skip unknown css/svg shape (#1275)
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@@ -8,7 +8,7 @@ from playwright.async_api import Frame, Page
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from skyvern.config import settings
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from skyvern.constants import SKYVERN_ID_ATTR
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from skyvern.exceptions import StepUnableToExecuteError, SVGConversionFailed
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from skyvern.exceptions import StepUnableToExecuteError
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from skyvern.forge import app
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from skyvern.forge.async_operations import AsyncOperation
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from skyvern.forge.prompts import prompt_engine
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@@ -152,14 +152,16 @@ async def _convert_svg_to_string(
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try:
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json_response = await app.SECONDARY_LLM_API_HANDLER(prompt=svg_convert_prompt, step=step)
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svg_shape = json_response.get("shape", "")
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if not svg_shape:
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raise Exception("Empty SVG shape replied by secondary llm")
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recognized = json_response.get("recognized", False)
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if not svg_shape or not recognized:
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raise Exception("Empty or unrecognized SVG shape replied by secondary llm")
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LOG.info("SVG converted by LLM", element_id=element_id, shape=svg_shape)
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await app.CACHE.set(svg_key, svg_shape)
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break
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except Exception:
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LOG.exception(
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LOG.info(
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"Failed to convert SVG to string shape by secondary llm. Will retry if haven't met the max try attempt after 3s.",
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exc_info=True,
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task_id=task_id,
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step_id=step_id,
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element_id=element_id,
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@@ -167,7 +169,16 @@ async def _convert_svg_to_string(
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)
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await asyncio.sleep(3)
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else:
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raise SVGConversionFailed(svg_html=svg_html)
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LOG.warning(
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"Reaching the max try to convert svg element, going to drop the svg element.",
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element_id=element_id,
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task_id=task_id,
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step_id=step_id,
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length=len(svg_html),
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)
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del element["children"]
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element["isDropped"] = True
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return
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element["attributes"] = dict()
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element["attributes"]["alt"] = svg_shape
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@@ -232,20 +243,23 @@ async def _convert_css_shape_to_string(
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screenshot = await locater.screenshot(timeout=settings.BROWSER_SCREENSHOT_TIMEOUT_MS)
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prompt = prompt_engine.load_prompt("css-shape-convert")
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for retry in range(SHAPE_CONVERTION_RETRY_ATTEMPT):
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# TODO: we don't retry the css shape conversion today
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for retry in range(1):
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try:
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json_response = await app.SECONDARY_LLM_API_HANDLER(
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prompt=prompt, screenshots=[screenshot], step=step
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)
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css_shape = json_response.get("shape", "")
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if not css_shape:
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raise Exception("Empty css shape replied by secondary llm")
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recognized = json_response.get("recognized", False)
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if not css_shape or not recognized:
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raise Exception("Empty or unrecognized css shape replied by secondary llm")
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LOG.info("CSS Shape converted by LLM", element_id=element_id, shape=css_shape)
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await app.CACHE.set(shape_key, css_shape)
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break
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except Exception:
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LOG.exception(
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LOG.info(
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"Failed to convert css shape to string shape by secondary llm. Will retry if haven't met the max try attempt after 3s.",
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exc_info=True,
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task_id=task_id,
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step_id=step_id,
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element_id=element_id,
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@@ -5,4 +5,5 @@ Reply in JSON format with the following keys:
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{
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"confidence_float": float, // The confidence of the action. Pick a number between 0.0 and 1.0. 0.0 means no confidence, 1.0 means full confidence
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"shape": string, // A short description of the shape of element and its meaning
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"recognized": bool, // False if you can't recognize the shape or you don't understand the meaning, otherwise true.
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}
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@@ -9,4 +9,5 @@ Reply in JSON format with the following keys:
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{
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"confidence_float": float, // The confidence of the action. Pick a number between 0.0 and 1.0. 0.0 means no confidence, 1.0 means full confidence
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"shape": string, // A short description of the shape of SVG and its meaning
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"recognized": bool, // False if you can't recognize the shape or you don't understand the meaning, otherwise true.
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}
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