Brushed up the backend, added writing task 1 academic prompt gen and grading ENCOA-274

ielts_be/services/impl/exam/writing/academic.py

@@ -0,0 +1,48 @@
+from base64 import b64encode
+from typing import List, Dict
+
+from fastapi.datastructures import UploadFile
+
+
+async def get_writing_args_academic(task: int, attachment: UploadFile) -> List[Dict]:
+    writing_args = {
+        "1": {
+            "prompt": (
+                'Analyze the uploaded image and create a detailed IELTS Writing Task 1 Academic prompt.\n'
+                'Based on the visual data presented, craft a prompt that accurately reflects the image\'s '
+                'content, complexity, and academic nature.\n'
+            ),
+            "instructions": (
+                'The generated prompt must:\n'
+                '1. Clearly describe the type of visual representation in the image\n'
+                '2. Provide a concise context for the data shown\n'
+                '3. End with the standard IELTS Task 1 Academic instruction:\n'
+                '"Summarise the information by selecting and reporting the main features, and make comparisons where relevant."'
+            )
+        },
+    }
+
+    if task == 2:
+        raise NotImplemented("Task 2 academic isn't implemented yet, current implementation still uses General Task 2 prompts.")
+
+    messages = [
+        {
+            "role": "user",
+            "content": writing_args[str(task)]["prompt"]
+        },
+        {
+            "role": "user",
+            "content": writing_args[str(task)]["instructions"]
+        }
+    ]
+
+    if task == 1:
+        attachment_bytes = await attachment.read()
+        messages.append({
+            "type": "image_url",
+            "image_url": {
+                "url": f"data:image/{attachment.filename.split('.')[-1]};base64,{b64encode(attachment_bytes).decode('utf-8')}"
+            }
+        })
+
+    return messages