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Added response time + highlights + summary to search step #143

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merged 2 commits into from
Dec 6, 2024

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shivsak
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@shivsak shivsak commented Dec 6, 2024

Summary by CodeRabbit

  • New Features

    • Enhanced API response with a new metadata field that includes response_time for better performance insights.
    • Expanded request body structure to include highlights and summary for improved data handling.
  • Bug Fixes

    • Improved error handling to consistently include metadata in both successful and error responses, enhancing feedback during failures.
  • Chores

    • Updated project version to 1.6.20 and modified dependencies for improved compatibility and functionality.

@shivsak shivsak requested a review from Akhilathina December 6, 2024 01:29
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coderabbitai bot commented Dec 6, 2024

Walkthrough

The changes made in the athina/steps/search.py file focus on enhancing the Search class's error handling and response structure for API calls. Modifications include the introduction of a start_time variable to track API call duration, which populates a new metadata field in the response. The request body has been expanded to include a structured contents key. Additionally, error handling has been refined to consistently include the metadata field in all responses, including errors, while maintaining existing retry logic for timeouts.

Changes

File Change Summary
athina/steps/search.py - Enhanced error handling and response structure in the Search class.
- Added start_time to track API call duration and populate metadata field in responses.
- Expanded request body to include contents key with highlights and summary sub-keys.
- Ensured metadata is included in all return statements, including error responses.
pyproject.toml - Updated project version from 1.6.19 to 1.6.20.
- Updated langchain-openai dependency from ^0.0.8 to ^0.1.1.
- Modified versioning for pydantic, pydantic-settings, and pydantic_core to caret (^) versioning.
- Added new dependency e2b-code-interpreter with version ^1.0.2.

Possibly related PRs

  • Added search step #132: The changes in the main PR enhance the existing Search class in athina/steps/search.py, which was introduced in this PR, indicating a direct relationship in terms of modifications to the same class and its functionality.

🐇 In the meadow, where bunnies play,
A new Search blooms bright today.
With metadata to guide our way,
API calls now dance and sway.
Highlights and summaries, all in line,
Error handling, oh so fine!
Let's hop along, the code's divine! 🌼


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Reviewing files that changed from the base of the PR and between ce1f54c and 16ac896.

⛔ Files ignored due to path filters (1)
  • poetry.lock is excluded by !**/*.lock
📒 Files selected for processing (1)
  • pyproject.toml (3 hunks)
🔇 Additional comments (3)
pyproject.toml (3)

28-30: LGTM! Improved dependency versioning

The change to use caret versioning (^) for pydantic packages is a good practice, allowing for compatible minor updates while maintaining major version stability.


42-42: Verify the usage of new e2b-code-interpreter dependency

The addition of e2b-code-interpreter suggests new code interpretation capabilities. Let's verify its intended usage.

✅ Verification successful

The e2b-code-interpreter dependency is properly integrated and used

The dependency is correctly used in athina/steps/code_execution_v2.py for secure code execution in sandboxed environments. The implementation:

  • Imports and uses the Sandbox class from e2b_code_interpreter
  • Provides both local and E2B sandbox execution modes
  • Includes proper error handling and timeout controls
  • Manages sandbox lifecycle (creation, connection, execution)
  • Handles variable serialization and command execution
🏁 Scripts executed

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#!/bin/bash
# Description: Check for the usage of e2b-code-interpreter in the codebase

# Look for imports and usage
rg "from e2b" || rg "import e2b"

# Check if there are any new files related to code interpretation
fd -e py | xargs rg "code.*interpret"

Length of output: 205


Script:

#!/bin/bash
# Let's check the implementation details of code_execution_v2.py to understand how e2b-code-interpreter is used
cat athina/steps/code_execution_v2.py

Length of output: 12328


3-3: Verify compatibility with the updated langchain-openai version

The version bump (1.6.19 -> 1.6.20) and significant update to langchain-openai (0.0.8 -> 0.1.1) warrant verification of compatibility.

Also applies to: 21-21

✅ Verification successful

Let's examine the usage of langchain_openai in the identified file to understand the potential impact.


The langchain-openai update (0.0.8 -> 0.1.1) appears safe to proceed

The code uses only stable ChatOpenAI and AzureChatOpenAI classes from langchain-openai, and the changelog shows no breaking changes in the core functionality of these classes between versions. The usage is limited to a single file (ragas_evaluator.py) where it's used for model initialization with basic parameters that have remained consistent across versions.

🏁 Scripts executed

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#!/bin/bash
# Description: Check for breaking changes in langchain-openai

# Check the changelog or release notes
curl -s https://api.github.com/repos/langchain-ai/langchain/releases | jq '.[].body' | grep -i "langchain-openai"

# Look for imports and usage patterns that might be affected
rg -l "from langchain_openai" || rg -l "import langchain_openai"

Length of output: 1335


Script:

#!/bin/bash
# Check the specific usage of langchain_openai in the file
cat athina/evals/ragas/ragas_evaluator.py

# Also check for any test files that might verify this functionality
fd "test.*ragas.*" --type f

Length of output: 4267


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@shivsak shivsak requested a review from vivek-athina December 6, 2024 01:30
vivek-athina
vivek-athina previously approved these changes Dec 6, 2024
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Actionable comments posted: 0

🧹 Outside diff range and nitpick comments (3)
athina/steps/search.py (3)

75-80: Consider adding query validation

While the structure is correct per API requirements, consider adding validation for the query parameter to ensure it meets any API constraints (length, format, etc.).

class Search(Step):
    @property
+   def is_valid_query(self) -> bool:
+       return bool(self.query and len(self.query.strip()) > 0)
+
    def execute(self, input_data: Any) -> Union[Dict[str, Any], None]:
+       if not self.is_valid_query:
+           return {
+               "status": "error",
+               "data": "Invalid query: Query cannot be empty",
+               "metadata": {
+                   "response_time": 0
+               }
+           }

Line range hint 131-140: Consider exponential backoff for retries

The current retry mechanism uses a fixed 2-second delay. Consider implementing exponential backoff for more robust retry handling.

            except requests.Timeout:
                if attempt < retries - 1:
-                   time.sleep(2)
+                   time.sleep((2 ** attempt) * 1.5)  # exponential backoff with jitter
                    continue

93-96: Consider adding rate limiting protection

The API calls could benefit from rate limiting protection to prevent accidental API key exhaustion and potential costs.

Consider implementing a rate limiter decorator:

from functools import wraps
import time

def rate_limit(calls: int, period: float):
    """Limit to `calls` calls per `period` seconds."""
    min_interval = period / calls
    last_reset = time.time()
    calls_made = 0

    def decorator(func):
        @wraps(func)
        def wrapper(*args, **kwargs):
            nonlocal last_reset, calls_made
            now = time.time()
            
            # Reset counter if period has elapsed
            if now - last_reset > period:
                calls_made = 0
                last_reset = now
            
            # Enforce rate limit
            if calls_made >= calls:
                sleep_time = period - (now - last_reset)
                if sleep_time > 0:
                    time.sleep(sleep_time)
                calls_made = 0
                last_reset = time.time()
            
            calls_made += 1
            return func(*args, **kwargs)
        return wrapper
    return decorator
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📒 Files selected for processing (1)
  • athina/steps/search.py (5 hunks)
🔇 Additional comments (3)
athina/steps/search.py (3)

12-15: LGTM! Clean implementation of prepare_input_data

The dict comprehension implementation is concise and correctly handles the conversion of nested data structures.


51-52: LGTM! Well-structured response time tracking

The implementation consistently tracks and reports response time in milliseconds across all response paths.

Also applies to: 117-119


61-63: Verify PreserveUndefined implementation

The Jinja2 environment configuration looks good, but let's verify the PreserveUndefined implementation.

✅ Verification successful

PreserveUndefined implementation is correct and properly integrated

The implementation is verified:

  • PreserveUndefined correctly inherits from Jinja2's Undefined class
  • It's properly imported from jinja_helper in search.py
  • The implementation preserves undefined variables by wrapping them in curly braces
  • No duplicate implementations exist in the codebase
🏁 Scripts executed

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Script:

#!/bin/bash
# Check PreserveUndefined implementation
rg -A 5 "class PreserveUndefined" athina/helpers/jinja_helper.py

Length of output: 172


Script:

#!/bin/bash
# Check if PreserveUndefined is imported from jinja_helper
rg -A 2 "from.*jinja_helper.*PreserveUndefined" athina/steps/search.py

# Check if there are any other PreserveUndefined implementations
rg -g '!athina/helpers/jinja_helper.py' "class PreserveUndefined"

# Check if Undefined is properly imported in jinja_helper
rg "from.*jinja2.*Undefined" athina/helpers/jinja_helper.py

Length of output: 291

@vivek-athina vivek-athina merged commit 25c2903 into main Dec 6, 2024
@coderabbitai coderabbitai bot mentioned this pull request Jan 31, 2025
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