feat: Search application chat log by user

[shaohuzhang1]

feat: Search application chat log by user

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[shaohuzhang1]

The provided code snippet appears to be from an OpenAPI schema definition used in web frameworks like FastAPI or Django REST Framework. Here's a quick review:

Irregularity/Suggestion #1: Redundant Field

• The username field is described twice with the same parameters (type, etc.). This can be reduced.

@@ -65,7 +65,7 @@
         type=OpenApiTypes.STR,
         required=False,
     ),
-    OpenApiParameter(
-        name="username",
-        description="username",
+    OpenApiParameter(
         type=OpenApiTypes.INT,
         required=True,

Suggestion #2: Typographical Corrections

• Corrected _ and " syntax errors. Replace _ with the appropriate import for translations (if needed), and ensure correct quotation marks.

import gettext
t = gettext.translation('messages', localedir='locales', languages=['en'])
_ = t.gettext

@@ -65,4 +65,4 @@
             required=True,
         )
     ],
)

Suggestion #3: Improved Documentation Quality

• Enhance the comments and descriptions where possible to improve clarity.

@@ -65,9 +65,9 @@
type=OpenApiTypes.STR, # Username parameter
required=False,
),
@@ -70,7 +70,8 @@
type=OpenApiTypes.INT, # Minimum number of likes
required=True,
),
@@ -75,7 +76,7 @@
"required": [
@@ -82,9 +83,10 @@
]
}

These changes should help clean up the code and make it more readable. Please ensure they fit within your framework's documentation and context.

[shaohuzhang1]

Review and Optimizations

1. SQL Injection Risk: The current implementation of the get_query_set method uses string formatting directly to construct SQL queries from dictionary keys (application_chat.application_id, application_chat.abstract). This can lead to SQL injection vulnerabilities if untrusted data is used in these strings.

2. Optimization:

   • Instead of creating a dynamic database manager with multiple columns, consider using filtering mechanisms provided by Django's ORM directly based on field names.
   • For better performance when querying large datasets, utilize pagination rather than loading all records into memory at once.

3. Improvements:

   • Validate input fields thoroughly before constructing filters to ensure they match expected formats or types.
   • Consider adding default values or handling missing parameters more gracefully to prevent null errors during query execution.

By addressing these points, you can enhance the security and efficiency of your application chat query serialization process.