253 lines
14 KiB
Plaintext
253 lines
14 KiB
Plaintext
# Instruction
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- You are an expert in cleaning process data descriptions. Given a task, you are provided with a set of annotation description
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data for a certain visual LLM related to human user operation videos. Plus, You are provided with full trace of playwright action,
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whic includes action and url before and after the action.
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- You need to analyze all the descriptive data and ultimately summarize a complete and reasonable user operation description that can accomplish the given task.
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- For each strategy, give a clear list of the low level action sequence.
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# Task
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What brands appear most frequently among the top search terms?
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# Annotation description
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## Part 1
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### Step-by-Step Actions:
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1. **Action:** I click on the "Reports" menu item in the left sidebar.
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- **Page Changes:** The page transitions from the "Dashboard" to the "Reports" section, displaying various report categories such as "Products in Cart," "Search Terms," "Newsletter Problem Reports," etc.
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- **Possible Purpose:** The likely intent is to access detailed reports to analyze specific metrics or data related to the store's performance.
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2. **Action:** I hover over the "Search Terms" link under the "Reports" section.
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- **Page Changes:** There are no immediate changes to the page, but a tooltip or highlight may appear indicating the link is interactive.
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- **Possible Purpose:** This action suggests an intention to view the search terms report, which could provide insights into what customers are searching for on the website.
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3. **Action:** I click on the "Search Terms" link.
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- **Page Changes:** The page navigates to the "Search Terms Report." This new page displays a table with columns for "ID," "Search Query," "Store," "Results," and "Hits." The table is populated with data showing various search queries, the store they were searched in, the number of results, and the number of hits for each query.
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- **Possible Purpose:** The purpose of this action is to review the search terms used by customers, which can help in understanding customer behavior, optimizing product listings, or improving the search functionality on the website.
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4. **Action:** I scroll down slightly on the "Search Terms Report" page.
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- **Page Changes:** The visible portion of the table updates to show additional rows of search term data.
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- **Possible Purpose:** The intent is to view more entries in the search terms report to gather comprehensive information about customer search patterns.
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### Summary:
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In this video segment, I navigate from the "Dashboard" to the "Reports" section and specifically access the "Search Terms Report." My actions involve clicking and scrolling to view detailed information about customer search queries, likely aiming to analyze this data for business insights or improvements. Each step is methodical, focusing on accessing and reviewing the relevant report data.
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---
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## Part 2
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### Step-by-Step Actions in the Video Segment
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#### 1. **Initial State**
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- **Action:** The video begins with the "Search Terms Report" page open in the Magento admin panel.
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- **Page Changes:** The page displays a table with columns for `ID`, `Search Query`, `Store`, `Results`, and `Hits`. There are 7 records found, as indicated at the top.
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- **Possible Purpose:** The initial state sets the context for managing search terms within the Magento admin interface.
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#### 2. **Hover Over "Search Terms Report" Heading**
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- **Action:** I move the cursor over the "Search Terms Report" heading at the top of the page.
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- **Page Changes:** No changes occur on the page; the cursor movement is purely observational.
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- **Possible Purpose:** This action might be to ensure the correct section of the admin panel is being interacted with or to highlight the current focus area.
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#### 3. **Click on the "Search Query" Column Header**
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- **Action:** I click on the "Search Query" column header.
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- **Page Changes:** The table sorts the entries based on the "Search Query" column, rearranging the order of the records alphabetically.
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- **Possible Purpose:** The intent is to organize the search queries in alphabetical order, likely to find a specific query more easily or to review them systematically.
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#### 4. **Scroll Down the Table**
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- **Action:** I scroll down the table to view more entries.
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- **Page Changes:** Additional rows of the table become visible as I scroll, revealing more search queries and their associated data.
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- **Possible Purpose:** The purpose is to review more search term records that are not initially visible on the screen.
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#### 5. **Hover Over the "Results" Column Header**
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- **Action:** I move the cursor over the "Results" column header.
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- **Page Changes:** No changes occur on the page; this is another observational action.
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- **Possible Purpose:** This could be to prepare for sorting the table by the "Results" column or to inspect the values in this column more closely.
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#### 6. **Click on the "Results" Column Header**
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- **Action:** I click on the "Results" column header.
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- **Page Changes:** The table sorts the entries based on the "Results" column, rearranging the order of the records numerically.
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- **Possible Purpose:** The intent is to organize the entries by the number of results, which can help identify queries with high or low result counts for further analysis.
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#### 7. **Scroll Up the Table**
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- **Action:** I scroll up the table to return to the top of the list.
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- **Page Changes:** The view returns to the top rows of the table, showing the entries with the highest number of results.
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- **Possible Purpose:** This action allows for a review of the top entries based on the new sorting criteria.
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#### 8. **Hover Over the "Hits" Column Header**
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- **Action:** I move the cursor over the "Hits" column header.
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- **Page Changes:** No changes occur on the page.
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- **Possible Purpose:** This might be to prepare for sorting the table by the "Hits" column or to inspect the values in this column.
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#### 9. **Click on the "Hits" Column Header**
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- **Action:** I click on the "Hits" column header.
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- **Page Changes:** The table sorts the entries based on the "Hits" column, rearranging the order of the records numerically.
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- **Possible Purpose:** The intent is to organize the entries by the number of hits, which can help identify the most frequently searched terms.
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#### 10. **Final Review of Sorted Table**
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- **Action:** I review the table after sorting by the "Hits" column.
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- **Page Changes:** The table remains sorted by the "Hits" column, with no further actions taken.
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- **Possible Purpose:** The final review is to analyze the sorted data, possibly to make decisions about search optimization, product visibility, or user behavior based on the most popular search terms.
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### Conclusion
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The video segment shows a systematic approach to analyzing the "Search Terms Report" in the Magento admin panel. The actions include sorting the table by different columns ("Search Query," "Results," and "Hits") to organize and review the data effectively. Each step is performed with the likely intent of gaining insights into user search behavior and optimizing the search functionality or inventory accordingly.
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---
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## Part 3
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In this video segment, I perform the following actions:
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1. **Action**: I hover over the "Search Query" column in the row where the search query is "tanks".
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- **Page Changes**: There are no immediate changes to the webpage as a result of this action.
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- **Possible Purpose**: The likely intent is to focus on or inspect the specific row containing the search query "tanks" for further interaction or analysis.
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2. **Action**: I click on the cell within the "Search Query" column that contains the text "tanks".
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- **Page Changes**: The cell becomes highlighted, indicating it has been selected. Additionally, a tooltip appears with the text "get_by_role('cell', name='tanks')".
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- **Possible Purpose**: The purpose of this action is to select the cell for potential copying, editing, or to trigger an associated function related to the "tanks" search query.
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3. **Action**: I move the cursor away from the selected cell.
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- **Page Changes**: The tooltip disappears, but the cell remains highlighted, confirming it is still selected.
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- **Possible Purpose**: This action might be preparatory, allowing me to decide on the next step after selecting the cell, such as copying the text or performing another operation.
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4. **Action**: I scroll down slightly within the table.
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- **Page Changes**: The visible rows in the table change, revealing additional entries below the previously visible ones. The "tanks" row moves upward slightly but remains in view.
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- **Possible Purpose**: The intent is to view more data in the table, possibly to find related information or to continue analyzing other search queries.
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5. **Action**: I hover over the "Search Query" column in the row where the search query is "nike".
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- **Page Changes**: No immediate changes occur on the page.
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- **Possible Purpose**: The likely intent is to focus on or inspect the specific row containing the search query "nike" for further interaction or analysis.
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6. **Action**: I click on the cell within the "Search Query" column that contains the text "nike".
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- **Page Changes**: The cell becomes highlighted, and a tooltip appears with the text "get_by_role('cell', name='nike')".
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- **Possible Purpose**: The purpose of this action is to select the cell for potential copying, editing, or to trigger an associated function related to the "nike" search query.
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7. **Action**: I move the cursor away from the selected cell.
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- **Page Changes**: The tooltip disappears, but the cell remains highlighted, confirming it is still selected.
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- **Possible Purpose**: This action might be preparatory, allowing me to decide on the next step after selecting the cell, such as copying the text or performing another operation.
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These actions are strictly based on the observations from the provided video segment, focusing solely on the interactions and their immediate effects without additional context or assumptions.
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# Playwright action
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[
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{
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"action_uid": "link_\ue60a Reports",
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"idx": 0,
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"action_repr": "frame.clickget_by_role(\"link\", name=\"\ue60a Reports\")",
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"before": {
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"url": "http://ec2-3-133-227-75.us-east-2.compute.amazonaws.com:7780/admin/admin/dashboard/"
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},
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"after": {
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"url": "http://ec2-3-133-227-75.us-east-2.compute.amazonaws.com:7780/admin/admin/dashboard/"
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}
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},
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{
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"action_uid": "link_Search Terms",
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"idx": 1,
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"action_repr": "frame.clickget_by_role(\"link\", name=\"Search Terms\")",
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"before": {
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"url": "http://ec2-3-133-227-75.us-east-2.compute.amazonaws.com:7780/admin/admin/dashboard/"
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},
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"after": {
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"url": "http://ec2-3-133-227-75.us-east-2.compute.amazonaws.com:7780/admin/admin/dashboard/"
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}
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},
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{
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"action_uid": "cell_Results",
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"idx": 2,
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"action_repr": "frame.clickget_by_role(\"cell\", name=\"Results\")",
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"before": {
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"url": "http://ec2-3-133-227-75.us-east-2.compute.amazonaws.com:7780/admin/search/term/report/"
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},
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"after": {
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"url": "http://ec2-3-133-227-75.us-east-2.compute.amazonaws.com:7780/admin/search/term/report/"
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}
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},
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{
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"action_uid": "cell_\u2193 Results",
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"idx": 3,
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"action_repr": "frame.clickget_by_role(\"cell\", name=\"\u2193 Results\")",
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"before": {
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"url": "http://ec2-3-133-227-75.us-east-2.compute.amazonaws.com:7780/admin/search/term/report/sort/num_results/dir/asc/form_key/ryRSnhD1Wzkxi8pd/"
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},
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"after": {
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"url": "http://ec2-3-133-227-75.us-east-2.compute.amazonaws.com:7780/admin/search/term/report/sort/num_results/dir/asc/form_key/ryRSnhD1Wzkxi8pd/"
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}
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}
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]
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# Output format
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- 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，
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- 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。
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- 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。
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# Example
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### Complete User Operation Description to Display Labeled Issues in kkroening/ffmpeg-python
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**Objective:** Filter and display all issues labeled as "question" in the kkroening/ffmpeg-python repository.
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---
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#### **Strategy 1: Navigate to the Repository**
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**Low-Level Action Sequence:**
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1. **Search for the user "kkroening"**
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- Click the global search bar (placeholder: "Search GitLab").
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- Type "kkroening" and press `Enter`.
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2. **Select the user from results**
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- Click the "Users" tab in search results.
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- Click on "Karl Kroening @kkroening" in the user list.
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3. **Access the repository**
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- Navigate to the "Personal projects" section.
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- Click on the "ffmpeg-python" project.
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---
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#### **Strategy 2: Filter Issues by Label**
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**Low-Level Action Sequence:**
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1. **Open the Issues tab**
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- Scroll to the left sidebar menu.
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- Click the "Issues" tab (displaying the count, e.g., "Issues 402").
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2. **Apply label filtering**
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- Click the search/filter bar in the issues list.
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- Select the "Label" dropdown from the filter options.
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- Type or select "question" from the label dropdown.
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- Click the search/apply button to confirm the filter.
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---
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#### **Final Oberservation**
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The issues list will refresh to show only issues with the "question" label. The URL will reflect the filter:
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`.../ffmpeg-python/-/issues/?label_name[]=question`.
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---
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### Key Observations from Playwright Trace
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- The final URL after filtering:
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`http://ec2-3-135-39-80.../ffmpeg-python/-/issues/?label_name%5B%5D=question`
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confirms the "question" label filter is applied.
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- Critical interactions include selecting the "Label" dropdown and explicitly choosing "question" to refine results.
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### Final output
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```json
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[{
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"strategy" : "Navigate to the Repository",
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"substrategies": [
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{
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"substrategy": "Search for the user \"kkroening\"",
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"actions" : [
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{
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"description": "Click the global search bar (placeholder: \"Search GitLab\"). ",
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"playwright_idx" : 18,
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"playwright_instruction" : "frame.pressget_by_placeholder(\"Search GitLab\")Enter"
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}
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]
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},
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{
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"substrategy": "Select the user from results",
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"actions" : [
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]
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}
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]
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},
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{
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"strategy" : "Filter Issues by Label",
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"substrategies" : [
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]
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}]
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``` |