lmiranda
ead6d91a28
Sprint 3 implementation: - Pydantic schemas for TRREB, CMHC, and dimension data validation - SQLAlchemy models with PostGIS geometry for fact and dimension tables - Parser structure (stubs) for TRREB PDF and CMHC CSV processing Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
83 lines
2.6 KiB
Python
83 lines
2.6 KiB
Python
"""TRREB PDF parser for monthly market watch reports.
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This module provides the structure for parsing TRREB (Toronto Regional Real Estate Board)
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monthly Market Watch PDF reports into structured data.
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"""
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from pathlib import Path
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from typing import Any
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from portfolio_app.toronto.schemas import TRREBMonthlyRecord, TRREBMonthlyReport
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class TRREBParser:
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"""Parser for TRREB Market Watch PDF reports.
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TRREB publishes monthly Market Watch reports as PDFs containing:
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- Summary statistics by area (416, 905, Total)
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- District-level breakdowns
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- Year-over-year comparisons
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The parser extracts tabular data from these PDFs and validates
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against the TRREBMonthlyRecord schema.
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"""
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def __init__(self, pdf_path: Path) -> None:
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"""Initialize parser with path to PDF file.
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Args:
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pdf_path: Path to the TRREB Market Watch PDF file.
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"""
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self.pdf_path = pdf_path
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self._validate_path()
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def _validate_path(self) -> None:
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"""Validate that the PDF path exists and is readable."""
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if not self.pdf_path.exists():
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raise FileNotFoundError(f"PDF not found: {self.pdf_path}")
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if not self.pdf_path.suffix.lower() == ".pdf":
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raise ValueError(f"Expected PDF file, got: {self.pdf_path.suffix}")
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def parse(self) -> TRREBMonthlyReport:
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"""Parse the PDF and return structured data.
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Returns:
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TRREBMonthlyReport containing all extracted records.
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Raises:
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NotImplementedError: PDF parsing not yet implemented.
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"""
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raise NotImplementedError(
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"PDF parsing requires pdfplumber/tabula-py. "
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"Implementation pending Sprint 4 data ingestion."
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)
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def _extract_tables(self) -> list[dict[str, Any]]:
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"""Extract raw tables from PDF pages.
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Returns:
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List of dictionaries representing table data.
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"""
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raise NotImplementedError("Table extraction not yet implemented.")
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def _parse_district_table(
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self, table_data: list[dict[str, Any]]
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) -> list[TRREBMonthlyRecord]:
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"""Parse district-level statistics table.
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Args:
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table_data: Raw table data extracted from PDF.
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Returns:
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List of validated TRREBMonthlyRecord objects.
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"""
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raise NotImplementedError("District table parsing not yet implemented.")
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def _infer_report_date(self) -> tuple[int, int]:
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"""Infer report year and month from PDF filename or content.
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Returns:
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Tuple of (year, month).
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"""
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raise NotImplementedError("Date inference not yet implemented.")
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