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80927a2872
Add per-item, per-platform billing for the platform-native connectors (Reddit, Google Search, Google Maps places/reviews, YouTube videos/comments) through the capability gate/charge seam. Rates are config-driven with a shared wallet-credit module (wallet_credit) and a dedicated PlatformScrapeCreditService; agent and REST capability runs now record cost_micros. Google Maps scrape dual-meters places and attached reviews. Remove the main-agent scrape_webpage tool now that the web.crawl capability covers single-page (maxCrawlDepth=0) and site crawling. The main agent now reaches crawling via task(web_crawler, ...). Update prompts, tool catalog, receipts, skills, proprietary docs, and tests; drop the obsolete chat-turn crawl fold path. Co-authored-by: Cursor <cursoragent@cursor.com>
118 lines
3.8 KiB
Python
118 lines
3.8 KiB
Python
"""``google_maps.scrape`` I/O contracts.
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A lean, agent-friendly surface over ``GoogleMapsScrapeInput``
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(``app/proprietary/platforms/google_maps``). The executor maps this to the full
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scraper input; the scraper's ``PlaceItem`` is reused verbatim as the output
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element.
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"""
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from __future__ import annotations
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from pydantic import BaseModel, Field, model_validator
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from app.proprietary.platforms.google_maps import PlaceItem
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MAX_MAPS_SOURCES = 20
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"""Per-call cap on queries + urls + place_ids: bounds a sync request's fan-out."""
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class ScrapeInput(BaseModel):
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search_queries: list[str] = Field(
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default_factory=list,
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max_length=MAX_MAPS_SOURCES,
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description=(
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"Google Maps search terms (e.g. 'coffee shops', 'dentist'); each "
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"returns up to max_places. Provide these OR urls OR place_ids "
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"(at least one is required). Pair with location to scope a search."
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),
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)
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urls: list[str] = Field(
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default_factory=list,
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max_length=MAX_MAPS_SOURCES,
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description=(
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"Google Maps URLs — a place page (/maps/place/...) or a search "
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"results URL. Provide these OR search_queries OR place_ids."
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),
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)
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place_ids: list[str] = Field(
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default_factory=list,
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max_length=MAX_MAPS_SOURCES,
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description=(
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"Known Google place IDs (ChIJ...) to fetch directly. Provide these "
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"OR search_queries OR urls."
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),
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)
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location: str | None = Field(
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default=None,
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description="Location to scope search_queries to, e.g. 'New York, USA'.",
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)
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max_places: int = Field(
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default=10,
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ge=1,
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le=1000,
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description="Max places to return per search query.",
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)
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language: str = Field(
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default="en",
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description="Result language code, e.g. 'en', 'fr'.",
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)
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include_details: bool = Field(
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default=False,
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description=(
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"Also fetch each place's detail page — opening hours, popular "
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"times, extra contact info (slower; more requests)."
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),
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)
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max_reviews: int = Field(
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default=0,
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ge=0,
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le=100_000,
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description="Reviews to attach per place (0 = none).",
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)
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max_images: int = Field(
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default=0,
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ge=0,
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description="Images to attach per place (0 = none).",
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)
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@model_validator(mode="after")
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def _require_a_source(self) -> ScrapeInput:
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if not (self.search_queries or self.urls or self.place_ids):
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raise ValueError(
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"Provide at least one of 'search_queries', 'urls', or 'place_ids'."
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)
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return self
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@property
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def estimated_units(self) -> int:
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"""Worst-case billable places: each search query yields up to
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``max_places``; direct URLs and place_ids yield one each."""
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return (
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len(self.search_queries) * self.max_places
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+ len(self.urls)
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+ len(self.place_ids)
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)
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@property
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def estimated_review_units(self) -> int:
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"""Worst-case attached reviews for the dual-meter gate: up to
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``max_reviews`` per place across the worst-case place fan-out."""
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return self.estimated_units * self.max_reviews
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class ScrapeOutput(BaseModel):
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items: list[PlaceItem] = Field(
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default_factory=list,
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description="One place item per result, in the scraper's emission order.",
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)
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@property
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def billable_units(self) -> int:
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"""One returned place = one billable place unit."""
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return len(self.items)
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@property
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def attached_review_count(self) -> int:
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"""Reviews attached inline across all places — the second (review)
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meter for this dual-metered verb (populated only when max_reviews > 0)."""
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return sum(len(item.reviews) for item in self.items)
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