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import os |
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from typing import List, Optional |
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from cannlytics.data.cache import Bogart |
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from cannlytics.data.coas import CoADoc |
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def get_pdf_files( |
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pdf_dir, |
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min_file_size: Optional[int] = 21_000, |
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) -> list: |
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"""Get all of the PDFs in the nested directory.""" |
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pdfs = [] |
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for root, _, files in os.walk(pdf_dir): |
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for file in files: |
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if file.endswith('.pdf'): |
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file_path = os.path.join(root, file) |
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file_size = os.path.getsize(file_path) |
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if file_size >= min_file_size: |
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pdfs.append(file_path) |
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return pdfs |
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def parse_coa_pdfs( |
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pdfs: List[str], |
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parser: Optional[CoADoc] = None, |
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cache: Optional[Bogart] = None, |
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reverse: Optional[bool] = False, |
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verbose: Optional[bool] = True, |
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key: Optional[str] = 'coa_pdf', |
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) -> list: |
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"""Parse corresponding COAs from a DataFrame in a PDF directory.""" |
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all_results = [] |
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if parser is None: parser = CoADoc() |
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if verbose: print(f'Parsing {len(pdfs)} PDFs...') |
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if reverse: pdfs = pdfs[::-1] |
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for pdf in pdfs: |
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if not os.path.exists(pdf): |
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if verbose: print(f'PDF not found: {pdf}') |
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continue |
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pdf_hash = cache.hash_file(pdf) |
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if cache is not None: |
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if cache.get(pdf_hash): |
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if verbose: print('Cached:', pdf) |
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all_results.append(cache.get(pdf_hash)) |
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continue |
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try: |
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coa_data = parser.parse_pdf(pdf, verbose=verbose) |
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if isinstance(coa_data, list): coa_data = coa_data[0] |
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coa_data[key] = os.path.basename(pdf) |
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all_results.append(coa_data) |
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if cache is not None: cache.set(pdf_hash, coa_data) |
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if verbose: print(f'Parsed PDF: {pdf}') |
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except Exception as e: |
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parser.quit() |
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if verbose: |
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print(f'Failed to parse PDF: {pdf}') |
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print(e) |
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return all_results |
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