# 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
Reply to the post with my comment "???"

# Annotation description
### Step-by-Step Actions:

1. **Action:** I click on the text box within the "Comments" section.
   - **Page Changes:** The text box becomes active, indicated by a blinking cursor inside it, ready for text input.
   - **Possible Purpose:** The likely intent is to prepare for typing a comment or reply in the discussion thread.

2. **Action:** I type "???" into the active text box.
   - **Page Changes:** The text "???" appears inside the text box where the cursor is located.
   - **Possible Purpose:** The purpose is to input a specific message or query as part of the comment being composed.

3. **Action:** I click the "Post" button below the text box.
   - **Page Changes:** The text "???" that was in the text box is now displayed as a new comment under the existing comments section. The text box clears, and the cursor remains active for further input if needed.
   - **Possible Purpose:** The intent is to submit the typed comment ("???") to the forum, making it visible to other users as part of the ongoing discussion.

4. **Action:** I click on the text box again.
   - **Page Changes:** The text box becomes active once more, with a blinking cursor indicating readiness for additional text input.
   - **Possible Purpose:** The likely intent is to prepare for typing another comment or continuing the discussion with further input.

5. **Action:** I type "???" into the active text box again.
   - **Page Changes:** The text "???" appears inside the text box, replacing any previous content.
   - **Possible Purpose:** The purpose is to compose another comment or reply, this time also using the text "???", possibly to ask a question or express confusion.

6. **Action:** I click the "Post" button below the text box.
   - **Page Changes:** The newly typed "???" is posted as another comment under the existing comments section. The text box clears, and the cursor remains active.
   - **Possible Purpose:** The intent is to submit the second comment ("???") to the forum, adding it to the conversation for others to see and respond to.

### Summary:
In this video segment, I interact with the comments section of a forum post. I activate the text box, type "???", and post it as a comment twice. Each action is focused on contributing to the discussion by submitting short, identical comments. The page updates by displaying these comments under the existing thread, reflecting the successful posting.

# Playwright action
[
  {
    "action_uid": "label_Comment",
    "idx": 0,
    "action_repr": "frame.clickget_by_label(\"Comment\")",
    "before": {
      "url": "http://ec2-3-135-39-80.us-east-2.compute.amazonaws.com:9999/f/technology/134852/ai-experts-disown-musk-backed-campaign-citing-their-research"
    },
    "after": {
      "url": "http://ec2-3-135-39-80.us-east-2.compute.amazonaws.com:9999/f/technology/134852/ai-experts-disown-musk-backed-campaign-citing-their-research"
    }
  },
  {
    "action_uid": "text_???",
    "idx": 1,
    "action_repr": "frame.clicklocator(\"form[name=\\\"reply_to_submission_134852\\\"]\").get_by_text(\"???\")",
    "before": {
      "url": "http://ec2-3-135-39-80.us-east-2.compute.amazonaws.com:9999/f/technology/134852/ai-experts-disown-musk-backed-campaign-citing-their-research"
    },
    "after": {
      "url": "http://ec2-3-135-39-80.us-east-2.compute.amazonaws.com:9999/f/technology/134852/ai-experts-disown-musk-backed-campaign-citing-their-research"
    }
  },
  {
    "action_uid": "text_/f/technology AI experts disown Musk-backed campaign citing their research reute",
    "idx": 2,
    "action_repr": "frame.clickget_by_text(\"/f/technology AI experts disown Musk-backed campaign citing their research reute\")",
    "before": {
      "url": "http://ec2-3-135-39-80.us-east-2.compute.amazonaws.com:9999/f/technology/134852/ai-experts-disown-musk-backed-campaign-citing-their-research"
    },
    "after": {
      "url": "http://ec2-3-135-39-80.us-east-2.compute.amazonaws.com:9999/f/technology/134852/ai-experts-disown-musk-backed-campaign-citing-their-research"
    }
  },
  {
    "action_uid": "button_Post",
    "idx": 3,
    "action_repr": "frame.clickget_by_role(\"button\", name=\"Post\")",
    "before": {
      "url": "http://ec2-3-135-39-80.us-east-2.compute.amazonaws.com:9999/f/technology/134852/ai-experts-disown-musk-backed-campaign-citing-their-research"
    },
    "after": {
      "url": "http://ec2-3-135-39-80.us-east-2.compute.amazonaws.com:9999/f/technology/134852/ai-experts-disown-musk-backed-campaign-citing-their-research"
    }
  }
]

# 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" : [
  ]
}]
```