feat: add swagger ui for interactive api documentation#358
feat: add swagger ui for interactive api documentation#358Sai-Adithya-M wants to merge 1 commit intoAOSSIE-Org:mainfrom
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📝 WalkthroughWalkthroughAdds conditional Swagger/OpenAPI integration to the Flask server (enabled in development) and inserts OpenAPI-style docstrings for several routes; updates dependency pins and relaxes version constraints while adding flasgger. Changes
Estimated code review effort🎯 2 (Simple) | ⏱️ ~10 minutes Poem
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Actionable comments posted: 2
🤖 Fix all issues with AI agents
In @requirements.txt:
- Line 2: Update the pinned transformers version in requirements.txt from
"transformers==4.46.1" to a fixed version that contains the security fixes (at
least "transformers==4.53.0" or preferably the latest stable like
"transformers==4.57.3"); ensure the requirements entry for "transformers" is
replaced accordingly and run dependency installation/tests to verify
compatibility.
- Line 1: The requirements entry for PyTorch currently allows vulnerable
releases; update the torch version spec in requirements.txt by replacing the
loose "torch>=2.0.0" constraint with a stronger minimum—use "torch>=2.6.0" to
address CVE-2025-32434 (or "torch>=2.7.1" if you also want to cover
CVE-2025-2953); ensure the single line that defines the torch dependency is
changed accordingly so installers cannot pick vulnerable versions.
🧹 Nitpick comments (3)
requirements.txt (2)
8-8: Clarify the rationale for relaxing scipy version constraint.The version constraint was changed from
scipy==1.14.1toscipy>=1.13.0, allowing older versions. While no security issues are flagged, relaxing version constraints can introduce compatibility or behavior differences.What's the reason for this change? If there's no specific need for backward compatibility, consider maintaining the exact pin or using a minimum bound closer to the tested version (e.g.,
scipy>=1.14.0).
34-34: Consider pinningtextblobto a specific version for reproducibility.The dependency
textblobis unpinned, which can lead to reproducibility issues if different versions are installed in different environments. However, this file contains multiple unpinned dependencies (numpy,pandas,spacy,flask,flask_cors,nltk,tokenizers,google-auth, andPyMuPDF), suggesting a mixed pinning strategy. If version flexibility is intentional for these packages, that's acceptable; otherwise, consider standardizing by pinning all or establishing clear criteria for which dependencies should be flexible.backend/server.py (1)
30-32: Add error handling for Swagger initialization.The conditional Swagger initialization lacks error handling. If
flasggerfails to import (e.g., dependency not installed), the application will crash. Consider wrapping in a try-except block for graceful degradation and adding logging.🛡️ Proposed improvement
if os.environ.get("FLASK_ENV") == "development": - from flasgger import Swagger - Swagger(app) + try: + from flasgger import Swagger + Swagger(app) + print("Swagger UI enabled at /apidocs") + except ImportError: + print("Warning: flasgger not installed. Swagger UI disabled.") + except Exception as e: + print(f"Warning: Failed to initialize Swagger: {e}")
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📒 Files selected for processing (2)
backend/server.pyrequirements.txt
🧰 Additional context used
🪛 OSV Scanner (2.3.1)
requirements.txt
[CRITICAL] 1-1: torch 2.0.0: undefined
(PYSEC-2024-250)
[CRITICAL] 1-1: torch 2.0.0: undefined
(PYSEC-2024-251)
[CRITICAL] 1-1: torch 2.0.0: undefined
(PYSEC-2024-252)
[CRITICAL] 1-1: torch 2.0.0: undefined
(PYSEC-2024-259)
[CRITICAL] 1-1: torch 2.0.0: undefined
(PYSEC-2025-41)
[CRITICAL] 1-1: torch 2.0.0: PyTorch susceptible to local Denial of Service
[CRITICAL] 1-1: torch 2.0.0: PyTorch: torch.load with weights_only=True leads to remote code execution
[CRITICAL] 1-1: torch 2.0.0: PyTorch heap buffer overflow vulnerability
[CRITICAL] 1-1: torch 2.0.0: PyTorch Improper Resource Shutdown or Release vulnerability
[CRITICAL] 1-1: torch 2.0.0: Pytorch use-after-free vulnerability
[HIGH] 2-2: transformers 4.46.1: undefined
(PYSEC-2024-227)
[HIGH] 2-2: transformers 4.46.1: undefined
(PYSEC-2024-228)
[HIGH] 2-2: transformers 4.46.1: undefined
(PYSEC-2024-229)
[HIGH] 2-2: transformers 4.46.1: undefined
(PYSEC-2025-40)
[HIGH] 2-2: transformers 4.46.1: Transformers is vulnerable to ReDoS attack through its DonutProcessor class
[HIGH] 2-2: transformers 4.46.1: Hugging Face Transformers vulnerable to Regular Expression Denial of Service (ReDoS) in the AdamWeightDecay optimizer
[HIGH] 2-2: transformers 4.46.1: Hugging Face Transformers is vulnerable to ReDoS through its MarianTokenizer
[HIGH] 2-2: transformers 4.46.1: Transformers Regular Expression Denial of Service (ReDoS) vulnerability
[HIGH] 2-2: transformers 4.46.1: Hugging Face Transformers Regular Expression Denial of Service (ReDoS) vulnerability
[HIGH] 2-2: transformers 4.46.1: Transformers Regular Expression Denial of Service (ReDoS) vulnerability
[HIGH] 2-2: transformers 4.46.1: Deserialization of Untrusted Data in Hugging Face Transformers
[HIGH] 2-2: transformers 4.46.1: Transformers vulnerable to ReDoS attack through its get_imports() function
[HIGH] 2-2: transformers 4.46.1: Transformers's Improper Input Validation vulnerability can be exploited through username injection
[HIGH] 2-2: transformers 4.46.1: Transformers's ReDoS vulnerability in get_configuration_file can lead to catastrophic backtracking
[HIGH] 2-2: transformers 4.46.1: Hugging Face Transformers Regular Expression Denial of Service
[HIGH] 2-2: transformers 4.46.1: Deserialization of Untrusted Data in Hugging Face Transformers
[HIGH] 2-2: transformers 4.46.1: Hugging Face Transformers library has Regular Expression Denial of Service
[HIGH] 2-2: transformers 4.46.1: Deserialization of Untrusted Data in Hugging Face Transformers
🔇 Additional comments (2)
backend/server.py (1)
58-99: LGTM: OpenAPI documentation enhances API discoverability.The OpenAPI/Swagger docstrings provide clear documentation for the API endpoints, including parameter schemas and response structures. This improves developer experience and API discoverability.
Minor note: Line 142 uses
type: map, which is not standard OpenAPI 2.0 syntax. Consider usingtype: objectfor better compatibility, though Flasgger may handle this correctly.Also applies to: 114-144, 159-195, 210-249
requirements.txt (1)
35-35: flasgger==0.9.7.1 is the latest stable release and has no known security vulnerabilities.However, the project has 286 open issues and the last commit was in June 2024. Consider monitoring upstream for updates or evaluating alternative Swagger integrations if active maintenance becomes critical for your requirements.
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Actionable comments posted: 1
🤖 Fix all issues with AI agents
In @backend/server.py:
- Around line 138-143: The OpenAPI schema uses an invalid type "map" for the
"output" property; replace it with a valid type "object" and, if the intent is a
free-form map, add an additionalProperties definition (e.g.,
additionalProperties: true or a schema) so the "output" field accepts arbitrary
key/value pairs; update the schema block that defines the "output" property in
the server.py OpenAPI/YAML section accordingly.
🧹 Nitpick comments (1)
backend/server.py (1)
30-32: Consider adding error handling for missing flasgger dependency.The conditional import is appropriate for a development-only feature. However, if someone sets
FLASK_ENV=developmentwithout installing flasgger, the server will crash with anImportError.💡 Suggested improvement for robustness
if os.environ.get("FLASK_ENV") == "development": - from flasgger import Swagger - Swagger(app) + try: + from flasgger import Swagger + Swagger(app) + except ImportError: + print("Warning: flasgger not installed. Swagger UI will not be available.")
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📒 Files selected for processing (2)
backend/server.pyrequirements.txt
🚧 Files skipped from review as they are similar to previous changes (1)
- requirements.txt
🔇 Additional comments (3)
backend/server.py (3)
58-99: LGTM!The OpenAPI docstring is well-structured with appropriate parameter definitions, examples, and response schema that accurately reflects the endpoint's behavior.
159-195: LGTM!The documentation accurately describes the endpoint's parameters and response structure.
210-249: LGTM!The documentation correctly describes the combined question generation endpoint. The parameter and response structure accurately reflects the implementation.
| schema: | ||
| type: object | ||
| properties: | ||
| output: | ||
| type: map | ||
| description: Map containing question details (structure may vary) |
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Invalid OpenAPI type map - use object instead.
map is not a valid OpenAPI/Swagger type. Valid types are: string, number, integer, boolean, array, object. This will cause Swagger UI validation warnings.
🔧 Proposed fix
properties:
output:
- type: map
- description: Map containing question details (structure may vary)
+ type: object
+ additionalProperties: true
+ description: Object containing question details (structure may vary)📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| schema: | |
| type: object | |
| properties: | |
| output: | |
| type: map | |
| description: Map containing question details (structure may vary) | |
| schema: | |
| type: object | |
| properties: | |
| output: | |
| type: object | |
| additionalProperties: true | |
| description: Object containing question details (structure may vary) |
🤖 Prompt for AI Agents
In @backend/server.py around lines 138 - 143, The OpenAPI schema uses an invalid
type "map" for the "output" property; replace it with a valid type "object" and,
if the intent is a free-form map, add an additionalProperties definition (e.g.,
additionalProperties: true or a schema) so the "output" field accepts arbitrary
key/value pairs; update the schema block that defines the "output" property in
the server.py OpenAPI/YAML section accordingly.
1 participant
Summary
This PR integrates Flasgger to provide interactive Swagger UI documentation for the backend API. Ideally, this improves the developer experience by allowing easy testing of endpoints directly from the browser.
Changes
flasgger==0.9.7.1torequirements.txt.backend/server.py(conditional onFLASK_ENV=developmentfor security)./get_mcq/get_boolq/get_shortq/get_problemsType of Change
How Has This Been Tested?
pip install -r requirements.txtexport FLASK_ENV=developmentpython backend/server.pyhttp://localhost:5000/apidocsand verified the UI loads./get_mcqvia the "Try it out" button in Swagger.Checklist:
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