From bed88ede09febd77e7474b8895825162f3589e6f Mon Sep 17 00:00:00 2001 From: vansh Date: Fri, 6 Feb 2026 19:04:29 +0530 Subject: [PATCH 1/8] agent config files --- all_autofix_config.json | 38 +++++++++++++++ code_review_config.json | 10 ++++ code_review_results.json | 101 +++++++++++++++++++++++++++++++++++++++ 3 files changed, 149 insertions(+) create mode 100644 all_autofix_config.json create mode 100644 code_review_config.json create mode 100644 code_review_results.json diff --git a/all_autofix_config.json b/all_autofix_config.json new file mode 100644 index 000000000..34f373673 --- /dev/null +++ b/all_autofix_config.json @@ -0,0 +1,38 @@ +[ + { + "issue_id": "46", + "file_path": "demo_code.py", + "issue_title": "Arbitrary code execution", + "issue_text": "The `sum` method uses `eval()`, which can execute arbitrary code if inputs `a` or `b` are manipulated. This is a major security risk and is also inefficient for simple addition.\n\nReplace `eval(\"a + b\")` with the direct arithmetic operation `a + b` to eliminate the vulnerability.", + "start_line": 48, + "end_line": 48, + "fix_steps": "In `demo_code.py`, inside the `sum` method, replace the line `return eval(\"a + b\")` with `return a + b`. This change removes the use of `eval`, which is a security vulnerability, and replaces it with a direct, safe, and more efficient addition operation.", + "feedback": null, + "patch_infos": null, + "use_stream": true + }, + { + "issue_id": "47", + "file_path": "demo_code.py", + "issue_title": "Mutable default argument", + "issue_text": "The `get_digits` method uses a mutable list as a default argument. This list is created only once. If modified by a caller, the change persists for all subsequent calls, causing unexpected behavior.\n\nUse an immutable default like `None` and create the list inside the method.", + "start_line": 42, + "end_line": 42, + "fix_steps": "In `demo_code.py`, modify the `get_digits` method.\n1. Change the method signature from `def get_digits(self, min_max=[1, 10]):` to `def get_digits(self, min_max=None):`.\n2. Add the following code as the first line inside the method:\n```python\n if min_max is None:\n min_max = [1, 10]\n```\nThis ensures a new list is created for each call that doesn't provide the `min_max` argument, preventing shared state between calls.", + "feedback": null, + "patch_infos": null, + "use_stream": true + }, + { + "issue_id": "48", + "file_path": "demo_code.py", + "issue_title": "Unsafe input validation", + "issue_text": "The `get_digits` method uses `assert` to validate input types. These statements are removed when Python runs in optimized mode (`-O`), so this validation will be skipped in production. This could lead to runtime errors if invalid data is passed.\n\nReplace `assert` with a conditional check that raises a `TypeError`.", + "start_line": 44, + "end_line": 44, + "fix_steps": "In `demo_code.py`, inside the `get_digits` method, replace the line `assert all([isinstance(i, int) for i in min_max])` with the following code:\n```python\n if not all(isinstance(i, int) for i in min_max):\n raise TypeError(\"min_max must contain only integers\")\n```\nThis ensures that input validation is always performed, even in optimized production environments.", + "feedback": null, + "patch_infos": null, + "use_stream": true + } +] diff --git a/code_review_config.json b/code_review_config.json new file mode 100644 index 000000000..11bc39b26 --- /dev/null +++ b/code_review_config.json @@ -0,0 +1,10 @@ +{ + "base_oid": "68ceb50d6c99c1cbe3090178998ef9180d130195", + "head_oid": "28884b0409e0f179a40bb3e311adc374cd6571bd", + "file_paths": [ + "demo_code.py" + ], + "categories": [ + "codereview" + ] +} \ No newline at end of file diff --git a/code_review_results.json b/code_review_results.json new file mode 100644 index 000000000..0bfaed8b9 --- /dev/null +++ b/code_review_results.json @@ -0,0 +1,101 @@ +[ + { + "comments": [ + { + "file_path": "demo_code.py", + "start_line": 48, + "end_line": 48, + "issue_title": "Arbitrary code execution", + "issue_description": "`eval()` on local variables enables code injection", + "comment": "The `sum` method uses `eval()`, which can execute arbitrary code if inputs `a` or `b` are manipulated. This is a major security risk and is also inefficient for simple addition.\n\nReplace `eval(\"a + b\")` with the direct arithmetic operation `a + b` to eliminate the vulnerability.", + "fix_steps": "In `demo_code.py`, inside the `sum` method, replace the line `return eval(\"a + b\")` with `return a + b`. This change removes the use of `eval`, which is a security vulnerability, and replaces it with a direct, safe, and more efficient addition operation.", + "category": "bug-risk", + "severity": "critical", + "dimension": "reliability", + "impact_score": 10, + "impact_rationale": "High probability (every call), severe impact (code execution), trivial fix -> high ROI.", + "locations_of_interest": [ + { + "identifier_name": "eval", + "definition": null, + "usages": [ + { "file_path": "demo_code.py", "start_line": 48, "end_line": 48 } + ] + }, + { + "identifier_name": "sum", + "definition": { + "file_path": "demo_code.py", + "start_line": 47, + "end_line": 48 + }, + "usages": [] + } + ] + }, + { + "file_path": "demo_code.py", + "start_line": 42, + "end_line": 42, + "issue_title": "Mutable default argument", + "issue_description": "Mutable default argument `min_max` persists across calls", + "comment": "The `get_digits` method uses a mutable list as a default argument. This list is created only once. If modified by a caller, the change persists for all subsequent calls, causing unexpected behavior.\n\nUse an immutable default like `None` and create the list inside the method.", + "fix_steps": "In `demo_code.py`, modify the `get_digits` method.\n1. Change the method signature from `def get_digits(self, min_max=[1, 10]):` to `def get_digits(self, min_max=None):`.\n2. Add the following code as the first line inside the method:\n```python\n if min_max is None:\n min_max = [1, 10]\n```\nThis ensures a new list is created for each call that doesn't provide the `min_max` argument, preventing shared state between calls.", + "category": "bug-risk", + "severity": "major", + "dimension": "reliability", + "impact_score": 7, + "impact_rationale": "High probability (if defaults are modified), moderate impact (unexpected behavior), easy fix -> good ROI.", + "locations_of_interest": [ + { + "identifier_name": "get_digits", + "definition": { + "file_path": "demo_code.py", + "start_line": 42, + "end_line": 45 + }, + "usages": [] + }, + { + "identifier_name": "min_max", + "definition": { + "file_path": "demo_code.py", + "start_line": 42, + "end_line": 42 + }, + "usages": [ + { "file_path": "demo_code.py", "start_line": 42, "end_line": 42 }, + { "file_path": "demo_code.py", "start_line": 44, "end_line": 44 }, + { "file_path": "demo_code.py", "start_line": 45, "end_line": 45 } + ] + } + ] + }, + { + "file_path": "demo_code.py", + "start_line": 44, + "end_line": 44, + "issue_title": "Unsafe input validation", + "issue_description": "`assert` statement is disabled in production builds", + "comment": "The `get_digits` method uses `assert` to validate input types. These statements are removed when Python runs in optimized mode (`-O`), so this validation will be skipped in production. This could lead to runtime errors if invalid data is passed.\n\nReplace `assert` with a conditional check that raises a `TypeError`.", + "fix_steps": "In `demo_code.py`, inside the `get_digits` method, replace the line `assert all([isinstance(i, int) for i in min_max])` with the following code:\n```python\n if not all(isinstance(i, int) for i in min_max):\n raise TypeError(\"min_max must contain only integers\")\n```\nThis ensures that input validation is always performed, even in optimized production environments.", + "category": "bug-risk", + "severity": "major", + "dimension": "reliability", + "impact_score": 6, + "impact_rationale": "High probability (in production), moderate impact (runtime errors), easy fix -> good ROI.", + "locations_of_interest": [ + { + "identifier_name": "get_digits", + "definition": { + "file_path": "demo_code.py", + "start_line": 42, + "end_line": 45 + }, + "usages": [] + } + ] + } + ] + } +] From 0f94be5ef06370139a3bbf77cb36cc2f17cb12de Mon Sep 17 00:00:00 2001 From: vansh Date: Tue, 10 Feb 2026 13:34:21 +0530 Subject: [PATCH 2/8] agent config files --- all_autofix_config.json | 21 +++-- code_review_results.json | 182 ++++++++++++++++++--------------------- 2 files changed, 97 insertions(+), 106 deletions(-) diff --git a/all_autofix_config.json b/all_autofix_config.json index 34f373673..05ba96a2d 100644 --- a/all_autofix_config.json +++ b/all_autofix_config.json @@ -1,36 +1,39 @@ [ { - "issue_id": "46", + "issue_id": "65", "file_path": "demo_code.py", "issue_title": "Arbitrary code execution", - "issue_text": "The `sum` method uses `eval()`, which can execute arbitrary code if inputs `a` or `b` are manipulated. This is a major security risk and is also inefficient for simple addition.\n\nReplace `eval(\"a + b\")` with the direct arithmetic operation `a + b` to eliminate the vulnerability.", + "issue_text": "The `eval()` function executes the string argument as Python code, which is a significant security risk if the string can be influenced by external input. Even with a static string, it's a dangerous pattern that should be avoided.\n\nReplace `eval(\"a + b\")` with the direct arithmetic operation `a + b` to eliminate the security risk and improve performance.", "start_line": 48, "end_line": 48, - "fix_steps": "In `demo_code.py`, inside the `sum` method, replace the line `return eval(\"a + b\")` with `return a + b`. This change removes the use of `eval`, which is a security vulnerability, and replaces it with a direct, safe, and more efficient addition operation.", + "fix_steps": "In `demo_code.py`, inside the `sum` function, replace the line `return eval(\"a + b\")` with `return a + b`. This change removes the use of `eval` and directly performs the addition, which is safer and more efficient.", + "fix_effort_score": 1, "feedback": null, "patch_infos": null, "use_stream": true }, { - "issue_id": "47", + "issue_id": "66", "file_path": "demo_code.py", "issue_title": "Mutable default argument", - "issue_text": "The `get_digits` method uses a mutable list as a default argument. This list is created only once. If modified by a caller, the change persists for all subsequent calls, causing unexpected behavior.\n\nUse an immutable default like `None` and create the list inside the method.", + "issue_text": "Default arguments are evaluated only once when the function is defined. If a mutable default argument like a list is modified, the change persists across subsequent calls. This can lead to unpredictable behavior and bugs that are hard to trace.\n\nUse an immutable default like `None` and create a new list inside the function if no argument is provided, for example: `min_max = min_max or [1, 10]`.", "start_line": 42, "end_line": 42, - "fix_steps": "In `demo_code.py`, modify the `get_digits` method.\n1. Change the method signature from `def get_digits(self, min_max=[1, 10]):` to `def get_digits(self, min_max=None):`.\n2. Add the following code as the first line inside the method:\n```python\n if min_max is None:\n min_max = [1, 10]\n```\nThis ensures a new list is created for each call that doesn't provide the `min_max` argument, preventing shared state between calls.", + "fix_steps": "In `demo_code.py`, modify the `get_digits` function signature.\n1. Change `def get_digits(self, min_max=[1, 10]):` to `def get_digits(self, min_max=None):`.\n2. Add the following block at the beginning of the function body:\n```python\n if min_max is None:\n min_max = [1, 10]\n```\nThis ensures that a new list `[1, 10]` is created for each call that doesn't provide the `min_max` argument, preventing side-effects between calls.", + "fix_effort_score": 2, "feedback": null, "patch_infos": null, "use_stream": true }, { - "issue_id": "48", + "issue_id": "67", "file_path": "demo_code.py", "issue_title": "Unsafe input validation", - "issue_text": "The `get_digits` method uses `assert` to validate input types. These statements are removed when Python runs in optimized mode (`-O`), so this validation will be skipped in production. This could lead to runtime errors if invalid data is passed.\n\nReplace `assert` with a conditional check that raises a `TypeError`.", + "issue_text": "Using `assert` for input validation is unsafe because assertions can be disabled when running Python in optimized mode (with the `-O` flag). This would silently bypass the type check and could lead to runtime errors or incorrect behavior.\n\nReplace the `assert` statement with a conditional check that raises a `TypeError` or `ValueError` to ensure validation is always performed.", "start_line": 44, "end_line": 44, - "fix_steps": "In `demo_code.py`, inside the `get_digits` method, replace the line `assert all([isinstance(i, int) for i in min_max])` with the following code:\n```python\n if not all(isinstance(i, int) for i in min_max):\n raise TypeError(\"min_max must contain only integers\")\n```\nThis ensures that input validation is always performed, even in optimized production environments.", + "fix_steps": "In `demo_code.py`, inside the `get_digits` method, replace the line `assert all([isinstance(i, int) for i in min_max])` with the following code:\n```python\n if not all(isinstance(i, int) for i in min_max):\n raise TypeError(\"min_max must contain only integers\")\n```\nThis ensures that the type check is always executed, regardless of Python's optimization flags.", + "fix_effort_score": 1, "feedback": null, "patch_infos": null, "use_stream": true diff --git a/code_review_results.json b/code_review_results.json index 0bfaed8b9..5cdde6894 100644 --- a/code_review_results.json +++ b/code_review_results.json @@ -1,101 +1,89 @@ [ - { - "comments": [ - { - "file_path": "demo_code.py", - "start_line": 48, - "end_line": 48, - "issue_title": "Arbitrary code execution", - "issue_description": "`eval()` on local variables enables code injection", - "comment": "The `sum` method uses `eval()`, which can execute arbitrary code if inputs `a` or `b` are manipulated. This is a major security risk and is also inefficient for simple addition.\n\nReplace `eval(\"a + b\")` with the direct arithmetic operation `a + b` to eliminate the vulnerability.", - "fix_steps": "In `demo_code.py`, inside the `sum` method, replace the line `return eval(\"a + b\")` with `return a + b`. This change removes the use of `eval`, which is a security vulnerability, and replaces it with a direct, safe, and more efficient addition operation.", - "category": "bug-risk", - "severity": "critical", - "dimension": "reliability", - "impact_score": 10, - "impact_rationale": "High probability (every call), severe impact (code execution), trivial fix -> high ROI.", - "locations_of_interest": [ - { - "identifier_name": "eval", - "definition": null, - "usages": [ - { "file_path": "demo_code.py", "start_line": 48, "end_line": 48 } - ] - }, - { - "identifier_name": "sum", - "definition": { - "file_path": "demo_code.py", - "start_line": 47, - "end_line": 48 + { + "comments": [ + { + "file_path": "demo_code.py", + "start_line": 48, + "end_line": 48, + "issue_title": "Arbitrary code execution", + "issue_description": "`eval()` on a fixed string can lead to code injection if modified", + "comment": "The `eval()` function executes the string argument as Python code, which is a significant security risk if the string can be influenced by external input. Even with a static string, it's a dangerous pattern that should be avoided.\n\nReplace `eval(\"a + b\")` with the direct arithmetic operation `a + b` to eliminate the security risk and improve performance.", + "fix_steps": "In `demo_code.py`, inside the `sum` function, replace the line `return eval(\"a + b\")` with `return a + b`. This change removes the use of `eval` and directly performs the addition, which is safer and more efficient.", + "fix_effort_score": 1, + "category": "bug-risk", + "severity": "critical", + "dimension": "reliability", + "locations_of_interest": [ + { + "identifier_name": "sum", + "definition": { + "file_path": "demo_code.py", + "start_line": 47, + "end_line": 48 + }, + "usages": [] + }, + { + "identifier_name": "eval", + "definition": null, + "usages": [ + { + "file_path": "demo_code.py", + "start_line": 48, + "end_line": 48 + } + ] + } + ] }, - "usages": [] - } - ] - }, - { - "file_path": "demo_code.py", - "start_line": 42, - "end_line": 42, - "issue_title": "Mutable default argument", - "issue_description": "Mutable default argument `min_max` persists across calls", - "comment": "The `get_digits` method uses a mutable list as a default argument. This list is created only once. If modified by a caller, the change persists for all subsequent calls, causing unexpected behavior.\n\nUse an immutable default like `None` and create the list inside the method.", - "fix_steps": "In `demo_code.py`, modify the `get_digits` method.\n1. Change the method signature from `def get_digits(self, min_max=[1, 10]):` to `def get_digits(self, min_max=None):`.\n2. Add the following code as the first line inside the method:\n```python\n if min_max is None:\n min_max = [1, 10]\n```\nThis ensures a new list is created for each call that doesn't provide the `min_max` argument, preventing shared state between calls.", - "category": "bug-risk", - "severity": "major", - "dimension": "reliability", - "impact_score": 7, - "impact_rationale": "High probability (if defaults are modified), moderate impact (unexpected behavior), easy fix -> good ROI.", - "locations_of_interest": [ - { - "identifier_name": "get_digits", - "definition": { - "file_path": "demo_code.py", - "start_line": 42, - "end_line": 45 - }, - "usages": [] - }, - { - "identifier_name": "min_max", - "definition": { - "file_path": "demo_code.py", - "start_line": 42, - "end_line": 42 - }, - "usages": [ - { "file_path": "demo_code.py", "start_line": 42, "end_line": 42 }, - { "file_path": "demo_code.py", "start_line": 44, "end_line": 44 }, - { "file_path": "demo_code.py", "start_line": 45, "end_line": 45 } - ] - } - ] - }, - { - "file_path": "demo_code.py", - "start_line": 44, - "end_line": 44, - "issue_title": "Unsafe input validation", - "issue_description": "`assert` statement is disabled in production builds", - "comment": "The `get_digits` method uses `assert` to validate input types. These statements are removed when Python runs in optimized mode (`-O`), so this validation will be skipped in production. This could lead to runtime errors if invalid data is passed.\n\nReplace `assert` with a conditional check that raises a `TypeError`.", - "fix_steps": "In `demo_code.py`, inside the `get_digits` method, replace the line `assert all([isinstance(i, int) for i in min_max])` with the following code:\n```python\n if not all(isinstance(i, int) for i in min_max):\n raise TypeError(\"min_max must contain only integers\")\n```\nThis ensures that input validation is always performed, even in optimized production environments.", - "category": "bug-risk", - "severity": "major", - "dimension": "reliability", - "impact_score": 6, - "impact_rationale": "High probability (in production), moderate impact (runtime errors), easy fix -> good ROI.", - "locations_of_interest": [ - { - "identifier_name": "get_digits", - "definition": { - "file_path": "demo_code.py", - "start_line": 42, - "end_line": 45 + { + "file_path": "demo_code.py", + "start_line": 42, + "end_line": 42, + "issue_title": "Mutable default argument", + "issue_description": "Using a mutable list as a default argument leads to unexpected behavior", + "comment": "Default arguments are evaluated only once when the function is defined. If a mutable default argument like a list is modified, the change persists across subsequent calls. This can lead to unpredictable behavior and bugs that are hard to trace.\n\nUse an immutable default like `None` and create a new list inside the function if no argument is provided, for example: `min_max = min_max or [1, 10]`.", + "fix_steps": "In `demo_code.py`, modify the `get_digits` function signature.\n1. Change `def get_digits(self, min_max=[1, 10]):` to `def get_digits(self, min_max=None):`.\n2. Add the following block at the beginning of the function body:\n```python\n if min_max is None:\n min_max = [1, 10]\n```\nThis ensures that a new list `[1, 10]` is created for each call that doesn't provide the `min_max` argument, preventing side-effects between calls.", + "fix_effort_score": 2, + "category": "antipattern", + "severity": "major", + "dimension": "reliability", + "locations_of_interest": [ + { + "identifier_name": "get_digits", + "definition": { + "file_path": "demo_code.py", + "start_line": 42, + "end_line": 45 + }, + "usages": [] + } + ] }, - "usages": [] - } + { + "file_path": "demo_code.py", + "start_line": 44, + "end_line": 44, + "issue_title": "Unsafe input validation", + "issue_description": "`assert` statements are disabled in production builds, removing validation", + "comment": "Using `assert` for input validation is unsafe because assertions can be disabled when running Python in optimized mode (with the `-O` flag). This would silently bypass the type check and could lead to runtime errors or incorrect behavior.\n\nReplace the `assert` statement with a conditional check that raises a `TypeError` or `ValueError` to ensure validation is always performed.", + "fix_steps": "In `demo_code.py`, inside the `get_digits` method, replace the line `assert all([isinstance(i, int) for i in min_max])` with the following code:\n```python\n if not all(isinstance(i, int) for i in min_max):\n raise TypeError(\"min_max must contain only integers\")\n```\nThis ensures that the type check is always executed, regardless of Python's optimization flags.", + "fix_effort_score": 1, + "category": "bug-risk", + "severity": "major", + "dimension": "reliability", + "locations_of_interest": [ + { + "identifier_name": "get_digits", + "definition": { + "file_path": "demo_code.py", + "start_line": 42, + "end_line": 45 + }, + "usages": [] + } + ] + } ] - } - ] - } -] + } +] \ No newline at end of file From 46dddc37011a35b2d0e9b7ab8fb59e5884fafee0 Mon Sep 17 00:00:00 2001 From: vansh Date: Wed, 18 Feb 2026 13:27:15 +0530 Subject: [PATCH 3/8] one more error --- hello.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/hello.py b/hello.py index dc8227b07..242d3a9df 100644 --- a/hello.py +++ b/hello.py @@ -7,7 +7,7 @@ # from django.db.models.expressions import RawSQL -AWS_SECRET_KEY = "d6s$f9g!j8mg7hw?n&2" +AWS_SECRET_KEY = "dwe6s$f9g!j8mg7hw?n&2" class BaseNumberGenerator: From f0fe2a1ae353a7ea4bb262bf4a955e32ecb02e49 Mon Sep 17 00:00:00 2001 From: vansh Date: Wed, 18 Feb 2026 13:30:31 +0530 Subject: [PATCH 4/8] new bug --- hello.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/hello.py b/hello.py index 242d3a9df..89d747cb2 100644 --- a/hello.py +++ b/hello.py @@ -7,7 +7,7 @@ # from django.db.models.expressions import RawSQL -AWS_SECRET_KEY = "dwe6s$f9g!j8mg7hw?n&2" +AWS_SECRET_KEY = "dwew6s$f9g!j8mg7hw?n&2" class BaseNumberGenerator: From 48468148fbf339d93603971370e03c59d82d4191 Mon Sep 17 00:00:00 2001 From: vansh Date: Wed, 18 Feb 2026 13:33:22 +0530 Subject: [PATCH 5/8] new bug --- hello.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/hello.py b/hello.py index 89d747cb2..5836062cb 100644 --- a/hello.py +++ b/hello.py @@ -7,7 +7,7 @@ # from django.db.models.expressions import RawSQL -AWS_SECRET_KEY = "dwew6s$f9g!j8mg7hw?n&2" +AWS_SECRET_KEY = "dwewd6s$f9g!j8mg7hw?n&2" class BaseNumberGenerator: From 3f6d22254be6d3a2d462c69555c06801339031d8 Mon Sep 17 00:00:00 2001 From: vansh Date: Wed, 18 Feb 2026 13:37:41 +0530 Subject: [PATCH 6/8] new bug --- hello.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/hello.py b/hello.py index 5836062cb..0af2afafc 100644 --- a/hello.py +++ b/hello.py @@ -19,8 +19,9 @@ def __init__(self): def get_number(self, min_max): raise NotImplemented - def smethod(): + def smethod(a: str, b: str): """static method-to-be""" + return int(a+b) smethod = staticmethod(smethod) From 27ebdc0e9223b9b7847051cbf3fbf20edb276c10 Mon Sep 17 00:00:00 2001 From: vansh Date: Mon, 23 Feb 2026 20:38:35 +0530 Subject: [PATCH 7/8] agent config files --- all_autofix_config.json | 33 +++----- code_review_results.json | 160 ++++++++++++++++++--------------------- 2 files changed, 86 insertions(+), 107 deletions(-) diff --git a/all_autofix_config.json b/all_autofix_config.json index 05ba96a2d..026b0da98 100644 --- a/all_autofix_config.json +++ b/all_autofix_config.json @@ -1,41 +1,30 @@ [ { - "issue_id": "65", + "issue_id": "48", "file_path": "demo_code.py", - "issue_title": "Arbitrary code execution", - "issue_text": "The `eval()` function executes the string argument as Python code, which is a significant security risk if the string can be influenced by external input. Even with a static string, it's a dangerous pattern that should be avoided.\n\nReplace `eval(\"a + b\")` with the direct arithmetic operation `a + b` to eliminate the security risk and improve performance.", + "issue_title": "Insecure `eval` usage", + "issue_text": "The `sum` method uses `eval(\"a + b\")` to add two numbers. This is a significant security risk and an anti-pattern. It's unnecessarily slow and complex for a simple addition, and it creates a dangerous precedent that could lead to code injection vulnerabilities if the string were ever constructed from user input.\n\nReplace `eval(\"a + b\")` with the direct and safe operation `a + b`.", "start_line": 48, "end_line": 48, - "fix_steps": "In `demo_code.py`, inside the `sum` function, replace the line `return eval(\"a + b\")` with `return a + b`. This change removes the use of `eval` and directly performs the addition, which is safer and more efficient.", + "fix_steps": "In `demo_code.py`, inside the `sum` method of the `RandomNumberGenerator` class, replace the line `return eval(\"a + b\")` with `return a + b`.", "fix_effort_score": 1, "feedback": null, "patch_infos": null, - "use_stream": true + "use_stream": true, + "apply_patch": true }, { - "issue_id": "66", + "issue_id": "49", "file_path": "demo_code.py", "issue_title": "Mutable default argument", - "issue_text": "Default arguments are evaluated only once when the function is defined. If a mutable default argument like a list is modified, the change persists across subsequent calls. This can lead to unpredictable behavior and bugs that are hard to trace.\n\nUse an immutable default like `None` and create a new list inside the function if no argument is provided, for example: `min_max = min_max or [1, 10]`.", + "issue_text": "The `get_digits` method uses a mutable list `[1, 10]` as a default argument for `min_max`. If this list is modified, it will affect all subsequent calls to `get_digits` that don't provide this argument, leading to unpredictable behavior and potential errors like a `TypeError`.\n\nUse an immutable default like `None` and create a new list inside the function if no argument is provided. For example: `def get_digits(self, min_max=None):\\n if min_max is None:\\n min_max = [1, 10]`", "start_line": 42, "end_line": 42, - "fix_steps": "In `demo_code.py`, modify the `get_digits` function signature.\n1. Change `def get_digits(self, min_max=[1, 10]):` to `def get_digits(self, min_max=None):`.\n2. Add the following block at the beginning of the function body:\n```python\n if min_max is None:\n min_max = [1, 10]\n```\nThis ensures that a new list `[1, 10]` is created for each call that doesn't provide the `min_max` argument, preventing side-effects between calls.", + "fix_steps": "In `demo_code.py`, in the `RandomNumberGenerator` class, replace the signature of `get_digits` from `def get_digits(self, min_max=[1, 10]):` to `def get_digits(self, min_max=None):`. Then, add the following lines at the beginning of the method, before the `assert` statement:\n```python\n if min_max is None:\n min_max = [1, 10]\n```", "fix_effort_score": 2, "feedback": null, "patch_infos": null, - "use_stream": true - }, - { - "issue_id": "67", - "file_path": "demo_code.py", - "issue_title": "Unsafe input validation", - "issue_text": "Using `assert` for input validation is unsafe because assertions can be disabled when running Python in optimized mode (with the `-O` flag). This would silently bypass the type check and could lead to runtime errors or incorrect behavior.\n\nReplace the `assert` statement with a conditional check that raises a `TypeError` or `ValueError` to ensure validation is always performed.", - "start_line": 44, - "end_line": 44, - "fix_steps": "In `demo_code.py`, inside the `get_digits` method, replace the line `assert all([isinstance(i, int) for i in min_max])` with the following code:\n```python\n if not all(isinstance(i, int) for i in min_max):\n raise TypeError(\"min_max must contain only integers\")\n```\nThis ensures that the type check is always executed, regardless of Python's optimization flags.", - "fix_effort_score": 1, - "feedback": null, - "patch_infos": null, - "use_stream": true + "use_stream": true, + "apply_patch": true } ] diff --git a/code_review_results.json b/code_review_results.json index 5cdde6894..7db9bbf86 100644 --- a/code_review_results.json +++ b/code_review_results.json @@ -1,89 +1,79 @@ [ - { - "comments": [ - { - "file_path": "demo_code.py", - "start_line": 48, - "end_line": 48, - "issue_title": "Arbitrary code execution", - "issue_description": "`eval()` on a fixed string can lead to code injection if modified", - "comment": "The `eval()` function executes the string argument as Python code, which is a significant security risk if the string can be influenced by external input. Even with a static string, it's a dangerous pattern that should be avoided.\n\nReplace `eval(\"a + b\")` with the direct arithmetic operation `a + b` to eliminate the security risk and improve performance.", - "fix_steps": "In `demo_code.py`, inside the `sum` function, replace the line `return eval(\"a + b\")` with `return a + b`. This change removes the use of `eval` and directly performs the addition, which is safer and more efficient.", - "fix_effort_score": 1, - "category": "bug-risk", - "severity": "critical", - "dimension": "reliability", - "locations_of_interest": [ - { - "identifier_name": "sum", - "definition": { - "file_path": "demo_code.py", - "start_line": 47, - "end_line": 48 - }, - "usages": [] - }, - { - "identifier_name": "eval", - "definition": null, - "usages": [ - { - "file_path": "demo_code.py", - "start_line": 48, - "end_line": 48 - } - ] - } - ] + { + "comments": [ + { + "file_path": "demo_code.py", + "start_line": 48, + "end_line": 48, + "issue_title": "Insecure `eval` usage", + "issue_description": "`eval()` on a static string is an anti-pattern", + "issue_detail": "Using `eval()` is dangerous as it can execute arbitrary code. While the string is static here, it's an unnecessary risk and a bad practice that can lead to vulnerabilities if modified.", + "comment": "The `sum` method uses `eval(\"a + b\")` to add two numbers. This is a significant security risk and an anti-pattern. It's unnecessarily slow and complex for a simple addition, and it creates a dangerous precedent that could lead to code injection vulnerabilities if the string were ever constructed from user input.\n\nReplace `eval(\"a + b\")` with the direct and safe operation `a + b`.", + "fix_steps": "In `demo_code.py`, inside the `sum` method of the `RandomNumberGenerator` class, replace the line `return eval(\"a + b\")` with `return a + b`.", + "fix_effort_score": 1, + "category": "antipattern", + "severity": "critical", + "dimension": "reliability", + "impact_score": 9, + "impact_rationale": "High probability (every call), severe impact (potential for code execution), trivial fix.", + "locations_of_interest": [ + { + "identifier_name": "sum", + "definition": { + "file_path": "demo_code.py", + "start_line": 47, + "end_line": 48 }, - { - "file_path": "demo_code.py", - "start_line": 42, - "end_line": 42, - "issue_title": "Mutable default argument", - "issue_description": "Using a mutable list as a default argument leads to unexpected behavior", - "comment": "Default arguments are evaluated only once when the function is defined. If a mutable default argument like a list is modified, the change persists across subsequent calls. This can lead to unpredictable behavior and bugs that are hard to trace.\n\nUse an immutable default like `None` and create a new list inside the function if no argument is provided, for example: `min_max = min_max or [1, 10]`.", - "fix_steps": "In `demo_code.py`, modify the `get_digits` function signature.\n1. Change `def get_digits(self, min_max=[1, 10]):` to `def get_digits(self, min_max=None):`.\n2. Add the following block at the beginning of the function body:\n```python\n if min_max is None:\n min_max = [1, 10]\n```\nThis ensures that a new list `[1, 10]` is created for each call that doesn't provide the `min_max` argument, preventing side-effects between calls.", - "fix_effort_score": 2, - "category": "antipattern", - "severity": "major", - "dimension": "reliability", - "locations_of_interest": [ - { - "identifier_name": "get_digits", - "definition": { - "file_path": "demo_code.py", - "start_line": 42, - "end_line": 45 - }, - "usages": [] - } - ] + "usages": [] + }, + { + "identifier_name": "eval", + "definition": null, + "usages": [ + { "file_path": "demo_code.py", "start_line": 48, "end_line": 48 } + ] + } + ] + }, + { + "file_path": "demo_code.py", + "start_line": 42, + "end_line": 42, + "issue_title": "Mutable default argument", + "issue_description": "Using mutable `list` as a default argument", + "issue_detail": "The default `min_max` list can be modified by callers, causing unexpected behavior for subsequent calls that rely on the default value. This can lead to bugs that are hard to trace.", + "comment": "The `get_digits` method uses a mutable list `[1, 10]` as a default argument for `min_max`. If this list is modified, it will affect all subsequent calls to `get_digits` that don't provide this argument, leading to unpredictable behavior and potential errors like a `TypeError`.\n\nUse an immutable default like `None` and create a new list inside the function if no argument is provided. For example: `def get_digits(self, min_max=None):\\n if min_max is None:\\n min_max = [1, 10]`", + "fix_steps": "In `demo_code.py`, in the `RandomNumberGenerator` class, replace the signature of `get_digits` from `def get_digits(self, min_max=[1, 10]):` to `def get_digits(self, min_max=None):`. Then, add the following lines at the beginning of the method, before the `assert` statement:\n```python\n if min_max is None:\n min_max = [1, 10]\n```", + "fix_effort_score": 2, + "category": "bug-risk", + "severity": "major", + "dimension": "reliability", + "impact_score": 7, + "impact_rationale": "High probability (common Python pitfall), moderate impact (unexpected behavior, potential `TypeError`), easy fix.", + "locations_of_interest": [ + { + "identifier_name": "get_digits", + "definition": { + "file_path": "demo_code.py", + "start_line": 42, + "end_line": 45 + }, + "usages": [] + }, + { + "identifier_name": "min_max", + "definition": { + "file_path": "demo_code.py", + "start_line": 42, + "end_line": 42 }, - { - "file_path": "demo_code.py", - "start_line": 44, - "end_line": 44, - "issue_title": "Unsafe input validation", - "issue_description": "`assert` statements are disabled in production builds, removing validation", - "comment": "Using `assert` for input validation is unsafe because assertions can be disabled when running Python in optimized mode (with the `-O` flag). This would silently bypass the type check and could lead to runtime errors or incorrect behavior.\n\nReplace the `assert` statement with a conditional check that raises a `TypeError` or `ValueError` to ensure validation is always performed.", - "fix_steps": "In `demo_code.py`, inside the `get_digits` method, replace the line `assert all([isinstance(i, int) for i in min_max])` with the following code:\n```python\n if not all(isinstance(i, int) for i in min_max):\n raise TypeError(\"min_max must contain only integers\")\n```\nThis ensures that the type check is always executed, regardless of Python's optimization flags.", - "fix_effort_score": 1, - "category": "bug-risk", - "severity": "major", - "dimension": "reliability", - "locations_of_interest": [ - { - "identifier_name": "get_digits", - "definition": { - "file_path": "demo_code.py", - "start_line": 42, - "end_line": 45 - }, - "usages": [] - } - ] - } + "usages": [ + { "file_path": "demo_code.py", "start_line": 44, "end_line": 44 }, + { "file_path": "demo_code.py", "start_line": 45, "end_line": 45 } + ] + } ] - } -] \ No newline at end of file + } + ] + } +] From d808de047a454a8da9a36a6ac0b66f5bf5cda24f Mon Sep 17 00:00:00 2001 From: vansh-deepsource Date: Mon, 16 Mar 2026 15:22:32 +0530 Subject: [PATCH 8/8] new config --- all_autofix_config.json | 72 +++++++++------ code_review_results.json | 184 +++++++++++++++++++++++---------------- 2 files changed, 151 insertions(+), 105 deletions(-) diff --git a/all_autofix_config.json b/all_autofix_config.json index 026b0da98..22b607b4c 100644 --- a/all_autofix_config.json +++ b/all_autofix_config.json @@ -1,30 +1,44 @@ [ - { - "issue_id": "48", - "file_path": "demo_code.py", - "issue_title": "Insecure `eval` usage", - "issue_text": "The `sum` method uses `eval(\"a + b\")` to add two numbers. This is a significant security risk and an anti-pattern. It's unnecessarily slow and complex for a simple addition, and it creates a dangerous precedent that could lead to code injection vulnerabilities if the string were ever constructed from user input.\n\nReplace `eval(\"a + b\")` with the direct and safe operation `a + b`.", - "start_line": 48, - "end_line": 48, - "fix_steps": "In `demo_code.py`, inside the `sum` method of the `RandomNumberGenerator` class, replace the line `return eval(\"a + b\")` with `return a + b`.", - "fix_effort_score": 1, - "feedback": null, - "patch_infos": null, - "use_stream": true, - "apply_patch": true - }, - { - "issue_id": "49", - "file_path": "demo_code.py", - "issue_title": "Mutable default argument", - "issue_text": "The `get_digits` method uses a mutable list `[1, 10]` as a default argument for `min_max`. If this list is modified, it will affect all subsequent calls to `get_digits` that don't provide this argument, leading to unpredictable behavior and potential errors like a `TypeError`.\n\nUse an immutable default like `None` and create a new list inside the function if no argument is provided. For example: `def get_digits(self, min_max=None):\\n if min_max is None:\\n min_max = [1, 10]`", - "start_line": 42, - "end_line": 42, - "fix_steps": "In `demo_code.py`, in the `RandomNumberGenerator` class, replace the signature of `get_digits` from `def get_digits(self, min_max=[1, 10]):` to `def get_digits(self, min_max=None):`. Then, add the following lines at the beginning of the method, before the `assert` statement:\n```python\n if min_max is None:\n min_max = [1, 10]\n```", - "fix_effort_score": 2, - "feedback": null, - "patch_infos": null, - "use_stream": true, - "apply_patch": true - } -] + { + "issue_id": "47", + "file_path": "demo_code.py", + "issue_title": "Insecure use of `eval`", + "issue_text": "The `sum` method uses `eval(\"a + b\")` to perform addition. This is inefficient and a significant security risk if the expression were ever to include user-controlled data. It makes the code harder to understand and provides no benefit over the direct arithmetic operation.\n\nReplace `eval(\"a + b\")` with the simple addition operator `a + b`.", + "start_line": 48, + "end_line": 48, + "fix_steps": "In `demo_code.py`, inside the `sum` method, replace `return eval(\"a + b\")` with `return a + b`. This removes the unnecessary and dangerous use of `eval` for a simple arithmetic operation.", + "fix_effort_score": 1, + "feedback": null, + "patch_infos": null, + "use_stream": true, + "apply_patch": true + }, + { + "issue_id": "48", + "file_path": "demo_code.py", + "issue_title": "Insufficient input validation", + "issue_text": "The `get_digits` method relies on `assert` for type validation, which can be disabled in production environments. Additionally, it fails to validate that `min_max` has exactly two elements before unpacking it into `random.randint`, which will cause a `TypeError` if an invalid list is passed.\n\nReplace the `assert` with explicit checks for both type and length, raising a `ValueError` or `TypeError` for invalid input.", + "start_line": 44, + "end_line": 45, + "fix_steps": "In `demo_code.py`, inside `get_digits`, replace `assert all([isinstance(i, int) for i in min_max])` with robust validation that checks type and length. For example:\n`if not isinstance(min_max, list) or len(min_max) != 2:\n raise ValueError(\"min_max must be a list of two elements.\")\nif not all(isinstance(i, int) for i in min_max):\n raise TypeError(\"min_max elements must be integers.\")`", + "fix_effort_score": 1, + "feedback": null, + "patch_infos": null, + "use_stream": true, + "apply_patch": true + }, + { + "issue_id": "49", + "file_path": "demo_code.py", + "issue_title": "Mutable default argument", + "issue_text": "The `get_digits` method uses a list `[1, 10]` as a default value for `min_max`. Since lists are mutable, if any code modifies this default list, all subsequent calls to `get_digits` without an explicit `min_max` argument will use the modified list, which can lead to hard-to-debug bugs.\n\nUse an immutable default like `None` and create a new list inside the function if no argument is provided. For example: `def get_digits(self, min_max=None):\n if min_max is None:\n min_max = [1, 10]`.", + "start_line": 42, + "end_line": 42, + "fix_steps": "In `demo_code.py`, change the signature of `get_digits` to `def get_digits(self, min_max=None):`. Then, at the beginning of the method, add the lines: `if min_max is None:\\n min_max = [1, 10]`. This avoids using a mutable list as a default argument, preventing unexpected side-effects between calls.", + "fix_effort_score": 1, + "feedback": null, + "patch_infos": null, + "use_stream": true, + "apply_patch": true + } +] \ No newline at end of file diff --git a/code_review_results.json b/code_review_results.json index 7db9bbf86..cfd217660 100644 --- a/code_review_results.json +++ b/code_review_results.json @@ -1,79 +1,111 @@ [ - { - "comments": [ - { - "file_path": "demo_code.py", - "start_line": 48, - "end_line": 48, - "issue_title": "Insecure `eval` usage", - "issue_description": "`eval()` on a static string is an anti-pattern", - "issue_detail": "Using `eval()` is dangerous as it can execute arbitrary code. While the string is static here, it's an unnecessary risk and a bad practice that can lead to vulnerabilities if modified.", - "comment": "The `sum` method uses `eval(\"a + b\")` to add two numbers. This is a significant security risk and an anti-pattern. It's unnecessarily slow and complex for a simple addition, and it creates a dangerous precedent that could lead to code injection vulnerabilities if the string were ever constructed from user input.\n\nReplace `eval(\"a + b\")` with the direct and safe operation `a + b`.", - "fix_steps": "In `demo_code.py`, inside the `sum` method of the `RandomNumberGenerator` class, replace the line `return eval(\"a + b\")` with `return a + b`.", - "fix_effort_score": 1, - "category": "antipattern", - "severity": "critical", - "dimension": "reliability", - "impact_score": 9, - "impact_rationale": "High probability (every call), severe impact (potential for code execution), trivial fix.", - "locations_of_interest": [ - { - "identifier_name": "sum", - "definition": { - "file_path": "demo_code.py", - "start_line": 47, - "end_line": 48 + { + "comments": [ + { + "file_path": "demo_code.py", + "start_line": 48, + "end_line": 48, + "issue_title": "Insecure use of `eval`", + "issue_description": "Use of `eval` for simple arithmetic is an anti-pattern", + "issue_detail": "Using `eval` for a simple addition is inefficient and dangerous. While the expression is a literal now, this pattern can lead to code injection if it's ever constructed from external input.", + "comment": "The `sum` method uses `eval(\"a + b\")` to perform addition. This is inefficient and a significant security risk if the expression were ever to include user-controlled data. It makes the code harder to understand and provides no benefit over the direct arithmetic operation.\n\nReplace `eval(\"a + b\")` with the simple addition operator `a + b`.", + "fix_steps": "In `demo_code.py`, inside the `sum` method, replace `return eval(\"a + b\")` with `return a + b`. This removes the unnecessary and dangerous use of `eval` for a simple arithmetic operation.", + "fix_effort_score": 1, + "category": "antipattern", + "severity": "critical", + "dimension": "security", + "impact_score": 9, + "impact_rationale": "High probability (every call), severe potential impact (code injection), trivial fix -> high ROI.", + "locations_of_interest": [ + { + "identifier_name": "eval", + "definition": null, + "usages": [ + { + "file_path": "demo_code.py", + "start_line": 48, + "end_line": 48 + } + ] + }, + { + "identifier_name": "sum", + "definition": { + "file_path": "demo_code.py", + "start_line": 47, + "end_line": 48 + }, + "usages": [] + } + ] }, - "usages": [] - }, - { - "identifier_name": "eval", - "definition": null, - "usages": [ - { "file_path": "demo_code.py", "start_line": 48, "end_line": 48 } - ] - } - ] - }, - { - "file_path": "demo_code.py", - "start_line": 42, - "end_line": 42, - "issue_title": "Mutable default argument", - "issue_description": "Using mutable `list` as a default argument", - "issue_detail": "The default `min_max` list can be modified by callers, causing unexpected behavior for subsequent calls that rely on the default value. This can lead to bugs that are hard to trace.", - "comment": "The `get_digits` method uses a mutable list `[1, 10]` as a default argument for `min_max`. If this list is modified, it will affect all subsequent calls to `get_digits` that don't provide this argument, leading to unpredictable behavior and potential errors like a `TypeError`.\n\nUse an immutable default like `None` and create a new list inside the function if no argument is provided. For example: `def get_digits(self, min_max=None):\\n if min_max is None:\\n min_max = [1, 10]`", - "fix_steps": "In `demo_code.py`, in the `RandomNumberGenerator` class, replace the signature of `get_digits` from `def get_digits(self, min_max=[1, 10]):` to `def get_digits(self, min_max=None):`. Then, add the following lines at the beginning of the method, before the `assert` statement:\n```python\n if min_max is None:\n min_max = [1, 10]\n```", - "fix_effort_score": 2, - "category": "bug-risk", - "severity": "major", - "dimension": "reliability", - "impact_score": 7, - "impact_rationale": "High probability (common Python pitfall), moderate impact (unexpected behavior, potential `TypeError`), easy fix.", - "locations_of_interest": [ - { - "identifier_name": "get_digits", - "definition": { - "file_path": "demo_code.py", - "start_line": 42, - "end_line": 45 + { + "file_path": "demo_code.py", + "start_line": 44, + "end_line": 45, + "issue_title": "Insufficient input validation", + "issue_description": "Input `min_max` is not validated for length and uses `assert` for type checks", + "issue_detail": "The method uses `assert` for type checking, which can be disabled in production. It also lacks a length check for `min_max`, causing a `TypeError` during unpacking if the length is not 2.", + "comment": "The `get_digits` method relies on `assert` for type validation, which can be disabled in production environments. Additionally, it fails to validate that `min_max` has exactly two elements before unpacking it into `random.randint`, which will cause a `TypeError` if an invalid list is passed.\n\nReplace the `assert` with explicit checks for both type and length, raising a `ValueError` or `TypeError` for invalid input.", + "fix_steps": "In `demo_code.py`, inside `get_digits`, replace `assert all([isinstance(i, int) for i in min_max])` with robust validation that checks type and length. For example:\n`if not isinstance(min_max, list) or len(min_max) != 2:\n raise ValueError(\"min_max must be a list of two elements.\")\nif not all(isinstance(i, int) for i in min_max):\n raise TypeError(\"min_max elements must be integers.\")`", + "fix_effort_score": 1, + "category": "bug-risk", + "severity": "major", + "dimension": "reliability", + "impact_score": 8, + "impact_rationale": "High probability (any invalid input), moderate impact (runtime error), easy fix -> high ROI.", + "locations_of_interest": [ + { + "identifier_name": "get_digits", + "definition": { + "file_path": "demo_code.py", + "start_line": 42, + "end_line": 45 + }, + "usages": [] + }, + { + "identifier_name": "random.randint", + "definition": null, + "usages": [ + { + "file_path": "demo_code.py", + "start_line": 45, + "end_line": 45 + } + ] + } + ] }, - "usages": [] - }, - { - "identifier_name": "min_max", - "definition": { - "file_path": "demo_code.py", - "start_line": 42, - "end_line": 42 - }, - "usages": [ - { "file_path": "demo_code.py", "start_line": 44, "end_line": 44 }, - { "file_path": "demo_code.py", "start_line": 45, "end_line": 45 } - ] - } - ] - } - ] - } -] + { + "file_path": "demo_code.py", + "start_line": 42, + "end_line": 42, + "issue_title": "Mutable default argument", + "issue_description": "Using a mutable list `[1, 10]` as a default argument", + "issue_detail": "Default arguments are evaluated once at function definition. If a mutable default is modified, the change persists across calls, causing unexpected behavior.", + "comment": "The `get_digits` method uses a list `[1, 10]` as a default value for `min_max`. Since lists are mutable, if any code modifies this default list, all subsequent calls to `get_digits` without an explicit `min_max` argument will use the modified list, which can lead to hard-to-debug bugs.\n\nUse an immutable default like `None` and create a new list inside the function if no argument is provided. For example: `def get_digits(self, min_max=None):\n if min_max is None:\n min_max = [1, 10]`.", + "fix_steps": "In `demo_code.py`, change the signature of `get_digits` to `def get_digits(self, min_max=None):`. Then, at the beginning of the method, add the lines: `if min_max is None:\\n min_max = [1, 10]`. This avoids using a mutable list as a default argument, preventing unexpected side-effects between calls.", + "fix_effort_score": 1, + "category": "antipattern", + "severity": "major", + "dimension": "reliability", + "impact_score": 7, + "impact_rationale": "Moderate probability (requires modification of default), high impact (hard-to-debug side effects), easy fix -> good ROI.", + "locations_of_interest": [ + { + "identifier_name": "get_digits", + "definition": { + "file_path": "demo_code.py", + "start_line": 42, + "end_line": 45 + }, + "usages": [] + } + ] + } + ], + "ai_overview": "", + "file_path": "demo_code.py" + } +] \ No newline at end of file