92 lines
40 KiB
JSON
92 lines
40 KiB
JSON
{
|
||
"task_intent": "What is the duration required to first walk from Massachusetts Institute of Technology to Harvard University, and then drive to Boston Logan International Airport?",
|
||
"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\nWhat is the duration required to first walk from Massachusetts Institute of Technology to Harvard University, and then drive to Boston Logan International Airport?\n\n# Annotation description\n## Part 1\n### Part 1: Initial State and First Action\n\n**Action:** \nI click on the search textbox located at the top-left corner of the webpage, which is labeled \"Search\" and has a placeholder text \"Where is this?\". \n\n**Page Changes:** \nThe cursor focuses inside the search textbox, indicating it is ready for input. \n\n**Possible Purpose:** \nThe likely intent is to enter a location or point of interest into the search field to find and view its details on the map.\n\n---\n\n### Second Action\n\n**Action:** \nI type \"Massachusetts Institute of Technology\" into the search textbox. \n\n**Page Changes:** \nAs I type, a dropdown list appears below the search textbox, displaying search suggestions related to the entered text. \n\n**Possible Purpose:** \nThe purpose is to use the autocomplete feature to quickly select the correct entry for \"Massachusetts Institute of Technology\" from the suggestions.\n\n---\n\n### Third Action\n\n**Action:** \nI press the \"Enter\" key or click the \"Go\" button next to the search textbox. \n\n**Page Changes:** \nThe webpage transitions to display search results for \"Massachusetts Institute of Technology.\" The map on the right side of the page zooms in to the location of MIT, highlighting the area with an orange outline. On the left side, a panel appears with detailed information about the selected location, including its name, version number, and tags. \n\n**Possible Purpose:** \nThe intent is to confirm the search query and view the specific geographic data and details associated with the Massachusetts Institute of Technology on OpenStreetMap.\n\n---\n\n### Fourth Action\n\n**Action:** \nI scroll down slightly within the information panel on the left side of the page. \n\n**Page Changes:** \nThe content within the information panel shifts upward, revealing additional details such as tags and version history related to the \"Massachusetts Institute of Technology\" entry. \n\n**Possible Purpose:** \nThe purpose is to review more detailed metadata and historical information about the mapped location, which may include attributes like alternative names, administrative codes, and edit history.\n\n---\n\n### Summary of Observed Actions:\n1. I clicked on the search textbox and focused it.\n2. I typed \"Massachusetts Institute of Technology\" into the search textbox.\n3. I submitted the search query by pressing \"Enter\" or clicking \"Go,\" resulting in the map zooming to MIT's location and displaying relevant details.\n4. I scrolled down in the information panel to view additional metadata about the location. \n\nEach action is performed with the clear intent of locating and examining detailed geographic information for the specified institution on OpenStreetMap.\n\n---\n\n## Part 2\n### Step-by-Step Actions in the Video Segment\n\n#### 1. **Action:** I click on the text box labeled \"To\" in the directions panel.\n - **Page Changes:** The text box becomes active, allowing me to input a destination.\n - **Possible Purpose:** My intention is to specify a destination for the route directions.\n\n#### 2. **Action:** I type \"Harvard University\" into the active text box.\n - **Page Changes:** As I type, suggestions appear below the text box, listing possible matches for \"Harvard University.\"\n - **Possible Purpose:** I am selecting \"Harvard University\" as my destination to get directions from the starting point (Massachusetts Institute of Technology) to this location.\n\n#### 3. **Action:** I select \"Harvard University\" from the suggestion list.\n - **Page Changes:** The text box now displays \"Harvard University\" as the selected destination. The map and directions panel begin to update to show the route from MIT to Harvard University.\n - **Possible Purpose:** By selecting the suggested entry, I confirm \"Harvard University\" as the exact destination for the route.\n\n#### 4. **Action:** I click the \"Go\" button next to the destination text box.\n - **Page Changes:** The map updates to display the calculated route from Massachusetts Institute of Technology to Harvard University. The route is highlighted on the map, and the directions panel shows step-by-step instructions for the journey.\n - **Possible Purpose:** I initiate the process to generate and display the route directions between the two specified locations.\n\n### Summary\nIn this video segment, I interact with the OpenStreetMap directions feature by specifying a destination (\"Harvard University\") and generating route directions from the starting point (\"Massachusetts Institute of Technology\"). Each action is focused on setting up and confirming the destination to obtain the desired route information.\n\n---\n\n## Part 3\n### Step-by-Step Actions in the Video Segment\n\n#### 1. **Action:** I click on the \"Foot (OSRM)\" dropdown menu.\n - **Page Changes:** The dropdown menu expands, revealing options for different modes of transportation such as \"Car (OSRM),\" \"Bicycle (OSRM),\" and \"Foot (OSRM).\"\n - **Possible Purpose:** The likely intent is to select a mode of transportation for the directions. In this case, it appears that \"Foot (OSRM)\" is already selected, indicating a preference for walking directions.\n\n#### 2. **Action:** I click the \"Go\" button.\n - **Page Changes:** After clicking \"Go,\" the map updates to display a route between the two specified locations: \"Massachusetts Institute of Technology, Allston Street, Cambridge, MA\" and \"Harvard University, Hurlbut Street, Avon Hill, Cambridge, MA.\" The route is highlighted in blue, and a list of step-by-step directions appears on the left side of the screen.\n - **Possible Purpose:** The purpose of this action is to generate and display walking directions from the starting point to the destination. The updated map and directions provide a visual and textual guide for the journey.\n\n#### 3. **Action:** I scroll through the step-by-step directions.\n - **Page Changes:** As I scroll, the list of directions moves up and down, allowing me to view each step of the route. The map remains static during this action.\n - **Possible Purpose:** The intent is to review the detailed instructions for the walking route. This helps in understanding the path and any specific turns or landmarks along the way.\n\n#### 4. **Action:** I hover over the map near the endpoint of the route.\n - **Page Changes:** Hovering over the map does not cause any immediate changes, but it may be preparing for a more detailed interaction, such as zooming in or selecting a specific part of the route.\n - **Possible Purpose:** The likely purpose is to get a closer look at a particular section of the route or to prepare for further interaction with the map, such as adjusting the view or examining nearby points of interest.\n\n### Summary\nIn this video segment, I interact with the OpenStreetMap website to obtain and review walking directions between two specified locations. I select the mode of transportation, generate the route, and then examine the provided directions and map visualization. Each action is focused on understanding and preparing for the walking journey from start to finish.\n\n---\n\n## Part 4\n### Step-by-Step Actions in the Video Segment\n\n#### 1. **Action**: I click on the \"To\" textbox in the directions panel.\n - **Page Changes**: The cursor is now active inside the \"To\" textbox, indicating it is ready for input.\n - **Possible Purpose**: The likely intent is to change or specify the destination address for the directions.\n\n#### 2. **Action**: I type \"Harvard University, Dunster Street, Old Cam\" into the \"To\" textbox.\n - **Page Changes**: As I type, a dropdown suggestion appears below the textbox with possible matches for the entered text.\n - **Possible Purpose**: The purpose is to select a specific location at Harvard University as the destination for the directions.\n\n#### 3. **Action**: I click on the suggested option \"Harvard University, Dunster Street, Old Cambridge\" from the dropdown.\n - **Page Changes**: The selected suggestion fills the \"To\" textbox, and the map updates to show the new route from the starting point to this destination.\n - **Possible Purpose**: This action confirms the desired destination, allowing the system to calculate and display the updated route.\n\n#### 4. **Action**: I click the \"Go\" button next to the \"To\" textbox.\n - **Page Changes**: The directions panel updates with a new set of step-by-step directions, and the map highlights the calculated route.\n - **Possible Purpose**: The intent is to generate and view the detailed directions from the starting point to the newly specified destination.\n\n#### 5. **Action**: I observe the updated directions and map.\n - **Page Changes**: No further interaction occurs; the focus is on reviewing the provided directions and visual route.\n - **Possible Purpose**: The purpose is to review the generated directions and ensure they meet the requirements or expectations for the journey.\n\n### Summary\nIn this video segment, I interact with the directions feature on the OpenStreetMap website by specifying a new destination (\"Harvard University, Dunster Street, Old Cambridge\") and generating the corresponding route. Each step involves selecting and confirming the destination, which results in updated directions and a visual route on the map. The final action involves reviewing the provided information.\n\n---\n\n## Part 5\n### Step-by-Step Actions in the Video Segment\n\n#### 1. **Action**: I click on the text box for the destination location.\n - **Page Changes**: The text box becomes active, allowing me to input or modify the destination.\n - **Possible Purpose**: My intention is to change or confirm the destination for the route.\n\n#### 2. **Action**: I type \"Boston Logan International\" into the destination text box.\n - **Page Changes**: As I type, a dropdown menu appears with suggestions that match my input. The map updates slightly to reflect the new destination query.\n - **Possible Purpose**: I am specifying a new destination to get directions from the starting point (Harvard University) to Boston Logan International Airport.\n\n#### 3. **Action**: I select \"Boston Logan International Airport, 1, Harborside Dr\" from the dropdown menu.\n - **Page Changes**: The selected destination is confirmed in the text box, and the map recalculates the route based on this new destination.\n - **Possible Purpose**: By selecting the specific airport location, I ensure accurate routing to the correct address.\n\n#### 4. **Action**: I click on the dropdown menu for the travel mode.\n - **Page Changes**: The dropdown menu expands, showing options such as \"Foot (OSRM),\" \"Bicycle (OSRM),\" and \"Car (OSRM).\"\n - **Possible Purpose**: I am considering changing the mode of transportation for the route.\n\n#### 5. **Action**: I select \"Car (OSRM)\" from the dropdown menu.\n - **Page Changes**: The map recalculates the route based on car travel, and the directions panel updates with the new estimated distance and time for driving.\n - **Possible Purpose**: I have decided to view the route and directions for traveling by car instead of walking.\n\n#### 6. **Action**: I click the \"Go\" button.\n - **Page Changes**: The map fully renders the new route from Harvard University to Boston Logan International Airport by car. The directions panel now displays detailed step-by-step instructions for the car journey, including distance (14Km) and estimated time (0:19).\n - **Possible Purpose**: I initiate the route calculation to obtain the final directions for the car trip.\n\n### Summary\nIn this video segment, I update the destination to Boston Logan International Airport and switch the travel mode to car. After confirming these selections, I generate the route to receive detailed driving directions from Harvard University to the airport. Each action is focused on obtaining accurate and relevant travel information for a car journey.\n\n---\n\n## Part 6\n### Part 1: Observing the Actions in the Provided Video Segment\n\n#### Step 1:\n- **Action:** I click on the \"locator\" text box located at the top of the left sidebar.\n- **Page Changes:** The text box becomes active, allowing for input.\n- **Possible Purpose:** The likely intent is to enter a starting location for directions.\n\n#### Step 2:\n- **Action:** I type \"Harvard University, Dunster Street, Old Cambridge\" into the active locator text box.\n- **Page Changes:** As I type, suggestions appear below the text box, offering autocomplete options based on the input.\n- **Possible Purpose:** The purpose is to specify a precise starting point for the route.\n\n#### Step 3:\n- **Action:** I select the suggested option that matches \"Harvard University, Dunster Street, Old Cambridge\" from the dropdown list.\n- **Page Changes:** The map updates to center on the selected location, and a green marker appears at Harvard University.\n- **Possible Purpose:** This action confirms the starting point for the directions.\n\n#### Step 4:\n- **Action:** I click on the second locator text box (destination field) below the first one.\n- **Page Changes:** The second text box becomes active, ready for input.\n- **Possible Purpose:** The intent is to enter a destination for the route.\n\n#### Step 5:\n- **Action:** I type \"Logan International Airport, 1, Harborside Dr\" into the active destination text box.\n- **Page Changes:** Similar to the previous step, suggestions appear as I type, offering autocomplete options.\n- **Possible Purpose:** The purpose is to specify the destination point for the route.\n\n#### Step 6:\n- **Action:** I select the suggested option that matches \"Logan International Airport, 1, Harborside Dr\" from the dropdown list.\n- **Page Changes:** The map updates again, now showing both the starting point (green marker) and the destination (red marker). A route is calculated and displayed on the map.\n- **Possible Purpose:** This action confirms the destination and triggers the generation of directions between the two points.\n\n#### Step 7:\n- **Action:** I click the \"Go\" button located next to the destination field.\n- **Page Changes:** The directions panel on the left side of the screen populates with a detailed list of step-by-step directions from the starting point to the destination.\n- **Possible Purpose:** The intent is to finalize the route calculation and view the complete set of directions.\n\n#### Step 8:\n- **Action:** I scroll through the directions panel to review the listed steps.\n- **Page Changes:** The directions remain static as I scroll, but the map may highlight segments of the route corresponding to the steps as I move through the list.\n- **Possible Purpose:** The purpose is to read and understand the provided directions for the journey.\n\n### Summary\nIn this video segment, I perform a series of actions to generate and review directions from Harvard University to Logan International Airport using the OpenStreetMap website. Each step involves interacting with the UI elements to specify locations, trigger route calculation, and examine the resulting directions. The observed actions are methodical and focused on obtaining clear navigation instructions.\n\n# Playwright action\n[\n {\n \"action_uid\": \"textbox_Search\",\n \"idx\": 2,\n \"action_repr\": \"frame.clickget_by_role(\\\"textbox\\\", name=\\\"Search\\\")\",\n \"before\": {\n \"url\": \"http://miniserver1875.asuscomm.com:3000/#map=7/42.896/-75.108\"\n },\n \"after\": {\n \"url\": \"http://miniserver1875.asuscomm.com:3000/#map=7/42.896/-75.108\"\n }\n },\n {\n \"action_uid\": \"button_Go\",\n \"idx\": 3,\n \"action_repr\": \"frame.clickget_by_role(\\\"button\\\", name=\\\"Go\\\")\",\n \"before\": {\n \"url\": \"http://miniserver1875.asuscomm.com:3000/#map=7/42.896/-75.108\"\n },\n \"after\": {\n \"url\": \"http://miniserver1875.asuscomm.com:3000/#map=7/42.896/-75.108\"\n }\n },\n {\n \"action_uid\": \"link_Massachusetts Institute of Technology, Allston Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02139, United States\",\n \"idx\": 4,\n \"action_repr\": \"frame.clickget_by_role(\\\"link\\\", name=\\\"Massachusetts Institute of Technology, Allston Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02139, United States\\\")\",\n \"before\": {\n \"url\": \"http://miniserver1875.asuscomm.com:3000/relation/65066\"\n },\n \"after\": {\n \"url\": \"http://miniserver1875.asuscomm.com:3000/relation/65066\"\n }\n },\n {\n \"action_uid\": \"action_5\",\n \"idx\": 5,\n \"action_repr\": \"frame.clicklocator(\\\"#map\\\")\",\n \"before\": {\n \"url\": \"http://miniserver1875.asuscomm.com:3000/relation/65066\"\n },\n \"after\": {\n \"url\": \"http://miniserver1875.asuscomm.com:3000/relation/65066\"\n }\n },\n {\n \"action_uid\": \"action_6\",\n \"idx\": 6,\n \"action_repr\": \"frame.clicklocator(\\\"#map\\\")\",\n \"before\": {\n \"url\": \"http://miniserver1875.asuscomm.com:3000/relation/65066\"\n },\n \"after\": {\n \"url\": \"http://miniserver1875.asuscomm.com:3000/relation/65066\"\n }\n },\n {\n \"action_uid\": \"link_Directions from here\",\n \"idx\": 20,\n \"action_repr\": \"frame.clickget_by_role(\\\"link\\\", name=\\\"Directions from here\\\")\",\n \"before\": {\n \"url\": \"http://miniserver1875.asuscomm.com:3000/relation/65066\"\n },\n \"after\": {\n \"url\": \"http://miniserver1875.asuscomm.com:3000/relation/65066\"\n }\n },\n {\n \"action_uid\": \"textbox_To\",\n \"idx\": 25,\n \"action_repr\": \"frame.clickget_by_role(\\\"textbox\\\", name=\\\"To\\\")\",\n \"before\": {\n \"url\": \"http://miniserver1875.asuscomm.com:3000/relation/65066\"\n },\n \"after\": {\n \"url\": \"http://miniserver1875.asuscomm.com:3000/relation/65066\"\n }\n },\n {\n \"action_uid\": \"action_18\",\n \"idx\": 18,\n \"action_repr\": \"frame.selectOptionget_by_role(\\\"combobox\\\")\",\n \"before\": {\n \"url\": \"http://miniserver1875.asuscomm.com:3000/relation/65066\"\n },\n \"after\": {\n \"url\": \"http://miniserver1875.asuscomm.com:3000/relation/65066\"\n }\n },\n {\n \"action_uid\": \"button_Marker\",\n \"idx\": 19,\n \"action_repr\": \"frame.clickget_by_role(\\\"button\\\", name=\\\"Marker\\\").nth(1)\",\n \"before\": {\n \"url\": \"http://miniserver1875.asuscomm.com:3000/relation/65066\"\n },\n \"after\": {\n \"url\": \"http://miniserver1875.asuscomm.com:3000/relation/65066\"\n }\n },\n {\n \"action_uid\": \"action_26\",\n \"idx\": 26,\n \"action_repr\": \"frame.selectOptionget_by_role(\\\"combobox\\\")\",\n \"before\": {\n \"url\": \"http://miniserver1875.asuscomm.com:3000/directions?engine=fossgis_osrm_car&route=42.3679%2C-71.1268%3B42.3632%2C-71.0136\"\n },\n \"after\": {\n \"url\": \"http://miniserver1875.asuscomm.com:3000/directions?engine=fossgis_osrm_car&route=42.3679%2C-71.1268%3B42.3632%2C-71.0136\"\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```",
|
||
"response": "<think>\nOkay, let's tackle this problem. The user wants to find out the duration required to first walk from MIT to Harvard University and then drive to Boston Logan International Airport. \n\nFirst, I need to look at all the provided annotation parts and the playwright actions. Let's start by understanding each part. \n\nPart 1 involves searching for MIT on OpenStreetMap. The user clicks the search box, types MIT, submits, and views details. The playwright actions here are steps 2, 3,4, etc. But looking at the playwright JSON, the first actions are clicking the search textbox (action_uid textbox_Search, idx 2) and then clicking Go (idx3). Then selecting MIT from the link (idx4). So Part 1 corresponds to setting up the starting point as MIT.\n\nPart 2 is about setting Harvard as the destination. The user clicks the \"To\" textbox, types Harvard, selects from suggestions, and clicks Go. Playwright actions here might be idx25 (textbox_To), but need to check the order. The directions from here link (idx20) might be part of initiating directions.\n\nPart 3 involves changing the travel mode to Foot (walking). The user selects Foot (OSRM) and generates the route. The playwright actions here include selecting the combobox (idx18 and 26) which might be changing the transport mode.\n\nPart 4 seems to refine the destination to a specific address at Harvard. More steps in the \"To\" box, but perhaps this is part of the same strategy as Part 2.\n\nPart 5 changes the destination to Boston Logan and switches to Car mode. The user types the airport, selects it, changes the mode to Car, and clicks Go. Playwright actions here would involve selecting the destination textbox again, typing, selecting the airport, changing the combobox to Car (idx26?), and clicking Go.\n\nPart 6 seems to set both start and end points again, but maybe this is part of the same process as Part 5. However, the key is to first get walking directions from MIT to Harvard, then driving from Harvard to the airport.\n\nNow, compiling the strategies. The overall objective is to get two durations: walking from MIT to Harvard, then driving to the airport. So the user needs to first set up the walking route, note the duration, then change the destination to the airport and switch to car mode, and note that duration.\n\nLooking at the playwright actions, the steps are:\n\n- Click search (idx2), Go (idx3), select MIT (idx4). Then click on the map (idx5,6). Then click \"Directions from here\" (idx20). Then click the To textbox (idx25), type Harvard, select it. Then change the mode via combobox (idx18 and 26). Then proceed to set the airport as destination and change mode again.\n\nBut the exact sequence in the playwright actions is a bit jumbled. For example, the combobox selections (idx18 and 26) are for changing the transport mode. The final URL after some actions is directions with engine=fossgis_osrm_car, which indicates car mode.\n\nPutting it all together, the strategies would be:\n\n1. Search for MIT and set as the starting point.\n2. Generate walking route to Harvard University.\n3. Change destination to Boston Logan Airport and switch to car mode to get driving duration.\n\nEach strategy has sub-strategies and specific actions. For example, Strategy 1 involves searching MIT, selecting it, and initiating directions. Strategy 2 involves inputting Harvard as destination, selecting walking mode, and generating the route. Strategy 3 is changing the destination to the airport, switching to car, and getting the driving time.\n\nNow, mapping each action in the annotation parts to the playwright steps. For example, in Strategy 1, clicking the search box is playwright idx2, typing MIT is not directly in the playwright actions but perhaps part of the text input. The \"Go\" button is idx3. Then selecting MIT from the link is idx4.\n\nIn Strategy 2, after setting MIT as start, clicking \"Directions from here\" (idx20), then To textbox (idx25), typing Harvard, selecting from suggestions, then setting mode to Foot (OSRM) via combobox (idx18?), then clicking Go.\n\nIn the playwright actions, after idx20 (directions from here), the To textbox is clicked (idx25). Then combobox selection (idx18) might be changing the mode. Then in Part 5, changing to car mode is idx26.\n\nSo the JSON structure should map each action to the playwright idx and instruction.\n\nThe final JSON should have strategies, each with substrategies and actions, each action with description, playwright idx, and instruction.\n\nFor example, Strategy 1: Navigate to MIT as starting point.\n\nSubstrategies: Search for MIT, select from results, initiate directions.\n\nActions under search would be click search box (idx2), type MIT, press Go (idx3), select MIT link (idx4).\n\nBut the playwright actions don't show the actual typing, only the clicks and selections. So the actions would be:\n\n- Click search textbox (idx2)\n- Click Go (idx3) – but wait, after typing, the user presses Enter or Go. The playwright action for Go is idx3. Then selecting MIT from the link (idx4).\n\nBut the annotations mention pressing Enter or Go after typing. So the playwright steps for Part 1 are idx2 (click search), then typing (not captured in playwright actions?), then idx3 (click Go), then idx4 (select MIT link).\n\nBut the playwright actions don't capture the actual typing, only the clicks and selections. So the actions would be:\n\n1. search box click (idx2)\n2. Go button click (idx3)\n3. select MIT link (idx4)\n\nBut in the annotation, after typing MIT, they press Enter or click Go. So the playwright action for Go is idx3, which is after the search box click. Then, after that, the user is taken to the MIT page, and then they click \"Directions from here\" (idx20).\n\nSo Strategy 1 would be:\n\nSubstrategy 1: Search and select MIT.\n\nActions:\n\n- Click search textbox (idx2)\n- Type \"Massachusetts Institute of Technology\" (not captured in playwright, but part of the annotation)\n- Click Go (idx3)\n- Select MIT from results (idx4)\n\nThen, substrategy 2: Initiate directions from MIT.\n\nAction: Click \"Directions from here\" link (idx20)\n\nThen Strategy 2: Set Harvard as destination for walking.\n\nSubstrategy: Input destination and select walking mode.\n\nActions:\n\n- Click To textbox (idx25)\n- Type \"Harvard University\" and select from suggestions (not in playwright, but in annotations)\n- Select Foot (OSRM) from dropdown (idx18)\n- Click Go (maybe another Go click, but in playwright actions, after setting To, perhaps the Go is part of the directions panel)\n\nWait, in the playwright actions, after setting the To field (idx25), there's a combobox selection (idx18) which is changing the mode. Then clicking Go again.\n\nBut in the example, the user might have to click Go after setting the destination and mode.\n\nBut the playwright actions for Go after setting To might be another button click. However, looking at the playwright JSON, after idx25 (To textbox), there's idx18 (selectOption combobox), which is changing the mode to Foot. Then idx19 is clicking a Marker button, but not sure. Then idx20 is \"Directions from here\" again. Hmm, this is a bit confusing.\n\nAlternatively, perhaps the combobox selection (idx18) is changing the transport mode to Foot, and then clicking Go (which might be another action, but in the playwright JSON, the Go after setting To might be part of the directions panel's Go button.\n\nBut the playwright actions are a bit limited. For example, in the JSON, after selecting the To (idx25), there's a combobox selection (idx18) which is changing the mode. Then clicking the Go button (maybe idx3 again, but not sure).\n\nThis is a bit tricky. The key is to map the described actions in the annotations to the playwright actions provided.\n\nIn Part 3, the user selects Foot (OSRM) from the dropdown. The playwright action is idx18: frame.selectOptionget_by_role(\"combobox\"). So idx18 is selecting the transport mode.\n\nThen, clicking Go (action_uid button_Go, idx3 again?), but in the playwright JSON, after selecting the combobox (idx18), there's action_uid button_Marker (idx19), which might be unrelated. Then later, in Part 5, when changing to Car, the combobox is selected again (idx26).\n\nSo for Strategy 2, after setting the To to Harvard, the user selects Foot (OSRM) via idx18, then clicks Go (maybe idx3 or another Go button). But in the playwright JSON, after idx18, there's idx20 (Directions from here), which might be part of this step.\n\nAlternatively, perhaps the Go button in the directions panel is a different element, and the playwright action for that is not clearly captured.\n\nThis requires careful mapping. Let's proceed step by step.\n\nThe final answer should structure the strategies, substrategies, and actions with the correct playwright indices and instructions.\n\nAnother approach: look at the URLs in the playwright actions. The initial URL is ...#map=7/42.896/-75.108. After selecting MIT, the URL changes to .../relation/65066. Then, when initiating directions, the URL becomes .../directions?engine=...car... which is after changing to car mode.\n\nBut in Part 3, the user is generating walking directions, which would have engine=fossgis_osrm_foot. However, in the playwright JSON, the final URL after some actions is .../directions?engine=fossgis_osrm_car..., which is car mode. So that's after Part 5.\n\nSo the walking directions would have a different engine parameter. But the playwright actions don't show that URL, which suggests that the trace might not capture all steps.\n\nGiven the complexity, the JSON output should map the described actions to the playwright steps as best as possible, even if some steps are inferred.\n\nSo, the final JSON would have:\n\nStrategy 1: Set MIT as starting point.\n\nSubstrategies:\n\n- Search for MIT: actions include idx2 (click search), idx3 (Go), idx4 (select MIT link).\n\nStrategy 2: Generate walking directions to Harvard.\n\nSubstrategies:\n\n- Initiate directions: idx20 (Directions from here).\n\n- Set destination to Harvard: idx25 (To textbox), typing Harvard, selecting from suggestions (not in playwright, but described in annotations).\n\n- Select walking mode: idx18 (combobox selection for Foot).\n\n- Generate route: click Go (maybe idx3 or another Go button, but in playwright, after idx25 and 18, there's no Go action except idx3, which might be reused).\n\nStrategy 3: Switch to car and set destination to airport.\n\nSubstrategies:\n\n- Change destination to Boston Logan: click To textbox, type airport, select from suggestions.\n\n- Select car mode: idx26 (combobox selection for Car).\n\n- Generate route: click Go.\n\nEach action in the JSON needs to reference the playwright idx and instruction.\n\nBut some actions in the annotations don't have corresponding playwright steps, like typing. Since the playwright trace only includes clicks and selections, not keystrokes, those steps might be omitted in the JSON, but the description should still include them for clarity.\n\nSo, the final JSON will have strategies and actions that combine the annotation descriptions with the available playwright actions.\n</think>\n\n```json\n[\n {\n \"strategy\": \"Set Massachusetts Institute of Technology (MIT) as Starting Point\",\n \"substrategies\": [\n {\n \"substrategy\": \"Search and Select MIT\",\n \"actions\": [\n {\n \"description\": \"Click the search textbox labeled 'Search'\",\n \"playwright_idx\": 2,\n \"playwright_instruction\": \"frame.clickget_by_role(\\\"textbox\\\", name=\\\"Search\\\")\"\n },\n {\n \"description\": \"Submit search query for MIT\",\n \"playwright_idx\": 3,\n \"playwright_instruction\": \"frame.clickget_by_role(\\\"button\\\", name=\\\"Go\\\")\"\n },\n {\n \"description\": \"Select MIT from search results\",\n \"playwright_idx\": 4,\n \"playwright_instruction\": \"frame.clickget_by_role(\\\"link\\\", name=\\\"Massachusetts Institute of Technology...\\\")\"\n }\n ]\n },\n {\n \"substrategy\": \"Initiate Directions from MIT\",\n \"actions\": [\n {\n \"description\": \"Click 'Directions from here' to set MIT as start\",\n \"playwright_idx\": 20,\n \"playwright_instruction\": \"frame.clickget_by_role(\\\"link\\\", name=\\\"Directions from here\\\")\"\n }\n ]\n }\n ]\n },\n {\n \"strategy\": \"Generate Walking Route to Harvard University\",\n \"substrategies\": [\n {\n \"substrategy\": \"Set Harvard University as Destination\",\n \"actions\": [\n {\n \"description\": \"Click the 'To' textbox in directions panel\",\n \"playwright_idx\": 25,\n \"playwright_instruction\": \"frame.clickget_by_role(\\\"textbox\\\", name=\\\"To\\\")\"\n }\n ]\n },\n {\n \"substrategy\": \"Select Walking Mode and Generate Route\",\n \"actions\": [\n {\n \"description\": \"Select 'Foot (OSRM)' from transportation dropdown\",\n \"playwright_idx\": 18,\n \"playwright_instruction\": \"frame.selectOptionget_by_role(\\\"combobox\\\")\"\n }\n ]\n }\n ]\n },\n {\n \"strategy\": \"Calculate Driving Route to Boston Logan International Airport\",\n \"substrategies\": [\n {\n \"substrategy\": \"Update Destination to Airport\",\n \"actions\": [\n {\n \"description\": \"Modify 'To' field with Boston Logan International Airport\",\n \"playwright_idx\": 25,\n \"playwright_instruction\": \"frame.clickget_by_role(\\\"textbox\\\", name=\\\"To\\\")\"\n }\n ]\n },\n {\n \"substrategy\": \"Switch to Car Mode and Finalize Route\",\n \"actions\": [\n {\n \"description\": \"Select 'Car (OSRM)' from transportation dropdown\",\n \"playwright_idx\": 26,\n \"playwright_instruction\": \"frame.selectOptionget_by_role(\\\"combobox\\\")\"\n }\n ]\n }\n ]\n }\n]\n```",
|
||
"final_output": [
|
||
{
|
||
"strategy": "Set Massachusetts Institute of Technology (MIT) as Starting Point",
|
||
"substrategies": [
|
||
{
|
||
"substrategy": "Search and Select MIT",
|
||
"actions": [
|
||
{
|
||
"description": "Click the search textbox labeled 'Search'",
|
||
"playwright_idx": 2,
|
||
"playwright_instruction": "frame.clickget_by_role(\"textbox\", name=\"Search\")"
|
||
},
|
||
{
|
||
"description": "Submit search query for MIT",
|
||
"playwright_idx": 3,
|
||
"playwright_instruction": "frame.clickget_by_role(\"button\", name=\"Go\")"
|
||
},
|
||
{
|
||
"description": "Select MIT from search results",
|
||
"playwright_idx": 4,
|
||
"playwright_instruction": "frame.clickget_by_role(\"link\", name=\"Massachusetts Institute of Technology...\")"
|
||
}
|
||
]
|
||
},
|
||
{
|
||
"substrategy": "Initiate Directions from MIT",
|
||
"actions": [
|
||
{
|
||
"description": "Click 'Directions from here' to set MIT as start",
|
||
"playwright_idx": 20,
|
||
"playwright_instruction": "frame.clickget_by_role(\"link\", name=\"Directions from here\")"
|
||
}
|
||
]
|
||
}
|
||
]
|
||
},
|
||
{
|
||
"strategy": "Generate Walking Route to Harvard University",
|
||
"substrategies": [
|
||
{
|
||
"substrategy": "Set Harvard University as Destination",
|
||
"actions": [
|
||
{
|
||
"description": "Click the 'To' textbox in directions panel",
|
||
"playwright_idx": 25,
|
||
"playwright_instruction": "frame.clickget_by_role(\"textbox\", name=\"To\")"
|
||
}
|
||
]
|
||
},
|
||
{
|
||
"substrategy": "Select Walking Mode and Generate Route",
|
||
"actions": [
|
||
{
|
||
"description": "Select 'Foot (OSRM)' from transportation dropdown",
|
||
"playwright_idx": 18,
|
||
"playwright_instruction": "frame.selectOptionget_by_role(\"combobox\")"
|
||
}
|
||
]
|
||
}
|
||
]
|
||
},
|
||
{
|
||
"strategy": "Calculate Driving Route to Boston Logan International Airport",
|
||
"substrategies": [
|
||
{
|
||
"substrategy": "Update Destination to Airport",
|
||
"actions": [
|
||
{
|
||
"description": "Modify 'To' field with Boston Logan International Airport",
|
||
"playwright_idx": 25,
|
||
"playwright_instruction": "frame.clickget_by_role(\"textbox\", name=\"To\")"
|
||
}
|
||
]
|
||
},
|
||
{
|
||
"substrategy": "Switch to Car Mode and Finalize Route",
|
||
"actions": [
|
||
{
|
||
"description": "Select 'Car (OSRM)' from transportation dropdown",
|
||
"playwright_idx": 26,
|
||
"playwright_instruction": "frame.selectOptionget_by_role(\"combobox\")"
|
||
}
|
||
]
|
||
}
|
||
]
|
||
}
|
||
]
|
||
} |