snapshot.py

"""
Snapshot functionality - calls window.sentience.snapshot() or server-side API
"""

from typing import Any

import requests

from .browser import SentienceBrowser
from .models import Snapshot


def snapshot(
    browser: SentienceBrowser,
    screenshot: bool | None = None,
    limit: int | None = None,
    filter: dict[str, Any] | None = None,
    use_api: bool | None = None,
) -> Snapshot:
    """
    Take a snapshot of the current page

    Args:
        browser: SentienceBrowser instance
        screenshot: Whether to capture screenshot (bool or dict with format/quality)
        limit: Limit number of elements returned
        filter: Filter options (min_area, allowed_roles, min_z_index)
        use_api: Force use of server-side API if True, local extension if False.
                 If None, uses API if api_key is set, otherwise uses local extension.

    Returns:
        Snapshot object
    """
    # Determine if we should use server-side API
    should_use_api = use_api if use_api is not None else (browser.api_key is not None)

    if should_use_api and browser.api_key:
        # Use server-side API (Pro/Enterprise tier)
        return _snapshot_via_api(browser, screenshot, limit, filter)
    else:
        # Use local extension (Free tier)
        return _snapshot_via_extension(browser, screenshot, limit, filter)


def _snapshot_via_extension(
    browser: SentienceBrowser,
    screenshot: bool | None,
    limit: int | None,
    filter: dict[str, Any] | None,
) -> Snapshot:
    """Take snapshot using local extension (Free tier)"""
    if not browser.page:
        raise RuntimeError("Browser not started. Call browser.start() first.")

    # CRITICAL: Wait for extension injection to complete (CSP-resistant architecture)
    # The new architecture loads injected_api.js asynchronously, so window.sentience
    # may not be immediately available after page load
    try:
        browser.page.wait_for_function(
            "typeof window.sentience !== 'undefined'", timeout=5000  # 5 second timeout
        )
    except Exception as e:
        # Gather diagnostics if wait fails
        try:
            diag = browser.page.evaluate(
                """() => ({
                    sentience_defined: typeof window.sentience !== 'undefined',
                    extension_id: document.documentElement.dataset.sentienceExtensionId || 'not set',
                    url: window.location.href
                })"""
            )
        except Exception:
            diag = {"error": "Could not gather diagnostics"}

        raise RuntimeError(
            f"Sentience extension failed to inject window.sentience API. "
            f"Is the extension loaded? Diagnostics: {diag}"
        ) from e

    # Build options
    options: dict[str, Any] = {}
    if screenshot is not None:
        options["screenshot"] = screenshot
    if limit is not None:
        options["limit"] = limit
    if filter is not None:
        options["filter"] = filter

    # Call extension API
    result = browser.page.evaluate(
        """
        (options) => {
            return window.sentience.snapshot(options);
        }
        """,
        options,
    )

    # Validate and parse with Pydantic
    snapshot_obj = Snapshot(**result)
    return snapshot_obj


def _snapshot_via_api(
    browser: SentienceBrowser,
    screenshot: bool | None,
    limit: int | None,
    filter: dict[str, Any] | None,
) -> Snapshot:
    """Take snapshot using server-side API (Pro/Enterprise tier)"""
    if not browser.page:
        raise RuntimeError("Browser not started. Call browser.start() first.")

    if not browser.api_key:
        raise ValueError("API key required for server-side processing")

    if not browser.api_url:
        raise ValueError("API URL required for server-side processing")

    # CRITICAL: Wait for extension injection to complete (CSP-resistant architecture)
    # Even for API mode, we need the extension to collect raw data locally
    try:
        browser.page.wait_for_function("typeof window.sentience !== 'undefined'", timeout=5000)
    except Exception as e:
        raise RuntimeError(
            "Sentience extension failed to inject. Cannot collect raw data for API processing."
        ) from e

    # Step 1: Get raw data from local extension (always happens locally)
    raw_options: dict[str, Any] = {}
    if screenshot is not None:
        raw_options["screenshot"] = screenshot

    raw_result = browser.page.evaluate(
        """
        (options) => {
            return window.sentience.snapshot(options);
        }
        """,
        raw_options,
    )

    # Step 2: Send to server for smart ranking/filtering
    # Use raw_elements (raw data) instead of elements (processed data)
    # Server validates API key and applies proprietary ranking logic
    payload = {
        "raw_elements": raw_result.get("raw_elements", []),  # Raw data needed for server processing
        "url": raw_result.get("url", ""),
        "viewport": raw_result.get("viewport"),
        "options": {
            "limit": limit,
            "filter": filter,
        },
    }

    headers = {
        "Authorization": f"Bearer {browser.api_key}",
        "Content-Type": "application/json",
    }

    try:
        response = requests.post(
            f"{browser.api_url}/v1/snapshot",
            json=payload,
            headers=headers,
            timeout=30,
        )
        response.raise_for_status()

        api_result = response.json()

        # Merge API result with local data (screenshot, etc.)
        snapshot_data = {
            "status": api_result.get("status", "success"),
            "timestamp": api_result.get("timestamp"),
            "url": api_result.get("url", raw_result.get("url", "")),
            "viewport": api_result.get("viewport", raw_result.get("viewport")),
            "elements": api_result.get("elements", []),
            "screenshot": raw_result.get("screenshot"),  # Keep local screenshot
            "screenshot_format": raw_result.get("screenshot_format"),
            "error": api_result.get("error"),
        }

        return Snapshot(**snapshot_data)
    except requests.exceptions.RequestException as e:
        raise RuntimeError(f"API request failed: {e}")