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now you are LLM application design and development expert. please review the blow function requirement, once you understand, just reply understand. Now I write a LLM application which BA can use it to generate the user story. The Functional requirement and no-function requirement as below： Functional Requirement

  1. At the beginning of the project initiative, the BA will provide a detailed project background for reference.
  2. Each session will focus on only one user requirement input, and the BA will input it for clarity.
  3. The program will retrieve the project background along with all the dependent existing user requirements and combine them with new inputs.
  4. After combining all the context, the system will use a predefined prompt template to call LLM and generate a user story that fulfills BDD style requirements.
  5. The generated user story will be stored and made persistent throughout the entire process.
    Assumptions:
  6. The BA will ensure that each individual user requirement is appropriately sized.
    Considerations:
  7. The project background is intricate and may require multiple review sessions.
  8. The user requirements can be complex, and after several sessions, the combined context may become overwhelming in size.
  9. The data such as project background, user input, and generated user story should be persistent for future reference.
  10. The BA can review the generated user story and make revisions as necessary. The system will save both versions for future reference.

Claude-3-Opus

Claude-3-Opus

Poe

Understood.

please provide detail design step by step

Claude-3-Opus

Claude-3-Opus

Poe

Sure, here's a detailed design for the LLM application based on the functional requirements and considerations you provided:

  1. Project Background Input:

    • Create a dedicated input area for the BA to provide the detailed project background.
    • Implement a data persistence mechanism to store the project background securely.
    • Allow the BA to review and update the project background as needed.

  2. User Requirement Input:

    • Create an input interface for the BA to enter individual user requirements.
    • Implement form validation to ensure that the input is not empty and meets any necessary format requirements.
    • Store each user requirement separately and associate it with the corresponding project.

  3. Context Combination:

    • Retrieve the project background and all the existing user requirements for the current project.
    • Combine the project background, existing user requirements, and the new user requirement input into a single context.
    • Implement efficient data retrieval and combination mechanisms to handle large amounts of context data.

  4. Prompt Template and LLM Integration:

    • Define a prompt template that follows the BDD (Behavior-Driven Development) style for generating user stories.
    • Integrate an LLM (Language Model) API or library into the application.
    • Pass the combined context and the prompt template to the LLM to generate the user story.
    • Handle any API limitations, such as input size restrictions, by chunking the context if necessary.

  5. User Story Storage and Persistence:

    • Store the generated user story in a database or a suitable storage system.
    • Associate the user story with the corresponding project and user requirement.
    • Implement a data persistence mechanism to ensure that the user stories are available for future reference.

  6. User Story Review and Revision:

    • Provide an interface for the BA to review the generated user story.
    • Allow the BA to make revisions to the user story if needed.
    • Store both the original and revised versions of the user story.
    • Implement version control or tracking mechanisms to keep a history of the changes made to the user story.

  7. Error Handling and Logging:

    • Implement error handling mechanisms to gracefully handle any exceptions or errors that may occur during the process.
    • Log any errors or important events for debugging and monitoring purposes.

  8. User Interface and User Experience:

    • Design an intuitive and user-friendly interface for the BA to interact with the application.
    • Provide clear instructions and guidance throughout the process.
    • Implement appropriate feedback mechanisms to keep the BA informed about the progress and status of the operations.

  9. Security and Access Control:

    • Implement authentication and authorization mechanisms to ensure that only authorized BAs can access the application.
    • Secure sensitive data, such as project backgrounds and user requirements, using encryption or access control measures.

  10. Testing and Deployment:

-   Develop comprehensive unit tests to verify the functionality of individual components.
-   Perform integration testing to ensure that all the components work together seamlessly.
-   Conduct user acceptance testing with BAs to gather feedback and make necessary improvements.
-   Prepare the application for deployment, considering scalability, performance, and security aspects.

Remember to break down each step into smaller tasks and prioritize them based on the project timeline and resources available. Regularly communicate with the stakeholders and gather feedback throughout the development process to ensure that the application meets their expectations.

for above 3 context combination, please elaborate more details

Claude-3-Opus

Claude-3-Opus

Poe

Certainly! Let's dive deeper into the context combination step:

3.1. Retrieve Project Background:

  • Implement a function to retrieve the project background from the storage system based on the current project identifier.
  • Handle any potential errors that may occur during the retrieval process, such as database connection issues or data corruption.
  • Validate the retrieved project background to ensure it is not empty or malformed.

3.2. Retrieve Existing User Requirements:

  • Implement a function to retrieve all the existing user requirements associated with the current project.
  • Use appropriate queries or filters to fetch only the relevant user requirements.
  • Handle any potential errors that may occur during the retrieval process.
  • Validate the retrieved user requirements to ensure they are not empty or malformed.

3.3. Combine Project Background and User Requirements:

  • Create a data structure (e.g., a class or object) to represent the combined context.
  • Initialize the combined context with the retrieved project background.
  • Iterate through the existing user requirements and append each requirement to the combined context.
  • Maintain the order of the user requirements to preserve the logical flow of the project.

3.4. Append New User Requirement:

  • Add the new user requirement input to the combined context.
  • Ensure that the new requirement is appended at the end of the existing user requirements.

3.5. Handle Large Context Data:

  • Anticipate scenarios where the combined context may become large due to a high number of user requirements or extensive project background.
  • Implement mechanisms to handle large context data efficiently, such as:
    • Pagination: Divide the context into smaller chunks and process them in batches.
    • Streaming: Use streaming techniques to process the context incrementally instead of loading everything into memory at once.
    • Compression: Apply data compression techniques to reduce the size of the context data when storing or transmitting it.

3.6. Context Validation:

  • Perform validation checks on the combined context to ensure its integrity and completeness.
  • Check for any missing or inconsistent data elements.
  • Validate that the combined context adheres to any predefined structure or format requirements.

3.7. Context Caching (Optional):

  • Implement a caching mechanism to store frequently accessed or recently combined contexts.
  • Use caching techniques (e.g., in-memory caching, distributed caching) to improve performance by reducing the need for repeated data retrieval and combination.
  • Define appropriate cache invalidation strategies to ensure that the cached contexts remain up to date.

3.8. Error Handling and Logging:

  • Implement error handling mechanisms to catch and handle any exceptions that may occur during the context combination process.
  • Log any errors or warnings encountered during the process for debugging and monitoring purposes.
  • Provide meaningful error messages or notifications to the user (BA) in case of any failures or issues.

3.9. Performance Optimization:

  • Analyze the performance of the context combination process, especially for large datasets.
  • Identify any bottlenecks or performance issues and optimize the code accordingly.
  • Consider using asynchronous processing or parallel execution techniques to improve the overall performance if needed.

3.10. Testing and Validation:
- Develop comprehensive unit tests to verify the functionality of the context combination process.
- Test various scenarios, including handling large context data, error cases, and edge cases.
- Validate that the combined context is accurate, complete, and in the expected format.

By elaborating on these details, you can ensure a robust and efficient implementation of the context combination step in your LLM application. Remember to adapt and optimize the implementation based on the specific requirements and constraints of your project.

To considerate the requirement complexity, i combine the project backgound and dependend user requirement only. what's your comment

Claude-3-Opus

Claude-3-Opus

Poe

Considering the complexity of the requirements and focusing on combining only the project background and dependent user requirements is a good approach. Here are a few comments and considerations:

  1. Simplified Context:

    • By combining only the project background and dependent user requirements, you simplify the context that needs to be processed by the LLM.
    • This approach reduces the complexity of the context combination step and makes it more manageable.
    • It helps in keeping the context concise and relevant to the current user requirement being worked on.

  2. Dependency Management:

    • Focusing on dependent user requirements ensures that the necessary context is available for generating the user story.
    • It is important to have a clear understanding of the dependencies between user requirements.
    • Implement a mechanism to identify and retrieve only the user requirements that are directly related to or dependent on the current user requirement.
    • This helps in maintaining the coherence and consistency of the generated user stories.

  3. Scalability:

    • By limiting the context to the project background and dependent user requirements, you reduce the amount of data that needs to be processed and stored.
    • This approach can help in improving the scalability of the application, especially when dealing with large projects or a high volume of user requirements.
    • It allows for more efficient retrieval and combination of the relevant context.

  4. Maintainability:

    • Combining only the necessary context makes the application more maintainable in the long run.
    • It reduces the complexity of the codebase and makes it easier to understand and modify.
    • It also minimizes the chances of introducing errors or inconsistencies when updating or adding new user requirements.

  5. User Story Quality:

    • While focusing on the project background and dependent user requirements helps in generating relevant user stories, it's important to consider the potential impact on the quality of the generated stories.
    • Ensure that the combined context provides sufficient information and context for the LLM to generate meaningful and comprehensive user stories.
    • Monitor the quality of the generated user stories and gather feedback from the BAs to assess if the simplified context approach meets their expectations.

  6. Flexibility:

    • Keep in mind that the approach of combining only the project background and dependent user requirements may not be suitable for all projects or scenarios.
    • Be open to adapting the approach based on the specific needs and complexities of each project.
    • If there are cases where additional context is required for generating accurate user stories, consider providing options to include that context when needed.

  7. Performance Testing:

    • Conduct performance tests to evaluate the efficiency and response time of the context combination process when dealing with large project backgrounds and a high number of dependent user requirements.
    • Identify any performance bottlenecks and optimize the code accordingly to ensure a smooth user experience.

Overall, focusing on combining the project background and dependent user requirements is a pragmatic approach to handle the complexity of the requirements. It helps in simplifying the context combination process, improving scalability, and maintainability. However, it's essential to monitor the quality of the generated user stories and be open to adaptations based on the specific needs of each project.

how make sure just generate the user story for the particular user requirement with combined project background and the dependent user requirements

Claude-3-Opus

Claude-3-Opus

Poe

To ensure that the generated user story is specific to the particular user requirement and incorporates the combined project background and dependent user requirements, you can follow these steps:

  1. User Requirement Identification:

    • Implement a mechanism to uniquely identify each user requirement within the project.
    • This can be achieved by assigning a unique identifier (e.g., requirement ID) to each user requirement.
    • Ensure that the unique identifier is stored and associated with the corresponding user requirement.

  2. Dependency Mapping:

    • Establish a dependency mapping between user requirements.
    • Identify and store the dependencies between user requirements, indicating which requirements are dependent on others.
    • This mapping can be represented using a data structure like a dependency graph or a relational database.

  3. Retrieving Dependent User Requirements:

    • When processing a particular user requirement, use the dependency mapping to retrieve all the user requirements that the current requirement depends on.
    • Traverse the dependency graph or query the relational database to fetch the dependent user requirements.
    • Ensure that the retrieval process is efficient and handles any potential circular dependencies gracefully.

  4. Combining Project Background and Dependent User Requirements:

    • Create a function or method that takes the project background and the dependent user requirements as input.
    • Combine the project background and the dependent user requirements into a coherent context.
    • Ensure that the combined context maintains the logical flow and preserves the relevant information.
    • Handle any formatting or structuring requirements specific to the LLM input.

  5. Generating User Story:

    • Pass the combined context (project background and dependent user requirements) along with the particular user requirement to the LLM.
    • Utilize the predefined prompt template that focuses on generating a user story specific to the given user requirement.
    • Ensure that the prompt template emphasizes the importance of considering the project background and dependent user requirements while generating the user story.

  6. User Story Review and Feedback:

    • Present the generated user story to the BA for review and feedback.
    • Provide an interface for the BA to assess whether the user story accurately captures the particular user requirement and aligns with the project background and dependent user requirements.
    • Allow the BA to provide feedback, suggestions, or corrections to the generated user story.

  7. Iteration and Refinement:

    • Based on the BA's feedback, iterate and refine the user story generation process.
    • Fine-tune the prompt template, context combination mechanism, or LLM parameters to improve the quality and relevance of the generated user stories.
    • Continuously monitor and assess the generated user stories to ensure they meet the expected standards and align with the project requirements.

  8. Error Handling and Logging:

    • Implement robust error handling mechanisms to gracefully handle any exceptions or errors that may occur during the user story generation process.
    • Log any errors, warnings, or relevant information for debugging and monitoring purposes.
    • Provide informative error messages or notifications to the BA in case of any issues or failures.

  9. Testing and Validation:

    • Develop comprehensive tests to verify the accuracy and relevance of the generated user stories.
    • Test various scenarios, including different user requirements, project backgrounds, and dependency combinations.
    • Validate that the generated user stories align with the specific user requirements and incorporate the project background and dependent user requirements effectively.

By following these steps, you can ensure that the generated user story is tailored to the particular user requirement while considering the combined project background and dependent user requirements. Regular feedback and iteration will help in refining the process and improving the quality of the generated user stories over time.

from above discussion, what we do will not required use langchian

Claude-3-Opus

Claude-3-Opus

Poe

You're correct. Based on the discussion above, the steps and approaches outlined do not necessarily require the use of Langchain. Langchain is a specific library that provides tools and utilities for working with language models and building applications on top of them. However, the concepts and strategies discussed can be implemented using various programming languages and libraries.

Here are a few key points to consider:

  1. Language Model Integration:

    • The discussion focuses on integrating an LLM (Language Model) to generate user stories based on the combined context.
    • While Langchain provides a convenient way to interact with language models, you can directly integrate with the LLM's API or use other libraries specific to the LLM you choose.

  2. Data Storage and Retrieval:

    • The approaches mentioned involve storing and retrieving project backgrounds, user requirements, and their dependencies.
    • This can be achieved using various data storage solutions such as databases (e.g., MySQL, PostgreSQL), document stores (e.g., MongoDB), or even file-based storage systems.
    • The choice of the storage solution depends on the specific requirements of your application, such as scalability, query performance, and data consistency.

  3. Dependency Management:

    • The discussion emphasizes the importance of managing dependencies between user requirements.
    • This can be implemented using data structures like dependency graphs or relational database tables to represent and store the dependencies.
    • You can use libraries or frameworks specific to your programming language to handle graph traversal, querying, and manipulation.

  4. Context Combination and Processing:

    • The approaches involve combining the project background and dependent user requirements into a coherent context.
    • This can be achieved using standard programming constructs like classes, objects, or data structures to represent and manipulate the context.
    • String manipulation, concatenation, and formatting techniques can be used to structure the context as required by the LLM.

  5. User Interface and Interaction:

    • The discussion mentions providing an interface for BAs to input requirements, review generated user stories, and provide feedback.
    • This can be implemented using web frameworks (e.g., Django, Flask, Express.js) or GUI libraries (e.g., Tkinter, PyQt) depending on the desired user interface and interaction model.

While Langchain offers a convenient and powerful set of tools for working with language models, it is not a strict requirement for implementing the approaches discussed. You can leverage the capabilities of your chosen programming language, libraries, and frameworks to build the application according to the specific needs and constraints of your project.

It's important to evaluate the requirements, scale, and complexity of your application and choose the tools and technologies that align with your project's goals and resources. Whether you decide to use Langchain or opt for alternative approaches, the key is to ensure that the generated user stories are of high quality, relevant to the specific user requirements, and incorporate the project background and dependent user requirements effectively.

according to the above discussion, please recommend the prompt template for generating user story. consider :Pass the combined context (project background and dependent user requirements) along with the particular user requirement to the LLM.
Utilize the predefined prompt template that focuses on generating a user story specific to the given user requirement.
Ensure that the prompt template emphasizes the importance of considering the project background and dependent user requirements while generating the user story.

Claude-3-Opus

Claude-3-Opus

Poe

Certainly! Here's a recommended prompt template for generating user stories based on the combined context (project background and dependent user requirements) and the particular user requirement:

basic

Copy

<span>Project Background:
</span>{project_background}

<span>Dependent User Requi</span><span style="color: rgb(212, 208, 171);">rements:</span><span>
</span><span>{dependent_user_requi</span><span style="color: rgb(212, 208, 171);">rements}</span><span>
</span>
<span>Particular User Requi</span><span style="color: rgb(212, 208, 171);">rement:</span><span>
</span><span>{particular_user_requi</span><span style="color: rgb(212, 208, 171);">rement}</span><span>
</span>
Instructions:
<span>Based </span><span style="color: rgb(220, 198, 224);">on</span><span> the provided project background, dependent user requi</span><span style="color: rgb(212, 208, 171);">rements, and the particular user requirement, generate a user story that captures the essence of the requirement and aligns with the project's context. Ensure that the user story follows the standard format: "As a [user role], I want [goal/desire] so that [benefit/value]."</span><span>
</span>
<span>Consider the following guidelines </span><span style="color: rgb(220, 198, 224);">while</span><span> generating the user story:
</span><span>- Clearly identify the user role </span><span style="color: rgb(220, 198, 224);">or</span><span> persona involved in the story.
</span><span>- Focus </span><span style="color: rgb(220, 198, 224);">on</span><span> the specific goal </span><span style="color: rgb(220, 198, 224);">or</span><span> desire the user wants </span><span style="color: rgb(220, 198, 224);">to</span><span> achieve.
</span><span>- Highlight the benefit </span><span style="color: rgb(220, 198, 224);">or</span><span> value the user will gain from fulfilling the requi</span><span style="color: rgb(212, 208, 171);">rement.</span><span>
</span><span>- Ensure that the user story aligns with the project background </span><span style="color: rgb(220, 198, 224);">and</span><span> considers the dependent user requi</span><span style="color: rgb(212, 208, 171);">rements.</span><span>
</span><span>- Use </span><span style="color: rgb(220, 198, 224);">clear</span><span> </span><span style="color: rgb(220, 198, 224);">and</span><span> concise language </span><span style="color: rgb(220, 198, 224);">to</span><span> describe the user story.
</span><span>- Avoid ambiguity </span><span style="color: rgb(220, 198, 224);">and</span><span> provide necessary details </span><span style="color: rgb(220, 198, 224);">to</span><span> make the user story understandable </span><span style="color: rgb(220, 198, 224);">and</span><span> actionable.
</span>
Generated User Story:

Explanation:

  • The prompt template starts with the Project Background section, where the relevant project background information is provided. This helps set the context for the user story generation.

  • Next, the Dependent User Requirements section lists the user requirements that the particular requirement depends on. This ensures that the generated user story takes into account the related requirements and maintains consistency.

  • The Particular User Requirement section focuses on the specific user requirement for which the user story needs to be generated. This helps the LLM understand the core requirement to be addressed.

  • The Instructions section provides clear guidelines and expectations for generating the user story. It emphasizes the importance of considering the project background, dependent user requirements, and the particular user requirement while crafting the story. It also specifies the standard format for user stories and highlights key aspects to include, such as user role, goal/desire, and benefit/value.

  • Finally, the Generated User Story section is where the LLM generates the user story based on the provided context and instructions.

By using this prompt template, you provide the LLM with the necessary context and guidelines to generate a user story that is specific to the particular user requirement, aligned with the project background, and considerate of the dependent user requirements.

Remember to replace {project_background}, {dependent_user_requirements}, and {particular_user_requirement} with the actual content relevant to your project and the specific user requirement being processed.

Feel free to adjust and refine the prompt template based on your specific needs and the requirements of your project. Iterating and fine-tuning the template over time will help improve the quality and relevance of the generated user stories.

can the above template to used for CHATGPT and Claude both?

Claude-3-Opus

Claude-3-Opus

Poe

Yes, the above prompt template can be used for both ChatGPT and Claude, as well as other language models that accept text-based prompts. The template provides a structured format for presenting the necessary information and guidelines to the language model, regardless of the specific model being used.

However, it's important to note that different language models may have their own unique characteristics, capabilities, and requirements. While the general structure and content of the prompt template can be used across different models, you may need to make slight adjustments based on the specific model you are working with.

Here are a few considerations:

  1. Model-specific formatting: Some language models may have specific formatting requirements or conventions. For example, they may require specific delimiters or tags to separate different sections of the prompt. Make sure to review the documentation or guidelines provided by the language model provider and adapt the template accordingly.

  2. Model capabilities: Different language models may have varying capabilities in terms of understanding and generating text. Some models may perform better with more detailed and explicit instructions, while others may work well with concise prompts. You may need to experiment and fine-tune the prompt template to optimize its effectiveness for the specific model you are using.

  3. Model parameters: Language models often have configurable parameters that control various aspects of their behavior, such as the length of the generated text, the creativity or randomness of the output, and the level of context awareness. Familiarize yourself with the available parameters for the specific model you are using and adjust them as needed to achieve the desired results.

  4. Model updates and variations: Language models are continuously evolving, and new versions or variations may be released over time. Keep an eye on updates and changes to the models you are using and adapt the prompt template accordingly if necessary.

When using the prompt template with ChatGPT, Claude, or any other language model, it's a good practice to test and iterate on the template to ensure it yields the desired results. Evaluate the generated user stories and gather feedback from stakeholders to refine and improve the template over time.

Remember that while the prompt template provides a solid foundation, the quality and relevance of the generated user stories also depend on factors such as the quality and coherence of the project background, the clarity of the user requirements, and the overall context provided to the language model.

Can you provide examples of configurable parameters for language models?

Claude-3-Opus

Claude-3-Opus

Poe

Certainly! Different language models offer various configurable parameters that allow you to control and customize their behavior. Here are a few examples of commonly available parameters:

  1. Temperature:

    • Temperature is a parameter that controls the randomness or creativity of the generated text.
    • A higher temperature value (e.g., 1.0) makes the output more random and creative, while a lower value (e.g., 0.2) makes the output more focused and deterministic.
    • Adjusting the temperature can help you find a balance between generating diverse and original text and maintaining coherence and relevance to the prompt.

  2. Max Tokens:

    • Max tokens determine the maximum length of the generated text, measured in the number of tokens (words or subwords).
    • By setting a limit on the max tokens, you can control the length of the generated user stories or any other text output.
    • This parameter helps ensure that the generated text does not exceed a desired size and maintains conciseness.

  3. Top-p (Nucleus Sampling):

    • Top-p, also known as nucleus sampling, is a parameter that controls the diversity of the generated text by considering only the most likely word choices.
    • It sets a probability threshold (between 0 and 1) and selects the smallest possible set of word choices whose cumulative probability exceeds the threshold.
    • A higher top-p value (e.g., 0.9) includes more word choices and increases diversity, while a lower value (e.g., 0.5) focuses on the most probable words and reduces diversity.

  4. Frequency Penalty:

    • Frequency penalty is a parameter that encourages the model to generate less frequent or more unique words.
    • It penalizes the model for repeating words that have already been generated in the output.
    • A higher frequency penalty value (e.g., 1.5) makes the model less likely to repeat words, while a lower value (e.g., 0.5) allows more repetition.

  5. Presence Penalty:

    • Presence penalty is a parameter that encourages the model to generate words that have not been present in the prompt or the generated text so far.
    • It penalizes the model for using words that are already present in the context.
    • A higher presence penalty value (e.g., 1.5) makes the model more likely to generate new words, while a lower value (e.g., 0.5) allows more overlap with the existing context.

  6. Stop Sequences:

    • Stop sequences are special tokens or phrases that instruct the model to stop generating further text when encountered.
    • By specifying stop sequences, you can control where the generated text should end or prevent the model from generating certain patterns or phrases.
    • For example, you can set a stop sequence like [END] to indicate the end of the user story.

These are just a few examples of configurable parameters available in language models. The specific parameters and their names may vary depending on the language model provider or the API you are using.

It's important to refer to the documentation or guidelines provided by the language model provider to understand the available parameters, their ranges, and their effects on the generated text. Experimentation and fine-tuning of these parameters can help you achieve the desired output quality and style for your specific use case.

Keep in mind that adjusting these parameters requires careful consideration and testing to strike the right balance between generating relevant, coherent, and diverse text while maintaining the intended purpose and quality of the generated user stories.

we just store vector of user requirement, project background, and dependent user requirement. and use vector to for user generation. what's your comment for this approach

Claude-3-Opus

Claude-3-Opus

Poe

Storing vectors of user requirements, project background, and dependent user requirements for user story generation is a promising approach. This technique leverages the power of vector representations to capture the semantic meaning and relationships between different pieces of information. Here are some comments and considerations regarding this approach:

  1. Semantic Representation:

    • By converting user requirements, project background, and dependent user requirements into vector representations, you can capture their semantic meaning in a dense and compact format.
    • Vector representations allow for a more nuanced and contextual understanding of the information compared to raw text.
    • This enables the language model to better comprehend the relationships and dependencies between different elements.

  2. Similarity and Relevance:

    • Vector representations enable the measurement of similarity and relevance between different user requirements, project backgrounds, and dependent user requirements.
    • By calculating the cosine similarity or other distance metrics between vectors, you can identify related or dependent requirements.
    • This helps in retrieving the most relevant information when generating user stories for a specific requirement.

  3. Efficient Storage and Retrieval:

    • Storing information as vectors is more space-efficient compared to storing raw text.
    • Vector databases or similarity search engines can be used to efficiently store and retrieve vectors based on their similarity.
    • This allows for fast and scalable retrieval of relevant information during the user story generation process.

  4. Integration with Language Models:

    • Vector representations can be seamlessly integrated with language models like ChatGPT or Claude.
    • The stored vectors can be used as input to the language model, providing it with the necessary context and dependencies.
    • The language model can then generate user stories based on the input vectors, taking into account the semantic relationships and relevance.

  5. Continuous Improvement:

    • As new user requirements, project backgrounds, or dependencies are added, their vectors can be easily stored and integrated into the existing system.
    • The vector-based approach allows for continuous improvement and expansion of the knowledge base without requiring significant changes to the underlying architecture.

  6. Potential Challenges:

    • Generating high-quality vector representations requires careful preprocessing and encoding of the text data.
    • Techniques like word embeddings (e.g., Word2Vec, GloVe) or sentence embeddings (e.g., BERT, RoBERTa) can be used to convert text into vectors.
    • Ensuring the quality and consistency of vector representations is crucial for accurate similarity calculations and retrieval.

  7. Evaluation and Iteration:

    • It's important to evaluate the quality and relevance of the generated user stories based on the vector approach.
    • Feedback from stakeholders and iterative refinement can help improve the vector representations and the overall user story generation process.
    • Regular monitoring and assessment of the system's performance can identify areas for improvement and ensure the generated user stories meet the desired quality standards.

Overall, storing vectors of user requirements, project background, and dependent user requirements is a promising approach for user story generation. It leverages the power of semantic representations, enables efficient storage and retrieval, and allows for seamless integration with language models.

However, it's important to carefully preprocess and encode the text data, ensure the quality of vector representations, and continuously evaluate and iterate on the system to achieve the best results. Combining this vector-based approach with the prompt template and guidelines discussed earlier can lead to a powerful and effective user story generation solution.

Put the vector approach aside, focus using raw text. according to the above discussion, please provide the database design , we use PostgreSQL

Claude-3-Opus

Claude-3-Opus

Poe

Certainly! Based on the discussion above, here's a proposed database design using PostgreSQL to store and manage the raw text data for user story generation:

sql

Copy

<span style="color: rgb(212, 208, 171);">-- Table: projects</span><span>
</span><span></span><span style="color: rgb(220, 198, 224);">CREATE</span><span> </span><span style="color: rgb(220, 198, 224);">TABLE</span><span> projects (
</span><span>  id SERIAL </span><span style="color: rgb(220, 198, 224);">PRIMARY</span><span> KEY,
</span><span>  name </span><span style="color: rgb(245, 171, 53);">VARCHAR</span><span>(</span><span style="color: rgb(245, 171, 53);">255</span><span>) </span><span style="color: rgb(220, 198, 224);">NOT</span><span> </span><span style="color: rgb(220, 198, 224);">NULL</span><span>,
</span>  description TEXT
);

<span></span><span style="color: rgb(212, 208, 171);">-- Table: user_requirements</span><span>
</span><span></span><span style="color: rgb(220, 198, 224);">CREATE</span><span> </span><span style="color: rgb(220, 198, 224);">TABLE</span><span> user_requirements (
</span><span>  id SERIAL </span><span style="color: rgb(220, 198, 224);">PRIMARY</span><span> KEY,
</span><span>  project_id </span><span style="color: rgb(245, 171, 53);">INTEGER</span><span> </span><span style="color: rgb(220, 198, 224);">REFERENCES</span><span> projects(id),
</span><span>  title </span><span style="color: rgb(245, 171, 53);">VARCHAR</span><span>(</span><span style="color: rgb(245, 171, 53);">255</span><span>) </span><span style="color: rgb(220, 198, 224);">NOT</span><span> </span><span style="color: rgb(220, 198, 224);">NULL</span><span>,
</span>  description TEXT,
<span>  created_at </span><span style="color: rgb(245, 171, 53);">TIMESTAMP</span><span> </span><span style="color: rgb(220, 198, 224);">DEFAULT</span><span> </span><span style="color: rgb(245, 171, 53);">CURRENT_TIMESTAMP</span><span>
</span>);

<span></span><span style="color: rgb(212, 208, 171);">-- Table: requirement_dependencies</span><span>
</span><span></span><span style="color: rgb(220, 198, 224);">CREATE</span><span> </span><span style="color: rgb(220, 198, 224);">TABLE</span><span> requirement_dependencies (
</span><span>  requirement_id </span><span style="color: rgb(245, 171, 53);">INTEGER</span><span> </span><span style="color: rgb(220, 198, 224);">REFERENCES</span><span> user_requirements(id),
</span><span>  dependent_requirement_id </span><span style="color: rgb(245, 171, 53);">INTEGER</span><span> </span><span style="color: rgb(220, 198, 224);">REFERENCES</span><span> user_requirements(id),
</span><span>  </span><span style="color: rgb(220, 198, 224);">PRIMARY</span><span> KEY (requirement_id, dependent_requirement_id)
</span>);

<span></span><span style="color: rgb(212, 208, 171);">-- Table: user_stories</span><span>
</span><span></span><span style="color: rgb(220, 198, 224);">CREATE</span><span> </span><span style="color: rgb(220, 198, 224);">TABLE</span><span> user_stories (
</span><span>  id SERIAL </span><span style="color: rgb(220, 198, 224);">PRIMARY</span><span> KEY,
</span><span>  requirement_id </span><span style="color: rgb(245, 171, 53);">INTEGER</span><span> </span><span style="color: rgb(220, 198, 224);">REFERENCES</span><span> user_requirements(id),
</span><span>  story TEXT </span><span style="color: rgb(220, 198, 224);">NOT</span><span> </span><span style="color: rgb(220, 198, 224);">NULL</span><span>,
</span><span>  created_at </span><span style="color: rgb(245, 171, 53);">TIMESTAMP</span><span> </span><span style="color: rgb(220, 198, 224);">DEFAULT</span><span> </span><span style="color: rgb(245, 171, 53);">CURRENT_TIMESTAMP</span><span>
</span>);

Explanation of the database design:

  1. projects table:

    • Stores information about each project.
    • id: Primary key for uniquely identifying a project.
    • name: Name of the project.
    • description: Optional description or background information about the project.

  2. user_requirements table:

    • Stores individual user requirements for each project.
    • id: Primary key for uniquely identifying a user requirement.
    • project_id: Foreign key referencing the associated project in the projects table.
    • title: Title or summary of the user requirement.
    • description: Detailed description of the user requirement.
    • created_at: Timestamp indicating when the user requirement was created.

  3. requirement_dependencies table:

    • Represents the dependencies between user requirements.
    • requirement_id: Foreign key referencing the user requirement that has a dependency.
    • dependent_requirement_id: Foreign key referencing the user requirement that is depended upon.
    • The combination of requirement_id and dependent_requirement_id forms the primary key to ensure unique dependencies.

  4. user_stories table:

    • Stores the generated user stories for each user requirement.
    • id: Primary key for uniquely identifying a user story.
    • requirement_id: Foreign key referencing the associated user requirement in the user_requirements table.
    • story: The generated user story text.
    • created_at: Timestamp indicating when the user story was generated.

This database design allows you to store and manage the raw text data for projects, user requirements, dependencies between requirements, and generated user stories.

To generate user stories, you can retrieve the relevant data from the projects, user_requirements, and requirement_dependencies tables, combine them into the necessary context, and pass them to the language model using the prompt template discussed earlier. The generated user stories can then be stored in the user_stories table, associated with their respective user requirements.

You can use SQL queries to retrieve the data, such as:

sql

Copy

<span style="color: rgb(212, 208, 171);">-- Retrieve project background and user requirements for a specific project</span><span>
</span><span></span><span style="color: rgb(220, 198, 224);">SELECT</span><span> p.description </span><span style="color: rgb(220, 198, 224);">AS</span><span> project_background, r.title, r.description
</span><span></span><span style="color: rgb(220, 198, 224);">FROM</span><span> projects p
</span><span></span><span style="color: rgb(220, 198, 224);">JOIN</span><span> user_requirements r </span><span style="color: rgb(220, 198, 224);">ON</span><span> p.id </span><span class="hljs-operator">=</span><span> r.project_id
</span><span></span><span style="color: rgb(220, 198, 224);">WHERE</span><span> p.id </span><span class="hljs-operator">=</span><span> </span><span class="hljs-operator">&lt;</span><span>project_id</span><span class="hljs-operator">&gt;</span><span>;
</span>
<span></span><span style="color: rgb(212, 208, 171);">-- Retrieve dependent user requirements for a specific requirement</span><span>
</span><span></span><span style="color: rgb(220, 198, 224);">SELECT</span><span> r.title, r.description
</span><span></span><span style="color: rgb(220, 198, 224);">FROM</span><span> user_requirements r
</span><span></span><span style="color: rgb(220, 198, 224);">JOIN</span><span> requirement_dependencies d </span><span style="color: rgb(220, 198, 224);">ON</span><span> r.id </span><span class="hljs-operator">=</span><span> d.dependent_requirement_id
</span><span></span><span style="color: rgb(220, 198, 224);">WHERE</span><span> d.requirement_id </span><span class="hljs-operator">=</span><span> </span><span class="hljs-operator">&lt;</span><span>requirement_id</span><span class="hljs-operator">&gt;</span><span>;
</span>

Remember to replace <project_id> and <requirement_id> with the actual IDs of the project and user requirement you are working with.

This database design provides a structured way to store and retrieve the necessary data for user story generation using raw text. You can further enhance the design based on your specific requirements, such as adding additional fields, indexes, or constraints as needed.

please review above context, once done, just answers done

Claude-3-Opus

Claude-3-Opus

Poe

Done.

now you are LLM application design and development expert. please according to above discussion, refine the detail design with better approach (use raw text data)

Claude-3-Opus

Claude-3-Opus

Poe

As an LLM application design and development expert, I would like to refine the detailed design approach using raw text data based on the previous discussion. Here's an improved design:

  1. Database Design:

    • Use a PostgreSQL database to store the raw text data.
    • Create tables for projects, user requirements, requirement dependencies, and user stories, similar to the previous design.
    • Add a new table called requirement_context to store the combined context for each user requirement.

  2. Data Preprocessing:

    • Before storing the raw text data in the database, perform necessary preprocessing steps:
      • Tokenize the text data to break it down into individual words or subwords.
      • Remove stop words, punctuation, and perform stemming or lemmatization to normalize the text.
      • Handle any domain-specific terminology or abbreviations consistently.

  3. Context Generation:

    • For each user requirement, generate the combined context by concatenating the project background, dependent user requirements, and the particular user requirement itself.
    • Store the combined context in the requirement_context table, associated with the respective user requirement.

  4. Prompt Template:

    • Create a well-defined prompt template that includes placeholders for the combined context and instructions for generating user stories.
    • The prompt template should emphasize the importance of considering the project background, dependent user requirements, and the specific user requirement while generating the user story.
    • Include guidelines for format, clarity, and conciseness in the generated user stories.

  5. User Story Generation:

    • Retrieve the combined context for a specific user requirement from the requirement_context table.
    • Inject the combined context into the prompt template, replacing the placeholders.
    • Pass the completed prompt to the LLM (e.g., ChatGPT, Claude) to generate the user story.
    • Process the generated user story by removing any irrelevant or incomplete parts.

  6. User Story Storage:

    • Store the generated user story in the user_stories table, associated with the respective user requirement.
    • Include metadata such as the timestamp of generation and any other relevant information.

  7. Iteration and Feedback:

    • Provide a mechanism for users to review and provide feedback on the generated user stories.
    • Collect feedback data and store it in a separate table, associated with the user story and user requirement.
    • Use the feedback data to continuously improve the prompt template, preprocessing steps, and overall generation process.

  8. Monitoring and Evaluation:

    • Implement monitoring and logging mechanisms to track the performance and quality of the user story generation process.
    • Regularly evaluate the generated user stories against predefined quality metrics, such as relevance, clarity, and adherence to the user requirement.
    • Use evaluation results to identify areas for improvement and make necessary adjustments to the system.

  9. API and Integration:

    • Develop an API layer that exposes endpoints for generating user stories, retrieving project and requirement details, and providing feedback.
    • Ensure the API is secure, scalable, and follows best practices for RESTful design.
    • Integrate the API with the frontend application or other systems that consume the generated user stories.

  10. Continuous Improvement:

-   Establish a process for regularly updating and fine-tuning the LLM based on the collected feedback and evaluation results.
-   Explore advanced techniques such as few-shot learning or fine-tuning on domain-specific data to improve the quality and relevance of the generated user stories.
-   Stay updated with the latest advancements in LLM research and incorporate relevant improvements into the system.

By following this refined design approach, you can create a robust and efficient system for generating user stories using raw text data. The combination of a well-structured database, effective preprocessing, a carefully designed prompt template, and continuous iteration and improvement will help ensure the generation of high-quality and relevant user stories.

Remember to adapt and customize this design based on your specific requirements, scale, and the characteristics of the LLM you are working with. Regular testing, monitoring, and gathering user feedback will be crucial for the success and continuous enhancement of the user story generation system.

according to your recommend design, please start to design the services at the first

Claude-3-Opus

Claude-3-Opus

Poe

Certainly! Let's design the services based on the recommended design. We'll start by defining the key services and their responsibilities.

  1. Project Service:

    • Create a new project
    • Retrieve project details by ID
    • Update project information
    • Delete a project
    • List all projects

  2. User Requirement Service:

    • Create a new user requirement
    • Retrieve user requirement details by ID
    • Update user requirement information
    • Delete a user requirement
    • List user requirements for a specific project
    • Add a dependency between user requirements
    • Remove a dependency between user requirements

  3. Context Generation Service:

    • Generate the combined context for a user requirement
    • Retrieve the combined context for a user requirement
    • Update the combined context for a user requirement

  4. User Story Generation Service:

    • Generate a user story for a specific user requirement
    • Retrieve a user story by ID
    • List user stories for a specific user requirement
    • Delete a user story

  5. Feedback Service:

    • Create a new feedback entry for a user story
    • Retrieve feedback entries for a user story
    • Update a feedback entry
    • Delete a feedback entry

  6. Monitoring and Evaluation Service:

    • Log the performance metrics of user story generation
    • Retrieve performance metrics for a specific time period
    • Evaluate generated user stories against quality metrics
    • Generate reports on system performance and quality

Now, let's define the API endpoints for each service:

  1. Project Service:

    • POST /projects: Create a new project
    • GET /projects/{projectId}: Retrieve project details by ID
    • PUT /projects/{projectId}: Update project information
    • DELETE /projects/{projectId}: Delete a project
    • GET /projects: List all projects

  2. User Requirement Service:

    • POST /projects/{projectId}/requirements: Create a new user requirement
    • GET /projects/{projectId}/requirements/{requirementId}: Retrieve user requirement details by ID
    • PUT /projects/{projectId}/requirements/{requirementId}: Update user requirement information
    • DELETE /projects/{projectId}/requirements/{requirementId}: Delete a user requirement
    • GET /projects/{projectId}/requirements: List user requirements for a specific project
    • POST /projects/{projectId}/requirements/{requirementId}/dependencies: Add a dependency between user requirements
    • DELETE /projects/{projectId}/requirements/{requirementId}/dependencies/{dependencyId}: Remove a dependency between user requirements

  3. Context Generation Service:

    • POST /projects/{projectId}/requirements/{requirementId}/context: Generate the combined context for a user requirement
    • GET /projects/{projectId}/requirements/{requirementId}/context: Retrieve the combined context for a user requirement
    • PUT /projects/{projectId}/requirements/{requirementId}/context: Update the combined context for a user requirement

  4. User Story Generation Service:

    • POST /projects/{projectId}/requirements/{requirementId}/stories: Generate a user story for a specific user requirement
    • GET /projects/{projectId}/requirements/{requirementId}/stories/{storyId}: Retrieve a user story by ID
    • GET /projects/{projectId}/requirements/{requirementId}/stories: List user stories for a specific user requirement
    • DELETE /projects/{projectId}/requirements/{requirementId}/stories/{storyId}: Delete a user story

  5. Feedback Service:

    • POST /projects/{projectId}/requirements/{requirementId}/stories/{storyId}/feedback: Create a new feedback entry for a user story
    • GET /projects/{projectId}/requirements/{requirementId}/stories/{storyId}/feedback: Retrieve feedback entries for a user story
    • PUT /projects/{projectId}/requirements/{requirementId}/stories/{storyId}/feedback/{feedbackId}: Update a feedback entry
    • DELETE /projects/{projectId}/requirements/{requirementId}/stories/{storyId}/feedback/{feedbackId}: Delete a feedback entry

  6. Monitoring and Evaluation Service:

    • POST /monitoring/metrics: Log the performance metrics of user story generation
    • GET /monitoring/metrics: Retrieve performance metrics for a specific time period
    • POST /evaluation/stories: Evaluate generated user stories against quality metrics
    • GET /evaluation/reports: Generate reports on system performance and quality

These service designs and API endpoints provide a structured approach to building the user story generation system. Each service encapsulates specific functionalities and interacts with the corresponding database tables.

Remember to implement appropriate request and response models for each API endpoint, handle errors and validations, and ensure proper authentication and authorization mechanisms are in place.

Additionally, consider implementing caching mechanisms to improve performance, especially for frequently accessed data such as project details and user requirements.

As you develop these services, make sure to follow best practices for API design, such as using meaningful HTTP methods, providing clear and concise documentation, and versioning your API if necessary.

Finally, consider deploying these services using containerization technologies like Docker to ensure portability and scalability across different environments.

please provide the pseudocode of project service

Claude-3-Opus

Claude-3-Opus

Poe

Certainly! Here's the pseudocode for the Project Service:

angelscript

Copy

<span style="color: rgb(220, 198, 224);">class</span><span> </span><span style="color: rgb(171, 227, 56);">ProjectService:
</span><span style="color: rgb(171, 227, 56);">    </span><span style="color: rgb(171, 227, 56);">def</span><span> </span><span style="color: rgb(171, 227, 56);">__init__</span><span>(</span><span style="color: rgb(171, 227, 56);">database</span><span>):
</span><span>        </span><span style="color: rgb(171, 227, 56);">this</span><span>.</span><span style="color: rgb(171, 227, 56);">database</span><span> = </span><span style="color: rgb(171, 227, 56);">database</span><span>
</span>
<span>    </span><span style="color: rgb(171, 227, 56);">def</span><span> </span><span style="color: rgb(171, 227, 56);">createProject</span><span>(</span><span style="color: rgb(171, 227, 56);">name, </span><span style="color: rgb(171, 227, 56);">description</span><span>):
</span><span>        // </span><span style="color: rgb(171, 227, 56);">Validate</span><span> </span><span style="color: rgb(171, 227, 56);">input</span><span> </span><span style="color: rgb(171, 227, 56);">parameters</span><span>
</span><span>        </span><span style="color: rgb(171, 227, 56);">if</span><span> </span><span style="color: rgb(171, 227, 56);">name</span><span> </span><span style="color: rgb(171, 227, 56);">is</span><span> </span><span style="color: rgb(171, 227, 56);">empty:
</span><span style="color: rgb(171, 227, 56);">            </span><span style="color: rgb(171, 227, 56);">throw</span><span> </span><span style="color: rgb(171, 227, 56);">InvalidInputException</span><span>("</span><span style="color: rgb(171, 227, 56);">Project</span><span> </span><span style="color: rgb(171, 227, 56);">name</span><span> </span><span style="color: rgb(171, 227, 56);">cannot</span><span> </span><span style="color: rgb(171, 227, 56);">be</span><span> </span><span style="color: rgb(171, 227, 56);">empty</span><span>")
</span>
<span>        // </span><span style="color: rgb(171, 227, 56);">Create</span><span> </span><span style="color: rgb(171, 227, 56);">a</span><span> </span><span style="color: rgb(171, 227, 56);">new</span><span> </span><span style="color: rgb(171, 227, 56);">project</span><span> </span><span style="color: rgb(171, 227, 56);">object</span><span>
</span><span>        </span><span style="color: rgb(171, 227, 56);">project</span><span> = </span><span style="color: rgb(171, 227, 56);">new</span><span> </span><span style="color: rgb(171, 227, 56);">Project</span><span>(</span><span style="color: rgb(171, 227, 56);">name, </span><span style="color: rgb(171, 227, 56);">description</span><span>)
</span>
<span>        // </span><span style="color: rgb(171, 227, 56);">Save</span><span> </span><span style="color: rgb(171, 227, 56);">the</span><span> </span><span style="color: rgb(171, 227, 56);">project</span><span> </span><span style="color: rgb(171, 227, 56);">to</span><span> </span><span style="color: rgb(171, 227, 56);">the</span><span> </span><span style="color: rgb(171, 227, 56);">database</span><span>
</span><span>        </span><span style="color: rgb(171, 227, 56);">projectId</span><span> = </span><span style="color: rgb(171, 227, 56);">database</span><span>.</span><span style="color: rgb(171, 227, 56);">saveProject</span><span>(</span><span style="color: rgb(171, 227, 56);">project</span><span>)
</span>
<span>        // </span><span style="color: rgb(171, 227, 56);">Return</span><span> </span><span style="color: rgb(171, 227, 56);">the</span><span> </span><span style="color: rgb(171, 227, 56);">created</span><span> </span><span style="color: rgb(171, 227, 56);">project</span><span> </span><span style="color: rgb(171, 227, 56);">with</span><span> </span><span style="color: rgb(171, 227, 56);">its</span><span> </span><span style="color: rgb(171, 227, 56);">ID</span><span>
</span><span>        </span><span style="color: rgb(171, 227, 56);">return</span><span> </span><span style="color: rgb(171, 227, 56);">project</span><span>.</span><span style="color: rgb(171, 227, 56);">setId</span><span>(</span><span style="color: rgb(171, 227, 56);">projectId</span><span>)
</span>
<span>    </span><span style="color: rgb(171, 227, 56);">def</span><span> </span><span style="color: rgb(171, 227, 56);">getProjectById</span><span>(</span><span style="color: rgb(171, 227, 56);">projectId</span><span>):
</span><span>        // </span><span style="color: rgb(171, 227, 56);">Validate</span><span> </span><span style="color: rgb(171, 227, 56);">input</span><span> </span><span style="color: rgb(171, 227, 56);">parameter</span><span>
</span><span>        </span><span style="color: rgb(171, 227, 56);">if</span><span> </span><span style="color: rgb(171, 227, 56);">projectId</span><span> </span><span style="color: rgb(171, 227, 56);">is</span><span> </span><span style="color: rgb(171, 227, 56);">invalid:
</span><span style="color: rgb(171, 227, 56);">            </span><span style="color: rgb(171, 227, 56);">throw</span><span> </span><span style="color: rgb(171, 227, 56);">InvalidInputException</span><span>("</span><span style="color: rgb(171, 227, 56);">Invalid</span><span> </span><span style="color: rgb(171, 227, 56);">project</span><span> </span><span style="color: rgb(171, 227, 56);">ID</span><span>")
</span>
<span>        // </span><span style="color: rgb(171, 227, 56);">Retrieve</span><span> </span><span style="color: rgb(171, 227, 56);">the</span><span> </span><span style="color: rgb(171, 227, 56);">project</span><span> </span><span style="color: rgb(171, 227, 56);">from</span><span> </span><span style="color: rgb(171, 227, 56);">the</span><span> </span><span style="color: rgb(171, 227, 56);">database</span><span>
</span><span>        </span><span style="color: rgb(171, 227, 56);">project</span><span> = </span><span style="color: rgb(171, 227, 56);">database</span><span>.</span><span style="color: rgb(171, 227, 56);">getProjectById</span><span>(</span><span style="color: rgb(171, 227, 56);">projectId</span><span>)
</span>
<span>        // </span><span style="color: rgb(171, 227, 56);">If</span><span> </span><span style="color: rgb(171, 227, 56);">project</span><span> </span><span style="color: rgb(171, 227, 56);">not</span><span> </span><span style="color: rgb(171, 227, 56);">found, </span><span style="color: rgb(171, 227, 56);">throw</span><span> </span><span style="color: rgb(171, 227, 56);">an</span><span> </span><span style="color: rgb(171, 227, 56);">exception</span><span>
</span><span>        </span><span style="color: rgb(171, 227, 56);">if</span><span> </span><span style="color: rgb(171, 227, 56);">project</span><span> </span><span style="color: rgb(171, 227, 56);">is</span><span> </span><span style="color: rgb(171, 227, 56);">null:
</span><span style="color: rgb(171, 227, 56);">            </span><span style="color: rgb(171, 227, 56);">throw</span><span> </span><span style="color: rgb(171, 227, 56);">ProjectNotFoundException</span><span>("</span><span style="color: rgb(171, 227, 56);">Project</span><span> </span><span style="color: rgb(171, 227, 56);">not</span><span> </span><span style="color: rgb(171, 227, 56);">found</span><span>")
</span>
<span>        // </span><span style="color: rgb(171, 227, 56);">Return</span><span> </span><span style="color: rgb(171, 227, 56);">the</span><span> </span><span style="color: rgb(171, 227, 56);">retrieved</span><span> </span><span style="color: rgb(171, 227, 56);">project</span><span>
</span><span>        </span><span style="color: rgb(171, 227, 56);">return</span><span> </span><span style="color: rgb(171, 227, 56);">project</span><span>
</span>
<span>    </span><span style="color: rgb(171, 227, 56);">def</span><span> </span><span style="color: rgb(171, 227, 56);">updateProject</span><span>(</span><span style="color: rgb(171, 227, 56);">projectId, </span><span style="color: rgb(171, 227, 56);">name</span><span style="color: rgb(171, 227, 56);">, </span><span style="color: rgb(171, 227, 56);">description</span><span>):
</span><span>        // </span><span style="color: rgb(171, 227, 56);">Validate</span><span> </span><span style="color: rgb(171, 227, 56);">input</span><span> </span><span style="color: rgb(171, 227, 56);">parameters</span><span>
</span><span>        </span><span style="color: rgb(171, 227, 56);">if</span><span> </span><span style="color: rgb(171, 227, 56);">projectId</span><span> </span><span style="color: rgb(171, 227, 56);">is</span><span> </span><span style="color: rgb(171, 227, 56);">invalid:
</span><span style="color: rgb(171, 227, 56);">            </span><span style="color: rgb(171, 227, 56);">throw</span><span> </span><span style="color: rgb(171, 227, 56);">InvalidInputException</span><span>("</span><span style="color: rgb(171, 227, 56);">Invalid</span><span> </span><span style="color: rgb(171, 227, 56);">project</span><span> </span><span style="color: rgb(171, 227, 56);">ID</span><span>")
</span>
<span>        // </span><span style="color: rgb(171, 227, 56);">Retrieve</span><span> </span><span style="color: rgb(171, 227, 56);">the</span><span> </span><span style="color: rgb(171, 227, 56);">project</span><span> </span><span style="color: rgb(171, 227, 56);">from</span><span> </span><span style="color: rgb(171, 227, 56);">the</span><span> </span><span style="color: rgb(171, 227, 56);">database</span><span>
</span><span>        </span><span style="color: rgb(171, 227, 56);">project</span><span> = </span><span style="color: rgb(171, 227, 56);">database</span><span>.</span><span style="color: rgb(171, 227, 56);">getProjectById</span><span>(</span><span style="color: rgb(171, 227, 56);">projectId</span><span>)
</span>
<span>        // </span><span style="color: rgb(171, 227, 56);">If</span><span> </span><span style="color: rgb(171, 227, 56);">project</span><span> </span><span style="color: rgb(171, 227, 56);">not</span><span> </span><span style="color: rgb(171, 227, 56);">found, </span><span style="color: rgb(171, 227, 56);">throw</span><span> </span><span style="color: rgb(171, 227, 56);">an</span><span> </span><span style="color: rgb(171, 227, 56);">exception</span><span>
</span><span>        </span><span style="color: rgb(171, 227, 56);">if</span><span> </span><span style="color: rgb(171, 227, 56);">project</span><span> </span><span style="color: rgb(171, 227, 56);">is</span><span> </span><span style="color: rgb(171, 227, 56);">null:
</span><span style="color: rgb(171, 227, 56);">            </span><span style="color: rgb(171, 227, 56);">throw</span><span> </span><span style="color: rgb(171, 227, 56);">ProjectNotFoundException</span><span>("</span><span style="color: rgb(171, 227, 56);">Project</span><span> </span><span style="color: rgb(171, 227, 56);">not</span><span> </span><span style="color: rgb(171, 227, 56);">found</span><span>")
</span>
<span>        // </span><span style="color: rgb(171, 227, 56);">Update</span><span> </span><span style="color: rgb(171, 227, 56);">the</span><span> </span><span style="color: rgb(171, 227, 56);">project</span><span> </span><span style="color: rgb(171, 227, 56);">properties</span><span>
</span><span>        </span><span style="color: rgb(171, 227, 56);">project</span><span>.</span><span style="color: rgb(171, 227, 56);">setName</span><span>(</span><span style="color: rgb(171, 227, 56);">name</span><span>)
</span><span>        </span><span style="color: rgb(171, 227, 56);">project</span><span>.</span><span style="color: rgb(171, 227, 56);">setDescription</span><span>(</span><span style="color: rgb(171, 227, 56);">description</span><span>)
</span>
<span>        // </span><span style="color: rgb(171, 227, 56);">Save</span><span> </span><span style="color: rgb(171, 227, 56);">the</span><span> </span><span style="color: rgb(171, 227, 56);">updated</span><span> </span><span style="color: rgb(171, 227, 56);">project</span><span> </span><span style="color: rgb(171, 227, 56);">to</span><span> </span><span style="color: rgb(171, 227, 56);">the</span><span> </span><span style="color: rgb(171, 227, 56);">database</span><span>
</span><span>        </span><span style="color: rgb(171, 227, 56);">database</span><span>.</span><span style="color: rgb(171, 227, 56);">updateProject</span><span>(</span><span style="color: rgb(171, 227, 56);">project</span><span>)
</span>
<span>        // </span><span style="color: rgb(171, 227, 56);">Return</span><span> </span><span style="color: rgb(171, 227, 56);">the</span><span> </span><span style="color: rgb(171, 227, 56);">updated</span><span> </span><span style="color: rgb(171, 227, 56);">project</span><span>
</span><span>        </span><span style="color: rgb(171, 227, 56);">return</span><span> </span><span style="color: rgb(171, 227, 56);">project</span><span>
</span>
<span>    </span><span style="color: rgb(171, 227, 56);">def</span><span> </span><span style="color: rgb(171, 227, 56);">deleteProject</span><span>(</span><span style="color: rgb(171, 227, 56);">projectId</span><span>):
</span><span>        // </span><span style="color: rgb(171, 227, 56);">Validate</span><span> </span><span style="color: rgb(171, 227, 56);">input</span><span> </span><span style="color: rgb(171, 227, 56);">parameter</span><span>
</span><span>        </span><span style="color: rgb(171, 227, 56);">if</span><span> </span><span style="color: rgb(171, 227, 56);">projectId</span><span> </span><span style="color: rgb(171, 227, 56);">is</span><span> </span><span style="color: rgb(171, 227, 56);">invalid:
</span><span style="color: rgb(171, 227, 56);">            </span><span style="color: rgb(171, 227, 56);">throw</span><span> </span><span style="color: rgb(171, 227, 56);">InvalidInputException</span><span>("</span><span style="color: rgb(171, 227, 56);">Invalid</span><span> </span><span style="color: rgb(171, 227, 56);">project</span><span> </span><span style="color: rgb(171, 227, 56);">ID</span><span>")
</span>
<span>        // </span><span style="color: rgb(171, 227, 56);">Retrieve</span><span> </span><span style="color: rgb(171, 227, 56);">the</span><span> </span><span style="color: rgb(171, 227, 56);">project</span><span> </span><span style="color: rgb(171, 227, 56);">from</span><span> </span><span style="color: rgb(171, 227, 56);">the</span><span> </span><span style="color: rgb(171, 227, 56);">database</span><span>
</span><span>        </span><span style="color: rgb(171, 227, 56);">project</span><span> = </span><span style="color: rgb(171, 227, 56);">database</span><span>.</span><span style="color: rgb(171, 227, 56);">getProjectById</span><span>(</span><span style="color: rgb(171, 227, 56);">projectId</span><span>)
</span>
<span>        // </span><span style="color: rgb(171, 227, 56);">If</span><span> </span><span style="color: rgb(171, 227, 56);">project</span><span> </span><span style="color: rgb(171, 227, 56);">not</span><span> </span><span style="color: rgb(171, 227, 56);">found, </span><span style="color: rgb(171, 227, 56);">throw</span><span> </span><span style="color: rgb(171, 227, 56);">an</span><span> </span><span style="color: rgb(171, 227, 56);">exception</span><span>
</span><span>        </span><span style="color: rgb(171, 227, 56);">if</span><span> </span><span style="color: rgb(171, 227, 56);">project</span><span> </span><span style="color: rgb(171, 227, 56);">is</span><span> </span><span style="color: rgb(171, 227, 56);">null:
</span><span style="color: rgb(171, 227, 56);">            </span><span style="color: rgb(171, 227, 56);">throw</span><span> </span><span style="color: rgb(171, 227, 56);">ProjectNotFoundException</span><span>("</span><span style="color: rgb(171, 227, 56);">Project</span><span> </span><span style="color: rgb(171, 227, 56);">not</span><span> </span><span style="color: rgb(171, 227, 56);">found</span><span>")
</span>
<span>        // </span><span style="color: rgb(171, 227, 56);">Delete</span><span> </span><span style="color: rgb(171, 227, 56);">the</span><span> </span><span style="color: rgb(171, 227, 56);">project</span><span> </span><span style="color: rgb(171, 227, 56);">from</span><span> </span><span style="color: rgb(171, 227, 56);">the</span><span> </span><span style="color: rgb(171, 227, 56);">database</span><span>
</span><span>        </span><span style="color: rgb(171, 227, 56);">database</span><span>.</span><span style="color: rgb(171, 227, 56);">deleteProject</span><span>(</span><span style="color: rgb(171, 227, 56);">projectId</span><span>)
</span>
<span>    </span><span style="color: rgb(171, 227, 56);">def</span><span> </span><span style="color: rgb(171, 227, 56);">listProjects</span><span>():
</span><span>        // </span><span style="color: rgb(171, 227, 56);">Retrieve</span><span> </span><span style="color: rgb(171, 227, 56);">all</span><span> </span><span style="color: rgb(171, 227, 56);">projects</span><span> </span><span style="color: rgb(171, 227, 56);">from</span><span> </span><span style="color: rgb(171, 227, 56);">the</span><span> </span><span style="color: rgb(171, 227, 56);">database</span><span>
</span><span>        </span><span style="color: rgb(171, 227, 56);">projects</span><span> = </span><span style="color: rgb(171, 227, 56);">database</span><span>.</span><span style="color: rgb(171, 227, 56);">getAllProjects</span><span>()
</span>
<span>        // </span><span style="color: rgb(171, 227, 56);">Return</span><span> </span><span style="color: rgb(171, 227, 56);">the</span><span> </span><span style="color: rgb(171, 227, 56);">list</span><span> </span><span style="color: rgb(171, 227, 56);">of</span><span> </span><span style="color: rgb(171, 227, 56);">projects</span><span>
</span><span>        </span><span style="color: rgb(171, 227, 56);">return</span><span> </span><span style="color: rgb(171, 227, 56);">projects</span><span>
</span>

In this pseudocode, the ProjectService class is responsible for handling project-related operations. It interacts with the database to perform CRUD (Create, Read, Update, Delete) operations on projects.

The ProjectService class has the following methods:

  1. createProject(name, description): Creates a new project with the provided name and description. It validates the input parameters, creates a new Project object, saves it to the database, and returns the created project with its assigned ID.

  2. getProjectById(projectId): Retrieves a project by its ID. It validates the input parameter, retrieves the project from the database, and returns the project if found. If the project is not found, it throws a ProjectNotFoundException.

  3. updateProject(projectId, name, description): Updates an existing project with the provided ID, name, and description. It validates the input parameters, retrieves the project from the database, updates its properties, saves the updated project to the database, and returns the updated project.

  4. deleteProject(projectId): Deletes a project by its ID. It validates the input parameter, retrieves the project from the database, and deletes it if found. If the project is not found, it throws a ProjectNotFoundException.

  5. listProjects(): Retrieves all projects from the database and returns them as a list.

The ProjectService class depends on a database object, which is assumed to provide the necessary methods for interacting with the database, such as saveProject(), getProjectById(), updateProject(), deleteProject(), and getAllProjects().

Note that this is a simplified pseudocode representation and may require additional error handling, logging, and other implementation details based on the specific requirements and programming language used.

as you are python and fastapi expert, please review the design and pseudocode of project service , and implement with python and fastapi

Claude-3-Opus

Claude-3-Opus

Poe

Certainly! Let's implement the Project Service using Python and FastAPI. Here's the updated code:

python

Copy

<span style="color: rgb(220, 198, 224);">from</span><span> fastapi </span><span style="color: rgb(220, 198, 224);">import</span><span> FastAPI, HTTPException
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> pydantic </span><span style="color: rgb(220, 198, 224);">import</span><span> BaseModel
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> database </span><span style="color: rgb(220, 198, 224);">import</span><span> Database
</span>
app = FastAPI()
database = Database()

<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">Project</span><span class="hljs-class">(</span><span class="hljs-class" style="color: rgb(245, 171, 53);">BaseModel</span><span class="hljs-class">):</span><span>
</span><span>    </span><span style="color: rgb(245, 171, 53);">id</span><span>: </span><span style="color: rgb(245, 171, 53);">int</span><span> = </span><span style="color: rgb(245, 171, 53);">None</span><span>
</span><span>    name: </span><span style="color: rgb(245, 171, 53);">str</span><span>
</span><span>    description: </span><span style="color: rgb(245, 171, 53);">str</span><span> = </span><span style="color: rgb(245, 171, 53);">None</span><span>
</span>
<span></span><span style="color: rgb(245, 171, 53);">@app.post(</span><span style="color: rgb(171, 227, 56);">"/projects"</span><span style="color: rgb(245, 171, 53);">, response_model=Project, status_code=</span><span style="color: rgb(245, 171, 53);">201</span><span style="color: rgb(245, 171, 53);">)</span><span>
</span><span></span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">create_project</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">project: Project</span><span class="hljs-function">):</span><span>
</span><span>    </span><span style="color: rgb(220, 198, 224);">if</span><span> </span><span style="color: rgb(220, 198, 224);">not</span><span> project.name:
</span><span>        </span><span style="color: rgb(220, 198, 224);">raise</span><span> HTTPException(status_code=</span><span style="color: rgb(245, 171, 53);">400</span><span>, detail=</span><span style="color: rgb(171, 227, 56);">"Project name cannot be empty"</span><span>)
</span>
    project_id = database.save_project(project)
<span>    project.</span><span style="color: rgb(245, 171, 53);">id</span><span> = project_id
</span><span>    </span><span style="color: rgb(220, 198, 224);">return</span><span> project
</span>
<span></span><span style="color: rgb(245, 171, 53);">@app.get(</span><span style="color: rgb(171, 227, 56);">"/projects/{project_id}"</span><span style="color: rgb(245, 171, 53);">, response_model=Project</span><span style="color: rgb(245, 171, 53);">)</span><span>
</span><span></span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">get_project_by_id</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">project_id: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">int</span><span class="hljs-function">):</span><span>
</span>    project = database.get_project_by_id(project_id)
<span>    </span><span style="color: rgb(220, 198, 224);">if</span><span> </span><span style="color: rgb(220, 198, 224);">not</span><span> project:
</span><span>        </span><span style="color: rgb(220, 198, 224);">raise</span><span> HTTPException(status_code=</span><span style="color: rgb(245, 171, 53);">404</span><span>, detail=</span><span style="color: rgb(171, 227, 56);">"Project not found"</span><span>)
</span><span>    </span><span style="color: rgb(220, 198, 224);">return</span><span> project
</span>
<span></span><span style="color: rgb(245, 171, 53);">@app.put(</span><span style="color: rgb(171, 227, 56);">"/projects/{project_id}"</span><span style="color: rgb(245, 171, 53);">, response_model=Project</span><span style="color: rgb(245, 171, 53);">)</span><span>
</span><span></span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">update_project</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">project_id: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">int</span><span class="hljs-function" style="color: rgb(245, 171, 53);">, project: Project</span><span class="hljs-function">):</span><span>
</span>    existing_project = database.get_project_by_id(project_id)
<span>    </span><span style="color: rgb(220, 198, 224);">if</span><span> </span><span style="color: rgb(220, 198, 224);">not</span><span> existing_project:
</span><span>        </span><span style="color: rgb(220, 198, 224);">raise</span><span> HTTPException(status_code=</span><span style="color: rgb(245, 171, 53);">404</span><span>, detail=</span><span style="color: rgb(171, 227, 56);">"Project not found"</span><span>)
</span>
<span>    project.</span><span style="color: rgb(245, 171, 53);">id</span><span> = project_id
</span>    database.update_project(project)
<span>    </span><span style="color: rgb(220, 198, 224);">return</span><span> project
</span>
<span></span><span style="color: rgb(245, 171, 53);">@app.delete(</span><span style="color: rgb(171, 227, 56);">"/projects/{project_id}"</span><span style="color: rgb(245, 171, 53);">, status_code=</span><span style="color: rgb(245, 171, 53);">204</span><span style="color: rgb(245, 171, 53);">)</span><span>
</span><span></span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">delete_project</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">project_id: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">int</span><span class="hljs-function">):</span><span>
</span>    project = database.get_project_by_id(project_id)
<span>    </span><span style="color: rgb(220, 198, 224);">if</span><span> </span><span style="color: rgb(220, 198, 224);">not</span><span> project:
</span><span>        </span><span style="color: rgb(220, 198, 224);">raise</span><span> HTTPException(status_code=</span><span style="color: rgb(245, 171, 53);">404</span><span>, detail=</span><span style="color: rgb(171, 227, 56);">"Project not found"</span><span>)
</span>
    database.delete_project(project_id)

<span></span><span style="color: rgb(245, 171, 53);">@app.get(</span><span style="color: rgb(171, 227, 56);">"/projects"</span><span style="color: rgb(245, 171, 53);">, response_model=</span><span style="color: rgb(245, 171, 53);">list</span><span style="color: rgb(245, 171, 53);">[Project]</span><span style="color: rgb(245, 171, 53);">)</span><span>
</span><span></span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">list_projects</span><span class="hljs-function">():</span><span>
</span>    projects = database.get_all_projects()
<span>    </span><span style="color: rgb(220, 198, 224);">return</span><span> projects
</span>

In this implementation:

  1. We import the necessary modules: FastAPI for creating the API, HTTPException for handling exceptions, BaseModel from Pydantic for data validation, and a hypothetical Database class for interacting with the database.

  2. We create an instance of FastAPI called app and an instance of Database called database.

  3. We define a Project model using Pydantic's BaseModel. It has three fields: id (optional), name (required), and description (optional).

  4. We define the API endpoints using FastAPI's decorators:

    • @app.post("/projects", response_model=Project, status_code=201): Creates a new project. It expects a Project object in the request body, validates it, saves it to the database, and returns the created project with its assigned ID. If the project name is empty, it raises an HTTPException with a 400 status code.
    • @app.get("/projects/{project_id}", response_model=Project): Retrieves a project by its ID. It expects the project_id as a path parameter, retrieves the project from the database, and returns it. If the project is not found, it raises an HTTPException with a 404 status code.
    • @app.put("/projects/{project_id}", response_model=Project): Updates an existing project. It expects the project_id as a path parameter and a Project object in the request body. It retrieves the existing project from the database, updates its properties, saves the updated project, and returns it. If the project is not found, it raises an HTTPException with a 404 status code.
    • @app.delete("/projects/{project_id}", status_code=204): Deletes a project by its ID. It expects the project_id as a path parameter, retrieves the project from the database, and deletes it. If the project is not found, it raises an HTTPException with a 404 status code.
    • @app.get("/projects", response_model=list[Project]): Retrieves all projects from the database and returns them as a list of Project objects.

Note that this implementation assumes the existence of a Database class with methods like save_project(), get_project_by_id(), update_project(), delete_project(), and get_all_projects(). You would need to implement these methods based on your chosen database and database library (e.g., SQLAlchemy, PostgreSQL).

Also, make sure to handle any additional error cases, implement proper authentication and authorization if required, and follow best practices for API development and security.

Remember to install the necessary dependencies (fastapi, pydantic) and run the FastAPI application using an ASGI server like Uvicorn.

please suggest the py file name

Claude-3-Opus

Claude-3-Opus

Poe

For the Project Service implementation using Python and FastAPI, you can name the file project_service.py. This name clearly indicates that the file contains the implementation of the Project Service.

Here's a suggested file structure:

Copy

<span>project_service/
</span><span>├── database</span><span style="color: rgb(255, 160, 122);">.py</span><span>
</span><span>├── project_service</span><span style="color: rgb(255, 160, 122);">.py</span><span>
</span>└── ...
  • project_service/: This directory serves as the root directory for the Project Service.
  • database.py: This file contains the implementation of the Database class, which handles the interaction with the database.
  • project_service.py: This file contains the implementation of the Project Service using FastAPI, as shown in the previous code example.

You can organize your code files and directories based on your project's structure and requirements. It's important to choose meaningful and descriptive names for files and directories to enhance code readability and maintainability.

Remember to also include other necessary files such as requirements.txt for specifying project dependencies, configuration files, and any additional utility or helper modules related to the Project Service.

please also implement database.py as your are python expert

Claude-3-Opus

Claude-3-Opus

Poe

Certainly! Here's an example implementation of the database.py file using SQLAlchemy as the database library:

python

Copy

<span style="color: rgb(220, 198, 224);">from</span><span> sqlalchemy </span><span style="color: rgb(220, 198, 224);">import</span><span> create_engine, Column, Integer, String
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> sqlalchemy.ext.declarative </span><span style="color: rgb(220, 198, 224);">import</span><span> declarative_base
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> sqlalchemy.orm </span><span style="color: rgb(220, 198, 224);">import</span><span> sessionmaker
</span>
<span></span><span style="color: rgb(212, 208, 171);"># Create a SQLAlchemy engine</span><span>
</span><span>engine = create_engine(</span><span style="color: rgb(171, 227, 56);">"sqlite:///projects.db"</span><span>)
</span>
<span></span><span style="color: rgb(212, 208, 171);"># Create a declarative base</span><span>
</span>Base = declarative_base()

<span></span><span style="color: rgb(212, 208, 171);"># Define the Project model</span><span>
</span><span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">ProjectModel</span><span class="hljs-class">(</span><span class="hljs-class" style="color: rgb(245, 171, 53);">Base</span><span class="hljs-class">):</span><span>
</span><span>    __tablename__ = </span><span style="color: rgb(171, 227, 56);">"projects"</span><span>
</span>
<span>    </span><span style="color: rgb(245, 171, 53);">id</span><span> = Column(Integer, primary_key=</span><span style="color: rgb(245, 171, 53);">True</span><span>, index=</span><span style="color: rgb(245, 171, 53);">True</span><span>)
</span><span>    name = Column(String, nullable=</span><span style="color: rgb(245, 171, 53);">False</span><span>)
</span>    description = Column(String)

<span></span><span style="color: rgb(212, 208, 171);"># Create the database tables</span><span>
</span>Base.metadata.create_all(bind=engine)

<span></span><span style="color: rgb(212, 208, 171);"># Create a session factory</span><span>
</span><span>SessionLocal = sessionmaker(autocommit=</span><span style="color: rgb(245, 171, 53);">False</span><span>, autoflush=</span><span style="color: rgb(245, 171, 53);">False</span><span>, bind=engine)
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">Database</span><span class="hljs-class">:</span><span>
</span><span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">__init__</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">self</span><span class="hljs-function">):</span><span>
</span>        self.session = SessionLocal()

<span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">save_project</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">self, project</span><span class="hljs-function">):</span><span>
</span>        db_project = ProjectModel(name=project.name, description=project.description)
        self.session.add(db_project)
        self.session.commit()
        self.session.refresh(db_project)
<span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> db_project.</span><span style="color: rgb(245, 171, 53);">id</span><span>
</span>
<span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">get_project_by_id</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">self, project_id</span><span class="hljs-function">):</span><span>
</span><span>        db_project = self.session.query(ProjectModel).</span><span style="color: rgb(245, 171, 53);">filter</span><span>(ProjectModel.</span><span style="color: rgb(245, 171, 53);">id</span><span> == project_id).first()
</span><span>        </span><span style="color: rgb(220, 198, 224);">if</span><span> db_project:
</span><span>            </span><span style="color: rgb(220, 198, 224);">return</span><span> {</span><span style="color: rgb(171, 227, 56);">"id"</span><span>: db_project.</span><span style="color: rgb(245, 171, 53);">id</span><span>, </span><span style="color: rgb(171, 227, 56);">"name"</span><span>: db_project.name, </span><span style="color: rgb(171, 227, 56);">"description"</span><span>: db_project.description}
</span><span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> </span><span style="color: rgb(245, 171, 53);">None</span><span>
</span>
<span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">update_project</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">self, project</span><span class="hljs-function">):</span><span>
</span><span>        db_project = self.session.query(ProjectModel).</span><span style="color: rgb(245, 171, 53);">filter</span><span>(ProjectModel.</span><span style="color: rgb(245, 171, 53);">id</span><span> == project.</span><span style="color: rgb(245, 171, 53);">id</span><span>).first()
</span><span>        </span><span style="color: rgb(220, 198, 224);">if</span><span> db_project:
</span>            db_project.name = project.name
            db_project.description = project.description
            self.session.commit()

<span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">delete_project</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">self, project_id</span><span class="hljs-function">):</span><span>
</span><span>        db_project = self.session.query(ProjectModel).</span><span style="color: rgb(245, 171, 53);">filter</span><span>(ProjectModel.</span><span style="color: rgb(245, 171, 53);">id</span><span> == project_id).first()
</span><span>        </span><span style="color: rgb(220, 198, 224);">if</span><span> db_project:
</span>            self.session.delete(db_project)
            self.session.commit()

<span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">get_all_projects</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">self</span><span class="hljs-function">):</span><span>
</span><span>        db_projects = self.session.query(ProjectModel).</span><span style="color: rgb(245, 171, 53);">all</span><span>()
</span>        projects = []
<span>        </span><span style="color: rgb(220, 198, 224);">for</span><span> db_project </span><span style="color: rgb(220, 198, 224);">in</span><span> db_projects:
</span><span>            projects.append({</span><span style="color: rgb(171, 227, 56);">"id"</span><span>: db_project.</span><span style="color: rgb(245, 171, 53);">id</span><span>, </span><span style="color: rgb(171, 227, 56);">"name"</span><span>: db_project.name, </span><span style="color: rgb(171, 227, 56);">"description"</span><span>: db_project.description})
</span><span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> projects
</span>

In this implementation:

  1. We import the necessary modules from SQLAlchemy: create_engine for creating the database engine, Column and data types for defining the database model, declarative_base for creating a declarative base class, and sessionmaker for creating a session factory.

  2. We create a SQLAlchemy engine using create_engine() and specify the connection URL for the database. In this example, we use SQLite and store the database in a file named projects.db.

  3. We create a declarative base using declarative_base(), which serves as a base class for our database models.

  4. We define the ProjectModel class, which represents the projects table in the database. It has three columns: id (primary key), name (non-nullable), and description (nullable).

  5. We create the database tables by calling Base.metadata.create_all(bind=engine).

  6. We create a session factory using sessionmaker and bind it to the engine.

  7. We define the Database class, which provides methods for interacting with the database:

    • save_project(): Saves a new project to the database and returns the assigned project ID.
    • get_project_by_id(): Retrieves a project from the database by its ID and returns it as a dictionary.
    • update_project(): Updates an existing project in the database.
    • delete_project(): Deletes a project from the database by its ID.
    • get_all_projects(): Retrieves all projects from the database and returns them as a list of dictionaries.

Note that this implementation uses SQLite as the database for simplicity. You can modify the connection URL and database configuration based on your specific requirements and chosen database system.

Remember to install the necessary dependencies (sqlalchemy) and ensure that the database.py file is in the same directory as the project_service.py file.

Also, make sure to handle any additional error cases, implement proper database transaction management, and consider security aspects such as input validation and parameterized queries to prevent SQL injection vulnerabilities.

if we use PostgreSQL, any update for above code

Claude-3-Opus

Claude-3-Opus

Poe

Certainly! If you want to use PostgreSQL instead of SQLite, you'll need to make a few changes to the database.py file. Here's the updated code:

python

Copy

<span style="color: rgb(220, 198, 224);">from</span><span> sqlalchemy </span><span style="color: rgb(220, 198, 224);">import</span><span> create_engine, Column, Integer, String
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> sqlalchemy.ext.declarative </span><span style="color: rgb(220, 198, 224);">import</span><span> declarative_base
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> sqlalchemy.orm </span><span style="color: rgb(220, 198, 224);">import</span><span> sessionmaker
</span>
<span></span><span style="color: rgb(212, 208, 171);"># Create a SQLAlchemy engine</span><span>
</span><span>engine = create_engine(</span><span style="color: rgb(171, 227, 56);">"postgresql://username:password@host:port/database"</span><span>)
</span>
<span></span><span style="color: rgb(212, 208, 171);"># Create a declarative base</span><span>
</span>Base = declarative_base()

<span></span><span style="color: rgb(212, 208, 171);"># Define the Project model</span><span>
</span><span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">ProjectModel</span><span class="hljs-class">(</span><span class="hljs-class" style="color: rgb(245, 171, 53);">Base</span><span class="hljs-class">):</span><span>
</span><span>    __tablename__ = </span><span style="color: rgb(171, 227, 56);">"projects"</span><span>
</span>
<span>    </span><span style="color: rgb(245, 171, 53);">id</span><span> = Column(Integer, primary_key=</span><span style="color: rgb(245, 171, 53);">True</span><span>, index=</span><span style="color: rgb(245, 171, 53);">True</span><span>)
</span><span>    name = Column(String, nullable=</span><span style="color: rgb(245, 171, 53);">False</span><span>)
</span>    description = Column(String)

<span></span><span style="color: rgb(212, 208, 171);"># Create the database tables</span><span>
</span>Base.metadata.create_all(bind=engine)

<span></span><span style="color: rgb(212, 208, 171);"># Create a session factory</span><span>
</span><span>SessionLocal = sessionmaker(autocommit=</span><span style="color: rgb(245, 171, 53);">False</span><span>, autoflush=</span><span style="color: rgb(245, 171, 53);">False</span><span>, bind=engine)
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">Database</span><span class="hljs-class">:</span><span>
</span><span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">__init__</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">self</span><span class="hljs-function">):</span><span>
</span>        self.session = SessionLocal()

<span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">save_project</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">self, project</span><span class="hljs-function">):</span><span>
</span>        db_project = ProjectModel(name=project.name, description=project.description)
        self.session.add(db_project)
        self.session.commit()
        self.session.refresh(db_project)
<span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> db_project.</span><span style="color: rgb(245, 171, 53);">id</span><span>
</span>
<span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">get_project_by_id</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">self, project_id</span><span class="hljs-function">):</span><span>
</span><span>        db_project = self.session.query(ProjectModel).</span><span style="color: rgb(245, 171, 53);">filter</span><span>(ProjectModel.</span><span style="color: rgb(245, 171, 53);">id</span><span> == project_id).first()
</span><span>        </span><span style="color: rgb(220, 198, 224);">if</span><span> db_project:
</span><span>            </span><span style="color: rgb(220, 198, 224);">return</span><span> {</span><span style="color: rgb(171, 227, 56);">"id"</span><span>: db_project.</span><span style="color: rgb(245, 171, 53);">id</span><span>, </span><span style="color: rgb(171, 227, 56);">"name"</span><span>: db_project.name, </span><span style="color: rgb(171, 227, 56);">"description"</span><span>: db_project.description}
</span><span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> </span><span style="color: rgb(245, 171, 53);">None</span><span>
</span>
<span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">update_project</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">self, project</span><span class="hljs-function">):</span><span>
</span><span>        db_project = self.session.query(ProjectModel).</span><span style="color: rgb(245, 171, 53);">filter</span><span>(ProjectModel.</span><span style="color: rgb(245, 171, 53);">id</span><span> == project.</span><span style="color: rgb(245, 171, 53);">id</span><span>).first()
</span><span>        </span><span style="color: rgb(220, 198, 224);">if</span><span> db_project:
</span>            db_project.name = project.name
            db_project.description = project.description
            self.session.commit()

<span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">delete_project</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">self, project_id</span><span class="hljs-function">):</span><span>
</span><span>        db_project = self.session.query(ProjectModel).</span><span style="color: rgb(245, 171, 53);">filter</span><span>(ProjectModel.</span><span style="color: rgb(245, 171, 53);">id</span><span> == project_id).first()
</span><span>        </span><span style="color: rgb(220, 198, 224);">if</span><span> db_project:
</span>            self.session.delete(db_project)
            self.session.commit()

<span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">get_all_projects</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">self</span><span class="hljs-function">):</span><span>
</span><span>        db_projects = self.session.query(ProjectModel).</span><span style="color: rgb(245, 171, 53);">all</span><span>()
</span>        projects = []
<span>        </span><span style="color: rgb(220, 198, 224);">for</span><span> db_project </span><span style="color: rgb(220, 198, 224);">in</span><span> db_projects:
</span><span>            projects.append({</span><span style="color: rgb(171, 227, 56);">"id"</span><span>: db_project.</span><span style="color: rgb(245, 171, 53);">id</span><span>, </span><span style="color: rgb(171, 227, 56);">"name"</span><span>: db_project.name, </span><span style="color: rgb(171, 227, 56);">"description"</span><span>: db_project.description})
</span><span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> projects
</span>

The main changes in the code are:

  1. The connection URL for the SQLAlchemy engine is updated to use PostgreSQL:

    python

    Copy

    <span>engine = create_engine(</span><span style="color: rgb(171, 227, 56);">"postgresql://username:password@host:port/database"</span><span>)
</span>

    Replace username, password, host, port, and database with the appropriate values for your PostgreSQL database.

  2. The rest of the code remains the same as it is compatible with both SQLite and PostgreSQL.

To use PostgreSQL, you'll need to have a PostgreSQL server running and ensure that you have the necessary credentials and permissions to connect to the database.

Additionally, make sure to install the required dependencies for PostgreSQL support in SQLAlchemy:

Copy

<span style="color: rgb(255, 215, 0);">pip</span><span> install sqlalchemy psycopg</span><span style="color: rgb(245, 171, 53);">2</span><span>
</span>

psycopg2 is the PostgreSQL database driver for Python.

Remember to handle any additional error cases, implement proper database transaction management, and consider security aspects such as input validation and parameterized queries to prevent SQL injection vulnerabilities.

Also, make sure to update the connection URL with the appropriate values for your PostgreSQL database setup.

please provide the pseudocode of User Requirement Service:

Claude-3-Opus

Claude-3-Opus

Poe

Certainly! Here's the pseudocode for the User Requirement Service:

basic

Copy

<span>User Requi</span><span style="color: rgb(212, 208, 171);">rement Service:</span><span>
</span>
<span>Endpoint: Create User Requi</span><span style="color: rgb(212, 208, 171);">rement</span><span>
</span><span>- Receive HTTP POST request with user requi</span><span style="color: rgb(212, 208, 171);">rement data</span><span>
</span><span>- Validate the user requi</span><span style="color: rgb(212, 208, 171);">rement data</span><span>
</span><span>  - Check </span><span style="color: rgb(220, 198, 224);">if</span><span> all required fields are present
</span><span>  - Validate the </span><span style="color: rgb(220, 198, 224);">data</span><span> types </span><span style="color: rgb(220, 198, 224);">and</span><span> formats
</span><span>- </span><span style="color: rgb(220, 198, 224);">If</span><span> validation fails, </span><span style="color: rgb(220, 198, 224);">return</span><span> appropriate </span><span style="color: rgb(220, 198, 224);">error</span><span> response
</span><span>- Generate a unique identifier </span><span style="color: rgb(220, 198, 224);">for</span><span> the user requi</span><span style="color: rgb(212, 208, 171);">rement</span><span>
</span><span>- Store the user requi</span><span style="color: rgb(212, 208, 171);">rement data in the database</span><span>
</span><span>- </span><span style="color: rgb(220, 198, 224);">Return</span><span> the created user requi</span><span style="color: rgb(212, 208, 171);">rement data with HTTP status code 201</span><span>
</span>
<span>Endpoint: </span><span style="color: rgb(220, 198, 224);">Get</span><span> User Requi</span><span style="color: rgb(212, 208, 171);">rement by ID</span><span>
</span><span>- Receive HTTP </span><span style="color: rgb(220, 198, 224);">GET</span><span> request with user requi</span><span style="color: rgb(212, 208, 171);">rement ID</span><span>
</span><span>- Retrieve the user requi</span><span style="color: rgb(212, 208, 171);">rement data from the database based on the ID</span><span>
</span><span>- </span><span style="color: rgb(220, 198, 224);">If</span><span> the user requi</span><span style="color: rgb(212, 208, 171);">rement is not found, return HTTP status code 404</span><span>
</span><span>- </span><span style="color: rgb(220, 198, 224);">Return</span><span> the user requi</span><span style="color: rgb(212, 208, 171);">rement data with HTTP status code 200</span><span>
</span>
<span>Endpoint: Update User Requi</span><span style="color: rgb(212, 208, 171);">rement</span><span>
</span><span>- Receive HTTP </span><span style="color: rgb(220, 198, 224);">PUT</span><span> request with user requi</span><span style="color: rgb(212, 208, 171);">rement ID and updated data</span><span>
</span><span>- Retrieve the user requi</span><span style="color: rgb(212, 208, 171);">rement data from the database based on the ID</span><span>
</span><span>- </span><span style="color: rgb(220, 198, 224);">If</span><span> the user requi</span><span style="color: rgb(212, 208, 171);">rement is not found, return HTTP status code 404</span><span>
</span><span>- Update the user requi</span><span style="color: rgb(212, 208, 171);">rement data in the database with the provided data</span><span>
</span><span>- </span><span style="color: rgb(220, 198, 224);">Return</span><span> the updated user requi</span><span style="color: rgb(212, 208, 171);">rement data with HTTP status code 200</span><span>
</span>
<span>Endpoint: </span><span style="color: rgb(220, 198, 224);">Delete</span><span> User Requi</span><span style="color: rgb(212, 208, 171);">rement</span><span>
</span><span>- Receive HTTP </span><span style="color: rgb(220, 198, 224);">DELETE</span><span> request with user requi</span><span style="color: rgb(212, 208, 171);">rement ID</span><span>
</span><span>- Retrieve the user requi</span><span style="color: rgb(212, 208, 171);">rement data from the database based on the ID</span><span>
</span><span>- </span><span style="color: rgb(220, 198, 224);">If</span><span> the user requi</span><span style="color: rgb(212, 208, 171);">rement is not found, return HTTP status code 404</span><span>
</span><span>- </span><span style="color: rgb(220, 198, 224);">Delete</span><span> the user requi</span><span style="color: rgb(212, 208, 171);">rement data from the database</span><span>
</span><span>- </span><span style="color: rgb(220, 198, 224);">Return</span><span> HTTP status code </span><span style="color: rgb(245, 171, 53);">204</span><span> (No Content)
</span>
<span>Endpoint: </span><span style="color: rgb(220, 198, 224);">List</span><span> User Requi</span><span style="color: rgb(212, 208, 171);">rements</span><span>
</span><span>- Receive HTTP </span><span style="color: rgb(220, 198, 224);">GET</span><span> request
</span><span>- Retrieve all user requi</span><span style="color: rgb(212, 208, 171);">rement data from the database</span><span>
</span><span>- </span><span style="color: rgb(220, 198, 224);">Return</span><span> the </span><span style="color: rgb(220, 198, 224);">list</span><span> of user requi</span><span style="color: rgb(212, 208, 171);">rement data with HTTP status code 200</span><span>
</span>
<span>Endpoint: Search User Requi</span><span style="color: rgb(212, 208, 171);">rements</span><span>
</span><span>- Receive HTTP </span><span style="color: rgb(220, 198, 224);">GET</span><span> request with search criteria (e.g., title, description)
</span><span>- Retrieve user requi</span><span style="color: rgb(212, 208, 171);">rement data from the database based on the search criteria</span><span>
</span><span>- </span><span style="color: rgb(220, 198, 224);">Return</span><span> the </span><span style="color: rgb(220, 198, 224);">list</span><span> of matching user requi</span><span style="color: rgb(212, 208, 171);">rement data with HTTP status code 200</span><span>
</span>
Database Interaction:
<span>- Implement database operations </span><span style="color: rgb(220, 198, 224);">for</span><span> user requi</span><span style="color: rgb(212, 208, 171);">rements (CRUD)</span><span>
</span><span>  - Create: Insert a </span><span style="color: rgb(220, 198, 224);">new</span><span> user requi</span><span style="color: rgb(212, 208, 171);">rement into the database</span><span>
</span><span>  - </span><span style="color: rgb(220, 198, 224);">Read</span><span>: Retrieve user requi</span><span style="color: rgb(212, 208, 171);">rement(s) from the database based on criteria</span><span>
</span><span>  - Update: Modify an existing user requi</span><span style="color: rgb(212, 208, 171);">rement in the database</span><span>
</span><span>  - </span><span style="color: rgb(220, 198, 224);">Delete</span><span>: </span><span style="color: rgb(212, 208, 171);">Remove a user requirement from the database</span><span>
</span>
<span></span><span style="color: rgb(220, 198, 224);">Error</span><span> Handling:
</span><span>- Implement appropriate </span><span style="color: rgb(220, 198, 224);">error</span><span> handling </span><span style="color: rgb(220, 198, 224);">for</span><span> each endpoint
</span><span>- </span><span style="color: rgb(220, 198, 224);">Return</span><span> meaningful </span><span style="color: rgb(220, 198, 224);">error</span><span> responses with appropriate HTTP status codes
</span><span>  - </span><span style="color: rgb(245, 171, 53);">400</span><span> Bad Request: Invalid request </span><span style="color: rgb(220, 198, 224);">data</span><span> </span><span style="color: rgb(220, 198, 224);">or</span><span> parameters
</span><span>  - </span><span style="color: rgb(245, 171, 53);">404</span><span> </span><span style="color: rgb(220, 198, 224);">Not</span><span> Found: User requi</span><span style="color: rgb(212, 208, 171);">rement not found</span><span>
</span><span>  - </span><span style="color: rgb(245, 171, 53);">500</span><span> Internal Server </span><span style="color: rgb(220, 198, 224);">Error</span><span>: Unexpected server </span><span style="color: rgb(220, 198, 224);">error</span><span>
</span>
Validation:
<span>- Implement </span><span style="color: rgb(220, 198, 224);">data</span><span> validation </span><span style="color: rgb(220, 198, 224);">for</span><span> user requi</span><span style="color: rgb(212, 208, 171);">rement creation and update</span><span>
</span><span>- Validate required fields, </span><span style="color: rgb(220, 198, 224);">data</span><span> types, </span><span style="color: rgb(220, 198, 224);">and</span><span> formats
</span><span>- </span><span style="color: rgb(220, 198, 224);">Return</span><span> appropriate </span><span style="color: rgb(220, 198, 224);">error</span><span> responses </span><span style="color: rgb(220, 198, 224);">for</span><span> validation failures
</span>
<span>Authentication </span><span style="color: rgb(220, 198, 224);">and</span><span> Authorization (</span><span style="color: rgb(220, 198, 224);">if</span><span> applicable):
</span><span>- Implement authentication mechanism </span><span style="color: rgb(220, 198, 224);">to</span><span> secure the API endpoints
</span><span>- Verify the user</span><span style="color: rgb(212, 208, 171);">'s authentication token or credentials</span><span>
</span><span>- Implement authorization checks </span><span style="color: rgb(220, 198, 224);">to</span><span> ensure users have appropriate permissions
</span>

This pseudocode provides an overview of the User Requirement Service, including the API endpoints, database interaction, error handling, validation, and authentication/authorization considerations.

The User Requirement Service follows a RESTful API design pattern, with endpoints for creating, retrieving, updating, deleting, listing, and searching user requirements.

The service interacts with a database to perform CRUD operations on user requirement data. It includes appropriate error handling and data validation to ensure data integrity and provide meaningful error responses to clients.

If required, the service can also incorporate authentication and authorization mechanisms to secure the API endpoints and ensure that only authorized users can access and modify user requirement data.

please enhance how to handle a dependency between user requirements. with two approach, 1. update by BA manually, 2, rely on with LLM capablity

Claude-3-Opus

Claude-3-Opus

Poe

Certainly! Let's enhance the pseudocode to handle dependencies between user requirements using two approaches: manual update by a Business Analyst (BA) and leveraging Large Language Model (LLM) capabilities.

Approach 1: Manual Update by BA

basic

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<span>Endpoint: Update User Requi</span><span style="color: rgb(212, 208, 171);">rement Dependencies (Manual)</span><span>
</span><span>- Receive HTTP </span><span style="color: rgb(220, 198, 224);">PUT</span><span> request with user requi</span><span style="color: rgb(212, 208, 171);">rement ID and updated dependency data</span><span>
</span><span>- Retrieve the user requi</span><span style="color: rgb(212, 208, 171);">rement data from the database based on the ID</span><span>
</span><span>- </span><span style="color: rgb(220, 198, 224);">If</span><span> the user requi</span><span style="color: rgb(212, 208, 171);">rement is not found, return HTTP status code 404</span><span>
</span><span>- Update the user requi</span><span style="color: rgb(212, 208, 171);">rement's dependencies in the database with the provided data</span><span>
</span><span>  - Validate the dependency </span><span style="color: rgb(220, 198, 224);">data</span><span> (e.g., check </span><span style="color: rgb(220, 198, 224);">if</span><span> referenced requi</span><span style="color: rgb(212, 208, 171);">rements exist)</span><span>
</span><span>  - </span><span style="color: rgb(220, 198, 224);">If</span><span> validation fails, </span><span style="color: rgb(220, 198, 224);">return</span><span> appropriate </span><span style="color: rgb(220, 198, 224);">error</span><span> response
</span><span>- </span><span style="color: rgb(220, 198, 224);">Return</span><span> the updated user requi</span><span style="color: rgb(212, 208, 171);">rement data with HTTP status code 200</span><span>
</span>
BA Workflow:
<span>- BA identifies dependencies between user requi</span><span style="color: rgb(212, 208, 171);">rements</span><span>
</span><span>- BA manually updates the dependency information </span><span style="color: rgb(220, 198, 224);">for</span><span> each user requi</span><span style="color: rgb(212, 208, 171);">rement</span><span>
</span><span>  - Specify the IDs </span><span style="color: rgb(220, 198, 224);">or</span><span> references of the dependent user requi</span><span style="color: rgb(212, 208, 171);">rements</span><span>
</span><span>- BA submits the updated dependency </span><span style="color: rgb(220, 198, 224);">data</span><span> </span><span style="color: rgb(220, 198, 224);">to</span><span> the </span><span style="color: rgb(171, 227, 56);">"Update User Requirement Dependencies"</span><span> endpoint
</span>

In this approach, the BA manually identifies and updates the dependencies between user requirements. The BA specifies the IDs or references of the dependent user requirements and submits the updated dependency data to the "Update User Requirement Dependencies" endpoint. The service validates the dependency data and updates the user requirement's dependencies in the database accordingly.

Approach 2: Leveraging LLM Capabilities

basic

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<span>Endpoint: Analyze User Requi</span><span style="color: rgb(212, 208, 171);">rement Dependencies (LLM)</span><span>
</span><span>- Receive HTTP POST request with user requi</span><span style="color: rgb(212, 208, 171);">rement data</span><span>
</span><span>- Extract relevant information from the user requi</span><span style="color: rgb(212, 208, 171);">rement data (e.g., title, description)</span><span>
</span><span>- Utilize an LLM (e.g., GPT-</span><span style="color: rgb(245, 171, 53);">3</span><span>) </span><span style="color: rgb(220, 198, 224);">to</span><span> analyze the user requi</span><span style="color: rgb(212, 208, 171);">rement text</span><span>
</span><span>  - Provide the user requi</span><span style="color: rgb(212, 208, 171);">rement text as input to the LLM</span><span>
</span><span>  - Prompt the LLM </span><span style="color: rgb(220, 198, 224);">to</span><span> identify potential dependencies based </span><span style="color: rgb(220, 198, 224);">on</span><span> the context
</span><span>  - Parse the LLM</span><span style="color: rgb(212, 208, 171);">'s response to extract identified dependencies</span><span>
</span><span>- Retrieve the related user requi</span><span style="color: rgb(212, 208, 171);">rements from the database based on the identified dependencies</span><span>
</span>- Validate the identified dependencies
<span>  - Check </span><span style="color: rgb(220, 198, 224);">if</span><span> the referenced user requi</span><span style="color: rgb(212, 208, 171);">rements exist</span><span>
</span><span>  - Assess the relevance </span><span style="color: rgb(220, 198, 224);">and</span><span> accuracy of the identified dependencies
</span><span>- Update the user requi</span><span style="color: rgb(212, 208, 171);">rement's dependencies in the database with the validated dependencies</span><span>
</span><span>- </span><span style="color: rgb(220, 198, 224);">Return</span><span> the updated user requi</span><span style="color: rgb(212, 208, 171);">rement data with the identified dependencies and HTTP status code 200</span><span>
</span>
LLM Dependency Analysis:
<span>- Implement an interface </span><span style="color: rgb(220, 198, 224);">to</span><span> interact with the LLM (e.g., GPT-</span><span style="color: rgb(245, 171, 53);">3</span><span> API)
</span><span>- Develop prompts </span><span style="color: rgb(220, 198, 224);">and</span><span> instructions </span><span style="color: rgb(220, 198, 224);">for</span><span> the LLM </span><span style="color: rgb(220, 198, 224);">to</span><span> identify dependencies based </span><span style="color: rgb(220, 198, 224);">on</span><span> user requi</span><span style="color: rgb(212, 208, 171);">rement text</span><span>
</span><span>- Process the LLM</span><span style="color: rgb(212, 208, 171);">'s response to extract identified dependencies</span><span>
</span><span>- Validate </span><span style="color: rgb(220, 198, 224);">and</span><span> filter the identified dependencies based </span><span style="color: rgb(220, 198, 224);">on</span><span> relevance </span><span style="color: rgb(220, 198, 224);">and</span><span> accuracy
</span>

In this approach, the service leverages the capabilities of an LLM, such as GPT-3, to automatically analyze user requirement text and identify potential dependencies. The user requirement data is sent to the "Analyze User Requirement Dependencies" endpoint, which extracts relevant information and provides it as input to the LLM.

The LLM is prompted to analyze the user requirement text and identify potential dependencies based on the context. The service then parses the LLM's response to extract the identified dependencies. It retrieves the related user requirements from the database and validates the identified dependencies for relevance and accuracy.

After validation, the service updates the user requirement's dependencies in the database with the validated dependencies and returns the updated user requirement data along with the identified dependencies.

Note that the effectiveness of the LLM approach depends on the quality and breadth of the LLM's training data, as well as the specificity and clarity of the user requirement text. It may require fine-tuning and iteration to achieve accurate dependency identification.

Both approaches aim to handle dependencies between user requirements, either through manual updates by a BA or by leveraging LLM capabilities for automated dependency analysis. The choice between the two approaches depends on the specific needs, resources, and feasibility within the project context.

as you are python and fastapi expert, please review the design and pseudocode of project service , and implement with python and fastapi. first suggest py file structure, the implement one by one. for handle dependencies with LLM, try to use langchain

Claude-3-Opus

Claude-3-Opus

Poe

Certainly! Let's start by suggesting a file structure for the Project Service implementation using Python and FastAPI. Then, we'll proceed with the implementation of each component.

Suggested File Structure:

stylus

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<span>project_service/
</span>├── api/
<span>│   ├── __init__</span><span style="color: rgb(255, 160, 122);">.py</span><span>
</span><span>│   ├── dependencies</span><span style="color: rgb(255, 160, 122);">.py</span><span>
</span>│   └── routes/
<span>│       ├── __init__</span><span style="color: rgb(255, 160, 122);">.py</span><span>
</span><span>│       └── projects</span><span style="color: rgb(255, 160, 122);">.py</span><span>
</span>├── core/
<span>│   ├── __init__</span><span style="color: rgb(255, 160, 122);">.py</span><span>
</span><span>│   ├── config</span><span style="color: rgb(255, 160, 122);">.py</span><span>
</span>│   └── models/
<span>│       ├── __init__</span><span style="color: rgb(255, 160, 122);">.py</span><span>
</span><span>│       └── project</span><span style="color: rgb(255, 160, 122);">.py</span><span>
</span>├── db/
<span>│   ├── __init__</span><span style="color: rgb(255, 160, 122);">.py</span><span>
</span><span>│   └── database</span><span style="color: rgb(255, 160, 122);">.py</span><span>
</span>├── services/
<span>│   ├── __init__</span><span style="color: rgb(255, 160, 122);">.py</span><span>
</span><span>│   ├── llm_service</span><span style="color: rgb(255, 160, 122);">.py</span><span>
</span><span>│   └── project_service</span><span style="color: rgb(255, 160, 122);">.py</span><span>
</span><span>├── </span><span style="color: rgb(220, 198, 224);">main</span><span style="color: rgb(255, 160, 122);">.py</span><span>
</span><span>└── requirements</span><span style="color: rgb(255, 160, 122);">.txt</span><span>
</span>

Now, let's implement each component:

  1. main.py:

python

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<span style="color: rgb(220, 198, 224);">from</span><span> fastapi </span><span style="color: rgb(220, 198, 224);">import</span><span> FastAPI
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> api.routes </span><span style="color: rgb(220, 198, 224);">import</span><span> projects
</span>
app = FastAPI()

app.include_router(projects.router)

<span></span><span style="color: rgb(220, 198, 224);">if</span><span> __name__ == </span><span style="color: rgb(171, 227, 56);">"__main__"</span><span>:
</span><span>    </span><span style="color: rgb(220, 198, 224);">import</span><span> uvicorn
</span><span>    uvicorn.run(app, host=</span><span style="color: rgb(171, 227, 56);">"0.0.0.0"</span><span>, port=</span><span style="color: rgb(245, 171, 53);">8000</span><span>)
</span>
  1. core/config.py:

python

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<span style="color: rgb(220, 198, 224);">from</span><span> pydantic </span><span style="color: rgb(220, 198, 224);">import</span><span> BaseSettings
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">Settings</span><span class="hljs-class">(</span><span class="hljs-class" style="color: rgb(245, 171, 53);">BaseSettings</span><span class="hljs-class">):</span><span>
</span><span>    database_url: </span><span style="color: rgb(245, 171, 53);">str</span><span> = </span><span style="color: rgb(171, 227, 56);">"sqlite:///./project_service.db"</span><span>
</span><span>    llm_api_key: </span><span style="color: rgb(245, 171, 53);">str</span><span> = </span><span style="color: rgb(171, 227, 56);">"your_llm_api_key"</span><span>
</span>
settings = Settings()
  1. core/models/project.py:

python

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<span style="color: rgb(220, 198, 224);">from</span><span> pydantic </span><span style="color: rgb(220, 198, 224);">import</span><span> BaseModel
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">ProjectBase</span><span class="hljs-class">(</span><span class="hljs-class" style="color: rgb(245, 171, 53);">BaseModel</span><span class="hljs-class">):</span><span>
</span><span>    title: </span><span style="color: rgb(245, 171, 53);">str</span><span>
</span><span>    description: </span><span style="color: rgb(245, 171, 53);">str</span><span>
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">ProjectCreate</span><span class="hljs-class">(</span><span class="hljs-class" style="color: rgb(245, 171, 53);">ProjectBase</span><span class="hljs-class">):</span><span>
</span><span>    </span><span style="color: rgb(220, 198, 224);">pass</span><span>
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">ProjectUpdate</span><span class="hljs-class">(</span><span class="hljs-class" style="color: rgb(245, 171, 53);">ProjectBase</span><span class="hljs-class">):</span><span>
</span><span>    </span><span style="color: rgb(220, 198, 224);">pass</span><span>
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">Project</span><span class="hljs-class">(</span><span class="hljs-class" style="color: rgb(245, 171, 53);">ProjectBase</span><span class="hljs-class">):</span><span>
</span><span>    </span><span style="color: rgb(245, 171, 53);">id</span><span>: </span><span style="color: rgb(245, 171, 53);">int</span><span>
</span>
<span>    </span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">Config</span><span class="hljs-class">:</span><span>
</span><span>        orm_mode = </span><span style="color: rgb(245, 171, 53);">True</span><span>
</span>
  1. db/database.py:

python

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<span style="color: rgb(220, 198, 224);">from</span><span> sqlalchemy </span><span style="color: rgb(220, 198, 224);">import</span><span> create_engine
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> sqlalchemy.ext.declarative </span><span style="color: rgb(220, 198, 224);">import</span><span> declarative_base
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> sqlalchemy.orm </span><span style="color: rgb(220, 198, 224);">import</span><span> sessionmaker
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> core.config </span><span style="color: rgb(220, 198, 224);">import</span><span> settings
</span>
engine = create_engine(settings.database_url)
<span>SessionLocal = sessionmaker(autocommit=</span><span style="color: rgb(245, 171, 53);">False</span><span>, autoflush=</span><span style="color: rgb(245, 171, 53);">False</span><span>, bind=engine)
</span>
Base = declarative_base()

<span></span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">get_db</span><span class="hljs-function">():</span><span>
</span>    db = SessionLocal()
<span>    </span><span style="color: rgb(220, 198, 224);">try</span><span>:
</span><span>        </span><span style="color: rgb(220, 198, 224);">yield</span><span> db
</span><span>    </span><span style="color: rgb(220, 198, 224);">finally</span><span>:
</span>        db.close()
  1. api/dependencies.py:

python

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<span style="color: rgb(220, 198, 224);">from</span><span> db.database </span><span style="color: rgb(220, 198, 224);">import</span><span> get_db
</span>
<span></span><span style="color: rgb(212, 208, 171);"># Add any other dependencies here</span><span>
</span>
  1. api/routes/projects.py:

python

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<span style="color: rgb(220, 198, 224);">from</span><span> fastapi </span><span style="color: rgb(220, 198, 224);">import</span><span> APIRouter, Depends, HTTPException
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> sqlalchemy.orm </span><span style="color: rgb(220, 198, 224);">import</span><span> Session
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> typing </span><span style="color: rgb(220, 198, 224);">import</span><span> </span><span style="color: rgb(245, 171, 53);">List</span><span>
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> core.models.project </span><span style="color: rgb(220, 198, 224);">import</span><span> ProjectCreate, ProjectUpdate, Project
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> services.project_service </span><span style="color: rgb(220, 198, 224);">import</span><span> ProjectService
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> api.dependencies </span><span style="color: rgb(220, 198, 224);">import</span><span> get_db
</span>
<span>router = APIRouter(prefix=</span><span style="color: rgb(171, 227, 56);">"/projects"</span><span>, tags=[</span><span style="color: rgb(171, 227, 56);">"projects"</span><span>])
</span>
<span></span><span style="color: rgb(245, 171, 53);">@router.post(</span><span style="color: rgb(171, 227, 56);">"/"</span><span style="color: rgb(245, 171, 53);">, response_model=Project, status_code=</span><span style="color: rgb(245, 171, 53);">201</span><span style="color: rgb(245, 171, 53);">)</span><span>
</span><span></span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">create_project</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">project: ProjectCreate, db: Session = Depends(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">get_db</span><span class="hljs-function" style="color: rgb(245, 171, 53);">)</span><span class="hljs-function">):</span><span>
</span><span>    </span><span style="color: rgb(220, 198, 224);">return</span><span> ProjectService.create_project(db=db, project=project)
</span>
<span></span><span style="color: rgb(245, 171, 53);">@router.get(</span><span style="color: rgb(171, 227, 56);">"/{project_id}"</span><span style="color: rgb(245, 171, 53);">, response_model=Project</span><span style="color: rgb(245, 171, 53);">)</span><span>
</span><span></span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">get_project</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">project_id: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">int</span><span class="hljs-function" style="color: rgb(245, 171, 53);">, db: Session = Depends(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">get_db</span><span class="hljs-function" style="color: rgb(245, 171, 53);">)</span><span class="hljs-function">):</span><span>
</span>    project = ProjectService.get_project(db=db, project_id=project_id)
<span>    </span><span style="color: rgb(220, 198, 224);">if</span><span> </span><span style="color: rgb(220, 198, 224);">not</span><span> project:
</span><span>        </span><span style="color: rgb(220, 198, 224);">raise</span><span> HTTPException(status_code=</span><span style="color: rgb(245, 171, 53);">404</span><span>, detail=</span><span style="color: rgb(171, 227, 56);">"Project not found"</span><span>)
</span><span>    </span><span style="color: rgb(220, 198, 224);">return</span><span> project
</span>
<span></span><span style="color: rgb(245, 171, 53);">@router.put(</span><span style="color: rgb(171, 227, 56);">"/{project_id}"</span><span style="color: rgb(245, 171, 53);">, response_model=Project</span><span style="color: rgb(245, 171, 53);">)</span><span>
</span><span></span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">update_project</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">project_id: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">int</span><span class="hljs-function" style="color: rgb(245, 171, 53);">, project: ProjectUpdate, db: Session = Depends(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">get_db</span><span class="hljs-function" style="color: rgb(245, 171, 53);">)</span><span class="hljs-function">):</span><span>
</span>    updated_project = ProjectService.update_project(db=db, project_id=project_id, project=project)
<span>    </span><span style="color: rgb(220, 198, 224);">if</span><span> </span><span style="color: rgb(220, 198, 224);">not</span><span> updated_project:
</span><span>        </span><span style="color: rgb(220, 198, 224);">raise</span><span> HTTPException(status_code=</span><span style="color: rgb(245, 171, 53);">404</span><span>, detail=</span><span style="color: rgb(171, 227, 56);">"Project not found"</span><span>)
</span><span>    </span><span style="color: rgb(220, 198, 224);">return</span><span> updated_project
</span>
<span></span><span style="color: rgb(245, 171, 53);">@router.delete(</span><span style="color: rgb(171, 227, 56);">"/{project_id}"</span><span style="color: rgb(245, 171, 53);">, status_code=</span><span style="color: rgb(245, 171, 53);">204</span><span style="color: rgb(245, 171, 53);">)</span><span>
</span><span></span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">delete_project</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">project_id: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">int</span><span class="hljs-function" style="color: rgb(245, 171, 53);">, db: Session = Depends(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">get_db</span><span class="hljs-function" style="color: rgb(245, 171, 53);">)</span><span class="hljs-function">):</span><span>
</span>    ProjectService.delete_project(db=db, project_id=project_id)

<span></span><span style="color: rgb(245, 171, 53);">@router.get(</span><span style="color: rgb(171, 227, 56);">"/"</span><span style="color: rgb(245, 171, 53);">, response_model=</span><span style="color: rgb(245, 171, 53);">List</span><span style="color: rgb(245, 171, 53);">[Project]</span><span style="color: rgb(245, 171, 53);">)</span><span>
</span><span></span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">list_projects</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">db: Session = Depends(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">get_db</span><span class="hljs-function" style="color: rgb(245, 171, 53);">)</span><span class="hljs-function">):</span><span>
</span><span>    </span><span style="color: rgb(220, 198, 224);">return</span><span> ProjectService.list_projects(db=db)
</span>
<span></span><span style="color: rgb(245, 171, 53);">@router.post(</span><span style="color: rgb(171, 227, 56);">"/{project_id}/analyze-dependencies"</span><span style="color: rgb(245, 171, 53);">)</span><span>
</span><span></span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">analyze_project_dependencies</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">project_id: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">int</span><span class="hljs-function" style="color: rgb(245, 171, 53);">, db: Session = Depends(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">get_db</span><span class="hljs-function" style="color: rgb(245, 171, 53);">)</span><span class="hljs-function">):</span><span>
</span>    project = ProjectService.get_project(db=db, project_id=project_id)
<span>    </span><span style="color: rgb(220, 198, 224);">if</span><span> </span><span style="color: rgb(220, 198, 224);">not</span><span> project:
</span><span>        </span><span style="color: rgb(220, 198, 224);">raise</span><span> HTTPException(status_code=</span><span style="color: rgb(245, 171, 53);">404</span><span>, detail=</span><span style="color: rgb(171, 227, 56);">"Project not found"</span><span>)
</span>    dependencies = ProjectService.analyze_dependencies(project=project)
<span>    </span><span style="color: rgb(220, 198, 224);">return</span><span> {</span><span style="color: rgb(171, 227, 56);">"dependencies"</span><span>: dependencies}
</span>
  1. services/project_service.py:

python

Copy

<span style="color: rgb(220, 198, 224);">from</span><span> sqlalchemy.orm </span><span style="color: rgb(220, 198, 224);">import</span><span> Session
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> core.models.project </span><span style="color: rgb(220, 198, 224);">import</span><span> ProjectCreate, ProjectUpdate, Project
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> db.models.project </span><span style="color: rgb(220, 198, 224);">import</span><span> ProjectModel
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> services.llm_service </span><span style="color: rgb(220, 198, 224);">import</span><span> LLMService
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">ProjectService</span><span class="hljs-class">:</span><span>
</span><span></span><span style="color: rgb(245, 171, 53);">    @staticmethod</span><span>
</span><span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">create_project</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">db: Session, project: ProjectCreate</span><span class="hljs-function">):</span><span>
</span><span>        db_project = ProjectModel(**project.</span><span style="color: rgb(245, 171, 53);">dict</span><span>())
</span>        db.add(db_project)
        db.commit()
        db.refresh(db_project)
<span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> db_project
</span>
<span></span><span style="color: rgb(245, 171, 53);">    @staticmethod</span><span>
</span><span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">get_project</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">db: Session, project_id: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">int</span><span class="hljs-function">):</span><span>
</span><span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> db.query(ProjectModel).</span><span style="color: rgb(245, 171, 53);">filter</span><span>(ProjectModel.</span><span style="color: rgb(245, 171, 53);">id</span><span> == project_id).first()
</span>
<span></span><span style="color: rgb(245, 171, 53);">    @staticmethod</span><span>
</span><span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">update_project</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">db: Session, project_id: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">int</span><span class="hljs-function" style="color: rgb(245, 171, 53);">, project: ProjectUpdate</span><span class="hljs-function">):</span><span>
</span><span>        db_project = db.query(ProjectModel).</span><span style="color: rgb(245, 171, 53);">filter</span><span>(ProjectModel.</span><span style="color: rgb(245, 171, 53);">id</span><span> == project_id).first()
</span><span>        </span><span style="color: rgb(220, 198, 224);">if</span><span> </span><span style="color: rgb(220, 198, 224);">not</span><span> db_project:
</span><span>            </span><span style="color: rgb(220, 198, 224);">return</span><span> </span><span style="color: rgb(245, 171, 53);">None</span><span>
</span><span>        </span><span style="color: rgb(220, 198, 224);">for</span><span> field, value </span><span style="color: rgb(220, 198, 224);">in</span><span> project.</span><span style="color: rgb(245, 171, 53);">dict</span><span>(exclude_unset=</span><span style="color: rgb(245, 171, 53);">True</span><span>).items():
</span><span>            </span><span style="color: rgb(245, 171, 53);">setattr</span><span>(db_project, field, value)
</span>        db.commit()
        db.refresh(db_project)
<span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> db_project
</span>
<span></span><span style="color: rgb(245, 171, 53);">    @staticmethod</span><span>
</span><span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">delete_project</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">db: Session, project_id: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">int</span><span class="hljs-function">):</span><span>
</span><span>        db_project = db.query(ProjectModel).</span><span style="color: rgb(245, 171, 53);">filter</span><span>(ProjectModel.</span><span style="color: rgb(245, 171, 53);">id</span><span> == project_id).first()
</span><span>        </span><span style="color: rgb(220, 198, 224);">if</span><span> db_project:
</span>            db.delete(db_project)
            db.commit()

<span></span><span style="color: rgb(245, 171, 53);">    @staticmethod</span><span>
</span><span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">list_projects</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">db: Session</span><span class="hljs-function">):</span><span>
</span><span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> db.query(ProjectModel).</span><span style="color: rgb(245, 171, 53);">all</span><span>()
</span>
<span></span><span style="color: rgb(245, 171, 53);">    @staticmethod</span><span>
</span><span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">analyze_dependencies</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">project: Project</span><span class="hljs-function">):</span><span>
</span>        llm_service = LLMService()
        dependencies = llm_service.analyze_project_dependencies(project.title, project.description)
<span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> dependencies
</span>
  1. services/llm_service.py:

python

Copy

<span style="color: rgb(220, 198, 224);">from</span><span> langchain </span><span style="color: rgb(220, 198, 224);">import</span><span> OpenAI
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> langchain.prompts </span><span style="color: rgb(220, 198, 224);">import</span><span> PromptTemplate
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> core.config </span><span style="color: rgb(220, 198, 224);">import</span><span> settings
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">LLMService</span><span class="hljs-class">:</span><span>
</span><span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">__init__</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">self</span><span class="hljs-function">):</span><span>
</span>        self.llm = OpenAI(api_key=settings.llm_api_key)

<span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">analyze_project_dependencies</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">self, title: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">str</span><span class="hljs-function" style="color: rgb(245, 171, 53);">, description: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">str</span><span class="hljs-function">):</span><span>
</span>        prompt = PromptTemplate(
<span>            input_variables=[</span><span style="color: rgb(171, 227, 56);">"title"</span><span>, </span><span style="color: rgb(171, 227, 56);">"description"</span><span>],
</span><span>            template=</span><span style="color: rgb(171, 227, 56);">"Analyze the project with title '{title}' and description '{description}' and identify potential dependencies."</span><span>
</span>        )
<span>        response = self.llm(prompt.</span><span style="color: rgb(245, 171, 53);">format</span><span>(title=title, description=description))
</span>        dependencies = self._extract_dependencies(response)
<span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> dependencies
</span>
<span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">_extract_dependencies</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">self, response: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">str</span><span class="hljs-function">):</span><span>
</span><span>        </span><span style="color: rgb(212, 208, 171);"># Implement logic to extract dependencies from the LLM response</span><span>
</span><span>        </span><span style="color: rgb(212, 208, 171);"># This will depend on the specific format and structure of the LLM's output</span><span>
</span><span>        </span><span style="color: rgb(212, 208, 171);"># You may need to adjust this method based on your requirements</span><span>
</span><span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> []
</span>
  1. Update requirements.txt:

Copy

<span style="color: rgb(255, 215, 0);">fastapi
</span><span style="color: rgb(255, 215, 0);">uvicorn
</span><span style="color: rgb(255, 215, 0);">sqlalchemy
</span><span style="color: rgb(255, 215, 0);">pydantic
</span><span style="color: rgb(255, 215, 0);">langchain
</span><span style="color: rgb(255, 215, 0);">openai</span><span>
</span>

This implementation provides a starting point for the Project Service using Python, FastAPI, and Langchain. It includes the necessary file structure, API routes, database integration, and LLM service for analyzing project dependencies.

Note that you'll need to set up the database (e.g., SQLite) and provide the necessary environment variables (e.g., LLM_API_KEY) for the implementation to work properly. Additionally, you'll need to implement the _extract_dependencies method in the LLMService class based on the specific format and structure of the LLM's output.

Remember to handle error cases, implement proper validation, and consider security aspects as needed for your specific use case.

as you are python and fastapi expert, please review the design and pseudocode of User Requirement Service and handle dependencies of user requirment, and implement with python and fastapi. First suggest py file structure, the implement one by one. for handle dependencies with LLM approach , try to use langchain

Claude-3-Opus

Claude-3-Opus

Poe

Certainly! Let's start by suggesting a file structure for the User Requirement Service implementation using Python and FastAPI, including the handling of dependencies using Langchain. Then, we'll proceed with the implementation of each component.

Suggested File Structure:

basic

Copy

<span>user_requi</span><span style="color: rgb(212, 208, 171);">rement_service/</span><span>
</span>├── api/
│   ├── __init__.py
│   ├── dependencies.py
│   └── routes/
│       ├── __init__.py
<span>│       └── user_requi</span><span style="color: rgb(212, 208, 171);">rements.py</span><span>
</span>├── core/
│   ├── __init__.py
│   ├── config.py
│   └── models/
│       ├── __init__.py
<span>│       └── user_requi</span><span style="color: rgb(212, 208, 171);">rement.py</span><span>
</span>├── db/
│   ├── __init__.py
│   └── database.py
├── services/
│   ├── __init__.py
│   ├── llm_service.py
<span>│   └── user_requi</span><span style="color: rgb(212, 208, 171);">rement_service.py</span><span>
</span>├── main.py
<span>└── requi</span><span style="color: rgb(212, 208, 171);">rements.txt</span><span>
</span>

Now, let's implement each component:

  1. main.py:

python

Copy

<span style="color: rgb(220, 198, 224);">from</span><span> fastapi </span><span style="color: rgb(220, 198, 224);">import</span><span> FastAPI
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> api.routes </span><span style="color: rgb(220, 198, 224);">import</span><span> user_requirements
</span>
app = FastAPI()

app.include_router(user_requirements.router)

<span></span><span style="color: rgb(220, 198, 224);">if</span><span> __name__ == </span><span style="color: rgb(171, 227, 56);">"__main__"</span><span>:
</span><span>    </span><span style="color: rgb(220, 198, 224);">import</span><span> uvicorn
</span><span>    uvicorn.run(app, host=</span><span style="color: rgb(171, 227, 56);">"0.0.0.0"</span><span>, port=</span><span style="color: rgb(245, 171, 53);">8000</span><span>)
</span>
  1. core/config.py:

python

Copy

<span style="color: rgb(220, 198, 224);">from</span><span> pydantic </span><span style="color: rgb(220, 198, 224);">import</span><span> BaseSettings
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">Settings</span><span class="hljs-class">(</span><span class="hljs-class" style="color: rgb(245, 171, 53);">BaseSettings</span><span class="hljs-class">):</span><span>
</span><span>    database_url: </span><span style="color: rgb(245, 171, 53);">str</span><span> = </span><span style="color: rgb(171, 227, 56);">"sqlite:///./user_requirement_service.db"</span><span>
</span><span>    llm_api_key: </span><span style="color: rgb(245, 171, 53);">str</span><span> = </span><span style="color: rgb(171, 227, 56);">"your_llm_api_key"</span><span>
</span>
settings = Settings()
  1. core/models/user_requirement.py:

python

Copy

<span style="color: rgb(220, 198, 224);">from</span><span> pydantic </span><span style="color: rgb(220, 198, 224);">import</span><span> BaseModel
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> typing </span><span style="color: rgb(220, 198, 224);">import</span><span> </span><span style="color: rgb(245, 171, 53);">List</span><span>
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">UserRequirementBase</span><span class="hljs-class">(</span><span class="hljs-class" style="color: rgb(245, 171, 53);">BaseModel</span><span class="hljs-class">):</span><span>
</span><span>    title: </span><span style="color: rgb(245, 171, 53);">str</span><span>
</span><span>    description: </span><span style="color: rgb(245, 171, 53);">str</span><span>
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">UserRequirementCreate</span><span class="hljs-class">(</span><span class="hljs-class" style="color: rgb(245, 171, 53);">UserRequirementBase</span><span class="hljs-class">):</span><span>
</span><span>    </span><span style="color: rgb(220, 198, 224);">pass</span><span>
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">UserRequirementUpdate</span><span class="hljs-class">(</span><span class="hljs-class" style="color: rgb(245, 171, 53);">UserRequirementBase</span><span class="hljs-class">):</span><span>
</span><span>    </span><span style="color: rgb(220, 198, 224);">pass</span><span>
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">UserRequirement</span><span class="hljs-class">(</span><span class="hljs-class" style="color: rgb(245, 171, 53);">UserRequirementBase</span><span class="hljs-class">):</span><span>
</span><span>    </span><span style="color: rgb(245, 171, 53);">id</span><span>: </span><span style="color: rgb(245, 171, 53);">int</span><span>
</span><span>    dependencies: </span><span style="color: rgb(245, 171, 53);">List</span><span>[</span><span style="color: rgb(245, 171, 53);">int</span><span>] = []
</span>
<span>    </span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">Config</span><span class="hljs-class">:</span><span>
</span><span>        orm_mode = </span><span style="color: rgb(245, 171, 53);">True</span><span>
</span>
  1. db/database.py:

python

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<span style="color: rgb(220, 198, 224);">from</span><span> sqlalchemy </span><span style="color: rgb(220, 198, 224);">import</span><span> create_engine
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> sqlalchemy.ext.declarative </span><span style="color: rgb(220, 198, 224);">import</span><span> declarative_base
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> sqlalchemy.orm </span><span style="color: rgb(220, 198, 224);">import</span><span> sessionmaker
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> core.config </span><span style="color: rgb(220, 198, 224);">import</span><span> settings
</span>
engine = create_engine(settings.database_url)
<span>SessionLocal = sessionmaker(autocommit=</span><span style="color: rgb(245, 171, 53);">False</span><span>, autoflush=</span><span style="color: rgb(245, 171, 53);">False</span><span>, bind=engine)
</span>
Base = declarative_base()

<span></span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">get_db</span><span class="hljs-function">():</span><span>
</span>    db = SessionLocal()
<span>    </span><span style="color: rgb(220, 198, 224);">try</span><span>:
</span><span>        </span><span style="color: rgb(220, 198, 224);">yield</span><span> db
</span><span>    </span><span style="color: rgb(220, 198, 224);">finally</span><span>:
</span>        db.close()
  1. api/dependencies.py:

python

Copy

<span style="color: rgb(220, 198, 224);">from</span><span> db.database </span><span style="color: rgb(220, 198, 224);">import</span><span> get_db
</span>
<span></span><span style="color: rgb(212, 208, 171);"># Add any other dependencies here</span><span>
</span>
  1. api/routes/user_requirements.py:

python

Copy

<span style="color: rgb(220, 198, 224);">from</span><span> fastapi </span><span style="color: rgb(220, 198, 224);">import</span><span> APIRouter, Depends, HTTPException
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> sqlalchemy.orm </span><span style="color: rgb(220, 198, 224);">import</span><span> Session
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> typing </span><span style="color: rgb(220, 198, 224);">import</span><span> </span><span style="color: rgb(245, 171, 53);">List</span><span>
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> core.models.user_requirement </span><span style="color: rgb(220, 198, 224);">import</span><span> UserRequirementCreate, UserRequirementUpdate, UserRequirement
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> services.user_requirement_service </span><span style="color: rgb(220, 198, 224);">import</span><span> UserRequirementService
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> api.dependencies </span><span style="color: rgb(220, 198, 224);">import</span><span> get_db
</span>
<span>router = APIRouter(prefix=</span><span style="color: rgb(171, 227, 56);">"/user-requirements"</span><span>, tags=[</span><span style="color: rgb(171, 227, 56);">"user-requirements"</span><span>])
</span>
<span></span><span style="color: rgb(245, 171, 53);">@router.post(</span><span style="color: rgb(171, 227, 56);">"/"</span><span style="color: rgb(245, 171, 53);">, response_model=UserRequirement, status_code=</span><span style="color: rgb(245, 171, 53);">201</span><span style="color: rgb(245, 171, 53);">)</span><span>
</span><span></span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">create_user_requirement</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">user_requirement: UserRequirementCreate, db: Session = Depends(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">get_db</span><span class="hljs-function" style="color: rgb(245, 171, 53);">)</span><span class="hljs-function">):</span><span>
</span><span>    </span><span style="color: rgb(220, 198, 224);">return</span><span> UserRequirementService.create_user_requirement(db=db, user_requirement=user_requirement)
</span>
<span></span><span style="color: rgb(245, 171, 53);">@router.get(</span><span style="color: rgb(171, 227, 56);">"/{user_requirement_id}"</span><span style="color: rgb(245, 171, 53);">, response_model=UserRequirement</span><span style="color: rgb(245, 171, 53);">)</span><span>
</span><span></span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">get_user_requirement</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">user_requirement_id: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">int</span><span class="hljs-function" style="color: rgb(245, 171, 53);">, db: Session = Depends(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">get_db</span><span class="hljs-function" style="color: rgb(245, 171, 53);">)</span><span class="hljs-function">):</span><span>
</span>    user_requirement = UserRequirementService.get_user_requirement(db=db, user_requirement_id=user_requirement_id)
<span>    </span><span style="color: rgb(220, 198, 224);">if</span><span> </span><span style="color: rgb(220, 198, 224);">not</span><span> user_requirement:
</span><span>        </span><span style="color: rgb(220, 198, 224);">raise</span><span> HTTPException(status_code=</span><span style="color: rgb(245, 171, 53);">404</span><span>, detail=</span><span style="color: rgb(171, 227, 56);">"User Requirement not found"</span><span>)
</span><span>    </span><span style="color: rgb(220, 198, 224);">return</span><span> user_requirement
</span>
<span></span><span style="color: rgb(245, 171, 53);">@router.put(</span><span style="color: rgb(171, 227, 56);">"/{user_requirement_id}"</span><span style="color: rgb(245, 171, 53);">, response_model=UserRequirement</span><span style="color: rgb(245, 171, 53);">)</span><span>
</span><span></span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">update_user_requirement</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">user_requirement_id: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">int</span><span class="hljs-function" style="color: rgb(245, 171, 53);">, user_requirement: UserRequirementUpdate, db: Session = Depends(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">get_db</span><span class="hljs-function" style="color: rgb(245, 171, 53);">)</span><span class="hljs-function">):</span><span>
</span>    updated_user_requirement = UserRequirementService.update_user_requirement(db=db, user_requirement_id=user_requirement_id, user_requirement=user_requirement)
<span>    </span><span style="color: rgb(220, 198, 224);">if</span><span> </span><span style="color: rgb(220, 198, 224);">not</span><span> updated_user_requirement:
</span><span>        </span><span style="color: rgb(220, 198, 224);">raise</span><span> HTTPException(status_code=</span><span style="color: rgb(245, 171, 53);">404</span><span>, detail=</span><span style="color: rgb(171, 227, 56);">"User Requirement not found"</span><span>)
</span><span>    </span><span style="color: rgb(220, 198, 224);">return</span><span> updated_user_requirement
</span>
<span></span><span style="color: rgb(245, 171, 53);">@router.delete(</span><span style="color: rgb(171, 227, 56);">"/{user_requirement_id}"</span><span style="color: rgb(245, 171, 53);">, status_code=</span><span style="color: rgb(245, 171, 53);">204</span><span style="color: rgb(245, 171, 53);">)</span><span>
</span><span></span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">delete_user_requirement</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">user_requirement_id: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">int</span><span class="hljs-function" style="color: rgb(245, 171, 53);">, db: Session = Depends(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">get_db</span><span class="hljs-function" style="color: rgb(245, 171, 53);">)</span><span class="hljs-function">):</span><span>
</span>    UserRequirementService.delete_user_requirement(db=db, user_requirement_id=user_requirement_id)

<span></span><span style="color: rgb(245, 171, 53);">@router.get(</span><span style="color: rgb(171, 227, 56);">"/"</span><span style="color: rgb(245, 171, 53);">, response_model=</span><span style="color: rgb(245, 171, 53);">List</span><span style="color: rgb(245, 171, 53);">[UserRequirement]</span><span style="color: rgb(245, 171, 53);">)</span><span>
</span><span></span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">list_user_requirements</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">db: Session = Depends(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">get_db</span><span class="hljs-function" style="color: rgb(245, 171, 53);">)</span><span class="hljs-function">):</span><span>
</span><span>    </span><span style="color: rgb(220, 198, 224);">return</span><span> UserRequirementService.list_user_requirements(db=db)
</span>
<span></span><span style="color: rgb(245, 171, 53);">@router.post(</span><span style="color: rgb(171, 227, 56);">"/{user_requirement_id}/analyze-dependencies"</span><span style="color: rgb(245, 171, 53);">)</span><span>
</span><span></span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">analyze_user_requirement_dependencies</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">user_requirement_id: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">int</span><span class="hljs-function" style="color: rgb(245, 171, 53);">, db: Session = Depends(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">get_db</span><span class="hljs-function" style="color: rgb(245, 171, 53);">)</span><span class="hljs-function">):</span><span>
</span>    user_requirement = UserRequirementService.get_user_requirement(db=db, user_requirement_id=user_requirement_id)
<span>    </span><span style="color: rgb(220, 198, 224);">if</span><span> </span><span style="color: rgb(220, 198, 224);">not</span><span> user_requirement:
</span><span>        </span><span style="color: rgb(220, 198, 224);">raise</span><span> HTTPException(status_code=</span><span style="color: rgb(245, 171, 53);">404</span><span>, detail=</span><span style="color: rgb(171, 227, 56);">"User Requirement not found"</span><span>)
</span>    dependencies = UserRequirementService.analyze_dependencies(user_requirement=user_requirement)
<span>    </span><span style="color: rgb(220, 198, 224);">return</span><span> {</span><span style="color: rgb(171, 227, 56);">"dependencies"</span><span>: dependencies}
</span>
  1. services/user_requirement_service.py:

python

Copy

<span style="color: rgb(220, 198, 224);">from</span><span> sqlalchemy.orm </span><span style="color: rgb(220, 198, 224);">import</span><span> Session
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> core.models.user_requirement </span><span style="color: rgb(220, 198, 224);">import</span><span> UserRequirementCreate, UserRequirementUpdate, UserRequirement
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> db.models.user_requirement </span><span style="color: rgb(220, 198, 224);">import</span><span> UserRequirementModel
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> services.llm_service </span><span style="color: rgb(220, 198, 224);">import</span><span> LLMService
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">UserRequirementService</span><span class="hljs-class">:</span><span>
</span><span></span><span style="color: rgb(245, 171, 53);">    @staticmethod</span><span>
</span><span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">create_user_requirement</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">db: Session, user_requirement: UserRequirementCreate</span><span class="hljs-function">):</span><span>
</span><span>        db_user_requirement = UserRequirementModel(**user_requirement.</span><span style="color: rgb(245, 171, 53);">dict</span><span>())
</span>        db.add(db_user_requirement)
        db.commit()
        db.refresh(db_user_requirement)
<span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> db_user_requirement
</span>
<span></span><span style="color: rgb(245, 171, 53);">    @staticmethod</span><span>
</span><span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">get_user_requirement</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">db: Session, user_requirement_id: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">int</span><span class="hljs-function">):</span><span>
</span><span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> db.query(UserRequirementModel).</span><span style="color: rgb(245, 171, 53);">filter</span><span>(UserRequirementModel.</span><span style="color: rgb(245, 171, 53);">id</span><span> == user_requirement_id).first()
</span>
<span></span><span style="color: rgb(245, 171, 53);">    @staticmethod</span><span>
</span><span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">update_user_requirement</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">db: Session, user_requirement_id: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">int</span><span class="hljs-function" style="color: rgb(245, 171, 53);">, user_requirement: UserRequirementUpdate</span><span class="hljs-function">):</span><span>
</span><span>        db_user_requirement = db.query(UserRequirementModel).</span><span style="color: rgb(245, 171, 53);">filter</span><span>(UserRequirementModel.</span><span style="color: rgb(245, 171, 53);">id</span><span> == user_requirement_id).first()
</span><span>        </span><span style="color: rgb(220, 198, 224);">if</span><span> </span><span style="color: rgb(220, 198, 224);">not</span><span> db_user_requirement:
</span><span>            </span><span style="color: rgb(220, 198, 224);">return</span><span> </span><span style="color: rgb(245, 171, 53);">None</span><span>
</span><span>        </span><span style="color: rgb(220, 198, 224);">for</span><span> field, value </span><span style="color: rgb(220, 198, 224);">in</span><span> user_requirement.</span><span style="color: rgb(245, 171, 53);">dict</span><span>(exclude_unset=</span><span style="color: rgb(245, 171, 53);">True</span><span>).items():
</span><span>            </span><span style="color: rgb(245, 171, 53);">setattr</span><span>(db_user_requirement, field, value)
</span>        db.commit()
        db.refresh(db_user_requirement)
<span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> db_user_requirement
</span>
<span></span><span style="color: rgb(245, 171, 53);">    @staticmethod</span><span>
</span><span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">delete_user_requirement</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">db: Session, user_requirement_id: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">int</span><span class="hljs-function">):</span><span>
</span><span>        db_user_requirement = db.query(UserRequirementModel).</span><span style="color: rgb(245, 171, 53);">filter</span><span>(UserRequirementModel.</span><span style="color: rgb(245, 171, 53);">id</span><span> == user_requirement_id).first()
</span><span>        </span><span style="color: rgb(220, 198, 224);">if</span><span> db_user_requirement:
</span>            db.delete(db_user_requirement)
            db.commit()

<span></span><span style="color: rgb(245, 171, 53);">    @staticmethod</span><span>
</span><span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">list_user_requirements</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">db: Session</span><span class="hljs-function">):</span><span>
</span><span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> db.query(UserRequirementModel).</span><span style="color: rgb(245, 171, 53);">all</span><span>()
</span>
<span></span><span style="color: rgb(245, 171, 53);">    @staticmethod</span><span>
</span><span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">analyze_dependencies</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">user_requirement: UserRequirement</span><span class="hljs-function">):</span><span>
</span>        llm_service = LLMService()
        dependencies = llm_service.analyze_user_requirement_dependencies(user_requirement.title, user_requirement.description)
<span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> dependencies
</span>
  1. services/llm_service.py:

python

Copy

<span style="color: rgb(220, 198, 224);">from</span><span> langchain </span><span style="color: rgb(220, 198, 224);">import</span><span> OpenAI
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> langchain.prompts </span><span style="color: rgb(220, 198, 224);">import</span><span> PromptTemplate
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> core.config </span><span style="color: rgb(220, 198, 224);">import</span><span> settings
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">LLMService</span><span class="hljs-class">:</span><span>
</span><span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">__init__</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">self</span><span class="hljs-function">):</span><span>
</span>        self.llm = OpenAI(api_key=settings.llm_api_key)

<span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">analyze_user_requirement_dependencies</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">self, title: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">str</span><span class="hljs-function" style="color: rgb(245, 171, 53);">, description: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">str</span><span class="hljs-function">):</span><span>
</span>        prompt = PromptTemplate(
<span>            input_variables=[</span><span style="color: rgb(171, 227, 56);">"title"</span><span>, </span><span style="color: rgb(171, 227, 56);">"description"</span><span>],
</span><span>            template=</span><span style="color: rgb(171, 227, 56);">"Analyze the user requirement with title '{title}' and description '{description}' and identify potential dependencies."</span><span>
</span>        )
<span>        response = self.llm(prompt.</span><span style="color: rgb(245, 171, 53);">format</span><span>(title=title, description=description))
</span>        dependencies = self._extract_dependencies(response)
<span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> dependencies
</span>
<span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">_extract_dependencies</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">self, response: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">str</span><span class="hljs-function">):</span><span>
</span><span>        </span><span style="color: rgb(212, 208, 171);"># Implement logic to extract dependencies from the LLM response</span><span>
</span><span>        </span><span style="color: rgb(212, 208, 171);"># This will depend on the specific format and structure of the LLM's output</span><span>
</span><span>        </span><span style="color: rgb(212, 208, 171);"># You may need to adjust this method based on your requirements</span><span>
</span><span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> []
</span>
  1. Update requirements.txt:

Copy

<span style="color: rgb(255, 215, 0);">fastapi
</span><span style="color: rgb(255, 215, 0);">uvicorn
</span><span style="color: rgb(255, 215, 0);">sqlalchemy
</span><span style="color: rgb(255, 215, 0);">pydantic
</span><span style="color: rgb(255, 215, 0);">langchain
</span><span style="color: rgb(255, 215, 0);">openai</span><span>
</span>

This implementation provides a starting point for the User Requirement Service using Python, FastAPI, and Langchain. It includes the necessary file structure, API routes, database integration, and LLM service for analyzing user requirement dependencies.

Note that you'll need to set up the database (e.g., SQLite) and provide the necessary environment variables (e.g., LLM_API_KEY) for the implementation to work properly. Additionally, you'll need to implement the _extract_dependencies method in the LLMService class based on the specific format and structure of the LLM's output.

Remember to handle error cases, implement proper validation, and consider security aspects as needed for your specific use case.

Can you provide an example of how the LLMService class can extract dependencies from the LLM response?

Claude-3-Opus

Claude-3-Opus

Poe

Certainly! The process of extracting dependencies from the LLM response depends on the specific format and structure of the output generated by the language model. In this example, let's assume that the LLM response follows a certain pattern where dependencies are listed as bullet points.

Here's an example of how you can implement the _extract_dependencies method in the LLMService class:

python

Copy

<span style="color: rgb(220, 198, 224);">import</span><span> re
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">LLMService</span><span class="hljs-class">:</span><span>
</span><span>    </span><span style="color: rgb(212, 208, 171);"># ... (previous code remains the same)</span><span>
</span>
<span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">_extract_dependencies</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">self, response: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">str</span><span class="hljs-function">):</span><span>
</span><span>        </span><span style="color: rgb(212, 208, 171);"># Assume the dependencies are listed as bullet points in the LLM response</span><span>
</span><span>        </span><span style="color: rgb(212, 208, 171);"># Example response format:</span><span>
</span><span>        </span><span style="color: rgb(212, 208, 171);"># "The potential dependencies for this user requirement are:</span><span>
</span><span>        </span><span style="color: rgb(212, 208, 171);"># - Dependency 1</span><span>
</span><span>        </span><span style="color: rgb(212, 208, 171);"># - Dependency 2</span><span>
</span><span>        </span><span style="color: rgb(212, 208, 171);"># - Dependency 3"</span><span>
</span>
<span>        </span><span style="color: rgb(212, 208, 171);"># Use regular expression to extract the bullet points</span><span>
</span><span>        dependency_pattern = </span><span style="color: rgb(171, 227, 56);">r"- (.*)"</span><span>
</span>        dependencies = re.findall(dependency_pattern, response)

<span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> dependencies
</span>

In this example, we assume that the LLM response follows a specific format where dependencies are listed as bullet points. The response format could look like this:

basic

Copy

<span>The potential dependencies </span><span style="color: rgb(220, 198, 224);">for</span><span> this user requi</span><span style="color: rgb(212, 208, 171);">rement are:</span><span>
</span><span>- Dependency </span><span style="color: rgb(245, 171, 53);">1</span><span>
</span><span>- Dependency </span><span style="color: rgb(245, 171, 53);">2</span><span>
</span><span>- Dependency </span><span style="color: rgb(245, 171, 53);">3</span><span>
</span>

To extract the dependencies, we use a regular expression pattern r"- (.*)" to match and capture the text after each bullet point. The re.findall() function is used to find all occurrences of the pattern in the response string.

The captured dependencies are then returned as a list of strings.

Please note that this is just an example, and the actual implementation of _extract_dependencies will depend on the specific format and structure of the LLM response in your use case. You may need to adjust the regular expression pattern or use different parsing techniques based on how the LLM formats its output.

Also, keep in mind that the quality and accuracy of the extracted dependencies rely on the performance and output of the LLM itself. It's important to test and validate the results to ensure they meet your requirements.

please provide the pseudocode of Context Generation Service:

Claude-3-Opus

Claude-3-Opus

Poe

Certainly! Here's the pseudocode for the Context Generation Service:

sql_more

Copy

<span>Context Generation Service:
</span>    Endpoint: POST /generate-context
    Input:
        - User requirement ID
        - Project ID (optional)
        - Additional context (optional)
    Output:
        - Generated context

    Steps:
        1. Retrieve the user requirement details based on the provided user requirement ID
        2. If project ID is provided:
            2.1. Retrieve the project details based on the project ID
        3. If additional context is provided:
            3.1. Validate and preprocess the additional context
<span>        4. </span><span style="color: rgb(220, 198, 224);">Prepare</span><span> the </span><span style="color: rgb(220, 198, 224);">input</span><span> </span><span style="color: rgb(220, 198, 224);">for</span><span> </span><span style="color: rgb(220, 198, 224);">context</span><span> generation:
</span><span>            </span><span style="color: rgb(245, 171, 53);">4.1</span><span>. </span><span style="color: rgb(220, 198, 224);">Include</span><span> the </span><span style="color: rgb(220, 198, 224);">user</span><span> requirement details
</span><span>            </span><span style="color: rgb(245, 171, 53);">4.2</span><span>. </span><span style="color: rgb(220, 198, 224);">If</span><span> </span><span style="color: rgb(220, 198, 224);">project</span><span> details </span><span style="color: rgb(220, 198, 224);">are</span><span> available, </span><span style="color: rgb(220, 198, 224);">include</span><span> them
</span><span>            </span><span style="color: rgb(245, 171, 53);">4.3</span><span>. </span><span style="color: rgb(220, 198, 224);">If</span><span> additional </span><span style="color: rgb(220, 198, 224);">context</span><span> </span><span style="color: rgb(220, 198, 224);">is</span><span> provided, </span><span style="color: rgb(220, 198, 224);">include</span><span> it
</span><span>        </span><span style="color: rgb(245, 171, 53);">5.</span><span> </span><span style="color: rgb(220, 198, 224);">Call</span><span> the LLM service </span><span style="color: rgb(220, 198, 224);">to</span><span> generate the </span><span style="color: rgb(220, 198, 224);">context</span><span> based </span><span style="color: rgb(220, 198, 224);">on</span><span> the prepared </span><span style="color: rgb(220, 198, 224);">input</span><span>
</span><span>        </span><span style="color: rgb(245, 171, 53);">6.</span><span> Process </span><span style="color: rgb(220, 198, 224);">and</span><span> </span><span style="color: rgb(220, 198, 224);">format</span><span> the </span><span style="color: rgb(220, 198, 224);">generated</span><span> </span><span style="color: rgb(220, 198, 224);">context</span><span>
</span><span>        </span><span style="color: rgb(245, 171, 53);">7.</span><span> </span><span style="color: rgb(220, 198, 224);">Return</span><span> the </span><span style="color: rgb(220, 198, 224);">generated</span><span> </span><span style="color: rgb(220, 198, 224);">context</span><span> </span><span style="color: rgb(220, 198, 224);">as</span><span> the response
</span>
LLM Service:
<span>    </span><span style="color: rgb(220, 198, 224);">Function</span><span>: generate_context(input_data)
</span><span>    </span><span style="color: rgb(220, 198, 224);">Input</span><span>:
</span><span>        - input_data: Prepared </span><span style="color: rgb(220, 198, 224);">input</span><span> </span><span style="color: rgb(220, 198, 224);">for</span><span> </span><span style="color: rgb(220, 198, 224);">context</span><span> generation
</span><span>    </span><span style="color: rgb(220, 198, 224);">Output</span><span>:
</span><span>        - </span><span style="color: rgb(220, 198, 224);">Generated</span><span> </span><span style="color: rgb(220, 198, 224);">context</span><span>
</span>
    Steps:
<span>        </span><span style="color: rgb(245, 171, 53);">1.</span><span> </span><span style="color: rgb(220, 198, 224);">Prepare</span><span> the </span><span style="color: rgb(220, 198, 224);">prompt</span><span> </span><span style="color: rgb(220, 198, 224);">template</span><span> </span><span style="color: rgb(220, 198, 224);">for</span><span> </span><span style="color: rgb(220, 198, 224);">context</span><span> generation
</span><span>        </span><span style="color: rgb(245, 171, 53);">2.</span><span> </span><span style="color: rgb(220, 198, 224);">Format</span><span> the </span><span style="color: rgb(220, 198, 224);">input</span><span> </span><span style="color: rgb(220, 198, 224);">data</span><span> according </span><span style="color: rgb(220, 198, 224);">to</span><span> the </span><span style="color: rgb(220, 198, 224);">prompt</span><span> </span><span style="color: rgb(220, 198, 224);">template</span><span>
</span><span>        </span><span style="color: rgb(245, 171, 53);">3.</span><span> </span><span style="color: rgb(220, 198, 224);">Call</span><span> the LLM API </span><span style="color: rgb(220, 198, 224);">with</span><span> the formatted </span><span style="color: rgb(220, 198, 224);">input</span><span>
</span><span>        </span><span style="color: rgb(245, 171, 53);">4.</span><span> Retrieve the </span><span style="color: rgb(220, 198, 224);">generated</span><span> </span><span style="color: rgb(220, 198, 224);">context</span><span> </span><span style="color: rgb(220, 198, 224);">from</span><span> the LLM response
</span><span>        </span><span style="color: rgb(245, 171, 53);">5.</span><span> Postprocess the </span><span style="color: rgb(220, 198, 224);">generated</span><span> </span><span style="color: rgb(220, 198, 224);">context</span><span> </span><span style="color: rgb(220, 198, 224);">if</span><span> necessary
</span><span>        </span><span style="color: rgb(245, 171, 53);">6.</span><span> </span><span style="color: rgb(220, 198, 224);">Return</span><span> the </span><span style="color: rgb(220, 198, 224);">generated</span><span> </span><span style="color: rgb(220, 198, 224);">context</span><span>
</span>

In this pseudocode:

  1. The Context Generation Service exposes an endpoint (POST /generate-context) that accepts the user requirement ID, project ID (optional), and additional context (optional) as input.

  2. The service retrieves the user requirement details based on the provided user requirement ID.

  3. If a project ID is provided, the service retrieves the project details as well.

  4. If additional context is provided, the service validates and preprocesses it.

  5. The service prepares the input data for context generation by including the user requirement details, project details (if available), and additional context (if provided).

  6. The service calls the LLM service to generate the context based on the prepared input data.

  7. The LLM service prepares the prompt template for context generation, formats the input data according to the template, and calls the LLM API with the formatted input.

  8. The LLM service retrieves the generated context from the LLM response, postprocesses it if necessary, and returns it to the Context Generation Service.

  9. The Context Generation Service processes and formats the generated context and returns it as the response.

This pseudocode provides a high-level overview of the Context Generation Service and its interaction with the LLM service. The actual implementation will involve writing the necessary API endpoints, handling request validation, integrating with the LLM service, and processing the generated context as needed.

as you are python and fastapi expert, please review the design and pseudocode of Context Generation Service, and implement with python and fastapi. First suggest py file structure, the implement one by one. for LLM related, please try use langchain

Claude-3-Opus

Claude-3-Opus

Poe

Certainly! Let's start by suggesting a file structure for the Context Generation Service implementation using Python and FastAPI, including the integration with Langchain for LLM-related functionality. Then, we'll proceed with the implementation of each component.

Suggested File Structure:

basic

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<span>context_generation_service/
</span>├── api/
│   ├── __init__.py
│   ├── dependencies.py
│   └── routes/
│       ├── __init__.py
│       └── context_generation.py
├── core/
│   ├── __init__.py
│   ├── config.py
│   └── models/
│       ├── __init__.py
<span>│       ├── user_requi</span><span style="color: rgb(212, 208, 171);">rement.py</span><span>
</span>│       └── project.py
├── services/
│   ├── __init__.py
│   ├── llm_service.py
│   └── context_generation_service.py
├── main.py
<span>└── requi</span><span style="color: rgb(212, 208, 171);">rements.txt</span><span>
</span>

Now, let's implement each component:

  1. main.py:

python

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<span style="color: rgb(220, 198, 224);">from</span><span> fastapi </span><span style="color: rgb(220, 198, 224);">import</span><span> FastAPI
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> api.routes </span><span style="color: rgb(220, 198, 224);">import</span><span> context_generation
</span>
app = FastAPI()

app.include_router(context_generation.router)

<span></span><span style="color: rgb(220, 198, 224);">if</span><span> __name__ == </span><span style="color: rgb(171, 227, 56);">"__main__"</span><span>:
</span><span>    </span><span style="color: rgb(220, 198, 224);">import</span><span> uvicorn
</span><span>    uvicorn.run(app, host=</span><span style="color: rgb(171, 227, 56);">"0.0.0.0"</span><span>, port=</span><span style="color: rgb(245, 171, 53);">8000</span><span>)
</span>
  1. core/config.py:

python

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<span style="color: rgb(220, 198, 224);">from</span><span> pydantic </span><span style="color: rgb(220, 198, 224);">import</span><span> BaseSettings
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">Settings</span><span class="hljs-class">(</span><span class="hljs-class" style="color: rgb(245, 171, 53);">BaseSettings</span><span class="hljs-class">):</span><span>
</span><span>    llm_api_key: </span><span style="color: rgb(245, 171, 53);">str</span><span> = </span><span style="color: rgb(171, 227, 56);">"your_llm_api_key"</span><span>
</span>
settings = Settings()
  1. core/models/user_requirement.py:

python

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<span style="color: rgb(220, 198, 224);">from</span><span> pydantic </span><span style="color: rgb(220, 198, 224);">import</span><span> BaseModel
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">UserRequirement</span><span class="hljs-class">(</span><span class="hljs-class" style="color: rgb(245, 171, 53);">BaseModel</span><span class="hljs-class">):</span><span>
</span><span>    </span><span style="color: rgb(245, 171, 53);">id</span><span>: </span><span style="color: rgb(245, 171, 53);">int</span><span>
</span><span>    title: </span><span style="color: rgb(245, 171, 53);">str</span><span>
</span><span>    description: </span><span style="color: rgb(245, 171, 53);">str</span><span>
</span>
  1. core/models/project.py:

python

Copy

<span style="color: rgb(220, 198, 224);">from</span><span> pydantic </span><span style="color: rgb(220, 198, 224);">import</span><span> BaseModel
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">Project</span><span class="hljs-class">(</span><span class="hljs-class" style="color: rgb(245, 171, 53);">BaseModel</span><span class="hljs-class">):</span><span>
</span><span>    </span><span style="color: rgb(245, 171, 53);">id</span><span>: </span><span style="color: rgb(245, 171, 53);">int</span><span>
</span><span>    name: </span><span style="color: rgb(245, 171, 53);">str</span><span>
</span><span>    description: </span><span style="color: rgb(245, 171, 53);">str</span><span>
</span>
  1. api/dependencies.py:

python

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<span style="color: rgb(212, 208, 171);"># Add any dependencies here</span><span>
</span>
  1. api/routes/context_generation.py:

python

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<span style="color: rgb(220, 198, 224);">from</span><span> fastapi </span><span style="color: rgb(220, 198, 224);">import</span><span> APIRouter, Depends
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> pydantic </span><span style="color: rgb(220, 198, 224);">import</span><span> BaseModel
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> services.context_generation_service </span><span style="color: rgb(220, 198, 224);">import</span><span> ContextGenerationService
</span>
<span>router = APIRouter(prefix=</span><span style="color: rgb(171, 227, 56);">"/context-generation"</span><span>, tags=[</span><span style="color: rgb(171, 227, 56);">"context-generation"</span><span>])
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">ContextGenerationRequest</span><span class="hljs-class">(</span><span class="hljs-class" style="color: rgb(245, 171, 53);">BaseModel</span><span class="hljs-class">):</span><span>
</span><span>    user_requirement_id: </span><span style="color: rgb(245, 171, 53);">int</span><span>
</span><span>    project_id: </span><span style="color: rgb(245, 171, 53);">Optional</span><span>[</span><span style="color: rgb(245, 171, 53);">int</span><span>] = </span><span style="color: rgb(245, 171, 53);">None</span><span>
</span><span>    additional_context: </span><span style="color: rgb(245, 171, 53);">Optional</span><span>[</span><span style="color: rgb(245, 171, 53);">str</span><span>] = </span><span style="color: rgb(245, 171, 53);">None</span><span>
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">ContextGenerationResponse</span><span class="hljs-class">(</span><span class="hljs-class" style="color: rgb(245, 171, 53);">BaseModel</span><span class="hljs-class">):</span><span>
</span><span>    generated_context: </span><span style="color: rgb(245, 171, 53);">str</span><span>
</span>
<span></span><span style="color: rgb(245, 171, 53);">@router.post(</span><span style="color: rgb(171, 227, 56);">"/generate-context"</span><span style="color: rgb(245, 171, 53);">, response_model=ContextGenerationResponse</span><span style="color: rgb(245, 171, 53);">)</span><span>
</span><span></span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">generate_context</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">request: ContextGenerationRequest</span><span class="hljs-function">):</span><span>
</span>    generated_context = ContextGenerationService.generate_context(
        user_requirement_id=request.user_requirement_id,
        project_id=request.project_id,
        additional_context=request.additional_context
    )
<span>    </span><span style="color: rgb(220, 198, 224);">return</span><span> ContextGenerationResponse(generated_context=generated_context)
</span>
  1. services/context_generation_service.py:

python

Copy

<span style="color: rgb(220, 198, 224);">from</span><span> typing </span><span style="color: rgb(220, 198, 224);">import</span><span> </span><span style="color: rgb(245, 171, 53);">Optional</span><span>
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> core.models.user_requirement </span><span style="color: rgb(220, 198, 224);">import</span><span> UserRequirement
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> core.models.project </span><span style="color: rgb(220, 198, 224);">import</span><span> Project
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> services.llm_service </span><span style="color: rgb(220, 198, 224);">import</span><span> LLMService
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">ContextGenerationService</span><span class="hljs-class">:</span><span>
</span><span></span><span style="color: rgb(245, 171, 53);">    @staticmethod</span><span>
</span><span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">generate_context</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">user_requirement_id: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">int</span><span class="hljs-function" style="color: rgb(245, 171, 53);">, project_id: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">Optional</span><span class="hljs-function" style="color: rgb(245, 171, 53);">[</span><span class="hljs-function" style="color: rgb(245, 171, 53);">int</span><span class="hljs-function" style="color: rgb(245, 171, 53);">] = </span><span class="hljs-function" style="color: rgb(245, 171, 53);">None</span><span class="hljs-function" style="color: rgb(245, 171, 53);">, additional_context: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">Optional</span><span class="hljs-function" style="color: rgb(245, 171, 53);">[</span><span class="hljs-function" style="color: rgb(245, 171, 53);">str</span><span class="hljs-function" style="color: rgb(245, 171, 53);">] = </span><span class="hljs-function" style="color: rgb(245, 171, 53);">None</span><span class="hljs-function">):</span><span>
</span>        user_requirement = ContextGenerationService._get_user_requirement(user_requirement_id)
<span>        project = ContextGenerationService._get_project(project_id) </span><span style="color: rgb(220, 198, 224);">if</span><span> project_id </span><span style="color: rgb(220, 198, 224);">else</span><span> </span><span style="color: rgb(245, 171, 53);">None</span><span>
</span>
        input_data = {
<span>            </span><span style="color: rgb(171, 227, 56);">"user_requirement"</span><span>: user_requirement.</span><span style="color: rgb(245, 171, 53);">dict</span><span>(),
</span><span>            </span><span style="color: rgb(171, 227, 56);">"project"</span><span>: project.</span><span style="color: rgb(245, 171, 53);">dict</span><span>() </span><span style="color: rgb(220, 198, 224);">if</span><span> project </span><span style="color: rgb(220, 198, 224);">else</span><span> </span><span style="color: rgb(245, 171, 53);">None</span><span>,
</span><span>            </span><span style="color: rgb(171, 227, 56);">"additional_context"</span><span>: additional_context
</span>        }

        llm_service = LLMService()
        generated_context = llm_service.generate_context(input_data)

<span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> generated_context
</span>
<span></span><span style="color: rgb(245, 171, 53);">    @staticmethod</span><span>
</span><span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">_get_user_requirement</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">user_requirement_id: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">int</span><span class="hljs-function">):</span><span>
</span><span>        </span><span style="color: rgb(212, 208, 171);"># Retrieve user requirement details based on the ID</span><span>
</span><span>        </span><span style="color: rgb(212, 208, 171);"># Replace this with your actual implementation to fetch user requirement from a database or API</span><span>
</span><span>        user_requirement = UserRequirement(</span><span style="color: rgb(245, 171, 53);">id</span><span>=user_requirement_id, title=</span><span style="color: rgb(171, 227, 56);">"Sample User Requirement"</span><span>, description=</span><span style="color: rgb(171, 227, 56);">"Sample description"</span><span>)
</span><span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> user_requirement
</span>
<span></span><span style="color: rgb(245, 171, 53);">    @staticmethod</span><span>
</span><span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">_get_project</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">project_id: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">int</span><span class="hljs-function">):</span><span>
</span><span>        </span><span style="color: rgb(212, 208, 171);"># Retrieve project details based on the ID</span><span>
</span><span>        </span><span style="color: rgb(212, 208, 171);"># Replace this with your actual implementation to fetch project from a database or API</span><span>
</span><span>        project = Project(</span><span style="color: rgb(245, 171, 53);">id</span><span>=project_id, name=</span><span style="color: rgb(171, 227, 56);">"Sample Project"</span><span>, description=</span><span style="color: rgb(171, 227, 56);">"Sample project description"</span><span>)
</span><span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> project
</span>
  1. services/llm_service.py:

python

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<span style="color: rgb(220, 198, 224);">from</span><span> langchain </span><span style="color: rgb(220, 198, 224);">import</span><span> OpenAI
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> langchain.prompts </span><span style="color: rgb(220, 198, 224);">import</span><span> PromptTemplate
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> core.config </span><span style="color: rgb(220, 198, 224);">import</span><span> settings
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">LLMService</span><span class="hljs-class">:</span><span>
</span><span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">__init__</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">self</span><span class="hljs-function">):</span><span>
</span>        self.llm = OpenAI(api_key=settings.llm_api_key)

<span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">generate_context</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">self, input_data</span><span class="hljs-function">):</span><span>
</span>        prompt = PromptTemplate(
<span>            input_variables=[</span><span style="color: rgb(171, 227, 56);">"user_requirement"</span><span>, </span><span style="color: rgb(171, 227, 56);">"project"</span><span>, </span><span style="color: rgb(171, 227, 56);">"additional_context"</span><span>],
</span><span>            template=</span><span style="color: rgb(171, 227, 56);">"Generate context for the user requirement:\n{user_requirement}\nProject: {project}\nAdditional Context: {additional_context}"</span><span>
</span>        )
<span>        formatted_input = prompt.</span><span style="color: rgb(245, 171, 53);">format</span><span>(
</span><span>            user_requirement=input_data[</span><span style="color: rgb(171, 227, 56);">"user_requirement"</span><span>],
</span><span>            project=input_data[</span><span style="color: rgb(171, 227, 56);">"project"</span><span>],
</span><span>            additional_context=input_data[</span><span style="color: rgb(171, 227, 56);">"additional_context"</span><span>]
</span>        )
        response = self.llm(formatted_input)
        generated_context = self._postprocess_context(response)
<span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> generated_context
</span>
<span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">_postprocess_context</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">self, response: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">str</span><span class="hljs-function">):</span><span>
</span><span>        </span><span style="color: rgb(212, 208, 171);"># Implement any necessary postprocessing of the generated context</span><span>
</span><span>        </span><span style="color: rgb(212, 208, 171);"># This will depend on the specific requirements and format of the generated context</span><span>
</span><span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> response
</span>
  1. Update requirements.txt:

Copy

<span style="color: rgb(255, 215, 0);">fastapi
</span><span style="color: rgb(255, 215, 0);">uvicorn
</span><span style="color: rgb(255, 215, 0);">pydantic
</span><span style="color: rgb(255, 215, 0);">langchain
</span><span style="color: rgb(255, 215, 0);">openai</span><span>
</span>

This implementation provides a starting point for the Context Generation Service using Python, FastAPI, and Langchain. It includes the necessary file structure, API routes, and integration with the LLM service for generating context.

Note that you'll need to provide the necessary environment variables (e.g., LLM_API_KEY) for the implementation to work properly. Additionally, you'll need to replace the placeholder implementations for retrieving user requirements and projects with your actual implementation to fetch data from a database or API.

Remember to handle error cases, implement proper validation, and consider security aspects as needed for your specific use case.

please provide the pseudocode of User Story Generation Service

Claude-3-Opus

Claude-3-Opus

Poe

Certainly! Here's the pseudocode for the User Story Generation Service:

pgsql

Copy

<span style="color: rgb(220, 198, 224);">User</span><span> Story Generation Service:
</span><span>    Endpoint: POST /generate-</span><span style="color: rgb(220, 198, 224);">user</span><span>-story
</span><span>    </span><span style="color: rgb(220, 198, 224);">Input</span><span>:
</span><span>        - </span><span style="color: rgb(220, 198, 224);">User</span><span> requirement ID
</span>        - Context (optional)
    Output:
<span>        - </span><span style="color: rgb(220, 198, 224);">Generated</span><span> </span><span style="color: rgb(220, 198, 224);">user</span><span> story
</span>
    Steps:
<span>        </span><span style="color: rgb(245, 171, 53);">1.</span><span> Retrieve the </span><span style="color: rgb(220, 198, 224);">user</span><span> requirement details based </span><span style="color: rgb(220, 198, 224);">on</span><span> the provided </span><span style="color: rgb(220, 198, 224);">user</span><span> requirement ID
</span><span>        </span><span style="color: rgb(245, 171, 53);">2.</span><span> </span><span style="color: rgb(220, 198, 224);">If</span><span> context </span><span style="color: rgb(220, 198, 224);">is</span><span> provided:
</span><span>            </span><span style="color: rgb(245, 171, 53);">2.1</span><span>. </span><span style="color: rgb(220, 198, 224);">Validate</span><span> </span><span style="color: rgb(220, 198, 224);">and</span><span> preprocess the context
</span><span>        </span><span style="color: rgb(245, 171, 53);">3.</span><span> </span><span style="color: rgb(220, 198, 224);">Prepare</span><span> the </span><span style="color: rgb(220, 198, 224);">input</span><span> </span><span style="color: rgb(220, 198, 224);">for</span><span> </span><span style="color: rgb(220, 198, 224);">user</span><span> story generation:
</span><span>            </span><span style="color: rgb(245, 171, 53);">3.1</span><span>. </span><span style="color: rgb(220, 198, 224);">Include</span><span> the </span><span style="color: rgb(220, 198, 224);">user</span><span> requirement details
</span><span>            </span><span style="color: rgb(245, 171, 53);">3.2</span><span>. </span><span style="color: rgb(220, 198, 224);">If</span><span> context </span><span style="color: rgb(220, 198, 224);">is</span><span> provided, </span><span style="color: rgb(220, 198, 224);">include</span><span> it
</span><span>        </span><span style="color: rgb(245, 171, 53);">4.</span><span> </span><span style="color: rgb(220, 198, 224);">Call</span><span> the LLM service </span><span style="color: rgb(220, 198, 224);">to</span><span> generate the </span><span style="color: rgb(220, 198, 224);">user</span><span> story based </span><span style="color: rgb(220, 198, 224);">on</span><span> the </span><span style="color: rgb(220, 198, 224);">prepared</span><span> </span><span style="color: rgb(220, 198, 224);">input</span><span>
</span><span>        </span><span style="color: rgb(245, 171, 53);">5.</span><span> Process </span><span style="color: rgb(220, 198, 224);">and</span><span> </span><span style="color: rgb(220, 198, 224);">format</span><span> the </span><span style="color: rgb(220, 198, 224);">generated</span><span> </span><span style="color: rgb(220, 198, 224);">user</span><span> story
</span><span>        </span><span style="color: rgb(245, 171, 53);">6.</span><span> </span><span style="color: rgb(220, 198, 224);">Return</span><span> the </span><span style="color: rgb(220, 198, 224);">generated</span><span> </span><span style="color: rgb(220, 198, 224);">user</span><span> story </span><span style="color: rgb(220, 198, 224);">as</span><span> the response
</span>
LLM Service:
<span>    </span><span style="color: rgb(220, 198, 224);">Function</span><span>: generate_user_story(input_data)
</span><span>    </span><span style="color: rgb(220, 198, 224);">Input</span><span>:
</span><span>        - input_data: </span><span style="color: rgb(220, 198, 224);">Prepared</span><span> </span><span style="color: rgb(220, 198, 224);">input</span><span> </span><span style="color: rgb(220, 198, 224);">for</span><span> </span><span style="color: rgb(220, 198, 224);">user</span><span> story generation
</span>    Output:
<span>        - </span><span style="color: rgb(220, 198, 224);">Generated</span><span> </span><span style="color: rgb(220, 198, 224);">user</span><span> story
</span>
    Steps:
<span>        </span><span style="color: rgb(245, 171, 53);">1.</span><span> </span><span style="color: rgb(220, 198, 224);">Prepare</span><span> the prompt </span><span style="color: rgb(220, 198, 224);">template</span><span> </span><span style="color: rgb(220, 198, 224);">for</span><span> </span><span style="color: rgb(220, 198, 224);">user</span><span> story generation
</span><span>        </span><span style="color: rgb(245, 171, 53);">2.</span><span> </span><span style="color: rgb(220, 198, 224);">Format</span><span> the </span><span style="color: rgb(220, 198, 224);">input</span><span> data according </span><span style="color: rgb(220, 198, 224);">to</span><span> the prompt </span><span style="color: rgb(220, 198, 224);">template</span><span>
</span><span>        </span><span style="color: rgb(245, 171, 53);">3.</span><span> </span><span style="color: rgb(220, 198, 224);">Call</span><span> the LLM API </span><span style="color: rgb(220, 198, 224);">with</span><span> the formatted </span><span style="color: rgb(220, 198, 224);">input</span><span>
</span><span>        </span><span style="color: rgb(245, 171, 53);">4.</span><span> Retrieve the </span><span style="color: rgb(220, 198, 224);">generated</span><span> </span><span style="color: rgb(220, 198, 224);">user</span><span> story </span><span style="color: rgb(220, 198, 224);">from</span><span> the LLM response
</span><span>        </span><span style="color: rgb(245, 171, 53);">5.</span><span> Postprocess the </span><span style="color: rgb(220, 198, 224);">generated</span><span> </span><span style="color: rgb(220, 198, 224);">user</span><span> story </span><span style="color: rgb(220, 198, 224);">if</span><span> necessary
</span><span>        </span><span style="color: rgb(245, 171, 53);">6.</span><span> </span><span style="color: rgb(220, 198, 224);">Return</span><span> the </span><span style="color: rgb(220, 198, 224);">generated</span><span> </span><span style="color: rgb(220, 198, 224);">user</span><span> story
</span>

In this pseudocode:

  1. The User Story Generation Service exposes an endpoint (POST /generate-user-story) that accepts the user requirement ID and optional context as input.

  2. The service retrieves the user requirement details based on the provided user requirement ID.

  3. If context is provided, the service validates and preprocesses it.

  4. The service prepares the input data for user story generation by including the user requirement details and context (if provided).

  5. The service calls the LLM service to generate the user story based on the prepared input data.

  6. The LLM service prepares the prompt template for user story generation, formats the input data according to the template, and calls the LLM API with the formatted input.

  7. The LLM service retrieves the generated user story from the LLM response, postprocesses it if necessary, and returns it to the User Story Generation Service.

  8. The User Story Generation Service processes and formats the generated user story and returns it as the response.

This pseudocode provides a high-level overview of the User Story Generation Service and its interaction with the LLM service. The actual implementation will involve writing the necessary API endpoints, handling request validation, integrating with the LLM service, and processing the generated user story as needed.

The implementation details will be similar to the Context Generation Service, with the main differences being the input parameters, the specific prompt template for user story generation, and the processing of the generated user story.

as you are python and fastapi expert, please review the design and pseudocode of User Story Generation Service, and implement with python and fastapi. First suggest py file structure, the implement one by one. for LLM related, please try use langchain

Claude-3-Opus

Claude-3-Opus

Poe

Certainly! Let's start by suggesting a file structure for the User Story Generation Service implementation using Python and FastAPI, including the integration with Langchain for LLM-related functionality. Then, we'll proceed with the implementation of each component.

Suggested File Structure:

basic

Copy

<span>user_story_generation_service/
</span>├── api/
│   ├── __init__.py
│   ├── dependencies.py
│   └── routes/
│       ├── __init__.py
│       └── user_story_generation.py
├── core/
│   ├── __init__.py
│   ├── config.py
│   └── models/
│       ├── __init__.py
<span>│       └── user_requi</span><span style="color: rgb(212, 208, 171);">rement.py</span><span>
</span>├── services/
│   ├── __init__.py
│   ├── llm_service.py
│   └── user_story_generation_service.py
├── main.py
<span>└── requi</span><span style="color: rgb(212, 208, 171);">rements.txt</span><span>
</span>

Now, let's implement each component:

  1. main.py:

python

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<span style="color: rgb(220, 198, 224);">from</span><span> fastapi </span><span style="color: rgb(220, 198, 224);">import</span><span> FastAPI
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> api.routes </span><span style="color: rgb(220, 198, 224);">import</span><span> user_story_generation
</span>
app = FastAPI()

app.include_router(user_story_generation.router)

<span></span><span style="color: rgb(220, 198, 224);">if</span><span> __name__ == </span><span style="color: rgb(171, 227, 56);">"__main__"</span><span>:
</span><span>    </span><span style="color: rgb(220, 198, 224);">import</span><span> uvicorn
</span><span>    uvicorn.run(app, host=</span><span style="color: rgb(171, 227, 56);">"0.0.0.0"</span><span>, port=</span><span style="color: rgb(245, 171, 53);">8000</span><span>)
</span>
  1. core/config.py:

python

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<span style="color: rgb(220, 198, 224);">from</span><span> pydantic </span><span style="color: rgb(220, 198, 224);">import</span><span> BaseSettings
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">Settings</span><span class="hljs-class">(</span><span class="hljs-class" style="color: rgb(245, 171, 53);">BaseSettings</span><span class="hljs-class">):</span><span>
</span><span>    llm_api_key: </span><span style="color: rgb(245, 171, 53);">str</span><span> = </span><span style="color: rgb(171, 227, 56);">"your_llm_api_key"</span><span>
</span>
settings = Settings()
  1. core/models/user_requirement.py:

python

Copy

<span style="color: rgb(220, 198, 224);">from</span><span> pydantic </span><span style="color: rgb(220, 198, 224);">import</span><span> BaseModel
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">UserRequirement</span><span class="hljs-class">(</span><span class="hljs-class" style="color: rgb(245, 171, 53);">BaseModel</span><span class="hljs-class">):</span><span>
</span><span>    </span><span style="color: rgb(245, 171, 53);">id</span><span>: </span><span style="color: rgb(245, 171, 53);">int</span><span>
</span><span>    title: </span><span style="color: rgb(245, 171, 53);">str</span><span>
</span><span>    description: </span><span style="color: rgb(245, 171, 53);">str</span><span>
</span>
  1. api/dependencies.py:

python

Copy

<span style="color: rgb(212, 208, 171);"># Add any dependencies here</span><span>
</span>
  1. api/routes/user_story_generation.py:

python

Copy

<span style="color: rgb(220, 198, 224);">from</span><span> fastapi </span><span style="color: rgb(220, 198, 224);">import</span><span> APIRouter, Depends
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> pydantic </span><span style="color: rgb(220, 198, 224);">import</span><span> BaseModel
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> services.user_story_generation_service </span><span style="color: rgb(220, 198, 224);">import</span><span> UserStoryGenerationService
</span>
<span>router = APIRouter(prefix=</span><span style="color: rgb(171, 227, 56);">"/user-story-generation"</span><span>, tags=[</span><span style="color: rgb(171, 227, 56);">"user-story-generation"</span><span>])
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">UserStoryGenerationRequest</span><span class="hljs-class">(</span><span class="hljs-class" style="color: rgb(245, 171, 53);">BaseModel</span><span class="hljs-class">):</span><span>
</span><span>    user_requirement_id: </span><span style="color: rgb(245, 171, 53);">int</span><span>
</span><span>    context: </span><span style="color: rgb(245, 171, 53);">Optional</span><span>[</span><span style="color: rgb(245, 171, 53);">str</span><span>] = </span><span style="color: rgb(245, 171, 53);">None</span><span>
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">UserStoryGenerationResponse</span><span class="hljs-class">(</span><span class="hljs-class" style="color: rgb(245, 171, 53);">BaseModel</span><span class="hljs-class">):</span><span>
</span><span>    generated_user_story: </span><span style="color: rgb(245, 171, 53);">str</span><span>
</span>
<span></span><span style="color: rgb(245, 171, 53);">@router.post(</span><span style="color: rgb(171, 227, 56);">"/generate-user-story"</span><span style="color: rgb(245, 171, 53);">, response_model=UserStoryGenerationResponse</span><span style="color: rgb(245, 171, 53);">)</span><span>
</span><span></span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">generate_user_story</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">request: UserStoryGenerationRequest</span><span class="hljs-function">):</span><span>
</span>    generated_user_story = UserStoryGenerationService.generate_user_story(
        user_requirement_id=request.user_requirement_id,
        context=request.context
    )
<span>    </span><span style="color: rgb(220, 198, 224);">return</span><span> UserStoryGenerationResponse(generated_user_story=generated_user_story)
</span>
  1. services/user_story_generation_service.py:

python

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<span style="color: rgb(220, 198, 224);">from</span><span> typing </span><span style="color: rgb(220, 198, 224);">import</span><span> </span><span style="color: rgb(245, 171, 53);">Optional</span><span>
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> core.models.user_requirement </span><span style="color: rgb(220, 198, 224);">import</span><span> UserRequirement
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> services.llm_service </span><span style="color: rgb(220, 198, 224);">import</span><span> LLMService
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">UserStoryGenerationService</span><span class="hljs-class">:</span><span>
</span><span></span><span style="color: rgb(245, 171, 53);">    @staticmethod</span><span>
</span><span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">generate_user_story</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">user_requirement_id: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">int</span><span class="hljs-function" style="color: rgb(245, 171, 53);">, context: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">Optional</span><span class="hljs-function" style="color: rgb(245, 171, 53);">[</span><span class="hljs-function" style="color: rgb(245, 171, 53);">str</span><span class="hljs-function" style="color: rgb(245, 171, 53);">] = </span><span class="hljs-function" style="color: rgb(245, 171, 53);">None</span><span class="hljs-function">):</span><span>
</span>        user_requirement = UserStoryGenerationService._get_user_requirement(user_requirement_id)

        input_data = {
<span>            </span><span style="color: rgb(171, 227, 56);">"user_requirement"</span><span>: user_requirement.</span><span style="color: rgb(245, 171, 53);">dict</span><span>(),
</span><span>            </span><span style="color: rgb(171, 227, 56);">"context"</span><span>: context
</span>        }

        llm_service = LLMService()
        generated_user_story = llm_service.generate_user_story(input_data)

<span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> generated_user_story
</span>
<span></span><span style="color: rgb(245, 171, 53);">    @staticmethod</span><span>
</span><span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">_get_user_requirement</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">user_requirement_id: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">int</span><span class="hljs-function">):</span><span>
</span><span>        </span><span style="color: rgb(212, 208, 171);"># Retrieve user requirement details based on the ID</span><span>
</span><span>        </span><span style="color: rgb(212, 208, 171);"># Replace this with your actual implementation to fetch user requirement from a database or API</span><span>
</span><span>        user_requirement = UserRequirement(</span><span style="color: rgb(245, 171, 53);">id</span><span>=user_requirement_id, title=</span><span style="color: rgb(171, 227, 56);">"Sample User Requirement"</span><span>, description=</span><span style="color: rgb(171, 227, 56);">"Sample description"</span><span>)
</span><span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> user_requirement
</span>
  1. services/llm_service.py:

python

Copy

<span style="color: rgb(220, 198, 224);">from</span><span> langchain </span><span style="color: rgb(220, 198, 224);">import</span><span> OpenAI
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> langchain.prompts </span><span style="color: rgb(220, 198, 224);">import</span><span> PromptTemplate
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> core.config </span><span style="color: rgb(220, 198, 224);">import</span><span> settings
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">LLMService</span><span class="hljs-class">:</span><span>
</span><span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">__init__</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">self</span><span class="hljs-function">):</span><span>
</span>        self.llm = OpenAI(api_key=settings.llm_api_key)

<span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">generate_user_story</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">self, input_data</span><span class="hljs-function">):</span><span>
</span>        prompt = PromptTemplate(
<span>            input_variables=[</span><span style="color: rgb(171, 227, 56);">"user_requirement"</span><span>, </span><span style="color: rgb(171, 227, 56);">"context"</span><span>],
</span><span>            template=</span><span style="color: rgb(171, 227, 56);">"Generate a user story for the user requirement:\n{user_requirement}\nContext: {context}"</span><span>
</span>        )
<span>        formatted_input = prompt.</span><span style="color: rgb(245, 171, 53);">format</span><span>(
</span><span>            user_requirement=input_data[</span><span style="color: rgb(171, 227, 56);">"user_requirement"</span><span>],
</span><span>            context=input_data[</span><span style="color: rgb(171, 227, 56);">"context"</span><span>]
</span>        )
        response = self.llm(formatted_input)
        generated_user_story = self._postprocess_user_story(response)
<span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> generated_user_story
</span>
<span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">_postprocess_user_story</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">self, response: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">str</span><span class="hljs-function">):</span><span>
</span><span>        </span><span style="color: rgb(212, 208, 171);"># Implement any necessary postprocessing of the generated user story</span><span>
</span><span>        </span><span style="color: rgb(212, 208, 171);"># This will depend on the specific requirements and format of the generated user story</span><span>
</span><span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> response
</span>
  1. Update requirements.txt:

Copy

<span style="color: rgb(255, 215, 0);">fastapi
</span><span style="color: rgb(255, 215, 0);">uvicorn
</span><span style="color: rgb(255, 215, 0);">pydantic
</span><span style="color: rgb(255, 215, 0);">langchain
</span><span style="color: rgb(255, 215, 0);">openai</span><span>
</span>

This implementation provides a starting point for the User Story Generation Service using Python, FastAPI, and Langchain. It includes the necessary file structure, API routes, and integration with the LLM service for generating user stories.

Note that you'll need to provide the necessary environment variables (e.g., LLM_API_KEY) for the implementation to work properly. Additionally, you'll need to replace the placeholder implementation for retrieving user requirements with your actual implementation to fetch data from a database or API.

Remember to handle error cases, implement proper validation, and consider security aspects as needed for your specific use case.

as you are python and fastapi expert, also LLM application development expert, now please review above Implementation of Project Service, User Requirement Service,Context Generation Service, User Story Generation Service, dependencies between user requirements using two approaches: manual update by a Business Analyst (BA) and leveraging Large Language Model (LLM) capabilities. please refine file structure, external prompt template, and refine the code one by one

Claude-3-Opus

Claude-3-Opus

Poe

Certainly! Let's refine the file structure and code for the Project Service, User Requirement Service, Context Generation Service, and User Story Generation Service, considering the dependencies between user requirements using manual updates by a Business Analyst (BA) and leveraging Large Language Model (LLM) capabilities.

Refined File Structure:

basic

Copy

<span>project_management_service/
</span>├── api/
│   ├── __init__.py
│   ├── dependencies.py
│   └── routes/
│       ├── __init__.py
│       ├── projects.py
<span>│       ├── user_requi</span><span style="color: rgb(212, 208, 171);">rements.py</span><span>
</span>│       ├── context_generation.py
│       └── user_story_generation.py
├── core/
│   ├── __init__.py
│   ├── config.py
│   └── models/
│       ├── __init__.py
│       ├── project.py
<span>│       ├── user_requi</span><span style="color: rgb(212, 208, 171);">rement.py</span><span>
</span>│       └── user_story.py
<span>├── </span><span style="color: rgb(220, 198, 224);">data</span><span>/
</span>│   ├── __init__.py
│   └── repositories/
│       ├── __init__.py
│       ├── project_repository.py
<span>│       ├── user_requi</span><span style="color: rgb(212, 208, 171);">rement_repository.py</span><span>
</span>│       └── user_story_repository.py
├── services/
│   ├── __init__.py
│   ├── llm_service.py
│   ├── context_generation_service.py
│   ├── user_story_generation_service.py
│   ├── project_service.py
<span>│   └── user_requi</span><span style="color: rgb(212, 208, 171);">rement_service.py</span><span>
</span>├── prompts/
│   ├── context_generation_prompt.txt
│   └── user_story_generation_prompt.txt
├── main.py
<span>└── requi</span><span style="color: rgb(212, 208, 171);">rements.txt</span><span>
</span>

Now, let's refine the code for each component:

  1. core/models/project.py:

python

Copy

<span style="color: rgb(220, 198, 224);">from</span><span> pydantic </span><span style="color: rgb(220, 198, 224);">import</span><span> BaseModel
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> typing </span><span style="color: rgb(220, 198, 224);">import</span><span> </span><span style="color: rgb(245, 171, 53);">List</span><span>
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> .user_requirement </span><span style="color: rgb(220, 198, 224);">import</span><span> UserRequirement
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">Project</span><span class="hljs-class">(</span><span class="hljs-class" style="color: rgb(245, 171, 53);">BaseModel</span><span class="hljs-class">):</span><span>
</span><span>    </span><span style="color: rgb(245, 171, 53);">id</span><span>: </span><span style="color: rgb(245, 171, 53);">int</span><span>
</span><span>    name: </span><span style="color: rgb(245, 171, 53);">str</span><span>
</span><span>    description: </span><span style="color: rgb(245, 171, 53);">str</span><span>
</span><span>    user_requirements: </span><span style="color: rgb(245, 171, 53);">List</span><span>[UserRequirement] = []
</span>
  1. core/models/user_requirement.py:

python

Copy

<span style="color: rgb(220, 198, 224);">from</span><span> pydantic </span><span style="color: rgb(220, 198, 224);">import</span><span> BaseModel
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> typing </span><span style="color: rgb(220, 198, 224);">import</span><span> </span><span style="color: rgb(245, 171, 53);">List</span><span>, </span><span style="color: rgb(245, 171, 53);">Optional</span><span>
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">UserRequirement</span><span class="hljs-class">(</span><span class="hljs-class" style="color: rgb(245, 171, 53);">BaseModel</span><span class="hljs-class">):</span><span>
</span><span>    </span><span style="color: rgb(245, 171, 53);">id</span><span>: </span><span style="color: rgb(245, 171, 53);">int</span><span>
</span><span>    title: </span><span style="color: rgb(245, 171, 53);">str</span><span>
</span><span>    description: </span><span style="color: rgb(245, 171, 53);">str</span><span>
</span><span>    project_id: </span><span style="color: rgb(245, 171, 53);">int</span><span>
</span><span>    dependencies: </span><span style="color: rgb(245, 171, 53);">List</span><span>[</span><span style="color: rgb(245, 171, 53);">int</span><span>] = []
</span><span>    generated_context: </span><span style="color: rgb(245, 171, 53);">Optional</span><span>[</span><span style="color: rgb(245, 171, 53);">str</span><span>] = </span><span style="color: rgb(245, 171, 53);">None</span><span>
</span>
  1. core/models/user_story.py:

python

Copy

<span style="color: rgb(220, 198, 224);">from</span><span> pydantic </span><span style="color: rgb(220, 198, 224);">import</span><span> BaseModel
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">UserStory</span><span class="hljs-class">(</span><span class="hljs-class" style="color: rgb(245, 171, 53);">BaseModel</span><span class="hljs-class">):</span><span>
</span><span>    </span><span style="color: rgb(245, 171, 53);">id</span><span>: </span><span style="color: rgb(245, 171, 53);">int</span><span>
</span><span>    user_requirement_id: </span><span style="color: rgb(245, 171, 53);">int</span><span>
</span><span>    description: </span><span style="color: rgb(245, 171, 53);">str</span><span>
</span>
  1. api/routes/projects.py:

python

Copy

<span style="color: rgb(220, 198, 224);">from</span><span> fastapi </span><span style="color: rgb(220, 198, 224);">import</span><span> APIRouter, Depends
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> typing </span><span style="color: rgb(220, 198, 224);">import</span><span> </span><span style="color: rgb(245, 171, 53);">List</span><span>
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> core.models.project </span><span style="color: rgb(220, 198, 224);">import</span><span> Project
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> services.project_service </span><span style="color: rgb(220, 198, 224);">import</span><span> ProjectService
</span>
<span>router = APIRouter(prefix=</span><span style="color: rgb(171, 227, 56);">"/projects"</span><span>, tags=[</span><span style="color: rgb(171, 227, 56);">"projects"</span><span>])
</span>
<span></span><span style="color: rgb(245, 171, 53);">@router.post(</span><span style="color: rgb(171, 227, 56);">"/"</span><span style="color: rgb(245, 171, 53);">, response_model=Project</span><span style="color: rgb(245, 171, 53);">)</span><span>
</span><span></span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">create_project</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">project: Project</span><span class="hljs-function">):</span><span>
</span><span>    </span><span style="color: rgb(220, 198, 224);">return</span><span> ProjectService.create_project(project)
</span>
<span></span><span style="color: rgb(245, 171, 53);">@router.get(</span><span style="color: rgb(171, 227, 56);">"/"</span><span style="color: rgb(245, 171, 53);">, response_model=</span><span style="color: rgb(245, 171, 53);">List</span><span style="color: rgb(245, 171, 53);">[Project]</span><span style="color: rgb(245, 171, 53);">)</span><span>
</span><span></span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">get_projects</span><span class="hljs-function">():</span><span>
</span><span>    </span><span style="color: rgb(220, 198, 224);">return</span><span> ProjectService.get_all_projects()
</span>
<span></span><span style="color: rgb(245, 171, 53);">@router.get(</span><span style="color: rgb(171, 227, 56);">"/{project_id}"</span><span style="color: rgb(245, 171, 53);">, response_model=Project</span><span style="color: rgb(245, 171, 53);">)</span><span>
</span><span></span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">get_project</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">project_id: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">int</span><span class="hljs-function">):</span><span>
</span><span>    </span><span style="color: rgb(220, 198, 224);">return</span><span> ProjectService.get_project_by_id(project_id)
</span>
<span></span><span style="color: rgb(245, 171, 53);">@router.put(</span><span style="color: rgb(171, 227, 56);">"/{project_id}"</span><span style="color: rgb(245, 171, 53);">, response_model=Project</span><span style="color: rgb(245, 171, 53);">)</span><span>
</span><span></span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">update_project</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">project_id: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">int</span><span class="hljs-function" style="color: rgb(245, 171, 53);">, project: Project</span><span class="hljs-function">):</span><span>
</span><span>    </span><span style="color: rgb(220, 198, 224);">return</span><span> ProjectService.update_project(project_id, project)
</span>
<span></span><span style="color: rgb(245, 171, 53);">@router.delete(</span><span style="color: rgb(171, 227, 56);">"/{project_id}"</span><span style="color: rgb(245, 171, 53);">)</span><span>
</span><span></span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">delete_project</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">project_id: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">int</span><span class="hljs-function">):</span><span>
</span>    ProjectService.delete_project(project_id)
  1. api/routes/user_requirements.py:

python

Copy

<span style="color: rgb(220, 198, 224);">from</span><span> fastapi </span><span style="color: rgb(220, 198, 224);">import</span><span> APIRouter, Depends
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> typing </span><span style="color: rgb(220, 198, 224);">import</span><span> </span><span style="color: rgb(245, 171, 53);">List</span><span>
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> core.models.user_requirement </span><span style="color: rgb(220, 198, 224);">import</span><span> UserRequirement
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> services.user_requirement_service </span><span style="color: rgb(220, 198, 224);">import</span><span> UserRequirementService
</span>
<span>router = APIRouter(prefix=</span><span style="color: rgb(171, 227, 56);">"/user-requirements"</span><span>, tags=[</span><span style="color: rgb(171, 227, 56);">"user-requirements"</span><span>])
</span>
<span></span><span style="color: rgb(245, 171, 53);">@router.post(</span><span style="color: rgb(171, 227, 56);">"/"</span><span style="color: rgb(245, 171, 53);">, response_model=UserRequirement</span><span style="color: rgb(245, 171, 53);">)</span><span>
</span><span></span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">create_user_requirement</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">user_requirement: UserRequirement</span><span class="hljs-function">):</span><span>
</span><span>    </span><span style="color: rgb(220, 198, 224);">return</span><span> UserRequirementService.create_user_requirement(user_requirement)
</span>
<span></span><span style="color: rgb(245, 171, 53);">@router.get(</span><span style="color: rgb(171, 227, 56);">"/"</span><span style="color: rgb(245, 171, 53);">, response_model=</span><span style="color: rgb(245, 171, 53);">List</span><span style="color: rgb(245, 171, 53);">[UserRequirement]</span><span style="color: rgb(245, 171, 53);">)</span><span>
</span><span></span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">get_user_requirements</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">project_id: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">int</span><span class="hljs-function">):</span><span>
</span><span>    </span><span style="color: rgb(220, 198, 224);">return</span><span> UserRequirementService.get_user_requirements_by_project(project_id)
</span>
<span></span><span style="color: rgb(245, 171, 53);">@router.get(</span><span style="color: rgb(171, 227, 56);">"/{user_requirement_id}"</span><span style="color: rgb(245, 171, 53);">, response_model=UserRequirement</span><span style="color: rgb(245, 171, 53);">)</span><span>
</span><span></span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">get_user_requirement</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">user_requirement_id: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">int</span><span class="hljs-function">):</span><span>
</span><span>    </span><span style="color: rgb(220, 198, 224);">return</span><span> UserRequirementService.get_user_requirement_by_id(user_requirement_id)
</span>
<span></span><span style="color: rgb(245, 171, 53);">@router.put(</span><span style="color: rgb(171, 227, 56);">"/{user_requirement_id}"</span><span style="color: rgb(245, 171, 53);">, response_model=UserRequirement</span><span style="color: rgb(245, 171, 53);">)</span><span>
</span><span></span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">update_user_requirement</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">user_requirement_id: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">int</span><span class="hljs-function" style="color: rgb(245, 171, 53);">, user_requirement: UserRequirement</span><span class="hljs-function">):</span><span>
</span><span>    </span><span style="color: rgb(220, 198, 224);">return</span><span> UserRequirementService.update_user_requirement(user_requirement_id, user_requirement)
</span>
<span></span><span style="color: rgb(245, 171, 53);">@router.delete(</span><span style="color: rgb(171, 227, 56);">"/{user_requirement_id}"</span><span style="color: rgb(245, 171, 53);">)</span><span>
</span><span></span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">delete_user_requirement</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">user_requirement_id: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">int</span><span class="hljs-function">):</span><span>
</span>    UserRequirementService.delete_user_requirement(user_requirement_id)
  1. api/routes/context_generation.py:

python

Copy

<span style="color: rgb(220, 198, 224);">from</span><span> fastapi </span><span style="color: rgb(220, 198, 224);">import</span><span> APIRouter, Depends
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> pydantic </span><span style="color: rgb(220, 198, 224);">import</span><span> BaseModel
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> services.context_generation_service </span><span style="color: rgb(220, 198, 224);">import</span><span> ContextGenerationService
</span>
<span>router = APIRouter(prefix=</span><span style="color: rgb(171, 227, 56);">"/context-generation"</span><span>, tags=[</span><span style="color: rgb(171, 227, 56);">"context-generation"</span><span>])
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">ContextGenerationRequest</span><span class="hljs-class">(</span><span class="hljs-class" style="color: rgb(245, 171, 53);">BaseModel</span><span class="hljs-class">):</span><span>
</span><span>    user_requirement_id: </span><span style="color: rgb(245, 171, 53);">int</span><span>
</span><span>    project_id: </span><span style="color: rgb(245, 171, 53);">Optional</span><span>[</span><span style="color: rgb(245, 171, 53);">int</span><span>] = </span><span style="color: rgb(245, 171, 53);">None</span><span>
</span><span>    additional_context: </span><span style="color: rgb(245, 171, 53);">Optional</span><span>[</span><span style="color: rgb(245, 171, 53);">str</span><span>] = </span><span style="color: rgb(245, 171, 53);">None</span><span>
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">ContextGenerationResponse</span><span class="hljs-class">(</span><span class="hljs-class" style="color: rgb(245, 171, 53);">BaseModel</span><span class="hljs-class">):</span><span>
</span><span>    generated_context: </span><span style="color: rgb(245, 171, 53);">str</span><span>
</span>
<span></span><span style="color: rgb(245, 171, 53);">@router.post(</span><span style="color: rgb(171, 227, 56);">"/generate-context"</span><span style="color: rgb(245, 171, 53);">, response_model=ContextGenerationResponse</span><span style="color: rgb(245, 171, 53);">)</span><span>
</span><span></span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">generate_context</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">request: ContextGenerationRequest</span><span class="hljs-function">):</span><span>
</span>    generated_context = ContextGenerationService.generate_context(
        user_requirement_id=request.user_requirement_id,
        project_id=request.project_id,
        additional_context=request.additional_context
    )
<span>    </span><span style="color: rgb(220, 198, 224);">return</span><span> ContextGenerationResponse(generated_context=generated_context)
</span>
  1. api/routes/user_story_generation.py:

python

Copy

<span style="color: rgb(220, 198, 224);">from</span><span> fastapi </span><span style="color: rgb(220, 198, 224);">import</span><span> APIRouter, Depends
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> pydantic </span><span style="color: rgb(220, 198, 224);">import</span><span> BaseModel
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> services.user_story_generation_service </span><span style="color: rgb(220, 198, 224);">import</span><span> UserStoryGenerationService
</span>
<span>router = APIRouter(prefix=</span><span style="color: rgb(171, 227, 56);">"/user-story-generation"</span><span>, tags=[</span><span style="color: rgb(171, 227, 56);">"user-story-generation"</span><span>])
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">UserStoryGenerationRequest</span><span class="hljs-class">(</span><span class="hljs-class" style="color: rgb(245, 171, 53);">BaseModel</span><span class="hljs-class">):</span><span>
</span><span>    user_requirement_id: </span><span style="color: rgb(245, 171, 53);">int</span><span>
</span><span>    context: </span><span style="color: rgb(245, 171, 53);">Optional</span><span>[</span><span style="color: rgb(245, 171, 53);">str</span><span>] = </span><span style="color: rgb(245, 171, 53);">None</span><span>
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">UserStoryGenerationResponse</span><span class="hljs-class">(</span><span class="hljs-class" style="color: rgb(245, 171, 53);">BaseModel</span><span class="hljs-class">):</span><span>
</span><span>    generated_user_story: </span><span style="color: rgb(245, 171, 53);">str</span><span>
</span>
<span></span><span style="color: rgb(245, 171, 53);">@router.post(</span><span style="color: rgb(171, 227, 56);">"/generate-user-story"</span><span style="color: rgb(245, 171, 53);">, response_model=UserStoryGenerationResponse</span><span style="color: rgb(245, 171, 53);">)</span><span>
</span><span></span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">generate_user_story</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">request: UserStoryGenerationRequest</span><span class="hljs-function">):</span><span>
</span>    generated_user_story = UserStoryGenerationService.generate_user_story(
        user_requirement_id=request.user_requirement_id,
        context=request.context
    )
<span>    </span><span style="color: rgb(220, 198, 224);">return</span><span> UserStoryGenerationResponse(generated_user_story=generated_user_story)
</span>
  1. services/project_service.py:

python

Copy

<span style="color: rgb(220, 198, 224);">from</span><span> typing </span><span style="color: rgb(220, 198, 224);">import</span><span> </span><span style="color: rgb(245, 171, 53);">List</span><span>
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> core.models.project </span><span style="color: rgb(220, 198, 224);">import</span><span> Project
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> data.repositories.project_repository </span><span style="color: rgb(220, 198, 224);">import</span><span> ProjectRepository
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">ProjectService</span><span class="hljs-class">:</span><span>
</span><span></span><span style="color: rgb(245, 171, 53);">    @staticmethod</span><span>
</span><span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">create_project</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">project: Project</span><span class="hljs-function">):</span><span>
</span><span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> ProjectRepository.create_project(project)
</span>
<span></span><span style="color: rgb(245, 171, 53);">    @staticmethod</span><span>
</span><span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">get_all_projects</span><span class="hljs-function">() -&gt; </span><span class="hljs-function" style="color: rgb(245, 171, 53);">List</span><span class="hljs-function">[Project]:</span><span>
</span><span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> ProjectRepository.get_all_projects()
</span>
<span></span><span style="color: rgb(245, 171, 53);">    @staticmethod</span><span>
</span><span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">get_project_by_id</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">project_id: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">int</span><span class="hljs-function">) -&gt; Project:</span><span>
</span><span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> ProjectRepository.get_project_by_id(project_id)
</span>
<span></span><span style="color: rgb(245, 171, 53);">    @staticmethod</span><span>
</span><span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">update_project</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">project_id: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">int</span><span class="hljs-function" style="color: rgb(245, 171, 53);">, project: Project</span><span class="hljs-function">):</span><span>
</span><span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> ProjectRepository.update_project(project_id, project)
</span>
<span></span><span style="color: rgb(245, 171, 53);">    @staticmethod</span><span>
</span><span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">delete_project</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">project_id: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">int</span><span class="hljs-function">):</span><span>
</span>        ProjectRepository.delete_project(project_id)
  1. services/user_requirement_service.py:

python

Copy

<span style="color: rgb(220, 198, 224);">from</span><span> typing </span><span style="color: rgb(220, 198, 224);">import</span><span> </span><span style="color: rgb(245, 171, 53);">List</span><span>
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> core.models.user_requirement </span><span style="color: rgb(220, 198, 224);">import</span><span> UserRequirement
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> data.repositories.user_requirement_repository </span><span style="color: rgb(220, 198, 224);">import</span><span> UserRequirementRepository
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">UserRequirementService</span><span class="hljs-class">:</span><span>
</span><span></span><span style="color: rgb(245, 171, 53);">    @staticmethod</span><span>
</span><span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">create_user_requirement</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">user_requirement: UserRequirement</span><span class="hljs-function">):</span><span>
</span><span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> UserRequirementRepository.create_user_requirement(user_requirement)
</span>
<span></span><span style="color: rgb(245, 171, 53);">    @staticmethod</span><span>
</span><span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">get_user_requirements_by_project</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">project_id: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">int</span><span class="hljs-function">) -&gt; </span><span class="hljs-function" style="color: rgb(245, 171, 53);">List</span><span class="hljs-function">[UserRequirement]:</span><span>
</span><span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> UserRequirementRepository.get_user_requirements_by_project(project_id)
</span>
<span></span><span style="color: rgb(245, 171, 53);">    @staticmethod</span><span>
</span><span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">get_user_requirement_by_id</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">user_requirement_id: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">int</span><span class="hljs-function">) -&gt; UserRequirement:</span><span>
</span><span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> UserRequirementRepository.get_user_requirement_by_id(user_requirement_id)
</span>
<span></span><span style="color: rgb(245, 171, 53);">    @staticmethod</span><span>
</span><span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">update_user_requirement</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">user_requirement_id: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">int</span><span class="hljs-function" style="color: rgb(245, 171, 53);">, user_requirement: UserRequirement</span><span class="hljs-function">):</span><span>
</span><span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> UserRequirementRepository.update_user_requirement(user_requirement_id, user_requirement)
</span>
<span></span><span style="color: rgb(245, 171, 53);">    @staticmethod</span><span>
</span><span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">delete_user_requirement</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">user_requirement_id: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">int</span><span class="hljs-function">):</span><span>
</span>        UserRequirementRepository.delete_user_requirement(user_requirement_id)
  1. services/context_generation_service.py:

python

Copy

<span style="color: rgb(220, 198, 224);">from</span><span> typing </span><span style="color: rgb(220, 198, 224);">import</span><span> </span><span style="color: rgb(245, 171, 53);">Optional</span><span>
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> core.models.user_requirement </span><span style="color: rgb(220, 198, 224);">import</span><span> UserRequirement
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> core.models.project </span><span style="color: rgb(220, 198, 224);">import</span><span> Project
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> services.llm_service </span><span style="color: rgb(220, 198, 224);">import</span><span> LLMService
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> data.repositories.user_requirement_repository </span><span style="color: rgb(220, 198, 224);">import</span><span> UserRequirementRepository
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> data.repositories.project_repository </span><span style="color: rgb(220, 198, 224);">import</span><span> ProjectRepository
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">ContextGenerationService</span><span class="hljs-class">:</span><span>
</span><span></span><span style="color: rgb(245, 171, 53);">    @staticmethod</span><span>
</span><span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">generate_context</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">user_requirement_id: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">int</span><span class="hljs-function" style="color: rgb(245, 171, 53);">, project_id: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">Optional</span><span class="hljs-function" style="color: rgb(245, 171, 53);">[</span><span class="hljs-function" style="color: rgb(245, 171, 53);">int</span><span class="hljs-function" style="color: rgb(245, 171, 53);">] = </span><span class="hljs-function" style="color: rgb(245, 171, 53);">None</span><span class="hljs-function" style="color: rgb(245, 171, 53);">, additional_context: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">Optional</span><span class="hljs-function" style="color: rgb(245, 171, 53);">[</span><span class="hljs-function" style="color: rgb(245, 171, 53);">str</span><span class="hljs-function" style="color: rgb(245, 171, 53);">] = </span><span class="hljs-function" style="color: rgb(245, 171, 53);">None</span><span class="hljs-function">):</span><span>
</span>        user_requirement = UserRequirementRepository.get_user_requirement_by_id(user_requirement_id)
<span>        project = ProjectRepository.get_project_by_id(project_id) </span><span style="color: rgb(220, 198, 224);">if</span><span> project_id </span><span style="color: rgb(220, 198, 224);">else</span><span> </span><span style="color: rgb(245, 171, 53);">None</span><span>
</span>
        input_data = {
<span>            </span><span style="color: rgb(171, 227, 56);">"user_requirement"</span><span>: user_requirement.</span><span style="color: rgb(245, 171, 53);">dict</span><span>(),
</span><span>            </span><span style="color: rgb(171, 227, 56);">"project"</span><span>: project.</span><span style="color: rgb(245, 171, 53);">dict</span><span>() </span><span style="color: rgb(220, 198, 224);">if</span><span> project </span><span style="color: rgb(220, 198, 224);">else</span><span> </span><span style="color: rgb(245, 171, 53);">None</span><span>,
</span><span>            </span><span style="color: rgb(171, 227, 56);">"additional_context"</span><span>: additional_context
</span>        }

        llm_service = LLMService()
        generated_context = llm_service.generate_context(input_data)

        user_requirement.generated_context = generated_context
        UserRequirementRepository.update_user_requirement(user_requirement_id, user_requirement)

<span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> generated_context
</span>
  1. services/user_story_generation_service.py:

python

Copy

<span style="color: rgb(220, 198, 224);">from</span><span> typing </span><span style="color: rgb(220, 198, 224);">import</span><span> </span><span style="color: rgb(245, 171, 53);">Optional</span><span>
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> core.models.user_requirement </span><span style="color: rgb(220, 198, 224);">import</span><span> UserRequirement
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> services.llm_service </span><span style="color: rgb(220, 198, 224);">import</span><span> LLMService
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> data.repositories.user_requirement_repository </span><span style="color: rgb(220, 198, 224);">import</span><span> UserRequirementRepository
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> data.repositories.user_story_repository </span><span style="color: rgb(220, 198, 224);">import</span><span> UserStoryRepository
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">UserStoryGenerationService</span><span class="hljs-class">:</span><span>
</span><span></span><span style="color: rgb(245, 171, 53);">    @staticmethod</span><span>
</span><span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">generate_user_story</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">user_requirement_id: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">int</span><span class="hljs-function" style="color: rgb(245, 171, 53);">, context: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">Optional</span><span class="hljs-function" style="color: rgb(245, 171, 53);">[</span><span class="hljs-function" style="color: rgb(245, 171, 53);">str</span><span class="hljs-function" style="color: rgb(245, 171, 53);">] = </span><span class="hljs-function" style="color: rgb(245, 171, 53);">None</span><span class="hljs-function">):</span><span>
</span>        user_requirement = UserRequirementRepository.get_user_requirement_by_id(user_requirement_id)

        input_data = {
<span>            </span><span style="color: rgb(171, 227, 56);">"user_requirement"</span><span>: user_requirement.</span><span style="color: rgb(245, 171, 53);">dict</span><span>(),
</span><span>            </span><span style="color: rgb(171, 227, 56);">"context"</span><span>: context
</span>        }

        llm_service = LLMService()
        generated_user_story = llm_service.generate_user_story(input_data)

        user_story = UserStory(
            user_requirement_id=user_requirement_id,
            description=generated_user_story
        )
        UserStoryRepository.create_user_story(user_story)

<span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> generated_user_story
</span>
  1. services/llm_service.py:

python

Copy

<span style="color: rgb(220, 198, 224);">from</span><span> langchain </span><span style="color: rgb(220, 198, 224);">import</span><span> OpenAI
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> langchain.prompts </span><span style="color: rgb(220, 198, 224);">import</span><span> PromptTemplate
</span><span></span><span style="color: rgb(220, 198, 224);">from</span><span> core.config </span><span style="color: rgb(220, 198, 224);">import</span><span> settings
</span>
<span></span><span class="hljs-class" style="color: rgb(220, 198, 224);">class</span><span class="hljs-class"> </span><span class="hljs-class" style="color: rgb(0, 224, 224);">LLMService</span><span class="hljs-class">:</span><span>
</span><span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">__init__</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">self</span><span class="hljs-function">):</span><span>
</span>        self.llm = OpenAI(api_key=settings.llm_api_key)

<span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">generate_context</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">self, input_data</span><span class="hljs-function">):</span><span>
</span><span>        </span><span style="color: rgb(220, 198, 224);">with</span><span> </span><span style="color: rgb(245, 171, 53);">open</span><span>(</span><span style="color: rgb(171, 227, 56);">"prompts/context_generation_prompt.txt"</span><span>, </span><span style="color: rgb(171, 227, 56);">"r"</span><span>) </span><span style="color: rgb(220, 198, 224);">as</span><span> file:
</span>            prompt_template = file.read()

        prompt = PromptTemplate(
<span>            input_variables=[</span><span style="color: rgb(171, 227, 56);">"user_requirement"</span><span>, </span><span style="color: rgb(171, 227, 56);">"project"</span><span>, </span><span style="color: rgb(171, 227, 56);">"additional_context"</span><span>],
</span>            template=prompt_template
        )
<span>        formatted_input = prompt.</span><span style="color: rgb(245, 171, 53);">format</span><span>(
</span><span>            user_requirement=input_data[</span><span style="color: rgb(171, 227, 56);">"user_requirement"</span><span>],
</span><span>            project=input_data[</span><span style="color: rgb(171, 227, 56);">"project"</span><span>],
</span><span>            additional_context=input_data[</span><span style="color: rgb(171, 227, 56);">"additional_context"</span><span>]
</span>        )
        response = self.llm(formatted_input)
        generated_context = self._postprocess_context(response)
<span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> generated_context
</span>
<span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">generate_user_story</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">self, input_data</span><span class="hljs-function">):</span><span>
</span><span>        </span><span style="color: rgb(220, 198, 224);">with</span><span> </span><span style="color: rgb(245, 171, 53);">open</span><span>(</span><span style="color: rgb(171, 227, 56);">"prompts/user_story_generation_prompt.txt"</span><span>, </span><span style="color: rgb(171, 227, 56);">"r"</span><span>) </span><span style="color: rgb(220, 198, 224);">as</span><span> file:
</span>            prompt_template = file.read()

        prompt = PromptTemplate(
<span>            input_variables=[</span><span style="color: rgb(171, 227, 56);">"user_requirement"</span><span>, </span><span style="color: rgb(171, 227, 56);">"context"</span><span>],
</span>            template=prompt_template
        )
<span>        formatted_input = prompt.</span><span style="color: rgb(245, 171, 53);">format</span><span>(
</span><span>            user_requirement=input_data[</span><span style="color: rgb(171, 227, 56);">"user_requirement"</span><span>],
</span><span>            context=input_data[</span><span style="color: rgb(171, 227, 56);">"context"</span><span>]
</span>        )
        response = self.llm(formatted_input)
        generated_user_story = self._postprocess_user_story(response)
<span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> generated_user_story
</span>
<span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">_postprocess_context</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">self, response: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">str</span><span class="hljs-function">):</span><span>
</span><span>        </span><span style="color: rgb(212, 208, 171);"># Implement any necessary postprocessing of the generated context</span><span>
</span><span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> response
</span>
<span>    </span><span class="hljs-function" style="color: rgb(220, 198, 224);">def</span><span class="hljs-function"> </span><span class="hljs-function" style="color: rgb(0, 224, 224);">_postprocess_user_story</span><span class="hljs-function">(</span><span class="hljs-function" style="color: rgb(245, 171, 53);">self, response: </span><span class="hljs-function" style="color: rgb(245, 171, 53);">str</span><span class="hljs-function">):</span><span>
</span><span>        </span><span style="color: rgb(212, 208, 171);"># Implement any necessary postprocessing of the generated user story</span><span>
</span><span>        </span><span style="color: rgb(220, 198, 224);">return</span><span> response
</span>
  1. prompts/context_generation_prompt.txt:

basic

Copy

<span>Generate context </span><span style="color: rgb(220, 198, 224);">for</span><span> the user requi</span><span style="color: rgb(212, 208, 171);">rement:</span><span>
</span><span>User Requi</span><span style="color: rgb(212, 208, 171);">rement: {user_requirement}</span><span>
</span>Project: {project}
Additional Context: {additional_context}
  1. prompts/user_story_generation_prompt.txt:

basic

Copy

<span>Generate a user story </span><span style="color: rgb(220, 198, 224);">for</span><span> the user requi</span><span style="color: rgb(212, 208, 171);">rement:</span><span>
</span><span>User Requi</span><span style="color: rgb(212, 208, 171);">rement: {user_requirement}</span><span>
</span>Context: {context}

This refined implementation includes:

  • Separate routes and services for projects, user requirements, context generation, and user story generation.
  • Repositories for data access and persistence.
  • External prompt templates for context generation and user story generation.
  • Dependencies between user requirements using manual updates by a BA (through the dependencies field in the UserRequirement model) and leveraging LLM capabilities (through the generated_context field in the UserRequirement model and the UserStory model).

Remember to implement the necessary repository methods (ProjectRepository, UserRequirementRepository, UserStoryRepository) to interact with your chosen data storage system (e.g., database, file storage) for data persistence.

Also, make sure to handle any additional error cases, implement proper validation, and consider security aspects as needed for your specific use case.