mirror of
https://github.com/aljazceru/Auto-GPT.git
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Merge pull request #1007 from drikusroor/fix-flake8-issues
Fix flake8 issues
This commit is contained in:
4
.github/workflows/ci.yml
vendored
4
.github/workflows/ci.yml
vendored
@@ -31,8 +31,8 @@ jobs:
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pip install -r requirements.txt
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- name: Lint with flake8
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continue-on-error: true
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run: flake8 scripts/ tests/
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continue-on-error: false
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run: flake8 scripts/ tests/ --select E303,W293,W291,W292,E305
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- name: Run unittest tests with coverage
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run: |
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@@ -341,4 +341,7 @@ This project uses [flake8](https://flake8.pycqa.org/en/latest/) for linting. To
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```
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flake8 scripts/ tests/
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# Or, if you want to run flake8 with the same configuration as the CI:
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flake8 scripts/ tests/ --select E303,W293,W291,W292,E305
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```
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@@ -45,8 +45,6 @@ def improve_code(suggestions: List[str], code: str) -> str:
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result_string = call_ai_function(function_string, args, description_string)
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return result_string
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def write_tests(code: str, focus: List[str]) -> str:
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"""
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A function that takes in code and focus topics and returns a response from create chat completion api call.
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@@ -41,7 +41,7 @@ def scrape_text(url):
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# Restrict access to local files
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if check_local_file_access(url):
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return "Error: Access to local files is restricted"
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# Validate the input URL
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if not is_valid_url(url):
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# Sanitize the input URL
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@@ -61,7 +61,7 @@ class Config(metaclass=Singleton):
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self.use_mac_os_tts = False
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self.use_mac_os_tts = os.getenv("USE_MAC_OS_TTS")
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self.google_api_key = os.getenv("GOOGLE_API_KEY")
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self.custom_search_engine_id = os.getenv("CUSTOM_SEARCH_ENGINE_ID")
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@@ -80,4 +80,4 @@ def search_files(directory):
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relative_path = os.path.relpath(os.path.join(root, file), working_directory)
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found_files.append(relative_path)
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return found_files
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return found_files
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@@ -159,6 +159,7 @@ class ConsoleHandler(logging.StreamHandler):
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except Exception:
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self.handleError(record)
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'''
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Allows to handle custom placeholders 'title_color' and 'message_no_color'.
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To use this formatter, make sure to pass 'color', 'title' as log extras.
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@@ -44,6 +44,7 @@ def get_memory(cfg, init=False):
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def get_supported_memory_backends():
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return supported_memory
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__all__ = [
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"get_memory",
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"LocalCache",
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@@ -61,7 +61,7 @@ def gtts_speech(text):
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def macos_tts_speech(text, voice_index=0):
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if voice_index == 0:
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os.system(f'say "{text}"')
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else:
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else:
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if voice_index == 1:
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os.system(f'say -v "Ava (Premium)" "{text}"')
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else:
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@@ -79,7 +79,7 @@ def say_text(text, voice_index=0):
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success = eleven_labs_speech(text, voice_index)
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if not success:
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gtts_speech(text)
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queue_semaphore.release()
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queue_semaphore.acquire(True)
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@@ -45,5 +45,6 @@ class TestLocalCache(unittest.TestCase):
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self.assertEqual(len(relevant_texts), k)
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self.assertIn(self.example_texts[1], relevant_texts)
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if __name__ == '__main__':
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unittest.main()
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@@ -47,5 +47,6 @@ class TestLocalCache(unittest.TestCase):
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stats = self.cache.get_stats()
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self.assertEqual(stats, (1, self.cache.data.embeddings.shape))
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if __name__ == '__main__':
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unittest.main()
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@@ -33,8 +33,6 @@ Additional aspects:
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- The function uses a generator expression to split the text into lines and chunks, which can improve performance for large amounts of text.
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"""
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class TestScrapeText:
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# Tests that scrape_text() returns the expected text when given a valid URL.
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@@ -66,8 +66,6 @@ class TestParseJson(unittest.TestCase):
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# Assert that this raises an exception:
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self.assertEqual(fix_and_parse_json(json_str, try_to_fix_with_gpt=False), good_obj)
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def test_invalid_json_leading_sentence_with_gpt(self):
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# Test that a REALLY invalid JSON string raises an error when try_to_fix_with_gpt is False
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json_str = """I will first need to browse the repository (https://github.com/Torantulino/Auto-GPT) and identify any potential bugs that need fixing. I will use the "browse_website" command for this.
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@@ -108,6 +106,5 @@ class TestParseJson(unittest.TestCase):
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self.assertEqual(fix_and_parse_json(json_str, try_to_fix_with_gpt=False), good_obj)
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if __name__ == '__main__':
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unittest.main()
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@@ -68,8 +68,6 @@ class TestParseJson(unittest.TestCase):
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# Assert that this raises an exception:
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self.assertEqual(fix_and_parse_json(json_str, try_to_fix_with_gpt=False), good_obj)
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def test_invalid_json_leading_sentence_with_gpt(self):
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# Test that a REALLY invalid JSON string raises an error when try_to_fix_with_gpt is False
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json_str = """I will first need to browse the repository (https://github.com/Torantulino/Auto-GPT) and identify any potential bugs that need fixing. I will use the "browse_website" command for this.
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@@ -110,6 +108,5 @@ class TestParseJson(unittest.TestCase):
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self.assertEqual(fix_and_parse_json(json_str, try_to_fix_with_gpt=False), good_obj)
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if __name__ == '__main__':
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unittest.main()
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