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Bump PMAT, prophet, and remove dead code #550
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WalkthroughThis pull request involves the deletion of several files related to AI models within the Changes
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📜 Recent review detailsConfiguration used: CodeRabbit UI ⛔ Files ignored due to path filters (2)
📒 Files selected for processing (3)
🔇 Additional comments (6)prediction_market_agent/agents/think_thoroughly_agent/deploy.py (2)
The rename from
The rename from ✅ Verification successfulParameter rename is consistent across the codebase The search results show that
There are no remaining instances of 🏁 Scripts executedThe following scripts were executed for the analysis: Script: #!/bin/bash
# Description: Check for any remaining instances of 'timeout' parameter in deploy_local calls
# and verify the consistency of 'run_time' parameter usage
# Search for any remaining timeout parameters in deploy_local calls
ast-grep --pattern 'deploy_local($$$timeout$$$)'
# Search for the new run_time parameter usage for consistency
ast-grep --pattern 'deploy_local($$$run_time$$$)'
Length of output: 102 Script: #!/bin/bash
# Let's try a broader search to find all occurrences of deploy_local function calls
# and their parameter patterns
# Search for deploy_local function definition and usages
rg "deploy_local" -A 5 -B 5
# Also search for files containing both timeout and run_time to catch any rename patterns
rg -l "timeout.*run_time|run_time.*timeout"
Length of output: 1546 prediction_market_agent/agents/social_media_agent/deploy.py (2)
The change from Line range hint While this class still uses GPT-4 for social media text generation, let's verify that the removal of AI model files ( ✅ Verification successfulLet me check the implementation of these functions to fully verify the impact. No impact from AI models removal - class uses Autogen for LLM interactions The 🏁 Scripts executedThe following scripts were executed for the analysis: Script: #!/bin/bash
# Description: Check for any dependencies on removed AI model files
# Check for any remaining imports or usage of removed AI models
rg -l "abstract_ai_models|llama_ai_models|openai_ai_models"
# Check for any references to Message class or AI model abstractions
ast-grep --pattern 'from prediction_market_agent.ai_models.$_ import $_'
# Check the build_social_media_text and build_reply_tweet implementations
rg -A 10 "def build_social_media_text|def build_reply_tweet"
Length of output: 2474 Script: #!/bin/bash
# Get the full implementation of build_social_media_text and build_reply_tweet
cat prediction_market_agent/agents/social_media_agent/social_agent.py
Length of output: 7189 scripts/agent_app.py (2)
The rename from Line range hint The AI summary mentions removal of AI model files, but this file still imports and uses various AI model agents. This might indicate that either:
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Actionable comments posted: 0
🧹 Outside diff range and nitpick comments (1)
prediction_market_agent/tools/web_scrape/markdown.py (1)
25-25
: LGTM! Good optimization of the caching strategy.The change to ignore the timeout parameter in the cache key is a good optimization. Since timeout is an operational parameter that doesn't affect the response content, different timeout values shouldn't create separate cache entries for the same URL.
This change will:
- Reduce cache fragmentation
- Improve cache hit rates
- Maintain correct caching semantics since timeout doesn't influence the response content
No description provided.