Text Extraction Done, UI Fixes Done, Extracted Template Layout Saved in DB

This commit is contained in:
2026-07-12 14:24:17 +05:30
parent 3163bb213e
commit 3d6614f408
79 changed files with 3139 additions and 81 deletions

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DB_USER=postgres
DB_PASSWORD=M@tr!x#149@dm!N
DB_HOST=192.168.0.111
DB_PORT=7925
DB_PASSWORD=M@triXPostgr3s@6202
DB_HOST=103.125.129.116
DB_PORT=5432
DB_NAME=ocr
# Mail Configuration (Gmail)

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backend/alembic.ini Normal file
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# A generic, single database configuration.
[alembic]
# path to migration scripts.
# this is typically a path given in POSIX (e.g. forward slashes)
# format, relative to the token %(here)s which refers to the location of this
# ini file
script_location = %(here)s/alembic
# template used to generate migration file names; The default value is %%(rev)s_%%(slug)s
# Uncomment the line below if you want the files to be prepended with date and time
# see https://alembic.sqlalchemy.org/en/latest/tutorial.html#editing-the-ini-file
# for all available tokens
# file_template = %%(year)d_%%(month).2d_%%(day).2d_%%(hour).2d%%(minute).2d-%%(rev)s_%%(slug)s
# Or organize into date-based subdirectories (requires recursive_version_locations = true)
# file_template = %%(year)d/%%(month).2d/%%(day).2d_%%(hour).2d%%(minute).2d_%%(second).2d_%%(rev)s_%%(slug)s
# sys.path path, will be prepended to sys.path if present.
# defaults to the current working directory. for multiple paths, the path separator
# is defined by "path_separator" below.
prepend_sys_path = .
# timezone to use when rendering the date within the migration file
# as well as the filename.
# If specified, requires the tzdata library which can be installed by adding
# `alembic[tz]` to the pip requirements.
# string value is passed to ZoneInfo()
# leave blank for localtime
# timezone =
# max length of characters to apply to the "slug" field
# truncate_slug_length = 40
# set to 'true' to run the environment during
# the 'revision' command, regardless of autogenerate
# revision_environment = false
# set to 'true' to allow .pyc and .pyo files without
# a source .py file to be detected as revisions in the
# versions/ directory
# sourceless = false
# version location specification; This defaults
# to <script_location>/versions. When using multiple version
# directories, initial revisions must be specified with --version-path.
# The path separator used here should be the separator specified by "path_separator"
# below.
# version_locations = %(here)s/bar:%(here)s/bat:%(here)s/alembic/versions
# path_separator; This indicates what character is used to split lists of file
# paths, including version_locations and prepend_sys_path within configparser
# files such as alembic.ini.
# The default rendered in new alembic.ini files is "os", which uses os.pathsep
# to provide os-dependent path splitting.
#
# Note that in order to support legacy alembic.ini files, this default does NOT
# take place if path_separator is not present in alembic.ini. If this
# option is omitted entirely, fallback logic is as follows:
#
# 1. Parsing of the version_locations option falls back to using the legacy
# "version_path_separator" key, which if absent then falls back to the legacy
# behavior of splitting on spaces and/or commas.
# 2. Parsing of the prepend_sys_path option falls back to the legacy
# behavior of splitting on spaces, commas, or colons.
#
# Valid values for path_separator are:
#
# path_separator = :
# path_separator = ;
# path_separator = space
# path_separator = newline
#
# Use os.pathsep. Default configuration used for new projects.
path_separator = os
# set to 'true' to search source files recursively
# in each "version_locations" directory
# new in Alembic version 1.10
# recursive_version_locations = false
# the output encoding used when revision files
# are written from script.py.mako
# output_encoding = utf-8
# database URL. This is consumed by the user-maintained env.py script only.
# other means of configuring database URLs may be customized within the env.py
# file.
sqlalchemy.url = driver://user:pass@localhost/dbname
[post_write_hooks]
# post_write_hooks defines scripts or Python functions that are run
# on newly generated revision scripts. See the documentation for further
# detail and examples
# format using "black" - use the console_scripts runner, against the "black" entrypoint
# hooks = black
# black.type = console_scripts
# black.entrypoint = black
# black.options = -l 79 REVISION_SCRIPT_FILENAME
# lint with attempts to fix using "ruff" - use the module runner, against the "ruff" module
# hooks = ruff
# ruff.type = module
# ruff.module = ruff
# ruff.options = check --fix REVISION_SCRIPT_FILENAME
# Alternatively, use the exec runner to execute a binary found on your PATH
# hooks = ruff
# ruff.type = exec
# ruff.executable = ruff
# ruff.options = check --fix REVISION_SCRIPT_FILENAME
# Logging configuration. This is also consumed by the user-maintained
# env.py script only.
[loggers]
keys = root,sqlalchemy,alembic
[handlers]
keys = console
[formatters]
keys = generic
[logger_root]
level = WARNING
handlers = console
qualname =
[logger_sqlalchemy]
level = WARNING
handlers =
qualname = sqlalchemy.engine
[logger_alembic]
level = INFO
handlers =
qualname = alembic
[handler_console]
class = StreamHandler
args = (sys.stderr,)
level = NOTSET
formatter = generic
[formatter_generic]
format = %(levelname)-5.5s [%(name)s] %(message)s
datefmt = %H:%M:%S

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backend/alembic/README Normal file
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Generic single-database configuration.

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backend/alembic/env.py Normal file
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from logging.config import fileConfig
from sqlalchemy import engine_from_config
from sqlalchemy import pool
from alembic import context
# this is the Alembic Config object, which provides
# access to the values within the .ini file in use.
config = context.config
# Interpret the config file for Python logging.
# This line sets up loggers basically.
if config.config_file_name is not None:
fileConfig(config.config_file_name)
# add your model's MetaData object here
# for 'autogenerate' support
import os
import sys
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from database import Base, DATABASE_URL
import models.template_models
target_metadata = Base.metadata
config.set_main_option("sqlalchemy.url", DATABASE_URL.replace("%", "%%"))
# other values from the config, defined by the needs of env.py,
# can be acquired:
# my_important_option = config.get_main_option("my_important_option")
# ... etc.
def run_migrations_offline() -> None:
"""Run migrations in 'offline' mode.
This configures the context with just a URL
and not an Engine, though an Engine is acceptable
here as well. By skipping the Engine creation
we don't even need a DBAPI to be available.
Calls to context.execute() here emit the given string to the
script output.
"""
url = config.get_main_option("sqlalchemy.url")
context.configure(
url=url,
target_metadata=target_metadata,
literal_binds=True,
dialect_opts={"paramstyle": "named"},
)
with context.begin_transaction():
context.run_migrations()
def run_migrations_online() -> None:
"""Run migrations in 'online' mode.
In this scenario we need to create an Engine
and associate a connection with the context.
"""
connectable = engine_from_config(
config.get_section(config.config_ini_section, {}),
prefix="sqlalchemy.",
poolclass=pool.NullPool,
)
with connectable.connect() as connection:
context.configure(
connection=connection,
target_metadata=target_metadata,
include_schemas=True,
version_table_schema='public'
)
with context.begin_transaction():
context.run_migrations()
if context.is_offline_mode():
run_migrations_offline()
else:
run_migrations_online()

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"""${message}
Revision ID: ${up_revision}
Revises: ${down_revision | comma,n}
Create Date: ${create_date}
"""
from typing import Sequence, Union
from alembic import op
import sqlalchemy as sa
${imports if imports else ""}
# revision identifiers, used by Alembic.
revision: str = ${repr(up_revision)}
down_revision: Union[str, Sequence[str], None] = ${repr(down_revision)}
branch_labels: Union[str, Sequence[str], None] = ${repr(branch_labels)}
depends_on: Union[str, Sequence[str], None] = ${repr(depends_on)}
def upgrade() -> None:
"""Upgrade schema."""
${upgrades if upgrades else "pass"}
def downgrade() -> None:
"""Downgrade schema."""
${downgrades if downgrades else "pass"}

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"""Add templates schema
Revision ID: 91b2545f5a30
Revises:
Create Date: 2026-06-01 16:28:57.181829
"""
from typing import Sequence, Union
from alembic import op
import sqlalchemy as sa
import os
# revision identifiers, used by Alembic.
revision: str = '91b2545f5a30'
down_revision: Union[str, None] = None
branch_labels: Union[str, Sequence[str], None] = None
depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None:
# Read and execute the SQL schema script
sql_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))), 'sql', '01_templates_schema.sql')
with open(sql_path, 'r') as f:
sql = f.read()
op.execute(sql)
def downgrade() -> None:
op.execute("DROP SCHEMA IF EXISTS templates CASCADE;")

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backend/api/documents.py Normal file
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import json
from fastapi import APIRouter, Depends, HTTPException, status, UploadFile, File
from sqlalchemy.orm import Session
from typing import List
from database import get_db
from models.template_models import TemplateDocument, DocumentLayout
from schemas.template_schemas import DocumentSchema, DocumentLayoutSchema, TemplateRecognitionResult
from engine.ocr.document_processor import DocumentProcessor
from engine.recognition.template_engine import TemplateRecognitionEngine
router = APIRouter(prefix="/api/documents", tags=["Documents"])
@router.post("/upload", response_model=DocumentSchema, status_code=status.HTTP_201_CREATED)
async def upload_document(file: UploadFile = File(...), db: Session = Depends(get_db)):
# 1. Create document record
content = await file.read()
file_hash = hash(content) # Simple hash for demo
db_doc = TemplateDocument(
document_name=file.filename,
document_type=file.content_type,
file_name=file.filename,
file_hash=str(file_hash),
status="processing"
)
db.add(db_doc)
db.commit()
db.refresh(db_doc)
# 2. Process File (OCR & Layout)
processor = DocumentProcessor(db)
processor.process_file(db_doc.pk_document_id, file.filename, content)
db.refresh(db_doc)
return db_doc
@router.get("/{document_id}", response_model=DocumentSchema)
def get_document(document_id: int, db: Session = Depends(get_db)):
doc = db.query(TemplateDocument).filter(TemplateDocument.pk_document_id == document_id).first()
if not doc:
raise HTTPException(status_code=404, detail="Document not found")
return doc
@router.get("/{document_id}/layout", response_model=List[DocumentLayoutSchema])
def get_document_layout(document_id: int, db: Session = Depends(get_db)):
layouts = db.query(DocumentLayout).filter(DocumentLayout.fk_document_id == document_id).order_by(DocumentLayout.sequence_no).all()
return layouts
@router.post("/{document_id}/recognize", response_model=TemplateRecognitionResult)
def recognize_template(document_id: int, db: Session = Depends(get_db)):
engine = TemplateRecognitionEngine(db)
return engine.recognize_template(document_id)

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backend/api/templates.py Normal file
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from fastapi import APIRouter, Depends, HTTPException, status
from sqlalchemy.orm import Session
from typing import List
from database import get_db
from schemas.template_schemas import (
TemplateCreate, TemplateSchema,
TemplateFieldCreate, TemplateFieldSchema,
TemplateFieldMappingCreate, TemplateFieldMappingSchema
)
from services.template_service import TemplateService
router = APIRouter(prefix="/api/templates", tags=["Templates"])
@router.post("", response_model=TemplateSchema, status_code=status.HTTP_201_CREATED)
def create_template(template_data: TemplateCreate, db: Session = Depends(get_db)):
service = TemplateService(db)
return service.create_template(template_data)
@router.get("", response_model=List[TemplateSchema])
def get_templates(skip: int = 0, limit: int = 100, db: Session = Depends(get_db)):
service = TemplateService(db)
return service.get_all_templates(skip, limit)
@router.get("/{template_id}", response_model=TemplateSchema)
def get_template(template_id: int, db: Session = Depends(get_db)):
service = TemplateService(db)
template = service.get_template(template_id)
if not template:
raise HTTPException(status_code=404, detail="Template not found")
return template
@router.delete("/{template_id}", status_code=status.HTTP_204_NO_CONTENT)
def delete_template(template_id: int, db: Session = Depends(get_db)):
service = TemplateService(db)
if not service.delete_template(template_id):
raise HTTPException(status_code=404, detail="Template not found")
return None
@router.post("/{template_id}/fields", response_model=TemplateFieldSchema, status_code=status.HTTP_201_CREATED)
def add_template_field(template_id: int, field_data: TemplateFieldCreate, db: Session = Depends(get_db)):
service = TemplateService(db)
# Check if template exists
if not service.get_template(template_id):
raise HTTPException(status_code=404, detail="Template not found")
return service.add_template_field(template_id, field_data)
@router.post("/{template_id}/mappings/save", response_model=List[TemplateFieldMappingSchema])
def save_mappings(template_id: int, mappings: List[TemplateFieldMappingCreate], db: Session = Depends(get_db)):
service = TemplateService(db)
if not service.get_template(template_id):
raise HTTPException(status_code=404, detail="Template not found")
return service.save_mapping(template_id, mappings)

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import io
import re
from typing import List, Dict, Any
import numpy as np
import cv2
import pdfplumber
import pytesseract
from PIL import Image
from pdf2image import convert_from_bytes
from sqlalchemy.orm import Session
from models.template_models import DocumentLayout, TemplateDocument
from schemas.template_schemas import DocumentLayoutSchema
class DocumentProcessor:
def __init__(self, db: Session):
self.db = db
def process_file(self, document_id: int, filename: str, file_bytes: bytes) -> List[DocumentLayout]:
document = self.db.query(TemplateDocument).filter(TemplateDocument.pk_document_id == document_id).first()
if not document:
raise ValueError("Document not found")
layouts = []
if filename.lower().endswith('.pdf'):
layouts = self._process_pdf(document_id, file_bytes)
elif filename.lower().endswith(('.png', '.jpg', '.jpeg', '.tiff')):
layouts = self._process_image(document_id, file_bytes)
# Update page count
if layouts:
document.page_count = max([l.page_no for l in layouts])
document.status = "processed"
self.db.commit()
return layouts
def _process_pdf(self, document_id: int, file_bytes: bytes) -> List[DocumentLayout]:
layouts = []
try:
with pdfplumber.open(io.BytesIO(file_bytes)) as pdf:
sequence_no = 1
for page_no, page in enumerate(pdf.pages, start=1):
# Check if it has text
text = page.extract_text()
if text and text.strip():
# Extract words with bounding boxes
words = page.extract_words()
# Group words into blocks using simple proximity heuristics
blocks = self._group_words_to_blocks(words, page.width, page.height)
for block in blocks:
db_layout = DocumentLayout(
fk_document_id=document_id,
page_no=page_no,
text_value=block['text'],
block_type=block['type'],
x_coordinate=block['x0'],
y_coordinate=block['top'],
width=block['x1'] - block['x0'],
height=block['bottom'] - block['top'],
confidence=100.0,
sequence_no=sequence_no
)
self.db.add(db_layout)
layouts.append(db_layout)
sequence_no += 1
else:
# Scanned PDF page -> convert to image and process
# Handled separately to avoid complexity in this mock
pass
except Exception as e:
print(f"Error processing PDF with pdfplumber: {e}")
if not layouts:
# Fallback to image-based processing for scanned PDFs
images = convert_from_bytes(file_bytes, dpi=300)
sequence_no = 1
for page_no, img in enumerate(images, start=1):
img_byte_arr = io.BytesIO()
img.save(img_byte_arr, format='PNG')
page_layouts = self._process_image(document_id, img_byte_arr.getvalue(), page_no=page_no, start_sequence=sequence_no)
layouts.extend(page_layouts)
sequence_no += len(page_layouts)
self.db.commit()
return layouts
def _process_image(self, document_id: int, file_bytes: bytes, page_no: int = 1, start_sequence: int = 1) -> List[DocumentLayout]:
layouts = []
try:
# Decode image
nparr = np.frombuffer(file_bytes, np.uint8)
img = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
# Preprocessing
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# Denoise & Threshold
gray = cv2.medianBlur(gray, 3)
gray = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)[1]
# OCR using PyTesseract with bounding boxes
data = pytesseract.image_to_data(gray, output_type=pytesseract.Output.DICT)
sequence_no = start_sequence
# Grouping words into lines/blocks simplified
height, width = gray.shape
blocks = self._tesseract_data_to_blocks(data, width, height)
for block in blocks:
db_layout = DocumentLayout(
fk_document_id=document_id,
page_no=page_no,
text_value=block['text'],
block_type=block['type'],
x_coordinate=block['x'],
y_coordinate=block['y'],
width=block['w'],
height=block['h'],
confidence=block['conf'],
sequence_no=sequence_no
)
self.db.add(db_layout)
layouts.append(db_layout)
sequence_no += 1
except Exception as e:
print(f"Error processing image with tesseract: {e}")
self.db.commit()
return layouts
def _group_words_to_blocks(self, words: List[Dict], page_width: float, page_height: float) -> List[Dict]:
"""Group nearby words into logical blocks and classify them."""
# Extremely simplified grouping by Y coordinate proximity
blocks = []
if not words:
return blocks
# Sort words by Y then X
words.sort(key=lambda w: (w['top'], w['x0']))
current_block = {
'text': words[0]['text'],
'x0': words[0]['x0'],
'top': words[0]['top'],
'x1': words[0]['x1'],
'bottom': words[0]['bottom']
}
for word in words[1:]:
# If word is roughly on the same line (y diff is small) and close horizontally
if abs(word['top'] - current_block['top']) < 10 and (word['x0'] - current_block['x1']) < 50:
current_block['text'] += ' ' + word['text']
current_block['x1'] = word['x1']
current_block['top'] = min(current_block['top'], word['top'])
current_block['bottom'] = max(current_block['bottom'], word['bottom'])
else:
current_block['type'] = self._classify_block(current_block, page_height)
blocks.append(current_block)
current_block = {
'text': word['text'],
'x0': word['x0'],
'top': word['top'],
'x1': word['x1'],
'bottom': word['bottom']
}
current_block['type'] = self._classify_block(current_block, page_height)
blocks.append(current_block)
return blocks
def _tesseract_data_to_blocks(self, data: Dict, page_width: float, page_height: float) -> List[Dict]:
blocks = []
n_boxes = len(data['text'])
current_line = []
for i in range(n_boxes):
if int(data['conf'][i]) > 10 and data['text'][i].strip():
# We can group by line_num
blocks.append({
'text': data['text'][i],
'x': data['left'][i],
'y': data['top'][i],
'w': data['width'][i],
'h': data['height'][i],
'conf': float(data['conf'][i]),
'type': self._classify_block({'top': data['top'][i], 'text': data['text'][i]}, page_height)
})
return blocks
def _classify_block(self, block: Dict, page_height: float) -> str:
y = block.get('top') or block.get('y') or 0
text = block.get('text', '').lower()
if y < page_height * 0.15:
return "HEADER"
elif y > page_height * 0.85:
return "FOOTER"
if "total" in text:
return "TOTAL"
if "tax" in text or "gst" in text or "vat" in text:
return "TAX"
if re.search(r'\b(vendor|from)\b', text):
return "VENDOR"
if re.search(r'\b(bill to|sold to)\b', text):
return "BILL_TO"
if re.search(r'\b(ship to)\b', text):
return "SHIP_TO"
# Very naive fallback for table check
if re.search(r'\b(qty|rate|amount|price|item)\b', text):
return "TABLE_HEADER"
return "TEXT"

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import hashlib
import json
from typing import List, Dict, Any, Tuple
from sqlalchemy.orm import Session
from models.template_models import Template, TemplateDocument, DocumentLayout, TemplateRecognitionHistory
from schemas.template_schemas import TemplateRecognitionResult
class TemplateRecognitionEngine:
def __init__(self, db: Session):
self.db = db
def generate_fingerprint(self, layouts: List[DocumentLayout]) -> str:
"""
Generate a structural fingerprint based on the document's layout.
We use relative positions of HEADER, VENDOR, TABLE_HEADER blocks.
"""
key_blocks = []
for layout in layouts:
if layout.block_type in ["HEADER", "VENDOR", "TABLE_HEADER", "TOTAL"]:
key_blocks.append({
"type": layout.block_type,
"text": layout.text_value[:50] if layout.text_value else "", # first 50 chars
"rx": round(float(layout.x_coordinate) / 100) if layout.x_coordinate else 0, # relative bucket x
"ry": round(float(layout.y_coordinate) / 100) if layout.y_coordinate else 0 # relative bucket y
})
# Sort top to bottom, left to right
key_blocks.sort(key=lambda b: (b['ry'], b['rx']))
fingerprint_data = json.dumps(key_blocks)
return hashlib.sha256(fingerprint_data.encode('utf-8')).hexdigest()
def recognize_template(self, document_id: int) -> TemplateRecognitionResult:
"""
Matches a document against existing templates using a 4-level weighted score:
Level 1: Vendor Match (40%)
Level 2: Header Similarity (20%)
Level 3: Layout/Fingerprint Similarity (20%)
Level 4: Coordinate Similarity (20%)
Threshold: 85%
"""
layouts = self.db.query(DocumentLayout).filter(DocumentLayout.fk_document_id == document_id).all()
if not layouts:
return TemplateRecognitionResult(templateMatched=False)
doc_fingerprint = self.generate_fingerprint(layouts)
# Extract features for scoring
doc_vendor = self._extract_vendor_name(layouts)
doc_headers = self._extract_headers(layouts)
templates = self.db.query(Template).filter(Template.active_flag == True).all()
best_match = None
highest_score = 0
for template in templates:
score = 0.0
# Level 1: Fingerprint Exact Match (counts for Layout + Vendor + Header if exact)
if template.template_fingerprint == doc_fingerprint:
score += 100.0
else:
# Need to load template sample mapping to compare heuristics
# In a real system, we'd compare against the mapped fields' coordinates
score += self._calculate_heuristic_score(template, doc_vendor, doc_headers, layouts)
if score > highest_score:
highest_score = score
best_match = template
# Store history
if best_match:
history = TemplateRecognitionHistory(
fk_template_id=best_match.pk_template_id,
fk_document_id=document_id,
recognition_score=highest_score,
matched_flag=(highest_score >= 85.0)
)
self.db.add(history)
self.db.commit()
if best_match and highest_score >= 85.0:
extracted_fields = self._auto_map_fields(best_match, layouts)
return TemplateRecognitionResult(
templateMatched=True,
templateId=best_match.pk_template_id,
confidence=highest_score,
extractedFields=extracted_fields
)
return TemplateRecognitionResult(templateMatched=False)
def _extract_vendor_name(self, layouts: List[DocumentLayout]) -> str:
for layout in layouts:
if layout.block_type == "VENDOR":
return layout.text_value.lower()
return ""
def _extract_headers(self, layouts: List[DocumentLayout]) -> List[str]:
headers = []
for layout in layouts:
if layout.block_type == "TABLE_HEADER" and layout.text_value:
headers.append(layout.text_value.lower())
return headers
def _calculate_heuristic_score(self, template: Template, doc_vendor: str, doc_headers: List[str], layouts: List[DocumentLayout]) -> float:
score = 0.0
# This requires the template to have some stored metadata or we check its fields
# E.g., if template has a field "Vendor Name" mapped to a specific text
# 1. Vendor Match (40%)
# For this mockup, we check if the template name matches the vendor
if template.template_name.lower() in doc_vendor or doc_vendor in template.template_name.lower():
score += 40.0
# 2. Header Similarity (20%)
# Check if template fields exist that match doc_headers
field_labels = [f.field_label.lower() for f in template.fields]
header_matches = sum(1 for h in doc_headers if any(h in fl or fl in h for fl in field_labels))
if len(doc_headers) > 0:
score += (header_matches / len(doc_headers)) * 20.0
# 3. Layout / Coordinate Similarity
# We can check the template's previous mappings coordinates against current document
# If coordinates are within a tolerance, we add score
mapping_count = 0
match_count = 0
for mapping in template.mappings:
mapping_count += 1
# Find a layout block in current document that is near mapping coordinates
for layout in layouts:
if layout.page_no == mapping.page_no:
# check distance
if mapping.x_coordinate and mapping.y_coordinate and layout.x_coordinate and layout.y_coordinate:
dx = abs(float(mapping.x_coordinate) - float(layout.x_coordinate))
dy = abs(float(mapping.y_coordinate) - float(layout.y_coordinate))
if dx < 50 and dy < 20: # arbitrary tolerance
match_count += 1
break
if mapping_count > 0:
coord_score = (match_count / mapping_count) * 40.0 # Layout 20% + Coord 20%
score += coord_score
return score
def _auto_map_fields(self, template: Template, layouts: List[DocumentLayout]) -> List[dict]:
extracted = []
for mapping in template.mappings:
# Find closest block in new document
best_block = None
min_dist = float('inf')
for layout in layouts:
if layout.page_no == mapping.page_no:
if mapping.x_coordinate and mapping.y_coordinate and layout.x_coordinate and layout.y_coordinate:
dx = abs(float(mapping.x_coordinate) - float(layout.x_coordinate))
dy = abs(float(mapping.y_coordinate) - float(layout.y_coordinate))
dist = dx**2 + dy**2
if dist < min_dist and dist < 5000: # tolerance squared
min_dist = dist
best_block = layout
if best_block:
extracted.append({
"field_id": mapping.fk_template_field_id,
"field_label": mapping.field.field_label if mapping.field else "",
"value": best_block.text_value,
"confidence": 95.0, # arbitrary high confidence for coordinate match
"layout_id": best_block.pk_document_data_id
})
return extracted

View File

@@ -48,6 +48,10 @@ from database import get_db, Email, Vendor, Document
from scheduler import start_scheduler, stop_scheduler
from mail_service import fetch_and_store_emails
# Import the new routers
from api.templates import router as templates_router
from api.documents import router as documents_router
# Lifespan for Scheduler
@asynccontextmanager
async def lifespan(app: FastAPI):
@@ -59,6 +63,10 @@ async def lifespan(app: FastAPI):
app = FastAPI(lifespan=lifespan)
# Include Routers
app.include_router(templates_router)
app.include_router(documents_router)
# CORS configuration
origins = [
"http://localhost",

View File

@@ -0,0 +1,105 @@
from sqlalchemy import Column, Integer, String, Text, DateTime, Boolean, ForeignKey, Numeric
from sqlalchemy.sql import func
from sqlalchemy.orm import relationship
from database import Base
class TemplateDocument(Base):
__tablename__ = "documents"
__table_args__ = {"schema": "templates"}
pk_document_id = Column(Integer, primary_key=True, index=True)
document_name = Column(String(500))
document_type = Column(String(100))
file_name = Column(String(500))
file_hash = Column(String(500), index=True)
page_count = Column(Integer)
status = Column(String(50))
created_at = Column(DateTime, server_default=func.now())
updated_at = Column(DateTime, server_default=func.now(), onupdate=func.now())
# Relationships
layouts = relationship("DocumentLayout", back_populates="document", cascade="all, delete")
class DocumentLayout(Base):
__tablename__ = "document_layout"
__table_args__ = {"schema": "templates"}
pk_document_data_id = Column(Integer, primary_key=True, index=True)
fk_document_id = Column(Integer, ForeignKey("templates.documents.pk_document_id", ondelete="CASCADE"), nullable=False, index=True)
page_no = Column(Integer, nullable=False, index=True)
text_value = Column(Text)
block_type = Column(String(100))
parent_block_id = Column(Integer, ForeignKey("templates.document_layout.pk_document_data_id", ondelete="SET NULL"))
x_coordinate = Column(Numeric)
y_coordinate = Column(Numeric)
width = Column(Numeric)
height = Column(Numeric)
confidence = Column(Numeric)
sequence_no = Column(Integer)
layout_path = Column(Text)
created_at = Column(DateTime, server_default=func.now())
document = relationship("TemplateDocument", back_populates="layouts")
parent = relationship("DocumentLayout", remote_side=[pk_document_data_id])
mappings = relationship("TemplateFieldMapping", back_populates="document_layout", cascade="all, delete")
class Template(Base):
__tablename__ = "templates"
__table_args__ = {"schema": "templates"}
pk_template_id = Column(Integer, primary_key=True, index=True)
template_name = Column(String(255), nullable=False, index=True)
template_fingerprint = Column(Text)
active_flag = Column(Boolean, default=True)
created_at = Column(DateTime, server_default=func.now())
updated_at = Column(DateTime, server_default=func.now(), onupdate=func.now())
fields = relationship("TemplateField", back_populates="template", cascade="all, delete")
mappings = relationship("TemplateFieldMapping", back_populates="template", cascade="all, delete")
class TemplateField(Base):
__tablename__ = "template_fields"
__table_args__ = {"schema": "templates"}
pk_template_field_id = Column(Integer, primary_key=True, index=True)
fk_template_id = Column(Integer, ForeignKey("templates.templates.pk_template_id", ondelete="CASCADE"), nullable=False, index=True)
field_label = Column(String(255), nullable=False)
field_type = Column(String(100), nullable=False)
display_order = Column(Integer)
required_flag = Column(Boolean, default=False)
created_at = Column(DateTime, server_default=func.now())
template = relationship("Template", back_populates="fields")
mappings = relationship("TemplateFieldMapping", back_populates="field", cascade="all, delete")
class TemplateFieldMapping(Base):
__tablename__ = "template_fields_mapping"
__table_args__ = {"schema": "templates"}
pk_mapping_id = Column(Integer, primary_key=True, index=True)
fk_template_id = Column(Integer, ForeignKey("templates.templates.pk_template_id", ondelete="CASCADE"), nullable=False, index=True)
fk_template_field_id = Column(Integer, ForeignKey("templates.template_fields.pk_template_field_id", ondelete="CASCADE"), nullable=False, index=True)
fk_document_data_id = Column(Integer, ForeignKey("templates.document_layout.pk_document_data_id", ondelete="SET NULL"))
page_no = Column(Integer)
x_coordinate = Column(Numeric)
y_coordinate = Column(Numeric)
width = Column(Numeric)
height = Column(Numeric)
mapping_confidence = Column(Numeric)
layout_path = Column(Text)
created_at = Column(DateTime, server_default=func.now())
template = relationship("Template", back_populates="mappings")
field = relationship("TemplateField", back_populates="mappings")
document_layout = relationship("DocumentLayout", back_populates="mappings")
class TemplateRecognitionHistory(Base):
__tablename__ = "template_recognition_history"
__table_args__ = {"schema": "templates"}
pk_history_id = Column(Integer, primary_key=True, index=True)
fk_template_id = Column(Integer, ForeignKey("templates.templates.pk_template_id", ondelete="CASCADE"), nullable=False)
fk_document_id = Column(Integer, ForeignKey("templates.documents.pk_document_id", ondelete="CASCADE"), nullable=False, index=True)
recognition_score = Column(Numeric)
matched_flag = Column(Boolean)
created_at = Column(DateTime, server_default=func.now())

View File

@@ -0,0 +1,75 @@
from sqlalchemy.orm import Session
from sqlalchemy import desc
from models.template_models import Template, TemplateField, TemplateFieldMapping, TemplateRecognitionHistory
from schemas.template_schemas import TemplateCreate, TemplateFieldCreate, TemplateFieldMappingCreate
class TemplateRepository:
def __init__(self, db: Session):
self.db = db
def get_template(self, template_id: int):
return self.db.query(Template).filter(Template.pk_template_id == template_id).first()
def get_templates(self, skip: int = 0, limit: int = 100):
return self.db.query(Template).offset(skip).limit(limit).all()
def create_template(self, template_data: TemplateCreate):
db_template = Template(template_name=template_data.template_name)
self.db.add(db_template)
self.db.commit()
self.db.refresh(db_template)
# Create fields if provided
for field in template_data.fields:
db_field = TemplateField(
fk_template_id=db_template.pk_template_id,
field_label=field.field_label,
field_type=field.field_type,
display_order=field.display_order,
required_flag=field.required_flag
)
self.db.add(db_field)
self.db.commit()
self.db.refresh(db_template)
return db_template
def add_template_field(self, template_id: int, field_data: TemplateFieldCreate):
db_field = TemplateField(
fk_template_id=template_id,
field_label=field_data.field_label,
field_type=field_data.field_type,
display_order=field_data.display_order,
required_flag=field_data.required_flag
)
self.db.add(db_field)
self.db.commit()
self.db.refresh(db_field)
return db_field
def delete_template(self, template_id: int):
template = self.get_template(template_id)
if template:
self.db.delete(template)
self.db.commit()
return True
return False
def save_mapping(self, template_id: int, mappings: list[TemplateFieldMappingCreate]):
saved_mappings = []
for mapping in mappings:
db_mapping = TemplateFieldMapping(
fk_template_id=template_id,
fk_template_field_id=mapping.fk_template_field_id,
fk_document_data_id=mapping.fk_document_data_id,
page_no=mapping.page_no,
x_coordinate=mapping.x_coordinate,
y_coordinate=mapping.y_coordinate,
width=mapping.width,
height=mapping.height,
mapping_confidence=mapping.mapping_confidence
)
self.db.add(db_mapping)
saved_mappings.append(db_mapping)
self.db.commit()
return saved_mappings

View File

@@ -11,3 +11,7 @@ apscheduler
python-dotenv
pdfplumber
ollama
numpy
opencv-python-headless
pdf2image

View File

@@ -0,0 +1,80 @@
from pydantic import BaseModel, ConfigDict
from typing import List, Optional
from datetime import datetime
# Common
class BaseSchema(BaseModel):
model_config = ConfigDict(from_attributes=True)
# Document
class DocumentLayoutSchema(BaseSchema):
pk_document_data_id: int
fk_document_id: int
page_no: int
text_value: Optional[str]
block_type: Optional[str]
parent_block_id: Optional[int]
x_coordinate: Optional[float]
y_coordinate: Optional[float]
width: Optional[float]
height: Optional[float]
confidence: Optional[float]
sequence_no: Optional[int]
class DocumentSchema(BaseSchema):
pk_document_id: int
document_name: Optional[str]
document_type: Optional[str]
file_name: Optional[str]
page_count: Optional[int]
status: Optional[str]
created_at: datetime
layouts: List[DocumentLayoutSchema] = []
# Template Field
class TemplateFieldCreate(BaseSchema):
field_label: str
field_type: str
display_order: Optional[int] = 0
required_flag: Optional[bool] = False
class TemplateFieldSchema(TemplateFieldCreate):
pk_template_field_id: int
fk_template_id: int
created_at: datetime
# Template Field Mapping
class TemplateFieldMappingCreate(BaseSchema):
fk_template_field_id: int
fk_document_data_id: Optional[int] = None
page_no: Optional[int] = None
x_coordinate: Optional[float] = None
y_coordinate: Optional[float] = None
width: Optional[float] = None
height: Optional[float] = None
mapping_confidence: Optional[float] = None
class TemplateFieldMappingSchema(TemplateFieldMappingCreate):
pk_mapping_id: int
fk_template_id: int
created_at: datetime
# Template
class TemplateCreate(BaseSchema):
template_name: str
fields: Optional[List[TemplateFieldCreate]] = []
class TemplateSchema(BaseSchema):
pk_template_id: int
template_name: str
template_fingerprint: Optional[str] = None
active_flag: bool
created_at: datetime
fields: List[TemplateFieldSchema] = []
mappings: List[TemplateFieldMappingSchema] = []
class TemplateRecognitionResult(BaseSchema):
templateMatched: bool
templateId: Optional[int] = None
confidence: Optional[float] = None
extractedFields: List[dict] = []

View File

@@ -0,0 +1,25 @@
from sqlalchemy.orm import Session
from schemas.template_schemas import TemplateCreate, TemplateFieldCreate, TemplateFieldMappingCreate
from repositories.template_repository import TemplateRepository
class TemplateService:
def __init__(self, db: Session):
self.repository = TemplateRepository(db)
def get_template(self, template_id: int):
return self.repository.get_template(template_id)
def get_all_templates(self, skip: int = 0, limit: int = 100):
return self.repository.get_templates(skip, limit)
def create_template(self, template_data: TemplateCreate):
return self.repository.create_template(template_data)
def add_template_field(self, template_id: int, field_data: TemplateFieldCreate):
return self.repository.add_template_field(template_id, field_data)
def delete_template(self, template_id: int):
return self.repository.delete_template(template_id)
def save_mapping(self, template_id: int, mappings: list[TemplateFieldMappingCreate]):
return self.repository.save_mapping(template_id, mappings)

View File

@@ -0,0 +1,107 @@
-- Schema for Template Engine
CREATE SCHEMA IF NOT EXISTS templates;
-- 1. documents table
CREATE TABLE IF NOT EXISTS templates.documents (
pk_document_id BIGSERIAL PRIMARY KEY,
document_name VARCHAR(500),
document_type VARCHAR(100),
file_name VARCHAR(500),
file_hash VARCHAR(500),
page_count INTEGER,
status VARCHAR(50),
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
-- Index for quick lookups
CREATE INDEX idx_documents_hash ON templates.documents(file_hash);
-- 2. document_layout table
CREATE TABLE IF NOT EXISTS templates.document_layout (
pk_document_data_id BIGSERIAL PRIMARY KEY,
fk_document_id BIGINT NOT NULL,
page_no INTEGER NOT NULL,
text_value TEXT,
block_type VARCHAR(100),
parent_block_id BIGINT,
x_coordinate NUMERIC,
y_coordinate NUMERIC,
width NUMERIC,
height NUMERIC,
confidence NUMERIC,
sequence_no INTEGER,
layout_path TEXT,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
CONSTRAINT fk_dl_document FOREIGN KEY (fk_document_id) REFERENCES templates.documents(pk_document_id) ON DELETE CASCADE,
CONSTRAINT fk_dl_parent FOREIGN KEY (parent_block_id) REFERENCES templates.document_layout(pk_document_data_id) ON DELETE SET NULL
);
CREATE INDEX idx_doc_layout_doc_id ON templates.document_layout(fk_document_id);
CREATE INDEX idx_doc_layout_page ON templates.document_layout(page_no);
-- 3. templates table
CREATE TABLE IF NOT EXISTS templates.templates (
pk_template_id BIGSERIAL PRIMARY KEY,
template_name VARCHAR(255) NOT NULL,
template_fingerprint TEXT,
active_flag BOOLEAN DEFAULT TRUE,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
CREATE INDEX idx_templates_name ON templates.templates(template_name);
-- 4. template_fields table
CREATE TABLE IF NOT EXISTS templates.template_fields (
pk_template_field_id BIGSERIAL PRIMARY KEY,
fk_template_id BIGINT NOT NULL,
field_label VARCHAR(255) NOT NULL,
field_type VARCHAR(100) NOT NULL,
display_order INTEGER,
required_flag BOOLEAN DEFAULT FALSE,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
CONSTRAINT fk_tf_template FOREIGN KEY (fk_template_id) REFERENCES templates.templates(pk_template_id) ON DELETE CASCADE
);
CREATE INDEX idx_template_fields_tmpl_id ON templates.template_fields(fk_template_id);
-- 5. template_fields_mapping table
CREATE TABLE IF NOT EXISTS templates.template_fields_mapping (
pk_mapping_id BIGSERIAL PRIMARY KEY,
fk_template_id BIGINT NOT NULL,
fk_template_field_id BIGINT NOT NULL,
fk_document_data_id BIGINT,
page_no INTEGER,
x_coordinate NUMERIC,
y_coordinate NUMERIC,
width NUMERIC,
height NUMERIC,
mapping_confidence NUMERIC,
layout_path TEXT,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
CONSTRAINT fk_tfm_template FOREIGN KEY (fk_template_id) REFERENCES templates.templates(pk_template_id) ON DELETE CASCADE,
CONSTRAINT fk_tfm_field FOREIGN KEY (fk_template_field_id) REFERENCES templates.template_fields(pk_template_field_id) ON DELETE CASCADE,
CONSTRAINT fk_tfm_doc_data FOREIGN KEY (fk_document_data_id) REFERENCES templates.document_layout(pk_document_data_id) ON DELETE SET NULL
);
CREATE INDEX idx_mapping_tmpl_id ON templates.template_fields_mapping(fk_template_id);
CREATE INDEX idx_mapping_field_id ON templates.template_fields_mapping(fk_template_field_id);
-- 6. template_recognition_history table
CREATE TABLE IF NOT EXISTS templates.template_recognition_history (
pk_history_id BIGSERIAL PRIMARY KEY,
fk_template_id BIGINT NOT NULL,
fk_document_id BIGINT NOT NULL,
recognition_score NUMERIC,
matched_flag BOOLEAN,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
CONSTRAINT fk_trh_template FOREIGN KEY (fk_template_id) REFERENCES templates.templates(pk_template_id) ON DELETE CASCADE,
CONSTRAINT fk_trh_document FOREIGN KEY (fk_document_id) REFERENCES templates.documents(pk_document_id) ON DELETE CASCADE
);
CREATE INDEX idx_recognition_history_doc ON templates.template_recognition_history(fk_document_id);

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