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API Error Fixes and Improvements

Issues Resolved

1. API Date Filtering Error

Problem: The Data.gov.in API was returning parsing errors due to unsupported >= operator in date filters.

Error:

parsing_exception: [match] query does not support [>=]

Solution:

  • Removed the unsupported filters[Arrival_Date][>=] syntax
  • Implemented client-side filtering for recent data instead of server-side
  • Added fallback mechanism for when date range queries fail

2. Recent Data Implementation

Problem: The API doesn't support date range queries, making "recent data" filtering impossible at the API level.

Solution:

  • Fetch all available data from the API
  • Apply client-side filtering for the last 7 days
  • Implemented efficient date parsing and filtering logic

3. Enhanced Error Handling

Problem: API errors were not handled gracefully, causing the application to fail completely.

Solution:

  • Added retry mechanism for parsing errors
  • Implemented fallback to simpler API requests when complex filters fail
  • Added comprehensive error logging for debugging

4. Chennai/Tamil Nadu Data Enhancement

Problem: Limited Chennai market data availability.

Solution:

  • Enhanced MANDI_LOCATIONS with more Tamil Nadu markets including:
    • Koyambedu Market (Chennai's main wholesale market)
    • Multiple districts across Tamil Nadu
    • Added debug function to analyze available data

Technical Changes

Modified fetchMandiPrices Function

// Before: Unsupported API syntax
params.append('filters[Arrival_Date][>=]', recentDate);

// After: Client-side filtering
if (filters.onlyRecentData !== false && !filters.date) {
  // Fetch all data and filter on client side
  const sevenDaysAgo = new Date();
  sevenDaysAgo.setDate(sevenDaysAgo.getDate() - 7);
  
  transformedData = transformedData.filter(item => {
    const itemDate = new Date(item.arrival_date);
    return itemDate >= sevenDaysAgo;
  });
}

Added Retry Logic

// Retry with simpler parameters if complex query fails
if (error.message.includes('parsing_exception')) {
  const simpleParams = new URLSearchParams({
    'api-key': API_KEY,
    format: 'json',
    limit: filters.limit.toString(),
  });
  // Retry with minimal filters only
}

Enhanced Market Data

  • Added 10+ Tamil Nadu markets to MANDI_LOCATIONS
  • Included major markets like Koyambedu, Salem, Coimbatore
  • Added debug function to analyze API data structure

API Behavior Notes

Supported Filters

filters[State] - Works correctly ✅ filters[District] - Works correctly
filters[Commodity] - Works correctly ✅ filters[Arrival_Date] - Works for exact dates only

Unsupported Operations

filters[Arrival_Date][>=] - Date range operators ❌ filters[Arrival_Date][<=] - Date range operators ❌ Complex nested filters

Recommended Usage

  1. Use exact date filters when possible
  2. Implement client-side filtering for date ranges
  3. Keep API queries simple to avoid parsing errors
  4. Use retry logic for robustness

Testing

The fixes ensure that:

  • No more parsing exception errors
  • Recent data filtering works via client-side logic
  • Fallback mechanisms prevent complete failures
  • Enhanced Tamil Nadu market coverage

Performance Considerations

  • Client-side filtering may increase data transfer
  • Consider implementing pagination for large datasets
  • Cache recent API responses to reduce repeated calls
  • Use specific filters (state, commodity) to limit data volume

Future Improvements

  1. Implement proper caching mechanism
  2. Add API response optimization
  3. Consider alternative data sources for better Chennai coverage
  4. Add data validation and sanitization