Sweep(slow): make this website cohesive and functional #2

[shadowaxe99]

Checklist

- [X] Modify `src/ai_agents/brand_outreach.py` ✓ https://github.com/shadowaxe99/InfluencerAIAgent/commit/fd3b1ae0c267368f144027d3360708fab50a38fc - [X] Modify `src/ai_agents/pr_media.py` ✓ https://github.com/shadowaxe99/InfluencerAIAgent/commit/de222da7753c0ee214d012d7f88d5c00a99156e4 - [ ] Modify `src/ai_agents/content_management.py` ⋯ - [ ] Modify `src/ai_agents/analyst.py` ▶ - [ ] Modify `src/ai_agents/crm_scheduling.py` ▶ - [ ] Modify `src/ai_agents/legal_advisor.py` ▶ - [ ] Modify `src/ai_agents/profile_management.py` ▶ - [ ] Modify `README 2.md` ▶ - [ ] Create `tests/unit_tests.py` ▶ 

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Actions (click)

• [ ] ↻ Restart Sweep

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Step 1: 🔎 Searching

I found the following snippets in your repository. I will now analyze these snippets and come up with a plan.

Some code snippets I think are relevant in decreasing order of relevance (click to expand). If some file is missing from here, you can mention the path in the ticket description.

https://github.com/shadowaxe99/InfluencerAIAgent/blob/315e753e7b96849c0c034698633ea38af09f8e52/README 2.md#L15-L18 https://github.com/shadowaxe99/InfluencerAIAgent/blob/315e753e7b96849c0c034698633ea38af09f8e52/src/ai_agents/brand_outreach.py#L24-L43 https://github.com/shadowaxe99/InfluencerAIAgent/blob/315e753e7b96849c0c034698633ea38af09f8e52/src/ai_agents/pr_media.py#L99-L129 https://github.com/shadowaxe99/InfluencerAIAgent/blob/315e753e7b96849c0c034698633ea38af09f8e52/src/ai_agents/pr_media.py#L70-L99 https://github.com/shadowaxe99/InfluencerAIAgent/blob/315e753e7b96849c0c034698633ea38af09f8e52/src/ai_agents/brand_outreach.py#L71-L106 https://github.com/shadowaxe99/InfluencerAIAgent/blob/315e753e7b96849c0c034698633ea38af09f8e52/src/ai_agents/content_management.py#L62-L91 https://github.com/shadowaxe99/InfluencerAIAgent/blob/315e753e7b96849c0c034698633ea38af09f8e52/src/ai_agents/analyst.py#L1-L38 https://github.com/shadowaxe99/InfluencerAIAgent/blob/315e753e7b96849c0c034698633ea38af09f8e52/src/ai_agents/crm_scheduling.py#L1-L30 https://github.com/shadowaxe99/InfluencerAIAgent/blob/315e753e7b96849c0c034698633ea38af09f8e52/src/ai_agents/legal_advisor.py#L38-L56 https://github.com/shadowaxe99/InfluencerAIAgent/blob/315e753e7b96849c0c034698633ea38af09f8e52/src/ai_agents/profile_management.py#L74-L113

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Step 2: ⌨️ Coding

• [X] Modify src/ai_agents/brand_outreach.py ✓ https://github.com/shadowaxe99/InfluencerAIAgent/commit/fd3b1ae0c267368f144027d3360708fab50a38fc

  Modify src/ai_agents/brand_outreach.py with contents:
  • Consolidate the documentation for the method manageBrandCollaborations to a single docstring that clearly and concisely explains its purpose, parameters, and returns.
  • Address any missing logic in the method manageBrandCollaborations, such as instantiation and the use of internal variables, to track collaborations.
  • Introduce error handling for collaboration management, making sure it gracefully handles any potential exceptions that may occur.

• [X] Modify src/ai_agents/pr_media.py ✓ https://github.com/shadowaxe99/InfluencerAIAgent/commit/de222da7753c0ee214d012d7f88d5c00a99156e4

  Modify src/ai_agents/pr_media.py with contents:
  • Merge the documentation for creating a press release into a single, clear docstring and ensure consistency in parameter naming and description.
  • Ensure that the createPressRelease method is fully implemented, with adequate error checking and validation of input parameters.
  • Define the required data structure for 'collaboration' and confirm that it is properly used throughout the method.

• [ ] Modify src/ai_agents/content_management.py ⋯

  Modify src/ai_agents/content_management.py with contents:
  • Unify the documentation for the text processing method, removing repetitive docstrings and keeping one that best describes the function.
  • Implement the processText method completely, ensuring it performs tokenization, lemmatization, and stopword removal as described.
  • Add any required dependencies for natural language processing, such as NLTK or spaCy.

• [ ] Modify src/ai_agents/analyst.py ▶

  Modify src/ai_agents/analyst.py with contents:
  • Verify the complete functionality of the AnalystAgent class, confirming that all data processing, model training, and prediction tasks are accurately represented and cover potential edge cases.
  • Confirm the appropriate handling of data structures required for machine learning operations with pandas and sklearn.
  • Include comments describing the purpose of each method and the steps within for clearer code comprehension.

• [ ] Modify src/ai_agents/crm_scheduling.py ▶

  Modify src/ai_agents/crm_scheduling.py with contents:
  • Complete the functionality for managing contacts and scheduling appointments, ensuring integration with the MongoDB backend.
  • Provide robust error handling for database operations and check for any potential timezone issues when dealing with datetimes.
  • Add logic for the management of the appointmentSchedule list, such as removal and addition according to business logic.

• [ ] Modify src/ai_agents/legal_advisor.py ▶

  Modify src/ai_agents/legal_advisor.py with contents:
  • Streamline the documentation for offering legal advice into one comprehensive docstring.
  • Include logic for retrieving legal advice based on the user's activities ensuring the lookup logic aligns with the application's requirements.
  • Insert appropriate exception handling to deal with cases where legal advice is not found or invalid user IDs.

• [ ] Modify src/ai_agents/profile_management.py ▶

  Modify src/ai_agents/profile_management.py with contents:
  • Simplify and consolidate the documentation for retrieving user profiles into a single docstring.
  • Check that the getProfile method properly retrieves user information and considers privacy concerns and data security.
  • Ensure that the profile information is used consistently across the platform, and update any related functions accordingly.

• [ ] Modify README 2.md ▶

  Modify README 2.md with contents:
  • Update the README to accurately reflect the completed user stories and provide clear instructions on using the platform to leverage AI for influencer marketing strategies.
  • Add any missing sections to the README, such as a 'Getting Started' guide, installation instructions, or platform features.

• [ ] Create tests/unit_tests.py ▶

  Create tests/unit_tests.py with contents:
  • Create a comprehensive suite of unit tests covering the functionality of the entire platform, including brand-outreach, PR media, content management, analysis, CRM scheduling, legal advising, and profile management.
  • Include tests that simulate user interactions with the system to ensure system usability aligns with the user stories.
  • Craft test cases that cover edge cases, error scenarios, and typical use cases, taking into account the range of possible inputs and system states.
  • For each test, provide clear descriptions, setup, execution steps, and assertions to correctly validate the functionality being tested.

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Step 3: 🔁 Code Review

Working on it...

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[shadowaxe99]

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