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fix(tasks): apply Black formatting to extract_metadata_with_gpt.py and rotate_pdf_pages.py

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Co-authored-by: christianlouis <361235+christianlouis@users.noreply.github.com>
This commit is contained in:
copilot-swe-agent[bot]
2026-02-08 18:21:45 +00:00
parent 7ea933c9e6
commit bb155501b4
2 changed files with 5 additions and 6 deletions
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app/tasks/extract_metadata_with_gpt.py
+4 -4
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@@ -70,10 +70,10 @@ def extract_metadata_with_gpt(self, filename: str, cleaned_text: str, file_id: i
"Extract and return the following fields:\n"
"1. **filename**: Machine-readable filename "
"(YYYY-MM-DD_DescriptiveTitle, use only letters, numbers, periods, and underscores).\n"
"2. **empfaenger**: The recipient, or \"Unknown\" if not found.\n"
"3. **absender**: The sender, or \"Unknown\" if not found.\n"
'2. **empfaenger**: The recipient, or "Unknown" if not found.\n'
'3. **absender**: The sender, or "Unknown" if not found.\n'
"4. **correspondent**: The entity or company that issued the document "
"(shortest possible name, e.g., \"Amazon\" instead of \"Amazon EU SARL, German branch\").\n"
'(shortest possible name, e.g., "Amazon" instead of "Amazon EU SARL, German branch").\n'
"5. **kommunikationsart**: One of [Behoerdlicher_Brief, Rechnung, Kontoauszug, Vertrag, "
"Quittung, Privater_Brief, Einladung, Gewerbliche_Korrespondenz, Newsletter, Werbung, Sonstiges].\n"
"6. **kommunikationskategorie**: One of [Amtliche_Postbehoerdliche_Dokumente, "
@@ -81,7 +81,7 @@ def extract_metadata_with_gpt(self, filename: str, cleaned_text: str, file_id: i
"Private_Korrespondenz, Sonstige_Informationen].\n"
"7. **document_type**: Precise classification (e.g., Invoice, Contract, Information, Unknown).\n"
"8. **tags**: A list of up to 4 relevant thematic keywords.\n"
"9. **language**: Detected document language (ISO 639-1 code, e.g., \"de\" or \"en\").\n"
'9. **language**: Detected document language (ISO 639-1 code, e.g., "de" or "en").\n'
"10. **title**: A human-readable title summarizing the document content.\n"
"11. **confidence_score**: A numeric value (0-100) indicating the confidence level "
"of the extracted metadata.\n"
app/tasks/rotate_pdf_pages.py
+1 -2
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@@ -104,8 +104,7 @@ def rotate_pdf_pages(filename: str, extracted_text: str, rotation_data=None, fil
# PyPDF2 uses clockwise rotation in 90-degree increments
page.rotate(rotation_angle)
logger.info(
f"Page {page_idx+1} rotated by {rotation_angle}° "
f"(from detected {detected_angle}°)"
f"Page {page_idx+1} rotated by {rotation_angle}° " f"(from detected {detected_angle}°)"
)
applied_rotations[str(page_idx)] = rotation_angle
else: