# Instruction - You are an expert in cleaning process data descriptions. Given a task, you are provided with a set of annotation description data for a certain visual LLM related to human user operation videos. Plus, You are provided with full trace of playwright action, whic includes action and url before and after the action. - You need to analyze all the descriptive data and ultimately summarize a complete and reasonable user operation description that can accomplish the given task. - For each strategy, give a clear list of the low level action sequence. # Task Where is the nearest tea cafe to University of Pittsburgh, and what is the walking distance to it? # Annotation description ### Step-by-Step Actions: 1. **Action:** I click on the search textbox located at the top-left corner of the OpenStreetMap webpage. - **Page Changes:** The cursor is now active inside the search textbox, indicating it is ready for input. - **Possible Purpose:** The likely intent is to enter a search query to find a specific location or point of interest on the map. 2. **Action:** I type the phrase "tea near university of pittsburgh" into the search textbox. - **Page Changes:** The text appears in the search textbox as it is being typed. - **Possible Purpose:** The intent is to search for tea-related locations near the University of Pittsburgh using the OpenStreetMap search functionality. 3. **Action:** I press the "Enter" key or click the "Go" button next to the search textbox. - **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. - **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. 4. **Action:** I observe the search results page showing "No results found." - **Page Changes:** There are no further changes to the page; it remains on the search results screen with the same message. - **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. ### Summary: In 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. # Playwright action [ { "action_uid": "textbox_Search", "idx": 17, "action_repr": "frame.pressget_by_role(\"textbox\", name=\"Search\")ArrowLeft", "before": { "url": "http://ec2-3-135-39-80.us-east-2.compute.amazonaws.com:3000/#map=7/42.896/-75.108" }, "after": { "url": "http://ec2-3-135-39-80.us-east-2.compute.amazonaws.com:3000/#map=7/42.896/-75.108" } }, { "action_uid": "button_Go", "idx": 18, "action_repr": "frame.clickget_by_role(\"button\", name=\"Go\")", "before": { "url": "http://ec2-3-135-39-80.us-east-2.compute.amazonaws.com:3000/#map=7/42.896/-75.108" }, "after": { "url": "http://ec2-3-135-39-80.us-east-2.compute.amazonaws.com:3000/#map=7/42.896/-75.108" } } ] # Output format - 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, - 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。 - 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。 # Example ### Complete User Operation Description to Display Labeled Issues in kkroening/ffmpeg-python **Objective:** Filter and display all issues labeled as "question" in the kkroening/ffmpeg-python repository. --- #### **Strategy 1: Navigate to the Repository** **Low-Level Action Sequence:** 1. **Search for the user "kkroening"** - Click the global search bar (placeholder: "Search GitLab"). - Type "kkroening" and press `Enter`. 2. **Select the user from results** - Click the "Users" tab in search results. - Click on "Karl Kroening @kkroening" in the user list. 3. **Access the repository** - Navigate to the "Personal projects" section. - Click on the "ffmpeg-python" project. --- #### **Strategy 2: Filter Issues by Label** **Low-Level Action Sequence:** 1. **Open the Issues tab** - Scroll to the left sidebar menu. - Click the "Issues" tab (displaying the count, e.g., "Issues 402"). 2. **Apply label filtering** - Click the search/filter bar in the issues list. - Select the "Label" dropdown from the filter options. - Type or select "question" from the label dropdown. - Click the search/apply button to confirm the filter. --- #### **Final Oberservation** The issues list will refresh to show only issues with the "question" label. The URL will reflect the filter: `.../ffmpeg-python/-/issues/?label_name[]=question`. --- ### Key Observations from Playwright Trace - The final URL after filtering: `http://ec2-3-135-39-80.../ffmpeg-python/-/issues/?label_name%5B%5D=question` confirms the "question" label filter is applied. - Critical interactions include selecting the "Label" dropdown and explicitly choosing "question" to refine results. ### Final output ```json [{ "strategy" : "Navigate to the Repository", "substrategies": [ { "substrategy": "Search for the user \"kkroening\"", "actions" : [ { "description": "Click the global search bar (placeholder: \"Search GitLab\"). ", "playwright_idx" : 18, "playwright_instruction" : "frame.pressget_by_placeholder(\"Search GitLab\")Enter" } ] }, { "substrategy": "Select the user from results", "actions" : [ ] } ] }, { "strategy" : "Filter Issues by Label", "substrategies" : [ ] }] ```