Files
nadlan-mcp/nadlan_mcp/govmap/__init__.py
T
Nitzan Pomerantz 7757694077 Phase 3: Complete govmap package extraction (step 2/3)
- Created market_analysis.py with market analysis functions:
  - parse_deal_dates() - Date parsing and filtering helper
  - calculate_market_activity_score() - Activity metrics
  - analyze_investment_potential() - Investment analysis
  - get_market_liquidity() - Liquidity metrics

- Created client.py with GovmapClient class:
  - Core API methods (autocomplete, get deals, etc.)
  - Validation methods delegating to validators module
  - Utility methods delegating to utils module
  - Filtering, statistics, and analysis methods delegating to respective modules

- Updated govmap/__init__.py to export GovmapClient

All modules maintain backward compatibility through delegation pattern.
Next: Delete old govmap.py and update imports.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-25 13:18:19 +03:00

67 lines
1.8 KiB
Python

"""
Govmap package - Israeli government real estate data API client.
This package provides a modular interface to the Govmap API for querying
Israeli real estate deals, market trends, and property information.
Public API:
- GovmapClient: Main API client class (to be added from client.py)
- filter_deals_by_criteria: Filter deals by various criteria
- calculate_deal_statistics: Calculate statistical aggregations
- calculate_market_activity_score: Market activity and trend metrics
- analyze_investment_potential: Investment analysis and price trends
- get_market_liquidity: Market liquidity and velocity metrics
"""
# Filter functions
from .filters import filter_deals_by_criteria
# Statistics functions
from .statistics import calculate_deal_statistics, calculate_std_dev
# Market analysis functions
from .market_analysis import (
calculate_market_activity_score,
analyze_investment_potential,
get_market_liquidity,
parse_deal_dates,
)
# Utility functions
from .utils import calculate_distance, is_same_building, extract_floor_number
# Validation functions
from .validators import (
validate_address,
validate_coordinates,
validate_positive_int,
validate_deal_type,
)
# Main API client
from .client import GovmapClient
__all__ = [
# Main client class
"GovmapClient",
# Filtering
"filter_deals_by_criteria",
# Statistics
"calculate_deal_statistics",
"calculate_std_dev",
# Market analysis
"calculate_market_activity_score",
"analyze_investment_potential",
"get_market_liquidity",
"parse_deal_dates",
# Utilities
"calculate_distance",
"is_same_building",
"extract_floor_number",
# Validation
"validate_address",
"validate_coordinates",
"validate_positive_int",
"validate_deal_type",
]