Document parser upload

addons_extensions/document_parser/__init__.py

@@ -0,0 +1 @@
+from . import models

addons_extensions/document_parser/__manifest__.py

@@ -0,0 +1,19 @@
+{
+    "name": "Document Parser",
+    "summary": "Reusable AI-assisted document text and data extraction",
+    "version": "1.0.0",
+    "category": "Tools",
+    "author": "Pranay",
+    "website": "https://www.ftprotech.com",
+    "license": "LGPL-3",
+    "depends": ["base"],
+    "data": [
+        "views/res_config_settings_views.xml",
+    ],
+    "installable": True,
+    "application": False,
+    "auto_install": False,
+    "external_dependencies": {
+        "python": ["requests"],
+    },
+}

addons_extensions/document_parser/models/__init__.py

@@ -0,0 +1,2 @@
+from . import document_parser_service
+from . import res_config_settings

addons_extensions/document_parser/models/document_parser_service.py

@@ -0,0 +1,444 @@
+import base64
+import json
+import logging
+import mimetypes
+import re
+from io import BytesIO
+
+import requests
+
+from odoo import _, api, models
+from odoo.exceptions import UserError
+
+try:
+    import pytesseract
+except Exception:  # pragma: no cover - optional dependency
+    pytesseract = None
+
+try:
+    from PIL import Image
+except Exception:  # pragma: no cover - optional dependency
+    Image = None
+
+try:
+    from pdf2image import convert_from_bytes
+except Exception:  # pragma: no cover - optional dependency
+    convert_from_bytes = None
+
+try:
+    from pypdf import PdfReader
+except Exception:  # pragma: no cover - optional dependency
+    PdfReader = None
+
+try:
+    from docx import Document
+except Exception:  # pragma: no cover - optional dependency
+    Document = None
+
+_logger = logging.getLogger(__name__)
+
+
+class DocumentParserService(models.AbstractModel):
+    _name = "document.parser.service"
+    _description = "Document Parser Service"
+
+    TOGETHER_ENDPOINT = "https://api.together.xyz/v1/chat/completions"
+    OPENROUTER_ENDPOINT = "https://openrouter.ai/api/v1/chat/completions"
+
+    TOGETHER_MODELS = [
+        "Qwen/Qwen2.5-7B-Instruct-Turbo",
+        "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo",
+    ]
+    OPENROUTER_MODELS = [
+        "qwen/qwen-2.5-7b-instruct",
+        "qwen/qwen-2.5-7b-instruct:free",
+        "deepseek/deepseek-chat:free",
+    ]
+
+    @api.model
+    def parse_document(
+        self,
+        file_content,
+        filename=None,
+        required_fields=None,
+        extra_instructions=None,
+        json_schema=None,
+    ):
+        if not file_content:
+            raise UserError(_("No document provided."))
+        if not filename:
+            raise UserError(_("Filename is required."))
+
+        binary = self._decode_file_content(file_content)
+        mimetype = self._detect_mimetype(binary, filename)
+        text_content = self._extract_text(binary, mimetype)
+        fields_spec = self._normalize_required_fields(required_fields or {})
+
+        if not text_content.strip():
+            return {
+                "filename": filename,
+                "mimetype": mimetype,
+                "text": "",
+                "result": {},
+                "provider": False,
+                "errors": [_("No text could be extracted from the document.")],
+                "error": _("No text could be extracted from the document."),
+            }
+
+        schema_text = json_schema or self._build_json_schema_text(fields_spec)
+        ai_result, provider_used, provider_errors = self._send_to_ai(
+            text_content=text_content[:45000],
+            schema_text=schema_text,
+            extra_instructions=extra_instructions,
+        )
+
+        if not ai_result:
+            ai_result = self._extract_with_heuristics(text_content, fields_spec)
+
+        ai_result = ai_result or {}
+        error_message = False
+        if not ai_result and provider_errors:
+            error_message = "; ".join(provider_errors[:3])
+
+        return {
+            "filename": filename,
+            "mimetype": mimetype,
+            "text": text_content,
+            "result": ai_result,
+            "provider": provider_used,
+            "errors": provider_errors,
+            "error": error_message,
+        }
+
+    @api.model
+    def extract_requested_data(self, file_content, filename, required_fields, extra_instructions=None, json_schema=None):
+        return self.parse_document(
+            file_content=file_content,
+            filename=filename,
+            required_fields=required_fields,
+            extra_instructions=extra_instructions,
+            json_schema=json_schema,
+        )["result"]
+
+    def _decode_file_content(self, file_content):
+        if isinstance(file_content, bytes):
+            if file_content.startswith((b"%PDF", b"\xFF\xD8", b"\x89PNG", b"PK")):
+                return file_content
+            try:
+                return base64.b64decode(file_content)
+            except Exception:
+                return file_content
+        if isinstance(file_content, str):
+            try:
+                return base64.b64decode(file_content)
+            except Exception as exc:
+                raise UserError(_("Invalid base64 document.")) from exc
+        raise UserError(_("Unsupported file format."))
+
+    def _detect_mimetype(self, binary, filename):
+        if filename:
+            guessed = mimetypes.guess_type(filename)[0]
+            if guessed:
+                return guessed
+        if binary.startswith(b"%PDF"):
+            return "application/pdf"
+        if binary.startswith(b"\xFF\xD8"):
+            return "image/jpeg"
+        if binary.startswith(b"\x89PNG"):
+            return "image/png"
+        if binary[:2] == b"PK":
+            return "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
+        return "application/octet-stream"
+
+    def _extract_text(self, binary, mimetype):
+        text_content = ""
+        try:
+            if mimetype == "application/pdf":
+                text_content = self._extract_text_from_pdf(binary)
+            elif mimetype in {"image/png", "image/jpeg", "image/jpg"}:
+                text_content = self._extract_text_from_image(binary)
+            elif mimetype == "application/vnd.openxmlformats-officedocument.wordprocessingml.document":
+                text_content = self._extract_text_from_docx(binary)
+            elif mimetype.startswith("text/"):
+                text_content = binary.decode("utf-8", errors="ignore")
+        except Exception as exc:
+            _logger.exception("Document text extraction failed: %s", exc)
+        return (text_content or "").strip()
+
+    def _extract_text_from_pdf(self, binary):
+        extracted_parts = []
+        if PdfReader:
+            try:
+                reader = PdfReader(BytesIO(binary))
+                extracted_parts.extend(page.extract_text() or "" for page in reader.pages)
+            except Exception as exc:
+                _logger.warning("PdfReader extraction failed: %s", exc)
+        text_content = "\n".join(part for part in extracted_parts if part).strip()
+        if text_content:
+            return text_content
+        if convert_from_bytes and pytesseract:
+            try:
+                images = convert_from_bytes(binary, dpi=300)
+                return "\n".join(
+                    pytesseract.image_to_string(image)
+                    for image in images
+                ).strip()
+            except Exception as exc:
+                _logger.warning("PDF OCR extraction failed: %s", exc)
+        return ""
+
+    def _extract_text_from_image(self, binary):
+        if not pytesseract or not Image:
+            return ""
+        try:
+            image = Image.open(BytesIO(binary))
+            return pytesseract.image_to_string(image).strip()
+        except Exception as exc:
+            _logger.warning("Image OCR extraction failed: %s", exc)
+            return ""
+
+    def _extract_text_from_docx(self, binary):
+        if not Document:
+            return ""
+        try:
+            document = Document(BytesIO(binary))
+            return "\n".join(
+                paragraph.text for paragraph in document.paragraphs if paragraph.text
+            ).strip()
+        except Exception as exc:
+            _logger.warning("DOCX extraction failed: %s", exc)
+            return ""
+
+    def _send_to_ai(self, text_content, schema_text, extra_instructions=None):
+        prompt = self._build_prompt(text_content, schema_text, extra_instructions)
+        errors = []
+
+        together_key = self._get_param("document_parser.together_ai_key") or self._get_param("document_parser.together_api_key")
+        openrouter_key = self._get_param("document_parser.openrouter_ai_key") or self._get_param("document_parser.openrouter_api_key")
+
+        if together_key:
+            result, provider_errors = self._call_provider(
+                provider_name="Together",
+                endpoint=self.TOGETHER_ENDPOINT,
+                headers={
+                    "Authorization": f"Bearer {together_key}",
+                    "Content-Type": "application/json",
+                },
+                models=self.TOGETHER_MODELS,
+                prompt=prompt,
+            )
+            if result:
+                return result, "together", errors
+            errors.extend(provider_errors)
+        else:
+            errors.append(_("Together AI key is not configured."))
+
+        if openrouter_key:
+            result, provider_errors = self._call_provider(
+                provider_name="OpenRouter",
+                endpoint=self.OPENROUTER_ENDPOINT,
+                headers={
+                    "Authorization": f"Bearer {openrouter_key}",
+                    "Content-Type": "application/json",
+                    "HTTP-Referer": self._get_param("web.base.url") or "odoo.local",
+                    "X-Title": "Document Parser",
+                },
+                models=self.OPENROUTER_MODELS,
+                prompt=prompt,
+            )
+            if result:
+                return result, "openrouter", errors
+            errors.extend(provider_errors)
+        else:
+            errors.append(_("OpenRouter key is not configured."))
+
+        return {}, False, errors
+
+    def _build_prompt(self, text_content, schema_text, extra_instructions=None):
+        return f"""
+You are a strict JSON generator.
+
+RULES:
+- Output ONLY valid raw JSON.
+- No explanation.
+- No markdown.
+- No backticks.
+- No extra text.
+- Follow schema strictly.
+- If a field is missing in text, return null.
+- Scan the entire document carefully before answering.
+- Extract ONLY what exists in text.
+- FOR ANY DATES CHANGE FORMAT TO %Y-%m-%d
+
+FIELD RULES:
+- If "skills" exists, extract only explicit technical skills written in the document.
+- Do NOT infer similar skills from role names, responsibilities, or projects.
+- Normalize names like "Expert Python" to "Python".
+- Exclude soft skills and business phrases.
+- Exclude responsibility-style phrases like Cross-Functional Collaboration, Cost Saving, Resource Utilization, Documentation, Reporting, and Team Handling.
+- Prefer concrete tools, methods, technologies, platforms, certifications, engineering/process methods, and domain techniques explicitly written in the resume.
+- If the resume explicitly mentions items like AutoCAD, Root Cause Analysis, Project Management, Manufacturing Processes, Lean, Six Sigma, or Quality Control, include them.
+- Remove duplicates and return each skill only once.
+- If "email" exists, return one valid normalized email.
+- If "name" exists, prefer the full name at the top and exclude titles, companies, and addresses.
+- If "phone" exists, return the most complete phone number found.
+- If "experience" exists, return only clearly supported numeric values.
+
+Schema:
+{schema_text}
+
+Instructions:
+{extra_instructions or "None"}
+
+Document:
+{text_content}
+"""
+
+    def _call_provider(self, provider_name, endpoint, headers, models, prompt):
+        errors = []
+        for model in models:
+            payload = {
+                "model": model,
+                "messages": [{"role": "user", "content": prompt}],
+                "temperature": 0,
+                "max_tokens": 1500,
+            }
+            try:
+                response = requests.post(endpoint, headers=headers, json=payload, timeout=90)
+                if response.status_code != 200:
+                    message = _("%(provider)s model %(model)s failed with %(status)s: %(body)s") % {
+                        "provider": provider_name,
+                        "model": model,
+                        "status": response.status_code,
+                        "body": (response.text or "")[:300],
+                    }
+                    _logger.warning(message)
+                    errors.append(message)
+                    continue
+
+                body = response.json()
+                content = self._extract_message_content(body)
+                parsed = self._safe_json_load(content)
+                if parsed:
+                    return parsed, errors
+
+                message = _("%(provider)s model %(model)s returned invalid JSON.") % {
+                    "provider": provider_name,
+                    "model": model,
+                }
+                _logger.warning(message)
+                errors.append(message)
+            except Exception as exc:
+                message = _("%(provider)s model %(model)s error: %(error)s") % {
+                    "provider": provider_name,
+                    "model": model,
+                    "error": str(exc),
+                }
+                _logger.warning(message)
+                errors.append(message)
+        return {}, errors
+
+    def _extract_message_content(self, response_body):
+        try:
+            content = response_body["choices"][0]["message"]["content"]
+        except Exception:
+            return ""
+        if isinstance(content, list):
+            parts = []
+            for item in content:
+                if isinstance(item, dict):
+                    if item.get("type") == "text":
+                        parts.append(item.get("text", ""))
+                    elif item.get("text"):
+                        parts.append(item.get("text"))
+                else:
+                    parts.append(str(item))
+            return "\n".join(part for part in parts if part)
+        if isinstance(content, dict):
+            return content.get("text", "")
+        return content or ""
+
+    def _safe_json_load(self, content):
+        if not content:
+            return {}
+        content = content.strip().replace("```json", "").replace("```", "").strip()
+        try:
+            return json.loads(content)
+        except Exception:
+            pass
+        match = re.search(r"\{[\s\S]*\}", content)
+        if match:
+            try:
+                return json.loads(match.group(0))
+            except Exception:
+                pass
+        _logger.warning("JSON parse failed for provider response: %s", content[:500])
+        return {}
+
+    def _extract_with_heuristics(self, text_content, fields):
+        result = {}
+        email_match = re.search(r"([A-Z0-9._%+-]+@[A-Z0-9.-]+\.[A-Z]{2,})", text_content or "", re.I)
+        phone_match = re.search(r"(\+?\d[\d\-\s()]{7,}\d)", text_content or "")
+        linkedin_match = re.search(r"(https?://(?:www\.)?linkedin\.com/[^\s]+)", text_content or "", re.I)
+        name_guess = self._guess_name(text_content or "")
+        skills_guess = self._guess_skills(text_content or "")
+
+        for field_name, field_spec in fields.items():
+            field_type = field_spec.get("type", "string")
+            if field_name in {"email", "email_from"}:
+                result[field_name] = email_match.group(1).lower() if email_match else None
+            elif field_name in {"phone", "mobile", "partner_phone"}:
+                result[field_name] = phone_match.group(1).strip() if phone_match else None
+            elif field_name in {"linkedin_profile", "linkedin"}:
+                result[field_name] = linkedin_match.group(1).strip() if linkedin_match else None
+            elif field_name in {"name", "full_name", "partner_name"}:
+                result[field_name] = name_guess
+            elif field_name == "skills" and field_type == "list":
+                result[field_name] = skills_guess
+            else:
+                result[field_name] = None
+        return result
+
+    def _guess_name(self, text_content):
+        for line in [line.strip() for line in (text_content or "").splitlines() if line.strip()][:12]:
+            cleaned = re.sub(r"[^A-Za-z .'-]", "", line).strip()
+            if len(cleaned.split()) in {2, 3, 4} and not re.search(r"(resume|cv|email|phone|linkedin|skills|experience)", cleaned, re.I):
+                return cleaned
+        return None
+
+    def _guess_skills(self, text_content):
+        section = re.search(r"(skills|technical skills|core competencies)(.*?)(experience|education|projects|certifications|$)", text_content or "", re.I | re.S)
+        if not section:
+            return []
+        parts = re.split(r"[,;\n|•]", section.group(2))
+        cleaned = []
+        for part in parts:
+            value = re.sub(r"\s+", " ", part).strip(" -:\t\r\n")
+            if value and 1 < len(value) < 50 and not re.search(r"^(skills?|experience|education)$", value, re.I):
+                cleaned.append(value)
+        return list(dict.fromkeys(cleaned[:25]))
+
+    def _get_param(self, key):
+        return self.env["ir.config_parameter"].sudo().get_param(key)
+
+    def _normalize_required_fields(self, fields):
+        if isinstance(fields, dict):
+            normalized = {}
+            for field_name, field_value in fields.items():
+                if isinstance(field_value, dict):
+                    normalized[field_name] = {
+                        "type": field_value.get("type", "string"),
+                        "description": field_value.get("description", field_name.replace("_", " ").title()),
+                    }
+                else:
+                    normalized[field_name] = {
+                        "type": "string",
+                        "description": str(field_value or field_name.replace("_", " ").title()),
+                    }
+            return normalized
+        if isinstance(fields, list):
+            return {field_name: {"type": "string", "description": field_name.replace("_", " ").title()} for field_name in fields}
+        return {}
+
+    def _build_json_schema_text(self, fields):
+        return json.dumps(fields, ensure_ascii=True)

addons_extensions/document_parser/models/res_config_settings.py

@@ -0,0 +1,67 @@
+import requests
+
+from odoo import _, fields, models
+from odoo.exceptions import UserError
+
+
+class ResConfigSettings(models.TransientModel):
+    _inherit = "res.config.settings"
+
+    together_ai_key = fields.Char(
+        string="Together AI Key",
+        config_parameter="document_parser.together_ai_key",
+    )
+    openrouter_ai_key = fields.Char(
+        string="OpenRouter AI Key",
+        config_parameter="document_parser.openrouter_ai_key",
+    )
+
+    def action_test_together_ai_connection(self):
+        self.ensure_one()
+        if not self.together_ai_key:
+            raise UserError(_("Please add the Together AI key first."))
+
+        response = requests.get(
+            "https://api.together.xyz/v1/models",
+            headers={"Authorization": f"Bearer {self.together_ai_key}"},
+            timeout=20,
+        )
+        if response.ok:
+            return {
+                "type": "ir.actions.client",
+                "tag": "display_notification",
+                "params": {
+                    "title": _("Together AI Connection"),
+                    "message": _("Connection successful."),
+                    "type": "success",
+                    "sticky": False,
+                },
+            }
+        raise UserError(_("Together AI connection failed: %s") % (response.text or response.reason))
+
+    def action_test_openrouter_ai_connection(self):
+        self.ensure_one()
+        if not self.openrouter_ai_key:
+            raise UserError(_("Please add the OpenRouter key first."))
+
+        response = requests.get(
+            "https://openrouter.ai/api/v1/models",
+            headers={
+                "Authorization": f"Bearer {self.openrouter_ai_key}",
+                "HTTP-Referer": self.env["ir.config_parameter"].sudo().get_param("web.base.url", ""),
+                "X-Title": "Odoo Document Parser",
+            },
+            timeout=20,
+        )
+        if response.ok:
+            return {
+                "type": "ir.actions.client",
+                "tag": "display_notification",
+                "params": {
+                    "title": _("OpenRouter Connection"),
+                    "message": _("Connection successful."),
+                    "type": "success",
+                    "sticky": False,
+                },
+            }
+        raise UserError(_("OpenRouter connection failed: %s") % (response.text or response.reason))

addons_extensions/document_parser/views/res_config_settings_views.xml

@@ -0,0 +1,39 @@
+<?xml version="1.0" encoding="utf-8"?>
+<odoo>
+    <record id="res_config_settings_view_form_document_parser" model="ir.ui.view">
+        <field name="name">res.config.settings.view.form.document.parser</field>
+        <field name="model">res.config.settings</field>
+        <field name="priority" eval="80"/>
+        <field name="inherit_id" ref="base.res_config_settings_view_form"/>
+        <field name="arch" type="xml">
+            <xpath expr="//form" position="inside">
+                <app string="Document Parser" name="document_parser" groups="base.group_system">
+                    <block title="AI Providers" name="document_parser_ai_provider_block">
+                        <setting string="Together AI Key"
+                                 help="Primary provider used first for structured document extraction."
+                                 id="document_parser_together_ai_key">
+                            <div class="d-flex align-items-center gap-2">
+                                <field name="together_ai_key" password="True" placeholder="together.ai API key"/>
+                                <button name="action_test_together_ai_connection"
+                                        string="Test Connection"
+                                        type="object"
+                                        class="btn btn-secondary"/>
+                            </div>
+                        </setting>
+                        <setting string="OpenRouter AI Key"
+                                 help="Fallback provider used when Together AI is unavailable or quota is exhausted."
+                                 id="document_parser_openrouter_ai_key">
+                            <div class="d-flex align-items-center gap-2">
+                                <field name="openrouter_ai_key" password="True" placeholder="openrouter API key"/>
+                                <button name="action_test_openrouter_ai_connection"
+                                        string="Test Connection"
+                                        type="object"
+                                        class="btn btn-secondary"/>
+                            </div>
+                        </setting>
+                    </block>
+                </app>
+            </xpath>
+        </field>
+    </record>
+</odoo>

addons_extensions/employee_it_declaration/models/it_tax_statement_wiz.py

@@ -653,8 +653,8 @@ class ITTaxStatementWizard(models.TransientModel):
                 # self.professional_tax +
                 # self.nps_employer_contribution
         )
-        taxable_old = max(0.0, annual_gross_salary + self.other_income + hp_income - old_deductions)
+        taxable_old = max(0.0, annual_gross_salary + self.other_income + hp_income - old_deductions - (-(self.professional_tax)))
-        taxable_new = max(0.0, annual_gross_salary + self.other_income + hp_income - new_deductions)
+        taxable_new = max(0.0, annual_gross_salary + self.other_income + hp_income - new_deductions - (-(self.professional_tax)))
         tax_result_old = self._compute_tax_old_regime(taxable_old, old_slab) if old_slab else False
         tax_result_new = self._compute_tax_new_regime(taxable_new, new_slab) if new_slab else False
         comparison_available = bool(tax_result_old and tax_result_new)
@@ -750,6 +750,7 @@ class ITTaxStatementWizard(models.TransientModel):
         gross_salary_projected = values['gross_salary_projected']
         annual_net_salary = values['annual_net_salary']
         selected_standard_deduction = values['selected_standard_deduction']
+        total_sec_16_deduction = values['selected_standard_deduction']+(-(self.professional_tax))
         old_deductions = values['old_deductions']
         new_deductions = values['new_deductions']
         hp_income = values['hp_income']
@@ -845,6 +846,7 @@ class ITTaxStatementWizard(models.TransientModel):
             'deductions': {
                 'professional_tax': self.professional_tax,
                 'standard_deduction': selected_standard_deduction,
+                'total_sec_16_deduction': total_sec_16_deduction,
                 'nps_employer': self.nps_employer_contribution,
                 'hra_exemption': self.hra_exemption,
                 'interest_home_loan': self.interest_home_loan_self + self.interest_home_loan_letout,
@@ -861,7 +863,7 @@ class ITTaxStatementWizard(models.TransientModel):
                 'gross_salary': annual_gross_salary,
                 'other_income': self.other_income,
                 'house_property_income': hp_income,
-                'gross_total_income': (annual_gross_salary + self.other_income + hp_income) - selected_standard_deduction,
+                'gross_total_income': (annual_gross_salary + self.other_income + hp_income) - total_sec_16_deduction,
             },
 
             'taxable_income': {

addons_extensions/employee_it_declaration/report/it_tax_template.xml

@@ -30,6 +30,7 @@
                 <t t-set="tax_employment" t-value="'{:,.0f}'.format(deductions.get('professional_tax', 0))"/>
                 <t t-set="standard_deduction" t-value="'{:,.0f}'.format(deductions.get('standard_deduction', 0))"/>
                 <t t-set="other_income" t-value="'{:,.0f}'.format(income_details.get('other_income', 0))"/>
+                <t t-set="total_sec_16_deduction" t-value="'{:,.0f}'.format(deductions.get('total_sec_16_deduction', 0))"/>
                 <t t-set="gross_total_income" t-value="'{:,.0f}'.format(income_details.get('gross_total_income', 0))"/>
                 <t t-set="taxable_income" t-value="'{:,.0f}'.format(tax_computation.get('taxable_income', 0))"/>
                 <t t-set="roundoff_taxable_income" t-value="'{:,.0f}'.format(tax_computation.get('roundoff_taxable_income', 0))"/>
@@ -198,17 +199,22 @@
                         </tr>
                         <tr style="border-top: 2px solid #ddd; margin-bottom: 8px; margin-top: 10px;">
                             <td style="padding-left: 30px;">Less: Standard Deduction for Salaried Employees</td>
+                            <td style="text-align: right;">
+                                -<span t-esc="standard_deduction"/>
+                            </td>
                             <td colspan="2"></td>
-                            <td style="text-align: right;"
-                                t-esc="standard_deduction"/>
                         </tr>
                         <tr style="border-top: 2px solid #ddd; margin-bottom: 8px; margin-top: 10px;">
                             <td style="padding-left: 30px;">Total</td>
+                            <td colspan="2"></td>
                             <td style="text-align: right;"
-                                t-esc="tax_employment"/>
+                                t-esc="total_sec_16_deduction"/>
-                            <td colspan="1"></td>
+                        </tr>
-                            <td style="text-align: right;"
+                        <tr style="border-top: 2px solid #ddd; margin-bottom: 8px; margin-top: 10px;">
-                                t-esc="standard_deduction"/>
+                            <td><strong>Less:</strong> Marginal Relief</td>
+                            <td colspan="3"></td>
+                            <td style="text-align: right;">0</td>
+
                         </tr>
 
                         <tr style="border-top: 2px solid #ddd; font-weight: bold; margin-bottom: 8px; margin-top: 10px;">