68 строки
2.3 KiB
Python
68 строки
2.3 KiB
Python
"""An explore for Events Views."""
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from __future__ import annotations
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from pathlib import Path
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from typing import Any, Dict, Iterator, List, Optional
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from google.cloud import bigquery
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from ..views import EventsView, View
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from .explore import Explore
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class EventsExplore(Explore):
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"""An Events Explore, from any unnested events table."""
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type: str = "events_explore"
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@staticmethod
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def from_views(views: List[View]) -> Iterator[EventsExplore]:
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"""Where possible, generate EventsExplores for Views."""
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for view in views:
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if isinstance(view, EventsView):
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yield EventsExplore(
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view.name,
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{
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"base_view": "events",
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"extended_view": view.tables[0]["events_table_view"],
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},
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)
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@staticmethod
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def from_dict(name: str, defn: dict, views_path: Path) -> EventsExplore:
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"""Get an instance of this explore from a dictionary definition."""
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return EventsExplore(name, defn["views"], views_path)
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def _to_lookml(
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self, client: bigquery.Client, v1_name: Optional[str]
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) -> List[Dict[str, Any]]:
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name = self.name
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if not name.endswith("_counts"):
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name = "event_counts"
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lookml: Dict[str, Any] = {
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"name": name,
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"view_name": self.views["base_view"],
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"description": "Event counts over time.",
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"joins": self.get_unnested_fields_joins_lookml(),
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}
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if required_filters := self.get_required_filters("extended_view"):
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lookml["always_filter"] = {"filters": required_filters}
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if time_partitioning_group := self.get_view_time_partitioning_group(
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self.views["extended_view"]
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):
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date_dimension = f"{time_partitioning_group}_date"
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lookml["queries"] = [
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{
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"description": "Event counts from all events over the past two weeks.",
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"dimensions": [date_dimension],
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"measures": ["event_count"],
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"filters": [
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{date_dimension: "14 days"},
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],
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"name": "all_event_counts",
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},
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]
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return [lookml]
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