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Update app.py
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app.py
CHANGED
@@ -9,50 +9,51 @@ llm = ChatGroq(
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from crewai import Agent, Task, Crew
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import os
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Code_Quality_agent = Agent(
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role="Senior Software Engineer",
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goal="Provide the best support quality assurance to the code written by the member in your team",
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backstory="You work in a financial organization. The Goal is to identify bugs,"
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" security should be a top concern. Look for common Look for common"
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" vulnerabilities like SQL injection, cross-site scripting (XSS), "
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"and insecure data handling practices.Ensure the code adheres to"
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" secure coding standards established by the organization or "
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"industry.Scrutinize how the code validates user input to prevent"
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" malicious attacks.For code involving financial calculations"
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" (e.g., interest rates, risk assessments), double-check the formulas"
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" and logic for accuracy. Consider edge cases and ensure the code behave"
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"s as intended under various scenarios.Verify that the code maintains data"
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" integrity throughout processing. This includes checking for potential"
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" data loss, corruption, or unauthorized access.Ensure the code complies"
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" with relevant industry standards and regulations.",
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verbose=True,
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allow_delegation=False,
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llm = llm
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)
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Code_Review = Task(expected_output=(
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"You would be given code as an input for the code review {code}. "
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"Make sure to use everything you know to provide the best support possible."
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"Provide clear and actionable feedback to the code author. Maintain a collaborative and respectful tone throughout the review process.Ensure the code complies with relevant industry standards and regulations."
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),
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description=(
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"You would be given a code as an input for the code review {code}."
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"Make sure to use everything you know to provide the best support possible."
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"You must strive to provide a complete and accurate response."
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),
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llm = llm,
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agent= Code_Quality_agent,
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)
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crew = Crew(
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agents=[Code_Quality_agent],
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tasks=[Code_Review],
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verbose=0,
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)
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def predict(item):
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from crewai import Agent, Task, Crew
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import os
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def predict(item):
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Code_Quality_agent = Agent(
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role="Senior Software Engineer",
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goal="Provide the best support quality assurance to the code written by the member in your team",
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backstory="You work in a financial organization. The Goal is to identify bugs,"
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" security should be a top concern. Look for common Look for common"
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" vulnerabilities like SQL injection, cross-site scripting (XSS), "
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"and insecure data handling practices.Ensure the code adheres to"
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" secure coding standards established by the organization or "
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"industry.Scrutinize how the code validates user input to prevent"
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" malicious attacks.For code involving financial calculations"
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" (e.g., interest rates, risk assessments), double-check the formulas"
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" and logic for accuracy. Consider edge cases and ensure the code behave"
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"s as intended under various scenarios.Verify that the code maintains data"
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" integrity throughout processing. This includes checking for potential"
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" data loss, corruption, or unauthorized access.Ensure the code complies"
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" with relevant industry standards and regulations.",
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verbose=True,
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allow_delegation=False,
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llm = llm
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)
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Code_Review = Task(expected_output=(
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"You would be given code as an input for the code review {code}. "
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"Make sure to use everything you know to provide the best support possible."
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"Provide clear and actionable feedback to the code author. Maintain a collaborative and respectful tone throughout the review process.Ensure the code complies with relevant industry standards and regulations."
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),
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description=(
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"You would be given a code as an input for the code review {code}."
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"Make sure to use everything you know to provide the best support possible."
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"You must strive to provide a complete and accurate response."
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),
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llm = llm,
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agent= Code_Quality_agent,
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)
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crew = Crew(
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agents=[Code_Quality_agent],
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tasks=[Code_Review],
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verbose=0,
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)
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input = {code:item['code']}
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result = crew.kickoff(inputs=inputs)
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return result
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