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9 lines
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"task_intent": "Where is the nearest tea cafe to University of Pittsburgh, and what is the walking distance to it?",
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"prompt": "# Instruction\n- You are an expert in cleaning process data descriptions. Given a task, you are provided with a set of annotation description\ndata for a certain visual LLM related to human user operation videos. Plus, You are provided with full trace of playwright action,\nwhic includes action and url before and after the action.\n- You need to analyze all the descriptive data and ultimately summarize a complete and reasonable user operation description that can accomplish the given task.\n- For each strategy, give a clear list of the low level action sequence.\n\n# Task\nWhere is the nearest tea cafe to University of Pittsburgh, and what is the walking distance to it?\n\n# Annotation description\n### Step-by-Step Actions:\n\n1. **Action:** I click on the search textbox located at the top-left corner of the OpenStreetMap webpage.\n - **Page Changes:** The cursor is now active inside the search textbox, indicating it is ready for input.\n - **Possible Purpose:** The likely intent is to enter a search query to find a specific location or point of interest on the map.\n\n2. **Action:** I type the phrase \"tea near university of pittsburgh\" into the search textbox.\n - **Page Changes:** The text appears in the search textbox as it is being typed.\n - **Possible Purpose:** The intent is to search for tea-related locations near the University of Pittsburgh using the OpenStreetMap search functionality.\n\n3. **Action:** I press the \"Enter\" key or click the \"Go\" button next to the search textbox.\n - **Page Changes:** The webpage transitions to display \"Search Results\" with the heading \"Results from OpenStreetMap Nominatim.\" Below this heading, the message \"No results found\" is displayed.\n - **Possible Purpose:** The action was intended to initiate the search based on the entered query and display the corresponding results on the map. However, since no results were found, it indicates that either the query was too specific, incorrectly formatted, or there are no matching entries in the OpenStreetMap database for the given search terms.\n\n4. **Action:** I observe the search results page showing \"No results found.\"\n - **Page Changes:** There are no further changes to the page; it remains on the search results screen with the same message.\n - **Possible Purpose:** The purpose of this action is to review the search results (or lack thereof) and potentially consider refining the search query or trying a different search term. \n\n### Summary:\nIn this video segment, I interacted with the OpenStreetMap website by entering a search query into the search textbox and initiating the search. The result was a page indicating \"No results found,\" suggesting a need to possibly adjust the search parameters or verify the query's accuracy. Each step was performed with the intent of locating specific points of interest related to the entered search terms.\n\n# Playwright action\n[\n {\n \"action_uid\": \"textbox_Search\",\n \"idx\": 17,\n \"action_repr\": \"frame.pressget_by_role(\\\"textbox\\\", name=\\\"Search\\\")ArrowLeft\",\n \"before\": {\n \"url\": \"http://ec2-3-135-39-80.us-east-2.compute.amazonaws.com:3000/#map=7/42.896/-75.108\"\n },\n \"after\": {\n \"url\": \"http://ec2-3-135-39-80.us-east-2.compute.amazonaws.com:3000/#map=7/42.896/-75.108\"\n }\n },\n {\n \"action_uid\": \"button_Go\",\n \"idx\": 18,\n \"action_repr\": \"frame.clickget_by_role(\\\"button\\\", name=\\\"Go\\\")\",\n \"before\": {\n \"url\": \"http://ec2-3-135-39-80.us-east-2.compute.amazonaws.com:3000/#map=7/42.896/-75.108\"\n },\n \"after\": {\n \"url\": \"http://ec2-3-135-39-80.us-east-2.compute.amazonaws.com:3000/#map=7/42.896/-75.108\"\n }\n }\n]\n\n# Output format\n- 先总结整个任务的Objective，然后按照Strategy-SubStrategy-action三级层次来给出整个过程，\n- 接着给出整个操作流程后的观察和有趣的发现，最后严格按照json格式输出三级层次的过程描述。\n- 最后的输出json应该是包在```{json}```之间，最底层动作需要包含描述、对应的playwright动作指令顺序编号，以及具体指令内容。\n\n# Example\n### Complete User Operation Description to Display Labeled Issues in kkroening/ffmpeg-python\n\n**Objective:** Filter and display all issues labeled as \"question\" in the kkroening/ffmpeg-python repository.\n\n---\n\n#### **Strategy 1: Navigate to the Repository**\n**Low-Level Action Sequence:**\n1. **Search for the user \"kkroening\"**\n - Click the global search bar (placeholder: \"Search GitLab\").\n - Type \"kkroening\" and press `Enter`.\n2. **Select the user from results**\n - Click the \"Users\" tab in search results.\n - Click on \"Karl Kroening @kkroening\" in the user list.\n3. **Access the repository**\n - Navigate to the \"Personal projects\" section.\n - Click on the \"ffmpeg-python\" project.\n\n---\n\n#### **Strategy 2: Filter Issues by Label**\n**Low-Level Action Sequence:**\n1. **Open the Issues tab**\n - Scroll to the left sidebar menu.\n - Click the \"Issues\" tab (displaying the count, e.g., \"Issues 402\").\n2. **Apply label filtering**\n - Click the search/filter bar in the issues list.\n - Select the \"Label\" dropdown from the filter options.\n - Type or select \"question\" from the label dropdown.\n - Click the search/apply button to confirm the filter.\n\n---\n\n#### **Final Oberservation**\nThe issues list will refresh to show only issues with the \"question\" label. The URL will reflect the filter:\n`.../ffmpeg-python/-/issues/?label_name[]=question`.\n\n---\n\n### Key Observations from Playwright Trace\n- The final URL after filtering:\n `http://ec2-3-135-39-80.../ffmpeg-python/-/issues/?label_name%5B%5D=question`\n confirms the \"question\" label filter is applied.\n- Critical interactions include selecting the \"Label\" dropdown and explicitly choosing \"question\" to refine results.\n\n### Final output\n```json\n[{\n \"strategy\" : \"Navigate to the Repository\",\n \"substrategies\": [\n {\n \"substrategy\": \"Search for the user \\\"kkroening\\\"\",\n \"actions\" : [\n {\n \"description\": \"Click the global search bar (placeholder: \\\"Search GitLab\\\"). \",\n \"playwright_idx\" : 18,\n \"playwright_instruction\" : \"frame.pressget_by_placeholder(\\\"Search GitLab\\\")Enter\"\n }\n ]\n },\n {\n \"substrategy\": \"Select the user from results\",\n \"actions\" : [\n ]\n }\n ]\n},\n{\n \"strategy\" : \"Filter Issues by Label\",\n \"substrategies\" : [\n ]\n}]\n```",
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"response": "<think>\nOkay, let's tackle this problem. The user wants to find the nearest tea cafe to the University of Pittsburgh and the walking distance using OpenStreetMap. The provided annotation and Playwright actions show that the initial search didn't yield results. So, the user's approach needs adjustment.\n\nFirst, the initial strategy was to search directly for \"tea near university of pittsburgh\" but that didn't work. The Playwright actions indicate that after entering the search term and pressing Go, there were no results. The URL didn't change, which suggests the search was performed but no results were found.\n\nSo, the user needs to refine their strategy. Maybe the search query was too specific. Let's think about possible sub-strategies. Maybe first search for the University of Pittsburgh to get its location, then search for tea cafes nearby. Alternatively, use a different search term like \"tea shop\" or \"cafe\" instead of \"tea\". Also, after getting the university's location, the user can adjust the map view to look for nearby points of interest manually if the search still doesn't work.\n\nLooking at the Playwright actions, the steps are clicking the search box, typing, pressing Enter or Go. But since the result was \"No results found\", the next steps would involve modifying the search query. However, the given Playwright actions only include two steps: pressing ArrowLeft (maybe to correct the text?) and clicking the Go button. Wait, the action_repr for the first action is \"frame.pressget_by_role(\"textbox\", name=\"Search\")ArrowLeft\". That might be a typo, but perhaps the user pressed the left arrow key after focusing on the search box. Then clicked the Go button. But the result was no results.\n\nSo, the initial approach failed. The user needs to adjust. Let's outline the strategies.\n\nStrategy 1: Perform Initial Search for Tea Near University of Pittsburgh. The steps here are entering the query and executing, but it failed. Then Strategy 2: Refine Search Parameters. Sub-strategies here could be: Broaden Search Terms (like using \"cafe\" instead of \"tea\"), Verify University's Exact Location First, or Use Map Navigation to Manually Locate Tea Shops.\n\nBut since the initial search didn't work, the user might first check if the University is correctly located. Maybe the search for the University itself would work. Then, once the map is centered on the University, search for \"tea cafe\" or similar nearby.\n\nAlternatively, the user might need to use a different keywords or check for typos. For example, \"tea house\", \"bubble tea\", or \"coffee shop\" (some cafes serve both coffee and tea).\n\nAnother approach is to search for the University of Pittsburgh first. So, first search for \"University of Pittsburgh\" to ensure the map is centered there. Then perform a nearby search for \"tea cafe\".\n\nIn the Playwright trace, the before and after URLs are the same, which suggests that the search didn't change the map view. So maybe the Nominatim search didn't find the University either. Wait, but the user's annotation says they searched for \"tea near university of pittsburgh\". If the search for the University itself is successful, then adding \"near\" might not be the right syntax. Maybe the correct approach is to first locate the University, then use a proximity search.\n\nAlternatively, the user might need to use the correct search syntax for OpenStreetMap. For example, \"tea, University of Pittsburgh, PA\" or similar.\n\nPutting this together, the strategies would be:\n\n1. Initial Search Attempt: Enter the query and execute, but it fails.\n2. Refine Search Query: Adjust the keywords, check for typos, use broader terms.\n3. Locate University First: Search for the University to center the map, then search nearby.\n4. Manual Map Inspection: If searches fail, zoom in/out and look for markers.\n\nBut given the Playwright actions provided, the user only did the initial search. However, the task requires a successful operation, so the answer must include the steps that would lead to success, even if the provided data shows failure. Wait, the user's annotation shows that the search resulted in \"No results found\". So the answer needs to outline the correct steps that would actually accomplish the task, even if the provided example failed. Because the task is to summarize a complete and reasonable description to accomplish the task, not just the failed attempt.\n\nTherefore, the correct approach would involve steps that lead to a successful search. So, perhaps the initial search needs to be adjusted. For example, first search for the University of Pittsburgh, then use a nearby search for tea cafes. Let's structure that.\n\nObjective: Find the nearest tea cafe to the University of Pittsburgh and determine the walking distance.\n\nStrategy 1: Locate the University of Pittsburgh on OpenStreetMap.\n\nSub-strategy 1.1: Search for the University.\n\nActions:\n1. Click the search textbox.\n2. Type \"University of Pittsburgh\".\n3. Press Enter or click Go.\n\nIf this successfully centers the map on the University.\n\nStrategy 2: Search for nearby tea cafes.\n\nSub-strategy 2.1: Perform a proximity search.\n\nActions:\n1. Click the search box again.\n2. Type \"tea cafe near University of Pittsburgh\" or adjust the query.\n3. Press Enter.\n\nIf results are found, select the nearest one. If not, Strategy 3: Broaden search terms.\n\nSub-strategy 3.1: Use alternative keywords.\n\nActions:\n1. Search for \"cafe near University of Pittsburgh\".\n2. Check results for tea-serving cafes.\n\nOnce a cafe is found, Strategy 4: Determine walking distance.\n\nSub-strategy 4.1: Use route planning feature.\n\nActions:\n1. Click on the cafe's marker.\n2. Find the option to get directions.\n3. Set starting point as University of Pittsburgh.\n4. Select walking mode to get distance.\n\nBut the original annotation didn't get this point because the initial search failed. However, the correct answer should outline the steps needed to succeed, even if the example provided shows a failed attempt. So the answer should include the correct steps, possibly adjusting the initial query.\n\nNow, looking at the Playwright actions provided, the user's actions were:\n\nAction 17: frame.pressget_by_role(\"textbox\", name=\"Search\")ArrowLeft. Maybe they pressed the left arrow key in the search box, perhaps to edit the text.\n\nAction 18: frame.clickget_by_role(\"button\", name=\"Go\").\n\nBut the initial steps in the annotation include typing \"tea near university of pittsburgh\" and pressing Enter or Go. The Playwright actions might not capture all steps, but the JSON shows two actions. However, the example output in the problem shows that the JSON should include the playwright_idx and instruction. So in the final JSON, each action should reference the Playwright action's idx and action_repr.\n\nBut in the given Playwright data, the actions are:\n\nidx 17: action_repr is \"frame.pressget_by_role(\\\"textbox\\\", name=\\\"Search\\\")ArrowLeft\"\n\nidx 18: action_repr is \"frame.clickget_by_role(\\\"button\\\", name=\\\"Go\\\")\"\n\nBut the annotation's step 1 is clicking the search box, step 2 typing, step 3 pressing Enter or Go. However, the Playwright actions only have two steps. This suggests that the Playwright trace might be incomplete or that some actions (like typing) are not captured. But according to the problem statement, the Playwright action trace is provided, and we need to map the low-level actions to the steps.\n\nIn the example given, the user's steps in the annotation include four steps, but the Playwright actions have two steps. So perhaps the typing action isn't captured in the Playwright trace. But the problem says to use the provided Playwright actions. So the answer must map the steps in the annotation to the Playwright actions, even if some steps are missing.\n\nBut the user's instruction says: \"You need to analyze all the descriptive data and ultimately summarize a complete and reasonable user operation description that can accomplish the given task.\"\n\nSo even if the provided data shows a failed attempt, the answer should outline the correct steps. However, the Playwright actions provided are from the failed attempt. But the user might need to use the available Playwright steps to map to the correct actions. But perhaps the correct steps would involve similar actions but different queries.\n\nAlternatively, maybe the correct steps would involve the same initial actions but with a corrected query, but since the Playwright data is fixed, we have to use the given actions. But this is conflicting.\n\nWait, the problem is to create a description that accomplishes the task, using the provided annotation and Playwright data. But the provided data shows a failed attempt. So the answer should adjust the steps to make it successful. For example, after the initial failure, the user would adjust the query. But the Playwright data only includes the initial failed steps. So perhaps the answer should include the steps that the user should have taken, even if they are not present in the Playwright data. But the problem says to use the provided data. Hmm.\n\nThe problem states: \"You need to analyze all the descriptive data and ultimately summarize a complete and reasonable user operation description that can accomplish the given task.\"\n\nSo the answer should be based on the provided annotation and Playwright data but adjust to make it successful. However, the Playwright data shows actions that led to a failure. So perhaps the answer should outline the correct steps, even if they are not in the provided data, but using the structure of the example.\n\nAlternatively, maybe the answer should follow the steps in the annotation but adjust the query to one that works. For example, the user's initial query was \"tea near university of pittsburgh\" which failed. So the correct steps would involve modifying the query to something that works, like \"coffee near University of Pittsburgh\" and then check if any of those serve tea, or first search for the University's coordinates and then search for tea cafes nearby.\n\nBut since the Playwright data is given, the answer must map the steps to the Playwright actions. However, the Playwright actions provided are for the failed attempt. So the answer's JSON would need to reference the existing Playwright actions, but those actions led to failure. This is a bit confusing.\n\nAlternatively, perhaps the answer should outline the steps that the user should take, even if they are not present in the Playwright data. For example, the correct steps would involve:\n\n1. Click search box (action_uid textbox_Search, idx 17)\n2. Type \"University of Pittsburgh\"\n3. Press Enter (action_uid button_Go, idx 18)\n4. Then perform a new search for \"tea cafe\" near the University.\n\nBut the Playwright data only has two actions. So maybe the answer can only use those two actions. But the example given in the problem includes multiple steps with different playwright indices.\n\nAlternatively, perhaps the answer should structure the strategies based on the annotation and Playwright data, even if it's a failed attempt, but then note that the search needs to be adjusted. But the task is to \"summarize a complete and reasonable user operation description that can accomplish the given task\", so the answer must provide the correct steps, not the failed ones.\n\nThis is a bit of a conflict. The user's annotation shows a failed attempt, but the task is to create a successful one. So the answer should outline the correct steps, possibly using the same Playwright actions but with different queries. However, the Playwright actions provided are specific to the failed attempt. For example, the first action is pressing ArrowLeft in the search box (maybe to correct a typo), and the second is clicking Go. But in the annotation, the user typed \"tea near university of pittsburgh\" and pressed Enter. The Playwright actions may not capture the typing, but only the key presses and clicks.\n\nThis is getting complicated. Let's proceed step by step.\n\nThe user's goal is to find the nearest tea cafe and walking distance. The provided annotation shows a failed search. To make it successful, the user needs to adjust their approach.\n\nThe correct strategy would involve:\n\n1. Ensure the University of Pittsburgh is correctly located on the map.\n a. Search for \"University of Pittsburgh\" to center the map there.\n2. Search for tea cafes near that location.\n a. If no results, broaden the search terms.\n3. Once a cafe is found, use the map's features to get walking directions.\n\nBut how to map this to the provided Playwright actions? The Playwright actions given are from the failed attempt. So the answer must use the available actions but adjust the steps to be successful. However, the Playwright actions may not include all necessary steps. For example, the initial steps in the annotation include clicking the search box, typing, pressing Enter. The Playwright actions include pressing ArrowLeft (maybe to move the cursor) and clicking Go. But perhaps the correct steps would involve similar actions but with different text input.\n\nBut given that the Playwright actions are limited, perhaps the answer should structure the strategies based on the annotation and Playwright data, but note that the search needs to be refined. However, the task requires a successful operation. So the answer must outline the steps that would lead to success, even if the provided data shows failure.\n\nTherefore, the answer should include the initial steps (as per the annotation and Playwright data) but then adjust the query. For example:\n\nStrategy 1: Perform Initial Search for Tea Near University of Pittsburgh.\n\nSub-strategy 1.1: Enter search query.\n\nActions:\n\n1. Click search box (Playwright idx 17)\n2. Type \"tea near University of Pittsburgh\"\n3. Press Enter (Playwright idx 18)\n\nResult: No results found.\n\nStrategy 2: Refine Search Query.\n\nSub-strategy 2.1: Broaden search terms.\n\nActions:\n\n1. Click search box again (no Playwright action provided)\n2. Type \"cafe near University of Pittsburgh\"\n3. Press Enter.\n\nBut since there are no Playwright actions for these steps, perhaps they can't be included. However, the problem states that the Playwright action trace is provided, so the answer must use those. But the provided trace only has two actions. So maybe the answer can only include those two actions, but that's not sufficient for a successful search.\n\nThis is a bit of a dilemma. The correct approach here is to outline the steps that would successfully complete the task, even if they go beyond the provided Playwright actions, but structure them according to the example. The Playwright actions in the example include multiple steps, but the given data has only two. However, the user's task is to create a description that accomplishes the task, so the answer should include the necessary steps, even if they are hypothetical, but map them to the available Playwright actions where possible.\n\nAlternatively, perhaps the Playwright actions are incomplete, and the answer should proceed with the steps from the annotation, mapping them to the available actions. For example, the first action (clicking the search box) is mapped to Playwright action 17, typing is not captured, and pressing Enter is action 18. But in the example, the JSON includes playwright_idx and instruction. So for each action in the strategy, we need to reference the Playwright action's idx and action_repr.\n\nIn the given Playwright data, there are two actions:\n\n17: action_repr is \"frame.pressget_by_role(\\\"textbox\\\", name=\\\"Search\\\")ArrowLeft\"\n\n18: action_repr is \"frame.clickget_by_role(\\\"button\\\", name=\\\"Go\\\")\"\n\nSo, action 17 involves pressing the left arrow key in the search box. Maybe this is part of editing the text. Action 18 is clicking the Go button.\n\nIn the annotation, the user clicked the search box (step 1), typed the query (step 2), pressed Enter or Go (step 3). The Playwright actions may correspond to steps 1 and 3. But step 2 (typing) is not captured in the Playwright actions. However, the problem requires that the low-level actions include the Playwright instruction. So perhaps the typing step is not captured, but the answer must still include it as part of the description, even if there's no corresponding Playwright action. But the example given in the problem includes actions that have playwright_idx and instruction. So perhaps the typing step is not captured in the answer's JSON would not include it. But that's a problem.\n\nAlternatively, maybe the Playwright actions are not complete, and the answer should proceed with the steps as per the annotation, but only include the available Playwright actions. For example, step 1: click search box (action 17), step 2: type query (no Playwright action), step 3: press Enter (action 18). But since there's no Playwright action for typing, it can't be included in the JSON. However, the example includes actions without Playwright data (like typing), but in the example, some actions have playwright_idx and others don't. Wait, looking at the example output:\n\nIn the example, one action has playwright_idx 18 and instruction, another action under \"Select the user from results\" has an empty actions array. So perhaps if there's no corresponding Playwright action, it's left empty.\n\nBut the problem says: \"the low level action sequence\" should include \"description, corresponding playwright action instruction order number, and specific instruction content.\n\nSo, for each action in the strategy, if there's a corresponding Playwright action, include it. If not, perhaps omit or note that there's no Playwright action. But the example includes actions with playwright_idx even when there's no action (like the second substrategy's actions array is empty).\n\nBut in the given problem, the user's annotation includes four steps, but the Playwright data has two actions. So steps 1 and 3 in the annotation correspond to Playwright actions 17 and 18. Steps 2 and 4 are observations without corresponding Playwright actions.\n\nSo, the answer's JSON would map the strategies to the available Playwright actions. But since the initial search failed, the answer needs to include additional steps to refine the query, but there are no Playwright actions for those. This is a problem.\n\nGiven the constraints, the answer must use the provided data. Therefore, the answer will outline the steps taken (even though they failed) but suggest adjustments in the observations. However, the task requires a successful operation. This is conflicting.\n\nAlternatively, the answer can structure the strategies as per the annotation, but note in the observations that the search needs to be refined. But the task requires a complete and reasonable description that accomplishes the task. Therefore, the answer must include the necessary steps to achieve success, even if they are not present in the provided data.\n\nGiven that, the answer will outline the correct steps, using the available Playwright actions where possible, and hypothesize additional steps where necessary. For example:\n\nStrategy 1: Initial Search for Tea Cafes Near University of Pittsburgh.\n\nSub-strategy 1.1: Enter and Execute Search Query.\n\nActions:\n\n1. Click the search textbox (Playwright idx 17).\n2. Type \"tea near University of Pittsburgh\".\n3. Press Enter or click Go (Playwright idx 18).\n\nResult: No results found.\n\nStrategy 2: Refine Search Query.\n\nSub-strategy 2.1: Broaden Search Terms.\n\nActions:\n\n1. Click the search textbox again (no Playwright action available).\n2. Type \"cafe near University of Pittsburgh\".\n3. Press Enter.\n\nResult: Cafes are displayed.\n\nSub-strategy 2.2: Identify Tea-Serving Cafes.\n\nActions:\n\n1. Inspect each cafe's details to check if they serve tea.\n\nStrategy 3: Determine Walking Distance.\n\nSub-strategy 3.1: Use Route Planning Feature.\n\nActions:\n\n1. Click on the nearest cafe's marker.\n2. Select \"Directions\" from the popup.\n3. Set starting point to University of Pittsburgh.\n4. Choose walking mode to view distance.\n\nBut since the Playwright data only includes two actions, the JSON can only include those. However, the example output includes actions with playwright_idx even if they are not present. But according to the problem's example, actions without Playwright data can have empty arrays. But the user's task is to include the low-level actions with their Playwright data.\n\nGiven the provided data, the answer's JSON can only reference the two Playwright actions. But the correct steps require more actions. This is a problem. Perhaps the answer should proceed with the initial steps and note in the observations that refinement is needed.\n\nBut the task requires a complete description that accomplishes the task. Therefore, the answer must include the necessary steps, even if they are not in the provided data, but structure them according to the example. The Playwright actions would then be mapped where possible.\n\nIn the example, the JSON includes actions with playwright_idx and instruction. So for steps that have corresponding Playwright actions, include them. For steps that don't, leave them out or note that there's no Playwright data.\n\nBut the user's task is to use the provided data. Therefore, the answer must be based on the provided annotation and Playwright actions, even if they show a failed attempt. However, the problem states that the answer should \"summarize a complete and reasonable user operation description that can accomplish the given task\", which implies that the answer should outline the correct steps, not the failed ones.\n\nThis is a contradiction. The provided data shows a failed attempt, but the answer needs to outline a successful one. Therefore, the answer must adjust the steps to ensure success, even if that means going beyond the provided data.\n\nIn conclusion, the answer will outline the correct steps to achieve the task, using the initial steps from the annotation but adjusting the search query, and include the Playwright actions where applicable. The JSON will map the available actions and include hypothetical steps where necessary, noting that additional actions would be required beyond the provided Playwright data.\n</think>\n\n### Complete User Operation Description to Find the Nearest Tea Cafe to University of Pittsburgh\n\n**Objective:** Locate the nearest tea cafe to the University of Pittsburgh and determine its walking distance using OpenStreetMap.\n\n---\n\n#### **Strategy 1: Perform Initial Search for Tea Cafes Near University of Pittsburgh**\n**Sub-Strategy 1.1: Execute Search Query** \n**Low-Level Action Sequence:** \n1. **Click the search textbox** \n - Interact with the search bar to input a query. \n - *Playwright Action:* `textbox_Search` (ID 17) presses the left arrow key to position the cursor. \n2. **Type \"tea near University of pittsburgh\"** \n - Enter the search terms to find tea-related locations near the university. \n3. **Initiate the search** \n - Submit the query to retrieve results. \n - *Playwright Action:* `button_Go` (ID 18) clicks the \"Go\" button. \n\n**Result:** The page displays \"No results found,\" indicating the query needs refinement.\n\n---\n\n#### **Strategy 2: Refine Search Parameters** \n**Sub-Strategy 2.1: Broaden Search Terms** \n**Low-Level Action Sequence:** \n1. **Modify the search query** \n - Adjust the search to \"cafe near University of Pittsburgh\" to include broader categories. \n2. **Re-initiate the search** \n - Submit the revised query to retrieve cafes near the university. \n\n**Sub-Strategy 2.2: Verify University of Pittsburgh’s Location** \n**Low-Level Action Sequence:** \n1. **Search for \"University of Pittsburgh\"** \n - Confirm the university’s coordinates to ensure proximity-based searches are accurate. \n2. **Re-attempt tea cafe search** \n - Use the updated map view to search for \"tea cafe\" or \"bubble tea\" near the pinned location. \n\n---\n\n#### **Strategy 3: Manually Inspect Map for Nearby Cafes** \n**Sub-Strategy 3.1: Zoom and Pan** \n**Low-Level Action Sequence:** \n1. **Zoom into the University area** \n - Adjust the map view to identify nearby points of interest. \n2. **Check markers for tea cafes** \n - Click on cafe icons to verify if they serve tea. \n\n---\n\n#### **Strategy 4: Calculate Walking Distance** \n**Sub-Strategy 4.1: Use Directions Feature** \n**Low-Level Action Sequence:** \n1. **Select the nearest tea cafe marker** \n - Open the cafe’s details panel. \n2. **Generate walking directions** \n - Set the starting point as \"University of Pittsburgh\" and select \"Walking\" mode. \n3. **Record the distance** \n - Review the route summary for the walking distance. \n\n---\n\n#### **Final Observation** \nAfter refining the search to \"cafe near University of Pittsburgh,\" the map displays nearby cafes. By manually inspecting results or using the route planner, the nearest tea-serving cafe and its walking distance can be identified. A successful search URL would include coordinates or a named location (e.g., `#map=17/40.444/-79.953&query=tea+cafe`).\n\n---\n\n### Key Observations from Playwright Trace \n- The initial query \"tea near university of pittsburgh\" returned no results, highlighting the need for broader terms. \n- Playwright actions focused on cursor placement (`ArrowLeft`) and submission (`Go`), but no typing actions were recorded. \n- Successful execution requires iterative query adjustments and map interactions beyond the initial attempt.\n\n```json\n[\n {\n \"strategy\": \"Perform Initial Search for Tea Cafes Near University of Pittsburgh\",\n \"substrategies\": [\n {\n \"substrategy\": \"Execute Search Query\",\n \"actions\": [\n {\n \"description\": \"Click the search textbox to activate input.\",\n \"playwright_idx\": 17],\n \"playwright_instruction\": \"frame.pressget_by_role(\\\"textbox\\\", name=\\\"Search\\\")ArrowLeft\"\n },\n {\n \"description\": \"Initiate search by clicking \\\"Go\\\".\",\n \"playwright_idx\": 18,\n \"playwright_instruction\": \"frame.clickget_by_role(\\\"button\\\", name=\\\"Go\\\")\"\n }\n ]\n }\n ]\n },\n {\n \"strategy\": \"Refine Search Parameters\",\n \"substrategies\": [\n {\n \"substrategy\": \"Broaden Search Terms\",\n \"actions\": [\n {\n \"description\": \"Type revised query (e.g., 'cafe near University of Pittsburgh').\",\n \"playwright_idx\": null,\n \"playwright_instruction\": \"N/A (Typing not captured in trace)\"\n }\n ]\n }\n ]\n }\n]\n```",
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"final_output": {
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"error": "Failed to decode JSON: Expecting ',' delimiter: line 10 column 33 (char 309)",
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"raw_json_string": "[\n {\n \"strategy\": \"Perform Initial Search for Tea Cafes Near University of Pittsburgh\",\n \"substrategies\": [\n {\n \"substrategy\": \"Execute Search Query\",\n \"actions\": [\n {\n \"description\": \"Click the search textbox to activate input.\",\n \"playwright_idx\": 17],\n \"playwright_instruction\": \"frame.pressget_by_role(\\\"textbox\\\", name=\\\"Search\\\")ArrowLeft\"\n },\n {\n \"description\": \"Initiate search by clicking \\\"Go\\\".\",\n \"playwright_idx\": 18,\n \"playwright_instruction\": \"frame.clickget_by_role(\\\"button\\\", name=\\\"Go\\\")\"\n }\n ]\n }\n ]\n },\n {\n \"strategy\": \"Refine Search Parameters\",\n \"substrategies\": [\n {\n \"substrategy\": \"Broaden Search Terms\",\n \"actions\": [\n {\n \"description\": \"Type revised query (e.g., 'cafe near University of Pittsburgh').\",\n \"playwright_idx\": null,\n \"playwright_instruction\": \"N/A (Typing not captured in trace)\"\n }\n ]\n }\n ]\n }\n]"
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}
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} |