = export.to_dict(orient="records") + for record in records: + if pd.isna(record.get("change")): + record["change"] = None + + with open(os.path.join(output_dir, filename), "w") as f: + json.dump(records, f, indent=2) + print(f" Wrote {filename} ({len(records)} records)") + + +def export_data(data, config, current_month, analytics_start, custom_events, output_dir): + """Export all analytics data to JSON files. + + Args: + data: Dict containing DataFrames and stats from fetch_data. + config: Site config dict (title, logo, colors). + current_month: Current month string (YYYY-MM). + analytics_start: Analytics start date string. + custom_events: List of custom event dicts with results. + output_dir: Output directory for JSON files. + """ + os.makedirs(output_dir, exist_ok=True) + + for old_file in glob.glob(os.path.join(output_dir, "event_*_detail.json")): + os.remove(old_file) + + df_monthly_traffic = data["monthly_traffic"] + dates = data.get("dates", {}) + + # Monthly traffic + print("Exporting monthly traffic data...") + traffic_data = df_monthly_traffic[["Month", "Users", "Total Pageviews"]].copy() + traffic_data.columns = ["month", "users", "pageviews"] + traffic_data["month"] = traffic_data["month"].astype(str) + traffic_data["users"] = traffic_data["users"].fillna(0).astype(int) + traffic_data["pageviews"] = traffic_data["pageviews"].fillna(0).astype(int) + + with open(os.path.join(output_dir, "monthly_traffic.json"), "w") as f: + json.dump(traffic_data.to_dict(orient="records"), f, indent=2) + print(f" Wrote monthly_traffic.json ({len(traffic_data)} records)") + + # Pageviews + print("Exporting pageviews data...") + export_df_as_json( + data["pageviews"], + {DIMENSION_PAGE_PATH["alias"]: "page", METRIC_PAGE_VIEWS["alias"]: "views"}, + METRIC_PAGE_VIEWS["change_alias"], + "pageviews.json", + output_dir, + ) + + print("Exporting outbound links data...") + export_df_as_json( + data["outbound"], + {SYNTHETIC_DIMENSION_CLICKED_LINK["alias"]: "link", SYNTHETIC_METRIC_CLICKS["alias"]: "clicks"}, + SYNTHETIC_METRIC_CLICKS["change_alias"], + "outbound_links.json", + output_dir, + ) + + print("Exporting filter selections data...") + export_df_as_json( + data.get("filter_selected"), + {DIMENSION_FILTER_NAME["alias"]: "filterName", DIMENSION_FILTER_VALUE["alias"]: "filterValue", METRIC_EVENT_COUNT["alias"]: "count"}, + METRIC_EVENT_COUNT["change_alias"], + "filter_selected.json", + output_dir, + ) + + # File downloads + print("Exporting file downloads data...") + file_downloads = data.get("file_downloads", []) + with open(os.path.join(output_dir, "file_downloads.json"), "w") as f: + json.dump(file_downloads, f, indent=2) + print(f" Wrote file_downloads.json ({len(file_downloads)} records)") + + # Access requests + print("Exporting access requests data...") + access_requests = data.get("access_requests", []) + with open(os.path.join(output_dir, "access_requests.json"), "w") as f: + json.dump(access_requests, f, indent=2) + print(f" Wrote access_requests.json ({len(access_requests)} records)") + + # File download events (GA4 enhanced measurement) + print("Exporting file download events data...") + file_download_events = data.get("file_download_events", {"total": 0, "files": []}) + with open(os.path.join(output_dir, "file_download_events.json"), "w") as f: + json.dump(file_download_events, f, indent=2) + print(f" Wrote file_download_events.json ({len(file_download_events.get('files', []))} files)") + + # Search queries + print("Exporting search queries data...") + search_queries = data.get("search_queries", {"total": 0, "queries": []}) + with open(os.path.join(output_dir, "search_queries.json"), "w") as f: + json.dump(search_queries, f, indent=2) + print(f" Wrote search_queries.json ({len(search_queries.get('queries', []))} queries)") + + # Custom events + print("Exporting custom events data...") + events_output = [] + for event in custom_events: + key = event_key(event) + stats = data.get(f"event_{key}", {"current": 0, "prior": 0, "change": None}) + events_output.append({ + "event_name": key, + "label": event["label"], + **stats, + }) + + with open(os.path.join(output_dir, "custom_events.json"), "w") as f: + json.dump(events_output, f, indent=2) + print(f" Wrote custom_events.json ({len(events_output)} events)") + + # Export detail tables for events that have them + for event in custom_events: + key = event_key(event) + detail = data.get(f"event_{key}_detail") + if detail is not None: + filename = f"event_{key}_detail.json" + with open(os.path.join(output_dir, filename), "w") as f: + json.dump(detail, f, indent=2) + print(f" Wrote {filename} ({len(detail)} records)") + + # Config (for the HTML template) + print("Exporting site config...") + with open(os.path.join(output_dir, "config.json"), "w") as f: + json.dump(config, f, indent=2) + print(" Wrote config.json") + + # Metadata + print("Exporting metadata...") + meta = { + "generated_at": datetime.now().strftime("%Y-%m-%d %H:%M:%S"), + "current_month": current_month, + "current_month_start": dates.get("start_current", ""), + "current_month_end": dates.get("end_current", ""), + "prior_month_start": dates.get("start_prior", ""), + "prior_month_end": dates.get("end_prior", ""), + "analytics_start": analytics_start, + "sessions": data.get("sessions", {}), + "engagement_rate": data.get("engagement_rate", {}), + } + + with open(os.path.join(output_dir, "meta.json"), "w") as f: + json.dump(meta, f, indent=2) + print(" Wrote meta.json") diff --git a/analytics/analytics_package/analytics/static_site/fetch.py b/analytics/analytics_package/analytics/static_site/fetch.py new file mode 100644 index 000000000..9b9e94de5 --- /dev/null +++ b/analytics/analytics_package/analytics/static_site/fetch.py @@ -0,0 +1,389 @@ +"""Fetch analytics data from GA4 for the static site.""" + +import re +from urllib.parse import urlparse, parse_qs + +from .. import sheets_elements as elements +from .._sheets_utils import get_data_df_from_fields +from ..entities import ( + DIMENSION_BUILTIN_URL, + DIMENSION_FILE_NAME, + METRIC_EVENT_COUNT, + METRIC_PAGE_VIEWS, + METRIC_SESSIONS, + DIMENSION_EVENT_NAME, + DIMENSION_PAGE_PATH, + DIMENSION_PAGE_PATH_PLUS_QUERY, + DIMENSION_CUSTOM_URL, + DIMENSION_ENTITY_NAME, + DIMENSION_RELATED_ENTITY_ID, + DIMENSION_RELATED_ENTITY_NAME, +) + +METRIC_ENGAGEMENT_RATE = { + "id": "engagementRate", + "alias": "Engagement Rate", +} + + +def event_key(event): + """Return the unique key for a custom event config dict.""" + return event.get("key", event["event_name"]) + + +def _count_events(event_name, params, page_path_regex=None): + """Fetch event count, optionally filtered by page path regex.""" + dimensions = [DIMENSION_EVENT_NAME] + if page_path_regex: + dimensions.append(DIMENSION_PAGE_PATH) + + df = get_data_df_from_fields( + [METRIC_EVENT_COUNT], + dimensions, + dimension_filter=f"eventName=={event_name}", + **params, + ) + + if len(df) == 0: + return 0 + + if page_path_regex: + pattern = re.compile(page_path_regex) + mask = df[DIMENSION_PAGE_PATH["alias"]].str.match(pattern, na=False) + return int(df.loc[mask, METRIC_EVENT_COUNT["alias"]].sum()) + + return int(df[METRIC_EVENT_COUNT["alias"]].sum()) + + +def get_custom_event_change(event_name, params_current, params_prior, page_path_regex=None): + """Fetch a custom event count with month-over-month change. + + Args: + event_name: GA4 event name (e.g., "chat_submitted"). + params_current: Analytics params for the current period. + params_prior: Analytics params for the prior period. + page_path_regex: Optional regex to filter by page path. + + Returns: + Dict with "current", "prior", and "change" keys. + """ + current_count = _count_events(event_name, params_current, page_path_regex) + prior_count = _count_events(event_name, params_prior, page_path_regex) + + change = None + if prior_count > 0: + change = (current_count - prior_count) / prior_count + + return {"current": current_count, "prior": prior_count, "change": change} + + +def get_event_detail_table(event_name, params, page_path_regex=None): + """Fetch event details broken down by page path and entity name. + + Args: + event_name: GA4 event name. + params: Analytics params for the period. + page_path_regex: Optional regex to filter by page path. + + Returns: + List of dicts with "page_path", "entity_name", and "count" keys, + sorted by count descending. + """ + df = get_data_df_from_fields( + [METRIC_EVENT_COUNT], + [DIMENSION_EVENT_NAME, DIMENSION_PAGE_PATH, DIMENSION_ENTITY_NAME], + dimension_filter=f"eventName=={event_name}", + **params, + ) + + if len(df) == 0: + return [] + + if page_path_regex: + pattern = re.compile(page_path_regex) + df = df[df[DIMENSION_PAGE_PATH["alias"]].str.match(pattern, na=False)] + + if len(df) == 0: + return [] + + result = df[[DIMENSION_PAGE_PATH["alias"], DIMENSION_ENTITY_NAME["alias"], METRIC_EVENT_COUNT["alias"]]].copy() + result.columns = ["page_path", "entity_name", "count"] + result = result.sort_values("count", ascending=False) + return result.to_dict(orient="records") + + +def get_file_downloads(params): + """Fetch file_downloaded events with entity name and related entity name. + + Returns: + List of dicts with "entity_name", "dataset_id", "related_entity_name", + and "count" keys. + """ + df = elements.get_index_table_download_df(params) + + if len(df) == 0: + return [] + + result = df[[DIMENSION_ENTITY_NAME["alias"], DIMENSION_RELATED_ENTITY_ID["alias"], DIMENSION_RELATED_ENTITY_NAME["alias"], METRIC_EVENT_COUNT["alias"]]].copy() + result.columns = ["entity_name", "dataset_id", "related_entity_name", "count"] + result = result.sort_values("count", ascending=False) + return result.to_dict(orient="records") + + +def get_access_requests(params, url_patterns): + """Fetch outbound_link_clicked events filtered by URL patterns. + + Args: + params: Analytics params for the period. + url_patterns: List of URL substrings to match (e.g., ["duos.org", "dbgap.ncbi.nlm.nih.gov"]). + + Returns: + List of dicts with "page_path", "click_url", and "count" keys, + sorted by count descending. + """ + df = get_data_df_from_fields( + [METRIC_EVENT_COUNT], + [DIMENSION_EVENT_NAME, DIMENSION_PAGE_PATH, DIMENSION_CUSTOM_URL], + dimension_filter="eventName==outbound_link_clicked", + **params, + ) + + if len(df) == 0: + return [] + + url_col = DIMENSION_CUSTOM_URL["alias"] + mask = df[url_col].str.contains("|".join(re.escape(p) for p in url_patterns), case=False, na=False) + df = df[mask] + + if len(df) == 0: + return [] + + result = df[[DIMENSION_PAGE_PATH["alias"], url_col, METRIC_EVENT_COUNT["alias"]]].copy() + result.columns = ["page_path", "click_url", "count"] + result["count"] = result["count"].astype(int) + result = result.groupby(["page_path", "click_url"], as_index=False)["count"].sum() + result = result.sort_values("count", ascending=False) + return result.to_dict(orient="records") + + +def get_file_download_events(params): + """Fetch GA4 enhanced measurement file_download events. + + Returns: + Dict with "total" (int) and "files" (list of dicts with "file_name", "link_url", "count"). + """ + df = get_data_df_from_fields( + [METRIC_EVENT_COUNT], + [DIMENSION_EVENT_NAME, DIMENSION_FILE_NAME, DIMENSION_BUILTIN_URL], + dimension_filter="eventName==file_download", + **params, + ) + + if len(df) == 0: + return {"total": 0, "files": []} + + result = df[[DIMENSION_FILE_NAME["alias"], DIMENSION_BUILTIN_URL["alias"], METRIC_EVENT_COUNT["alias"]]].copy() + result.columns = ["file_name", "link_url", "count"] + result["count"] = result["count"].astype(int) + total = int(result["count"].sum()) + result = result.sort_values("count", ascending=False) + + return {"total": total, "files": result.to_dict(orient="records")} + + +def get_search_queries(params, search_path="/search"): + """Fetch search queries by extracting query params from pagePathPlusQueryString. + + Args: + params: Analytics params for the period. + search_path: The search page path prefix (default: "/search"). + + Returns: + Dict with "total" (int) and "queries" (list of dicts with "query" and "count"). + """ + df = get_data_df_from_fields( + [METRIC_PAGE_VIEWS], + [DIMENSION_PAGE_PATH_PLUS_QUERY], + dimension_filter=f"pagePathPlusQueryString=@{search_path}?", + **params, + ) + + if len(df) == 0: + return {"total": 0, "queries": []} + + path_col = DIMENSION_PAGE_PATH_PLUS_QUERY["alias"] + views_col = METRIC_PAGE_VIEWS["alias"] + + aggregated = {} + for _, row in df.iterrows(): + parsed = parse_qs(urlparse(row[path_col]).query) + query = parsed.get("q", parsed.get("query", [""]))[0] + if query: + aggregated[query] = aggregated.get(query, 0) + int(row[views_col]) + + queries = [{"query": q, "count": c} for q, c in aggregated.items()] + queries.sort(key=lambda x: x["count"], reverse=True) + total = sum(q["count"] for q in queries) + + return {"total": total, "queries": queries} + + +def fetch_data( + ga_authentication, + property_id, + current_month, + analytics_start, + custom_events=None, + historic_data_path=None, + access_request_urls=None, + exclude_pages=None, + base_dimension_filter=None, + search_path=None, +): + """Fetch all analytics data for the static site. + + Args: + ga_authentication: GA4 authentication object from analytics.api.authenticate. + property_id: GA4 property ID. + current_month: Current month string (YYYY-MM). + analytics_start: Start date for all-time data (YYYY-MM-DD). + custom_events: List of dicts with "event_name" and "label" keys. + historic_data_path: Path to historic UA data JSON file (optional). + exclude_pages: Optional list of page paths to exclude from pageview data. + base_dimension_filter: Optional GA4 dimension filter dict applied to all queries. + search_path: Optional search page path to extract search queries from (e.g., "/search"). + + Returns: + Dict containing DataFrames and stats for each data type. + """ + if custom_events is None: + custom_events = [] + + report_dates = elements.get_bounds_for_month_and_prev(current_month) + start_date_current = report_dates["start_current"] + end_date_current = report_dates["end_current"] + start_date_prior = report_dates["start_previous"] + end_date_prior = report_dates["end_previous"] + + print(f"Current month: {start_date_current} to {end_date_current}") + print(f"Prior month: {start_date_prior} to {end_date_prior}") + + params = { + "service_system": ga_authentication, + "start_date": start_date_current, + "end_date": end_date_current, + "property": property_id, + } + if base_dimension_filter: + params["base_dimension_filter"] = base_dimension_filter + params_all_time = {**params, "start_date": analytics_start, "end_date": end_date_current} + params_prior = {**params, "start_date": start_date_prior, "end_date": end_date_prior} + + print("Fetching monthly traffic data...") + historic_kwargs = {"additional_data_path": historic_data_path, "additional_data_behavior": elements.ADDITIONAL_DATA_BEHAVIOR.ADD} if historic_data_path else {} + df_monthly_traffic = elements.get_page_views_over_time_df(params_all_time, **historic_kwargs) + + print("Fetching pageviews data...") + df_pageviews = elements.get_page_views_change( + params, start_date_current, end_date_current, start_date_prior, end_date_prior, + ) + + if exclude_pages and df_pageviews is not None and len(df_pageviews) > 0: + page_col = DIMENSION_PAGE_PATH["alias"] + df_pageviews = df_pageviews[~df_pageviews[page_col].isin(exclude_pages)] + print(f" Excluded {len(exclude_pages)} page(s) from pageviews") + + print("Fetching outbound links data...") + df_outbound = elements.get_outbound_links_change( + params, start_date_current, end_date_current, start_date_prior, end_date_prior, + ) + + print("Fetching filter selections data...") + try: + df_filter_selected = elements.get_index_filter_selected_change( + params, start_date_current, end_date_current, start_date_prior, end_date_prior, + ) + except Exception as e: + print(f" Skipped (not available for this property): {e}") + df_filter_selected = None + + print("Fetching sessions and engagement data...") + df_sessions_current = get_data_df_from_fields( + [METRIC_SESSIONS, METRIC_ENGAGEMENT_RATE], [], **params, + ) + df_sessions_prior = get_data_df_from_fields( + [METRIC_SESSIONS, METRIC_ENGAGEMENT_RATE], [], **params_prior, + ) + sessions_current = int(df_sessions_current[METRIC_SESSIONS["alias"]].sum()) if len(df_sessions_current) > 0 else 0 + sessions_prior = int(df_sessions_prior[METRIC_SESSIONS["alias"]].sum()) if len(df_sessions_prior) > 0 else 0 + engagement_current = float(df_sessions_current[METRIC_ENGAGEMENT_RATE["alias"]].mean()) if len(df_sessions_current) > 0 else 0 + engagement_prior = float(df_sessions_prior[METRIC_ENGAGEMENT_RATE["alias"]].mean()) if len(df_sessions_prior) > 0 else 0 + + print("Fetching file downloads data...") + try: + file_downloads = get_file_downloads(params) + except Exception as e: + print(f" Skipped (not available for this property): {e}") + file_downloads = [] + + access_requests = [] + if access_request_urls: + print("Fetching access requests data...") + access_requests = get_access_requests(params, access_request_urls) + + print("Fetching file download events...") + try: + file_download_events = get_file_download_events(params) + except Exception as e: + print(f" Skipped (not available for this property): {e}") + file_download_events = {"total": 0, "files": []} + + search_queries = {"total": 0, "queries": []} + if search_path: + print("Fetching search queries data...") + try: + search_queries = get_search_queries(params, search_path) + except Exception as e: + print(f" Skipped (not available for this property): {e}") + + data = { + "sessions": { + "current": sessions_current, + "prior": sessions_prior, + }, + "engagement_rate": { + "current": engagement_current, + "prior": engagement_prior, + }, + "monthly_traffic": df_monthly_traffic, + "pageviews": df_pageviews, + "outbound": df_outbound, + "filter_selected": df_filter_selected, + "file_downloads": file_downloads, + "access_requests": access_requests, + "search_queries": search_queries, + "file_download_events": file_download_events, + "dates": { + "start_current": start_date_current, + "end_current": end_date_current, + "start_prior": start_date_prior, + "end_prior": end_date_prior, + }, + } + + for event in custom_events: + key = event_key(event) + print(f"Fetching {event['label']} data...") + data[f"event_{key}"] = get_custom_event_change( + event["event_name"], params, params_prior, + page_path_regex=event.get("page_path_regex"), + ) + if event.get("detail_table"): + print(f"Fetching {event['label']} detail table...") + data[f"event_{key}_detail"] = get_event_detail_table( + event["event_name"], params, + page_path_regex=event.get("page_path_regex"), + ) + + print("Data fetching complete!") + return data diff --git a/analytics/analytics_package/analytics/static_site/generator.py b/analytics/analytics_package/analytics/static_site/generator.py new file mode 100644 index 000000000..3dfb99a52 --- /dev/null +++ b/analytics/analytics_package/analytics/static_site/generator.py @@ -0,0 +1,97 @@ +"""Generate a static analytics site from GA4 data.""" + +import os +import shutil + +from .fetch import fetch_data +from .export import export_data + +TEMPLATE_DIR = os.path.join(os.path.dirname(__file__), "template") + + +def generate_site( + ga_authentication, + config, + property_id, + current_month, + analytics_start, + output_dir="site", + custom_events=None, + historic_data_path=None, + title_resolver=None, + access_request_urls=None, + exclude_pages=None, + base_dimension_filter=None, + search_path=None, +): + """Generate a static analytics site. + + Args: + ga_authentication: GA4 authentication object from analytics.api.authenticate. + config: Site config dict with keys: + - site_title: Display title (e.g., "AnVIL Catalog"). + - logo_url: URL to the logo image. + - logo_link: URL the logo links to. + - primary_color: Primary color hex (e.g., "#035C94"). + - primary_color_dark: Darker primary color hex. + property_id: GA4 property ID. + current_month: Current month string (YYYY-MM). + analytics_start: Start date for all-time data (YYYY-MM-DD). + output_dir: Output directory for the generated site. + custom_events: List of dicts with "event_name" and "label" keys. + Example: [{"event_name": "chat_submitted", "label": "Chat Submissions"}] + historic_data_path: Path to historic UA data JSON file (optional). + title_resolver: Optional callable that accepts the data dict and enriches + detail records with resolved entity titles (e.g., dataset/project names). + exclude_pages: Optional list of page paths to exclude from pageview data. + base_dimension_filter: Optional GA4 dimension filter dict applied to all queries + (e.g., an audience filter to exclude bot/tutorial traffic). + search_path: Optional search page path to extract search queries from (e.g., "/search"). + """ + if custom_events is None: + custom_events = [] + + print("=" * 50) + print(f"Generating analytics site: {config['site_title']}") + print("=" * 50) + print() + + data = fetch_data( + ga_authentication=ga_authentication, + property_id=property_id, + current_month=current_month, + analytics_start=analytics_start, + custom_events=custom_events, + historic_data_path=historic_data_path, + access_request_urls=access_request_urls, + exclude_pages=exclude_pages, + base_dimension_filter=base_dimension_filter, + search_path=search_path, + ) + + if title_resolver: + print("Resolving entity titles...") + title_resolver(data) + + os.makedirs(output_dir, exist_ok=True) + template_html = os.path.join(TEMPLATE_DIR, "index.html") + output_html = os.path.join(output_dir, "index.html") + shutil.copy2(template_html, output_html) + print(f"Copied template to {output_html}") + + data_dir = os.path.join(output_dir, "data") + export_data( + data=data, + config=config, + current_month=current_month, + analytics_start=analytics_start, + custom_events=custom_events, + output_dir=data_dir, + ) + + print("\n" + "=" * 50) + print("Static site generation complete!") + print(f"Files written to: {os.path.abspath(output_dir)}") + print("\nTo view the site locally, run:") + print(f" cd {output_dir} && python -m http.server 8080") + print("Then open http://localhost:8080 in your browser.") diff --git a/analytics/analytics_package/analytics/static_site/resolve.py b/analytics/analytics_package/analytics/static_site/resolve.py new file mode 100644 index 000000000..7eb5ebcd5 --- /dev/null +++ b/analytics/analytics_package/analytics/static_site/resolve.py @@ -0,0 +1,76 @@ +"""Resolve entity UUIDs to titles via catalog APIs.""" + +import re + +import requests + + +def fetch_entity_title_map(api_url, entity_key, title_key, page_size=50, catalog=None): + """Fetch all entities from a catalog API and return a mapping of entryId to title. + + Args: + api_url: Full API URL (e.g., "https://service.azul.data.humancellatlas.org/index/projects"). + entity_key: Key in each hit containing entity list (e.g., "projects", "datasets"). + title_key: Key within each entity for the title (e.g., "projectTitle", "title"). + page_size: Number of results per page. + + Returns: + Dict mapping entryId to title string. + """ + title_map: dict[str, str] = {} + url: str | None = api_url + params: dict | None = {"size": page_size} + if catalog: + params["catalog"] = catalog + while url is not None: + response = requests.get(url, params=params, timeout=30) + response.raise_for_status() + data = response.json() + for hit in data["hits"]: + entry_id = hit.get("entryId") + entities = hit.get(entity_key, []) + if entry_id and entities: + title = entities[0].get(title_key, "") + if title: + title_map[entry_id] = title + url = data.get("pagination", {}).get("next") + params = None + return title_map + + +def enrich_detail_records(data, title_map, path_pattern): + """Enrich in-memory detail records with resolved titles. + + Args: + data: The data dict from fetch_data, containing event detail lists. + title_map: Dict mapping entity UUIDs to titles. + path_pattern: Regex pattern with one capture group for the UUID + (e.g., r"/projects/([0-9a-f-]+)"). + + Returns: + Number of records enriched. + """ + pattern = re.compile(path_pattern) + enriched = 0 + + # Enrich dataset-level detail tables + for key, records in data.items(): + if not key.endswith("_detail") or not isinstance(records, list): + continue + if not key.startswith("event_dataset_"): + continue + for record in records: + match = pattern.search(record.get("page_path", "")) + if match: + uuid = match.group(1) + record["dataset_title"] = title_map.get(uuid, uuid) + enriched += 1 + + # Enrich access request records + for record in data.get("access_requests", []): + match = pattern.search(record.get("page_path", "")) + if match: + uuid = match.group(1) + record["dataset_title"] = title_map.get(uuid, uuid) + enriched += 1 + return enriched diff --git a/analytics/analytics_package/analytics/static_site/template/index.html b/analytics/analytics_package/analytics/static_site/template/index.html new file mode 100644 index 000000000..07b6d0464 --- /dev/null +++ b/analytics/analytics_package/analytics/static_site/template/index.html @@ -0,0 +1,948 @@ + + + + + + Analytics + + + + + + + +
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+ Data sourced from Google Analytics | Generated - +

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+ + + + diff --git a/analytics/analytics_package/setup.py b/analytics/analytics_package/setup.py index a5fcf498a..e28f72314 100644 --- a/analytics/analytics_package/setup.py +++ b/analytics/analytics_package/setup.py @@ -3,6 +3,7 @@ setup( name="analytics", version="4.3.0", - packages=["analytics"], - install_requires=["matplotlib", "pandas", "numpy", "google-auth-oauthlib", "google-api-python-client", "gspread", "gspread-formatting"], + packages=["analytics", "analytics.static_site"], + package_data={"analytics.static_site": ["template/*.html"]}, + install_requires=["matplotlib", "pandas", "numpy", "google-auth-oauthlib", "google-api-python-client", "gspread", "gspread-formatting", "requests"], ) \ No newline at end of file diff --git a/analytics/anvil-catalog-sheets/constants.py b/analytics/anvil-catalog-sheets/constants.py index cd4a5bb6c..94d30d650 100644 --- a/analytics/anvil-catalog-sheets/constants.py +++ b/analytics/anvil-catalog-sheets/constants.py @@ -1,8 +1,8 @@ # CHANGE THESE VALUES TO GENERATE NEW REPORTS # The date of the current month to report on (yyyy-mm) -CURRENT_MONTH = "2025-01" +CURRENT_MONTH = "2026-03" # The name of the folder in which to save the report -PARENT_FOLDER_NAME = "January 2025" +PARENT_FOLDER_NAME = "March 2026" # The name of the spreadsheet with the report SHEET_NAME = "AnVIL Catalog" diff --git a/analytics/anvil-catalog-sheets/generate_static_site.py b/analytics/anvil-catalog-sheets/generate_static_site.py new file mode 100644 index 000000000..3a055fa5c --- /dev/null +++ b/analytics/anvil-catalog-sheets/generate_static_site.py @@ -0,0 +1,36 @@ +#!/usr/bin/env python3 +"""Generate static analytics site for AnVIL Catalog.""" + +import os + +import analytics.api as ga +from analytics.static_site import generate_site +from constants import CURRENT_MONTH, ANVIL_CATALOG_ID, SECRET_NAME, ANALYTICS_START, OAUTH_PORT, HISTORIC_UA_DATA_PATH + +os.environ.setdefault(SECRET_NAME, "../../.credentials/anvil_ga4_credentials.json") + +ga_authentication = ga.authenticate( + SECRET_NAME, + ga.ga4_service_params, + port=OAUTH_PORT, +) + +generate_site( + ga_authentication=ga_authentication, + config={ + "site_title": "AnVIL Catalog", + "logo_url": "https://explore.anvilproject.org/images/logoAnvil.png", + "favicon_url": "https://explore.anvilproject.org/favicons/favicon.ico", + "logo_link": "https://explore.anvilproject.org", + "primary_color": "#035C94", + "primary_color_dark": "#003E76", + }, + property_id=ANVIL_CATALOG_ID, + current_month=CURRENT_MONTH, + analytics_start=ANALYTICS_START, + output_dir="./site", + custom_events=[ + {"event_name": "filter_selected", "label": "Filter Selections"}, + ], + historic_data_path=HISTORIC_UA_DATA_PATH, +) diff --git a/analytics/anvil-explorer-sheets/constants.py b/analytics/anvil-explorer-sheets/constants.py index 86a7eef71..13d2ab5a8 100644 --- a/analytics/anvil-explorer-sheets/constants.py +++ b/analytics/anvil-explorer-sheets/constants.py @@ -1,8 +1,8 @@ # CHANGE THESE VALUES TO GENERATE NEW REPORTS # The date of the current month to report on (yyyy-mm) -CURRENT_MONTH = "2025-01" +CURRENT_MONTH = "2026-03" # The name of the folder in which to save the report -PARENT_FOLDER_NAME = "January 2025" +PARENT_FOLDER_NAME = "March 2026" # The name of the spreadsheet with the report SHEET_NAME = "AnVIL Explorer" diff --git a/analytics/anvil-explorer-sheets/generate_static_site.py b/analytics/anvil-explorer-sheets/generate_static_site.py new file mode 100644 index 000000000..a0a338ca2 --- /dev/null +++ b/analytics/anvil-explorer-sheets/generate_static_site.py @@ -0,0 +1,97 @@ +#!/usr/bin/env python3 +"""Generate static analytics site for AnVIL Explorer.""" + +import os + +import analytics.api as ga +from analytics.static_site import generate_site, enrich_detail_records +from constants import CURRENT_MONTH, ANVIL_EXPLORER_ID, SECRET_NAME, ANALYTICS_START, OAUTH_PORT +from utils import fetch_dataset_title_map + +os.environ.setdefault(SECRET_NAME, "../../.credentials/anvil_ga4_credentials.json") + +ga_authentication = ga.authenticate( + SECRET_NAME, + ga.ga4_service_params, + port=OAUTH_PORT, +) + + +def resolve_dataset_titles(data): + title_map = fetch_dataset_title_map() + count = enrich_detail_records(data, title_map, r"/datasets/([0-9a-f-]+)") + print(f" Enriched {count} records with dataset titles") + + +generate_site( + ga_authentication=ga_authentication, + config={ + "site_title": "AnVIL Explorer User Analytics", + "logo_url": "https://explore.anvilproject.org/images/logoAnvil.png", + "favicon_url": "https://explore.anvilproject.org/favicons/favicon.ico", + "logo_link": "https://explore.anvilproject.org", + "primary_color": "#035C94", + "primary_color_dark": "#003E76", + "entity_label": "Dataset", + "entity_path": "/datasets", + "summary_stats": [ + { + "label": "Cohort Export Requests", + "event_keys": ["index_bulk_download_requested", "index_file_manifest_requested", "index_analyze_in_terra_requested"], + }, + { + "label": "Dataset Export Requests", + "event_keys": ["dataset_bulk_download_requested", "dataset_file_manifest_requested", "dataset_analyze_in_terra_requested"], + }, + ], + "file_downloads_position": 3, + "event_counts": [ + {"label": "Export to Terra\n(Single Dataset)", "event_key": "dataset_analyze_in_terra_requested"}, + {"label": "Export to Terra\n(Cross-Dataset)", "event_key": "index_analyze_in_terra_requested"}, + {"label": "curl Command\n(Single Dataset)", "event_key": "dataset_bulk_download_requested"}, + {"label": "curl Command\n(Cross-Dataset)", "event_key": "index_bulk_download_requested"}, + {"label": "File Manifest\n(Single Dataset)", "event_key": "dataset_file_manifest_requested"}, + {"label": "File Manifest\n(Cross-Dataset)", "event_key": "index_file_manifest_requested"}, + ], + }, + property_id=ANVIL_EXPLORER_ID, + current_month=CURRENT_MONTH, + analytics_start=ANALYTICS_START, + output_dir="./site", + custom_events=[ + {"event_name": "filter_selected", "label": "Filter Selections"}, + { + "event_name": "bulk_download_requested", + "key": "index_bulk_download_requested", + "label": "Cohort curl Download Requests", + "page_path_regex": r"^(?!/datasets/[0-9a-f-]+)", + }, + { + "event_name": "index_file_manifest_requested", + "label": "Cohort File Manifest Requests", + }, + { + "event_name": "index_analyze_in_terra_requested", + "label": "Cohort Analyze in Terra Requests", + }, + { + "event_name": "dataset_analyze_in_terra_requested", + "label": "Dataset Analyze in Terra Requests", + "detail_table": True, + }, + { + "event_name": "bulk_download_requested", + "key": "dataset_bulk_download_requested", + "label": "Dataset curl Download Requests", + "page_path_regex": r"^/datasets/[0-9a-f-]+", + "detail_table": True, + }, + { + "event_name": "dataset_file_manifest_requested", + "label": "Dataset File Manifest Requests", + "detail_table": True, + }, + ], + title_resolver=resolve_dataset_titles, + access_request_urls=["duos.org", "dbgap.ncbi.nlm.nih.gov"], +) diff --git a/analytics/anvil-explorer-sheets/utils.py b/analytics/anvil-explorer-sheets/utils.py index 8e63ae91f..ba777b4c4 100644 --- a/analytics/anvil-explorer-sheets/utils.py +++ b/analytics/anvil-explorer-sheets/utils.py @@ -32,7 +32,7 @@ def fetch_dataset_title_map() -> dict[str, str]: if title: title_map[entry_id] = title url = data.get("pagination", {}).get("next") - params = None # subsequent URLs already include query params + params = None return title_map diff --git a/analytics/deploy_sites.sh b/analytics/deploy_sites.sh new file mode 100755 index 000000000..fbf7e5c46 --- /dev/null +++ b/analytics/deploy_sites.sh @@ -0,0 +1,44 @@ +#!/usr/bin/env bash +# Copy generated analytics sites into the gh-pages directory for deployment. +# Run this after generating all sites locally. + +set -e + +SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)" +REPO_ROOT="$(cd "$SCRIPT_DIR/.." && pwd)" +DEPLOY_DIR="$REPO_ROOT/gh-pages" + +rm -rf "$DEPLOY_DIR" +mkdir -p "$DEPLOY_DIR/anvil-explorer" "$DEPLOY_DIR/hca-explorer" "$DEPLOY_DIR/lungmap" + +# Copy each site +cp -r "$SCRIPT_DIR/anvil-explorer-sheets/site/"* "$DEPLOY_DIR/anvil-explorer/" +cp -r "$SCRIPT_DIR/hca-explorer-sheets/site/"* "$DEPLOY_DIR/hca-explorer/" +cp -r "$SCRIPT_DIR/lungmap-analytics/sheets/site/"* "$DEPLOY_DIR/lungmap/" + +# Create index page with links +cat > "$DEPLOY_DIR/index.html" <<'HTML' + + + + + + Data Browser Analytics + + +

Data Browser Analytics

+ + + +HTML + +echo "Deployed sites to $DEPLOY_DIR" +echo " - anvil-explorer/" +echo " - hca-explorer/" +echo " - lungmap/" +echo "" +echo "Commit and push gh-pages/ to trigger deployment." diff --git a/analytics/hca-explorer-sheets/constants.py b/analytics/hca-explorer-sheets/constants.py index 11a3bdb14..7962119af 100644 --- a/analytics/hca-explorer-sheets/constants.py +++ b/analytics/hca-explorer-sheets/constants.py @@ -1,8 +1,8 @@ # CHANGE THESE VALUES TO GENERATE NEW REPORTS # The date of the current month to report on (yyyy-mm) -CURRENT_MONTH = "2025-01" +CURRENT_MONTH = "2026-03" # The name of the folder in which to save the report -PARENT_FOLDER_NAME = "January 2025" +PARENT_FOLDER_NAME = "March 2026" # The name of the spreadsheet with the report SHEET_NAME = "HCA Explorer" diff --git a/analytics/hca-explorer-sheets/generate_static_site.py b/analytics/hca-explorer-sheets/generate_static_site.py new file mode 100644 index 000000000..4df79026b --- /dev/null +++ b/analytics/hca-explorer-sheets/generate_static_site.py @@ -0,0 +1,97 @@ +#!/usr/bin/env python3 +"""Generate static analytics site for HCA Data Explorer.""" + +import os + +import analytics.api as ga +from analytics.static_site import generate_site, fetch_entity_title_map, enrich_detail_records +from constants import CURRENT_MONTH, HCA_ID, SECRET_NAME, ANALYTICS_START, OAUTH_PORT + +AZUL_PROJECTS_URL = "https://service.azul.data.humancellatlas.org/index/projects" + +os.environ.setdefault(SECRET_NAME, "../../.credentials/hca_ga4_credentials.json") + +ga_authentication = ga.authenticate( + SECRET_NAME, + ga.ga4_service_params, + port=OAUTH_PORT, +) + + +def resolve_project_titles(data): + title_map = fetch_entity_title_map(AZUL_PROJECTS_URL, "projects", "projectTitle") + count = enrich_detail_records(data, title_map, r"/projects/([0-9a-f-]+)") + print(f" Enriched {count} records with project titles") + + +generate_site( + ga_authentication=ga_authentication, + config={ + "site_title": "HCA Data Explorer User Analytics", + "logo_url": "https://explore.data.humancellatlas.org/images/hcaExplorer.png", + "favicon_url": "https://explore.data.humancellatlas.org/favicons/favicon.ico", + "logo_link": "https://explore.data.humancellatlas.org", + "primary_color": "#1C7CC7", + "primary_color_dark": "#005EA9", + "entity_label": "Project", + "entity_path": "/projects", + "summary_stats": [ + { + "label": "Cohort Export Requests", + "event_keys": ["index_bulk_download_requested", "index_file_manifest_requested", "index_analyze_in_terra_requested"], + }, + { + "label": "Project Export Requests", + "event_keys": ["dataset_bulk_download_requested", "dataset_file_manifest_requested", "dataset_analyze_in_terra_requested"], + }, + ], + "file_downloads_position": 3, + "event_counts": [ + {"label": "Export to Terra\n(Single Project)", "event_key": "dataset_analyze_in_terra_requested"}, + {"label": "Export to Terra\n(Cross-Dataset)", "event_key": "index_analyze_in_terra_requested"}, + {"label": "curl Command\n(Single Project)", "event_key": "dataset_bulk_download_requested"}, + {"label": "curl Command\n(Cross-Dataset)", "event_key": "index_bulk_download_requested"}, + {"label": "File Manifest\n(Single Project)", "event_key": "dataset_file_manifest_requested"}, + {"label": "File Manifest\n(Cross-Dataset)", "event_key": "index_file_manifest_requested"}, + ], + }, + property_id=HCA_ID, + current_month=CURRENT_MONTH, + analytics_start=ANALYTICS_START, + output_dir="./site", + custom_events=[ + {"event_name": "filter_selected", "label": "Filter Selections"}, + { + "event_name": "bulk_download_requested", + "key": "index_bulk_download_requested", + "label": "Cohort curl Download Requests", + "page_path_regex": r"^(?!/projects/[0-9a-f-]+)", + }, + { + "event_name": "index_file_manifest_requested", + "label": "Cohort File Manifest Requests", + }, + { + "event_name": "index_analyze_in_terra_requested", + "label": "Cohort Analyze in Terra Requests", + }, + { + "event_name": "dataset_analyze_in_terra_requested", + "label": "Project Analyze in Terra Requests", + "detail_table": True, + }, + { + "event_name": "bulk_download_requested", + "key": "dataset_bulk_download_requested", + "label": "Project curl Download Requests", + "page_path_regex": r"^/projects/[0-9a-f-]+", + "detail_table": True, + }, + { + "event_name": "dataset_file_manifest_requested", + "label": "Project File Manifest Requests", + "detail_table": True, + }, + ], + title_resolver=resolve_project_titles, +) diff --git a/analytics/lungmap-analytics/sheets/constants.py b/analytics/lungmap-analytics/sheets/constants.py index eefa6c239..721b59f22 100644 --- a/analytics/lungmap-analytics/sheets/constants.py +++ b/analytics/lungmap-analytics/sheets/constants.py @@ -1,8 +1,8 @@ # CHANGE THESE VALUES TO GENERATE NEW REPORTS # The date of the current month to report on (yyyy-mm) -CURRENT_MONTH = "2025-01" +CURRENT_MONTH = "2026-03" # The name of the folder in which to save the report -PARENT_FOLDER_NAME = "January 2025" +PARENT_FOLDER_NAME = "March 2026" # The name of the spreadsheet with the report SHEET_NAME = "Lungmap Data Browser" diff --git a/analytics/lungmap-analytics/sheets/generate_static_site.py b/analytics/lungmap-analytics/sheets/generate_static_site.py new file mode 100644 index 000000000..548945317 --- /dev/null +++ b/analytics/lungmap-analytics/sheets/generate_static_site.py @@ -0,0 +1,98 @@ +#!/usr/bin/env python3 +"""Generate static analytics site for LungMAP Data Browser.""" + +import os + +import analytics.api as ga +from analytics.static_site import generate_site, fetch_entity_title_map, enrich_detail_records +from constants import CURRENT_MONTH, LUNGMAP_ID, SECRET_NAME, ANALYTICS_START, OAUTH_PORT, HISTORIC_UA_DATA_PATH + +AZUL_PROJECTS_URL = "https://service.azul.data.humancellatlas.org/index/projects" + +os.environ.setdefault(SECRET_NAME, "../../../.credentials/hca_ga4_credentials.json") + +ga_authentication = ga.authenticate( + SECRET_NAME, + ga.ga4_service_params, + port=OAUTH_PORT, +) + + +def resolve_project_titles(data): + title_map = fetch_entity_title_map(AZUL_PROJECTS_URL, "projects", "projectTitle", catalog="lm10") + count = enrich_detail_records(data, title_map, r"/projects/([0-9a-f-]+)") + print(f" Enriched {count} records with project titles") + + +generate_site( + ga_authentication=ga_authentication, + config={ + "site_title": "LungMAP User Analytics", + "logo_url": "https://data-browser.lungmap.net/images/logoLungmap.png", + "favicon_url": "https://data-browser.lungmap.net/favicons/favicon.ico", + "logo_link": "https://data-browser.lungmap.net", + "primary_color": "#4B7D8E", + "primary_color_dark": "#3A6270", + "entity_label": "Project", + "entity_path": "/projects", + "summary_stats": [ + { + "label": "Cohort Export Requests", + "event_keys": ["index_bulk_download_requested", "index_file_manifest_requested", "index_analyze_in_terra_requested"], + }, + { + "label": "Project Export Requests", + "event_keys": ["dataset_bulk_download_requested", "dataset_file_manifest_requested", "dataset_analyze_in_terra_requested"], + }, + ], + "file_downloads_position": 3, + "event_counts": [ + {"label": "Export to Terra\n(Single Project)", "event_key": "dataset_analyze_in_terra_requested"}, + {"label": "Export to Terra\n(Cross-Dataset)", "event_key": "index_analyze_in_terra_requested"}, + {"label": "curl Command\n(Single Project)", "event_key": "dataset_bulk_download_requested"}, + {"label": "curl Command\n(Cross-Dataset)", "event_key": "index_bulk_download_requested"}, + {"label": "File Manifest\n(Single Project)", "event_key": "dataset_file_manifest_requested"}, + {"label": "File Manifest\n(Cross-Dataset)", "event_key": "index_file_manifest_requested"}, + ], + }, + property_id=LUNGMAP_ID, + current_month=CURRENT_MONTH, + analytics_start=ANALYTICS_START, + output_dir="./site", + custom_events=[ + {"event_name": "filter_selected", "label": "Filter Selections"}, + { + "event_name": "bulk_download_requested", + "key": "index_bulk_download_requested", + "label": "Cohort curl Download Requests", + "page_path_regex": r"^(?!/projects/[0-9a-f-]+)", + }, + { + "event_name": "index_file_manifest_requested", + "label": "Cohort File Manifest Requests", + }, + { + "event_name": "index_analyze_in_terra_requested", + "label": "Cohort Analyze in Terra Requests", + }, + { + "event_name": "dataset_analyze_in_terra_requested", + "label": "Project Analyze in Terra Requests", + "detail_table": True, + }, + { + "event_name": "bulk_download_requested", + "key": "dataset_bulk_download_requested", + "label": "Project curl Download Requests", + "page_path_regex": r"^/projects/[0-9a-f-]+", + "detail_table": True, + }, + { + "event_name": "dataset_file_manifest_requested", + "label": "Project File Manifest Requests", + "detail_table": True, + }, + ], + historic_data_path=HISTORIC_UA_DATA_PATH, + title_resolver=resolve_project_titles, +) diff --git a/gh-pages/anvil-explorer/data/access_requests.json b/gh-pages/anvil-explorer/data/access_requests.json new file mode 100644 index 000000000..ae4132152 --- /dev/null +++ b/gh-pages/anvil-explorer/data/access_requests.json @@ -0,0 +1,128 @@ +[ + { + "page_path": "/datasets/b9ff5c04-4dd0-4764-b189-e9cfe49b3063", + "click_url": "https://dbgap.ncbi.nlm.nih.gov/aa/wga.cgi?adddataset=phs000424", + "count": 8, + "dataset_title": "ANVIL_GTEx_v11_hg38" + }, + { + "page_path": "/datasets/db7caf73-bb61-4f40-bbf1-fa1489f71068", + "click_url": "https://duos.org/dataset/DUOS-000461", + "count": 6, + "dataset_title": "ANVIL_NIMH_Broad_ConvNeuro_McCarroll_Nehme_Levy_CIRM_DS_Village" + }, + { + "page_path": "/datasets/b9ff5c04-4dd0-4764-b189-e9cfe49b3063", + "click_url": "https://duos.org/dataset/DUOS-000780", + "count": 5, + "dataset_title": "ANVIL_GTEx_v11_hg38" + }, + { + "page_path": "/datasets/621f76fb-6bfd-4416-94e5-cfdfdaec5e07", + "click_url": "https://duos.org/dataset/DUOS-000374", + "count": 5, + "dataset_title": "ANVIL_NIMH_Broad_WGSPD1_McCarroll_COGS_DS_WGS" + }, + { + "page_path": "/datasets/094f3cac-3475-464f-8cea-eb9c09577848", + "click_url": "https://duos.org/dataset/DUOS-000484", + "count": 3, + "dataset_title": "ANVIL_ALSCompute_Collection_HMB" + }, + { + "page_path": "/datasets/4f70fe5e-eea9-4ad8-bade-d1912f207c47", + "click_url": "https://dbgap.ncbi.nlm.nih.gov/aa/wga.cgi?adddataset=phs003047", + "count": 3, + "dataset_title": "4f70fe5e-eea9-4ad8-bade-d1912f207c47" + }, + { + "page_path": "/datasets/d976c0b2-712f-4c0b-a0cf-cd26bbdbc8a0", + "click_url": "https://dbgap.ncbi.nlm.nih.gov/aa/wga.cgi?adddataset=phs001585", + "count": 2, + "dataset_title": "ANVIL_ALS_FTD_ALS_AssociatedGenes_GRU_v1" + }, + { + "page_path": "/datasets/bbbcd305-77cc-4c88-94bc-55235c3da93d", + "click_url": "https://duos.org/dataset/DUOS-000284", + "count": 2, + "dataset_title": "ANVIL_ccdg_asc_ndd_daly_talkowski_pericak_vance_asd_wgs" + }, + { + "page_path": "/datasets/fdf85a48-027b-49fd-999c-41e01ceffac5", + "click_url": "https://duos.org/dataset/DUOS-000252", + "count": 1, + "dataset_title": "ANVIL_NIMH_Broad_WGSPD1_McCarroll_Pato_GRU_WGS" + }, + { + "page_path": "/datasets/d976c0b2-712f-4c0b-a0cf-cd26bbdbc8a0", + "click_url": "https://duos.org/dataset/DUOS-000239", + "count": 1, + "dataset_title": "ANVIL_ALS_FTD_ALS_AssociatedGenes_GRU_v1" + }, + { + "page_path": "/datasets/bc42104a-03f0-4143-9b24-4394d1140a1b", + "click_url": "https://duos.org/dataset/DUOS-000306", + "count": 1, + "dataset_title": "ANVIL_CCDG_NYGC_NP_Autism_SSC_WGS" + }, + { + "page_path": "/datasets/bbe9be84-065c-4a44-8d47-e0543de1dd77", + "click_url": "https://duos.org/dataset/DUOS-000375", + "count": 1, + "dataset_title": "ANVIL_NIMH_Broad_WGSPD1_McCarroll_Escamilla_DS_WGS" + }, + { + "page_path": "/datasets/8c5cce68-7d79-43b0-9004-a66c02f6ee5f", + "click_url": "https://duos.org/dataset/DUOS-000377", + "count": 1, + "dataset_title": "ANVIL_NIMH_Broad_WGSPD_1_McCarroll_Braff_DS_WGS" + }, + { + "page_path": "/datasets/19e6aef1-bf95-40c8-92ff-7d06001864a8", + "click_url": "https://dbgap.ncbi.nlm.nih.gov/aa/wga.cgi?adddataset=phs002032", + "count": 1, + "dataset_title": "ANVIL_NIMH_CIRM_FCDI_ConvergentNeuro_McCarroll_Eggan_GRU_Arrays" + }, + { + "page_path": "/datasets/7361d67c-829d-49e9-8e59-c3c55bf554f3", + "click_url": "https://dbgap.ncbi.nlm.nih.gov/aa/wga.cgi?adddataset=phs000424", + "count": 1, + "dataset_title": "ANVIL_GTEx_V9_hg38" + }, + { + "page_path": "/datasets/621f76fb-6bfd-4416-94e5-cfdfdaec5e07", + "click_url": "https://dbgap.ncbi.nlm.nih.gov/aa/wga.cgi?adddataset=phs002041", + "count": 1, + "dataset_title": "ANVIL_NIMH_Broad_WGSPD1_McCarroll_COGS_DS_WGS" + }, + { + "page_path": "/datasets/5047fc67-a80a-4a83-8cc3-515ec15df0fa", + "click_url": "https://duos.org/dataset/DUOS-000376", + "count": 1, + "dataset_title": "ANVIL_NIMH_Broad_WGSPD1_McCarroll_Light_DS_WGS" + }, + { + "page_path": "/datasets/4f70fe5e-eea9-4ad8-bade-d1912f207c47", + "click_url": "https://duos.org/dataset/DUOS-000752", + "count": 1, + "dataset_title": "4f70fe5e-eea9-4ad8-bade-d1912f207c47" + }, + { + "page_path": "/datasets/336b8487-36c8-407e-b862-41f05709e789", + "click_url": "https://dbgap.ncbi.nlm.nih.gov/aa/wga.cgi?adddataset=phs000693", + "count": 1, + "dataset_title": "ANVIL_CMG_UWASH_HMB" + }, + { + "page_path": "/datasets/329c1f46-c814-4c2d-b4b1-c01b724f76e1", + "click_url": "https://duos.org/dataset/DUOS-000483", + "count": 1, + "dataset_title": "ANVIL_ALSCompute_Collection_GRU" + }, + { + "page_path": "/datasets/fe7091a5-0784-471a-8e12-84aa686215db", + "click_url": "https://dbgap.ncbi.nlm.nih.gov/aa/wga.cgi?adddataset=phs000424", + "count": 1, + "dataset_title": "ANVIL_GTEx_V8_hg38" + } +] \ No newline at end of file diff --git a/gh-pages/anvil-explorer/data/config.json b/gh-pages/anvil-explorer/data/config.json new file mode 100644 index 000000000..f48e204c6 --- /dev/null +++ b/gh-pages/anvil-explorer/data/config.json @@ -0,0 +1,55 @@ +{ + "site_title": "AnVIL Explorer User Analytics", + "logo_url": "https://explore.anvilproject.org/images/logoAnvil.png", + "favicon_url": "https://explore.anvilproject.org/favicons/favicon.ico", + "logo_link": "https://explore.anvilproject.org", + "primary_color": "#035C94", + "primary_color_dark": "#003E76", + "entity_label": "Dataset", + "entity_path": "/datasets", + "summary_stats": [ + { + "label": "Cohort Export Requests", + "event_keys": [ + "index_bulk_download_requested", + "index_file_manifest_requested", + "index_analyze_in_terra_requested" + ] + }, + { + "label": "Dataset Export Requests", + "event_keys": [ + "dataset_bulk_download_requested", + "dataset_file_manifest_requested", + "dataset_analyze_in_terra_requested" + ] + } + ], + "file_downloads_position": 3, + "event_counts": [ + { + "label": "Export to Terra\n(Single Dataset)", + "event_key": "dataset_analyze_in_terra_requested" + }, + { + "label": "Export to Terra\n(Cross-Dataset)", + "event_key": "index_analyze_in_terra_requested" + }, + { + "label": "curl Command\n(Single Dataset)", + "event_key": "dataset_bulk_download_requested" + }, + { + "label": "curl Command\n(Cross-Dataset)", + "event_key": "index_bulk_download_requested" + }, + { + "label": "File Manifest\n(Single Dataset)", + "event_key": "dataset_file_manifest_requested" + }, + { + "label": "File Manifest\n(Cross-Dataset)", + "event_key": "index_file_manifest_requested" + } + ] +} \ No newline at end of file diff --git a/gh-pages/anvil-explorer/data/custom_events.json b/gh-pages/anvil-explorer/data/custom_events.json new file mode 100644 index 000000000..e1a19b823 --- /dev/null +++ b/gh-pages/anvil-explorer/data/custom_events.json @@ -0,0 +1,51 @@ +[ + { + "event_name": "filter_selected", + "label": "Filter Selections", + "current": 538, + "prior": 251, + "change": 1.1434262948207172 + }, + { + "event_name": "index_bulk_download_requested", + "label": "Cohort curl Download Requests", + "current": 4, + "prior": 0, + "change": null + }, + { + "event_name": "index_file_manifest_requested", + "label": "Cohort File Manifest Requests", + "current": 9, + "prior": 0, + "change": null + }, + { + "event_name": "index_analyze_in_terra_requested", + "label": "Cohort Analyze in Terra Requests", + "current": 7, + "prior": 0, + "change": null + }, + { + "event_name": "dataset_analyze_in_terra_requested", + "label": "Dataset Analyze in Terra Requests", + "current": 1, + "prior": 0, + "change": null + }, + { + "event_name": "dataset_bulk_download_requested", + "label": "Dataset curl Download Requests", + "current": 5, + "prior": 0, + "change": null + }, + { + "event_name": "dataset_file_manifest_requested", + "label": "Dataset File Manifest Requests", + "current": 2, + "prior": 0, + "change": null + } +] \ No newline at end of file diff --git a/gh-pages/anvil-explorer/data/event_dataset_analyze_in_terra_requested_detail.json b/gh-pages/anvil-explorer/data/event_dataset_analyze_in_terra_requested_detail.json new file mode 100644 index 000000000..d5cdbc4c7 --- /dev/null +++ b/gh-pages/anvil-explorer/data/event_dataset_analyze_in_terra_requested_detail.json @@ -0,0 +1,8 @@ +[ + { + "page_path": "/datasets/303b5a92-57c8-4df2-8331-8ff308f21293/export/export-to-terra", + "entity_name": "(not set)", + "count": 1, + "dataset_title": "ANVIL_1000G_PRIMED_data_model" + } +] \ No newline at end of file diff --git a/gh-pages/anvil-explorer/data/event_dataset_bulk_download_requested_detail.json b/gh-pages/anvil-explorer/data/event_dataset_bulk_download_requested_detail.json new file mode 100644 index 000000000..33cb690e8 --- /dev/null +++ b/gh-pages/anvil-explorer/data/event_dataset_bulk_download_requested_detail.json @@ -0,0 +1,8 @@ +[ + { + "page_path": "/datasets/303b5a92-57c8-4df2-8331-8ff308f21293/export/get-curl-command", + "entity_name": "(not set)", + "count": 5, + "dataset_title": "ANVIL_1000G_PRIMED_data_model" + } +] \ No newline at end of file diff --git a/gh-pages/anvil-explorer/data/event_dataset_file_manifest_requested_detail.json b/gh-pages/anvil-explorer/data/event_dataset_file_manifest_requested_detail.json new file mode 100644 index 000000000..21dfc1312 --- /dev/null +++ b/gh-pages/anvil-explorer/data/event_dataset_file_manifest_requested_detail.json @@ -0,0 +1,8 @@ +[ + { + "page_path": "/datasets/303b5a92-57c8-4df2-8331-8ff308f21293/export/download-manifest", + "entity_name": "(not set)", + "count": 2, + "dataset_title": "ANVIL_1000G_PRIMED_data_model" + } +] \ No newline at end of file diff --git a/gh-pages/anvil-explorer/data/file_download_events.json b/gh-pages/anvil-explorer/data/file_download_events.json new file mode 100644 index 000000000..fa159b745 --- /dev/null +++ b/gh-pages/anvil-explorer/data/file_download_events.json @@ -0,0 +1,10 @@ +{ + "total": 1, + "files": [ + { + "file_name": "/sites/default/files/CCDG_CVD_EOAF_FINAL_w_link.pdf", + "link_url": "https://ccdg.rutgers.edu/sites/default/files/CCDG_CVD_EOAF_FINAL_w_link.pdf", + "count": 1 + } + ] +} \ No newline at end of file diff --git a/gh-pages/anvil-explorer/data/file_downloads.json b/gh-pages/anvil-explorer/data/file_downloads.json new file mode 100644 index 000000000..2c5a2bda3 --- /dev/null +++ b/gh-pages/anvil-explorer/data/file_downloads.json @@ -0,0 +1,14 @@ +[ + { + "entity_name": "1kgp.chr1.recalibrated.snp_indel.pass.EUR.bcftools.stats.txt", + "dataset_id": "1c39e90e-463c-9853-793e-7e4c8f081815", + "related_entity_name": "ANVIL_T2T", + "count": 2 + }, + { + "entity_name": "README", + "dataset_id": "59960255-cca9-fcd3-d8ca-eb88f2c72f00", + "related_entity_name": "ANVIL_HPRC", + "count": 1 + } +] \ No newline at end of file diff --git a/gh-pages/anvil-explorer/data/filter_selected.json b/gh-pages/anvil-explorer/data/filter_selected.json new file mode 100644 index 000000000..6392c6ef8 --- /dev/null +++ b/gh-pages/anvil-explorer/data/filter_selected.json @@ -0,0 +1,1958 @@ +[ + { + "filterName": "accessible", + "filterValue": "true", + "count": 42, + "change": 1.9181141439205955 + }, + { + "filterName": "datasets.consent_group", + "filterValue": "NRES", + "count": 19, + "change": 4.720430107526881 + }, + { + "filterName": "datasets.title", + "filterValue": "ANVIL_GTEx_v11_hg38", + "count": 16, + "change": null + }, + { + "filterName": "datasets.title", + "filterValue": "ANVIL_HPRC", + "count": 13, + "change": 0.9569892473118278 + }, + { + "filterName": "donors.organism_type", + "filterValue": "Human", + "count": 12, + "change": 0.35483870967741926 + }, + { + "filterName": "datasets.title", + "filterValue": "AnVIL_MAGE", + "count": 12, + "change": 2.6129032258064515 + }, + { + "filterName": "datasets.title", + "filterValue": "ANVIL_T2T", + "count": 11, + "change": 8.935483870967742 + }, + { + "filterName": "datasets.title", + "filterValue": "ANVIL_GTEx_public_data", + "count": 10, + "change": 3.516129032258064 + }, + { + "filterName": 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