Merge branch 'dev' into main

Dockerfile

@@ -36,6 +36,9 @@ ENV CELERY_BROKER_URL=redis://localhost:6379/0
 ENV CELERY_RESULT_BACKEND=redis://localhost:6379/0
 ENV SCRAIBE_UPLOAD_DIR=/tmp/scraibe_uploads
 
+# Server timezone for document dates (e.g., America/Toronto, Europe/Berlin)
+ENV SERVER_TIMEZONE=UTC
+
 # Email and template configuration
 ENV EMAIL_CONTACT_ADDRESS=support@example.com
 ENV EMAIL_CSS_PATH=

README.md

@@ -7,6 +7,7 @@ ScrAIbe is a transcription and summarization service that:
 - Provides:
   - A web GUI for uploading audio and receiving transcripts via email.
   - A CLI and Python API for direct integration.
+  - A watch-folder mode for automatic transcription, summarization, and email delivery.
 
 No local speech models or heavy dependencies are required. ScrAIbe is designed as a thin client in front of your own AI services.
 
@@ -24,7 +25,8 @@ For more information: https://apstrom.ca
     - Key decisions and outcomes
     - Action items and responsibilities
     - Open issues and risks
-- Async web GUI:
+  - Improved, configurable summary prompts (via environment or file).
+- Async web GUI (always enabled):
   - Upload audio via browser.
   - Jobs are queued and processed in the background (Celery + Redis).
   - Emails:
@@ -32,13 +34,25 @@ For more information: https://apstrom.ca
     - Final transcript (MD + DOCX + JSON) when ready.
     - Summary as MD + DOCX (if requested).
     - Error notification if processing fails.
+- Watch-folder mode (optional):
+  - Monitors a directory for audio files.
+  - For each file:
+    - Transcribes and summarizes.
+    - Emails transcript + summary + JSON to a configured address.
+    - Deletes the source file after successful processing (configurable).
+  - Enabled via WATCH_ENABLED=true.
 - File formats:
-  - Transcript: .md and .docx (line-numbered, no cover page)
-  - Summary (if requested): .md and .docx (no line numbering, no cover page)
+  - Transcript:
+    - .md
+    - .docx (line-numbered, 30 lines per page, optional cover page)
+  - Summary (if requested):
+    - .md
+    - .docx (markdown-aware WYSIWYG styling, optional cover page)
   - Full structured output: .json
 - Customizable branding:
   - Web GUI title, logo, and accent color via environment variables.
   - Email logo, accent color, and subject lines via environment variables.
+  - Optional cover pages for transcript and summary DOCX.
 - CLI and Python API:
   - Simple command-line interface.
   - Drop-in Scraibe class for integration into other tools.
@@ -58,7 +72,8 @@ For more information: https://apstrom.ca
     - Chunked summarization
     - Output formatting (e.g., .md with transcript + summary)
   - Runs:
-    - Web GUI (Gradio)
+    - Web GUI (Gradio) – always enabled
+    - Watch-folder mode – optional
     - Celery worker (async processing)
     - Redis (in-container by default)
 
@@ -209,6 +224,20 @@ Accent color (UI and emails):
     - Email headings, links, and email addresses
   - Default: #7C6DA0
 
+Watch-folder mode:
+
+- WATCH_ENABLED:
+  - Enable watch-folder mode (default: false).
+  - Values: true/false.
+- WATCH_DIR:
+  - Directory to monitor for audio files (required if WATCH_ENABLED=true).
+- WATCH_EMAIL_TO:
+  - Email address to send transcript and summary (required if WATCH_ENABLED=true).
+- WATCH_POLL_INTERVAL:
+  - Seconds between scans (default: 10).
+- WATCH_DELETE_ON_SUCCESS:
+  - Delete source file after successful processing (default: true).
+
 Async processing (Celery + Redis):
 
 - CELERY_BROKER_URL:
@@ -253,16 +282,40 @@ Email subject lines (customizable):
   - Subject for error notification email.
   - Default: "ScrAIbe: Error with your transcription request"
 
-Output files (async web GUI):
+Summary prompt customization:
+
+- SUMMARY_PROMPT_CHUNK:
+  - Override prompt used for each transcript chunk.
+- SUMMARY_PROMPT_COMBINED:
+  - Override prompt used for the final combined summary.
+- SUMMARY_PROMPT_FILE:
+  - Path to a file with prompts in sections:
+    - [chunk]
+    - [combined]
+
+DOCX and cover pages:
+
+- COVER_PAGE_ENABLED:
+  - Add a cover page to transcript and summary DOCX files (default: false).
+- COVER_PAGE_ORGANIZATION:
+  - Organization name shown on the cover page.
+- COVER_PAGE_TITLE_PREFIX:
+  - Title prefix (e.g., "TRANSCRIPT" or "SUMMARY").
+- COVER_PAGE_LOGO_URL:
+  - Logo URL to include on the cover page.
+- COVER_PAGE_LOGO_PATH:
+  - Local logo path to include on the cover page.
+
+Output files (async web GUI and watch-folder mode):
 
 When a job completes, the user receives:
 
 - Transcript:
   - .md file
-  - .docx file (line-numbered, no cover page)
+  - .docx file (line-numbered, 30 lines per page, optional cover page)
 - Summary (if requested):
   - .md file
-  - .docx file (no line numbering, no cover page)
+  - .docx file (markdown-aware styling, optional cover page)
 - JSON:
   - Structured transcript with diarization and metadata
 

scraibe/__main__.py

@@ -3,10 +3,26 @@ Entrypoint for running ScrAIbe as a module:
 
     python -m scraibe
 
-Always launches the Web GUI (Gradio), never the CLI.
+Always launches the Web GUI (Gradio).
+Optionally launches:
+- Watch-folder mode
 """
 
+import logging
+
+logger = logging.getLogger("scraibe.__main__")
+
 from .webui import create_app
 
+
 if __name__ == "__main__":
+    # Optionally start watch-folder mode (non-blocking)
+    try:
+        from .watcher import start_watcher
+        start_watcher()
+        logger.info("Watch-folder mode started.")
+    except Exception as e:
+        logger.warning("Failed to start watch-folder mode (WebUI will continue): %s", e)
+
+    # Always start WebUI (Gradio)
     create_app()

scraibe/docx_cover.py

@@ -0,0 +1,117 @@
+"""
+Cover-page generator for transcript and summary DOCX files.
+
+Layout (all centered):
+- 1 blank line
+- Title in uppercase: "TRANSCRIPT" or "SUMMARY"
+- Next line: "Transcript created on: [date]"
+- Next line: "Transcribed by <COVER_PAGE_ORGANIZATION>"
+- 2 blank lines
+- Disclaimer (underlined)
+- Disclaimer body
+- Page break (ensures content starts on page 2)
+
+Environment variables:
+- COVER_PAGE_ENABLED: "true"/"false" (default: false)
+- COVER_PAGE_ORGANIZATION: e.g., "A.P.Strom"
+- SERVER_TIMEZONE: Timezone for document dates (e.g., "America/Toronto"). Defaults to "UTC".
+"""
+
+import os
+from datetime import datetime
+from typing import Optional
+from zoneinfo import ZoneInfo, ZoneInfoNotFoundError
+from docx import Document
+from docx.shared import Pt
+from docx.enum.text import WD_ALIGN_PARAGRAPH
+from docx.oxml import OxmlElement
+from docx.oxml.ns import qn
+
+
+def _get_server_timezone():
+    tz_name = (os.getenv("SERVER_TIMEZONE") or "UTC").strip()
+    try:
+        return ZoneInfo(tz_name)
+    except (ZoneInfoNotFoundError, KeyError, ValueError):
+        return ZoneInfo("UTC")
+
+
+def _add_centered_paragraph(doc: Document, text: str = "", font_size: Pt = Pt(12), bold: bool = False, underline: bool = False):
+    """Add a centered paragraph with given text and style."""
+    p = doc.add_paragraph()
+    p.alignment = WD_ALIGN_PARAGRAPH.CENTER
+    if text:
+        run = p.add_run(text)
+        run.font.name = "Courier"
+        run.font.size = font_size
+        run.bold = bold
+        run.underline = underline
+    return p
+
+
+def _add_blank_lines(doc: Document, count: int):
+    """Add specified number of blank lines (empty centered paragraphs)."""
+    for _ in range(count):
+        _add_centered_paragraph(doc)
+
+
+def _add_page_break(doc: Document):
+    """Insert a page break after the last paragraph (no extra blank line)."""
+    from docx.enum.text import WD_BREAK
+    last_p = doc.paragraphs[-1]
+    run = last_p.add_run()
+    run.add_break(WD_BREAK.PAGE)
+
+
+def add_cover_page(
+    doc: Document,
+    title: str,
+    date_str: Optional[str] = None,
+):
+    """
+    Insert a cover page at the current cursor position.
+
+    - title: e.g., "TRANSCRIPT" or "SUMMARY"
+    - date_str: optional date string (e.g., "June 19, 2026");
+      if not provided, uses current server time in SERVER_TIMEZONE.
+    """
+
+    # 1 blank line (removed two from top)
+    _add_blank_lines(doc, 1)
+
+    # Title in uppercase
+    _add_centered_paragraph(doc, text=title.upper().strip(), font_size=Pt(18), bold=True)
+
+    # Date of transcription (use provided or current server time)
+    if not date_str:
+        tz = _get_server_timezone()
+        now = datetime.now(tz)
+        date_str = now.strftime("%B %d, %Y")
+    _add_centered_paragraph(doc, text=f"Transcript created on: {date_str}", font_size=Pt(14))
+
+    # Transcribed by + organization
+    org = (os.getenv("COVER_PAGE_ORGANIZATION") or "").strip()
+    if org:
+        _add_centered_paragraph(doc, text=f"Transcribed by {org}", font_size=Pt(12))
+
+    # 2 blank lines
+    _add_blank_lines(doc, 2)
+
+    # Disclaimer: only the word "Disclaimer" is underlined
+    disclaimer_title = "Disclaimer"
+    disclaimer_body = (
+        "This transcription and any summary derived therefrom are created entirely by large language models. "
+        "Large language models are imperfect and may create errors or inaccuracies. "
+        "The following transcription and summary (if applicable) are designed to assist users. "
+        "They are not a conclusive record or summary of what transpired in an audio recording. "
+        "Use at your own risk."
+    )
+
+    # Underlined "Disclaimer" line
+    _add_centered_paragraph(doc, text=disclaimer_title, font_size=Pt(10), underline=True)
+
+    # Body text (not underlined)
+    _add_centered_paragraph(doc, text=disclaimer_body, font_size=Pt(10), underline=False)
+
+    # Page break after cover page so main content starts on page 2
+    _add_page_break(doc)

scraibe/docx_styles.py

@@ -0,0 +1,147 @@
+"""
+Utility module for applying styles and converting simple markdown
+into styled DOCX paragraphs/runs for summaries.
+"""
+
+import re
+from docx import Document
+from docx.shared import Pt
+from docx.oxml import OxmlElement
+from docx.oxml.ns import qn
+
+
+def _ensure_style(doc, name, based_on="Normal", font_name="Courier", font_size=Pt(12)):
+    """
+    Ensure a paragraph style exists in the document.
+    """
+    styles = doc.styles
+    if name not in [s.name for s in styles]:
+        style = styles.add_style(name, 1)  # 1 = WD_STYLE_TYPE.PARAGRAPH
+        style.font.name = font_name
+        style.font.size = font_size
+        if based_on:
+            style.base_style = styles[based_on]
+    return styles[name]
+
+
+def apply_heading_style(doc, paragraph, level: int):
+    """
+    Apply heading style to a paragraph based on level (1, 2, 3).
+    """
+    if level == 1:
+        style_name = "SummaryHeading1"
+        size = Pt(16)
+    elif level == 2:
+        style_name = "SummaryHeading2"
+        size = Pt(14)
+    else:
+        style_name = "SummaryHeading3"
+        size = Pt(12)
+
+    style = _ensure_style(doc, style_name, font_size=size)
+    paragraph.style = style
+    paragraph.paragraph_format.space_before = Pt(4)
+    paragraph.paragraph_format.space_after = Pt(2)
+
+
+def apply_bullet_style(doc, paragraph):
+    """
+    Apply a simple bullet style to a paragraph.
+    """
+    style_name = "SummaryBullet"
+    style = _ensure_style(doc, style_name)
+    paragraph.style = style
+    pPr = paragraph._p.get_or_add_pPr()
+    tabs = OxmlElement("w:tabs")
+    tab = OxmlElement("w:tab")
+    tab.set(qn("w:val"), "left")
+    tab.set(qn("w:pos"), "360")
+    tabs.append(tab)
+    pPr.append(tabs)
+
+
+def parse_simple_md_to_paragraphs(doc, text: str):
+    """
+    Convert simple markdown text into DOCX paragraphs with styles.
+
+    Supported:
+    - # / ## / ### for headings
+    - - / * for bullet lists
+    - **bold** and *italic*
+
+    This is intentionally simple and robust for legal/business summaries.
+    """
+    lines = text.splitlines()
+    current_paragraph = None
+    in_list = False
+
+    for line in lines:
+        stripped = line.strip()
+        if not stripped:
+            current_paragraph = None
+            in_list = False
+            continue
+
+        # Headings
+        heading_match = re.match(r"^(#{1,3})\s+(.*)", stripped)
+        if heading_match:
+            level = len(heading_match.group(1))
+            content = heading_match.group(2).strip()
+            p = doc.add_paragraph()
+            apply_heading_style(doc, p, level)
+            _add_run_with_inline_md(p, content)
+            current_paragraph = p
+            in_list = False
+            continue
+
+        # Bullet list
+        bullet_match = re.match(r"^[-*]\s+(.*)", stripped)
+        if bullet_match:
+            content = bullet_match.group(1).strip()
+            if not in_list or current_paragraph is None:
+                in_list = True
+                current_paragraph = doc.add_paragraph()
+                apply_bullet_style(doc, current_paragraph)
+            else:
+                current_paragraph = doc.add_paragraph()
+                apply_bullet_style(doc, current_paragraph)
+            _add_run_with_inline_md(current_paragraph, content)
+            continue
+
+        # Normal paragraph
+        if not in_list or current_paragraph is None:
+            in_list = False
+            current_paragraph = doc.add_paragraph()
+        else:
+            current_paragraph = doc.add_paragraph()
+
+        _add_run_with_inline_md(current_paragraph, stripped)
+
+
+def _add_run_with_inline_md(paragraph, text: str):
+    """
+    Add runs to a paragraph, interpreting **bold** and *italic*.
+    """
+    # Simple regex for bold and italic
+    parts = re.split(r"(\*\*\*.*?\*\*\*|\*\*.*?\*\*|\*.*?\*)", text)
+    for part in parts:
+        if not part:
+            continue
+
+        run = paragraph.add_run(part)
+        run.font.name = "Courier"
+        run.font.size = Pt(12)
+
+        # Bold
+        bold_match = re.fullmatch(r"\*\*(.+?)\*\*", part)
+        if bold_match:
+            run.bold = True
+            part = bold_match.group(1)
+
+        # Italic
+        italic_match = re.fullmatch(r"\*(.+?)\*", part)
+        if italic_match:
+            run.italic = True
+            part = italic_match.group(1)
+
+        run.text = part

scraibe/email_sender.py

@@ -439,7 +439,7 @@ def _add_transcript_paragraph(doc, line_text, line_number):
 
 # ------------ Public DOCX functions ------------
 
-def create_transcript_docx(text: str, filename: str):
+def create_transcript_docx(text: str, filename: str, summary_text: str = ""):
     """
     Create a transcript DOCX with:
     - 1" margins on all sides
@@ -450,10 +450,14 @@ def create_transcript_docx(text: str, filename: str):
     - Blank spacing between number and text preserved
     - Page break after every 29 lines
     - Centered footer: "X of Y"
+    - If summary_text is provided:
+        - Page break after transcript
+        - Centered "SUMMARY" title
+        - Summary content (markdown-aware)
     """
+    from . import docx_styles
+
     # Step 1: Prepare transcript into pages of 29 lines each
-    # Each line <= 60 chars total, words preserved, no clipping
-    # Structure: nested list of paragraphs (pages -> lines)
     prepared_pages = []
     current_page = []
     line_count = 0
@@ -483,7 +487,7 @@ def create_transcript_docx(text: str, filename: str):
 
         # Add segments to pages, enforcing 29 lines per page
         for seg in segments:
-            if line_count == 30:
+            if line_count == 29:
                 prepared_pages.append(current_page)
                 current_page = []
                 line_count = 0
@@ -505,25 +509,63 @@ def create_transcript_docx(text: str, filename: str):
 
     _create_transcript_section_properties(doc.sections[0])
 
-    # Step 3: Write prepared pages into DOCX
+    # Step 3: Optionally add cover page
+    from . import docx_cover
+    from datetime import datetime
+    cover_enabled = os.getenv("COVER_PAGE_ENABLED", "false").strip().lower() in ("true", "1", "yes")
+    if cover_enabled:
+        date_str = datetime.utcnow().strftime("%B %d, %Y")
+        docx_cover.add_cover_page(
+            doc,
+            title="TRANSCRIPT",
+            date_str=date_str,
+        )
+
+    # Step 4: Write prepared pages into DOCX
     for page_idx, page_lines in enumerate(prepared_pages):
-        # Insert page break between pages
-        if page_idx > 0:
+        # Write each line with its number (1-29)
+        for line_num, line_text in enumerate(page_lines, start=1):
+            _add_transcript_paragraph(doc, line_text, line_number=line_num)
+
+        # After each page except the last, add a page break via next paragraph
+        if page_idx < len(prepared_pages) - 1:
             p_break = doc.add_paragraph()
+            p_break.paragraph_format.page_break_before = True
+            # Ensure it’s empty and doesn’t show as a visible line
+            if p_break.runs:
+                for r in p_break.runs:
+                    r.text = ""
+            # Remove any formatting that would show as a visible line
             pPr = p_break._p.get_or_add_pPr()
             for child in list(pPr):
                 tag = child.tag.split("}")[-1] if "}" in child.tag else child.tag
                 if tag in ("tabs", "spacing", "ind"):
                     pPr.remove(child)
-            page_break = OxmlElement("w:pageBreak")
-            page_break.set("{http://schemas.openxmlformats.org/wordprocessingml/2006/main}val", "1")
-            pPr.append(page_break)
+            spacing = OxmlElement("w:spacing")
+            _set_element_attr(spacing, "before", "0")
+            _set_element_attr(spacing, "after", "0")
+            _set_element_attr(spacing, "line", "240")
+            _set_element_attr(spacing, "lineRule", "auto")
+            pPr.append(spacing)
 
-        # Write each line with its number (1-29)
-        for line_num, line_text in enumerate(page_lines, start=1):
-            _add_transcript_paragraph(doc, line_text, line_number=line_num)
+    # Step 5: If summary_text provided, append it with a hard page break
+    if summary_text and summary_text.strip():
+        # Hard page break after transcript
+        p_break = doc.add_paragraph()
+        p_break.paragraph_format.page_break_before = True
 
-    # Step 4: Add footer: "X of Y" centered
+        # Centered "SUMMARY" title
+        title_p = doc.add_paragraph()
+        title_p.alignment = WD_ALIGN_PARAGRAPH.CENTER
+        run = title_p.add_run("SUMMARY")
+        run.font.name = "Courier"
+        run.font.size = Pt(18)
+        run.bold = True
+
+        # Add summary content using markdown-aware styling
+        docx_styles.parse_simple_md_to_paragraphs(doc, summary_text.strip())
+
+    # Step 6: Add footer: "X of Y" centered
     section = doc.sections[0]
     footer = section.footer
     footer.is_linked_to_previous = False
@@ -563,8 +605,10 @@ def create_summary_docx(text: str, filename: str):
     Create a summary DOCX with:
     - 1" margins on all sides
     - 12pt Courier font
-    - No line numbering
+    - Markdown-aware WYSIWYG styling (headings, bullets, bold/italic)
     """
+    from . import docx_styles
+
     doc = Document()
 
     # Base font
@@ -584,13 +628,20 @@ def create_summary_docx(text: str, filename: str):
     for p in list(body.findall(f"{{{W_NS}}}p")):
         body.remove(p)
 
-    # Add summary content
-    lines = text.strip().splitlines()
-    for line in lines:
-        line = line.strip()
-        if not line:
-            continue
-        p = doc.add_paragraph(line)
-        p.paragraph_format.space_after = Pt(4)
+    # Optionally add cover page
+    from . import docx_cover
+    from datetime import datetime
+    cover_enabled = os.getenv("COVER_PAGE_ENABLED", "false").strip().lower() in ("true", "1", "yes")
+    if cover_enabled:
+        date_str = datetime.utcnow().strftime("%B %d, %Y")
+        docx_cover.add_cover_page(
+            doc,
+            title="SUMMARY",
+            date_str=date_str,
+        )
+
+    # Add summary content using markdown-aware styling
+    if text.strip():
+        docx_styles.parse_simple_md_to_paragraphs(doc, text.strip())
 
     doc.save(filename)

scraibe/summarizer.py

@@ -148,19 +148,87 @@ class SummarizerClient:
             start = break_pos
         return chunks
 
+    def _load_summary_prompt(self, role: str) -> str:
+        """
+        Load summary prompt for the given role: 'chunk' or 'combined'.
+
+        Priority:
+        1) SUMMARY_PROMPT_{ROLE} (env)
+        2) SUMMARY_PROMPT_FILE (env) with [chunk] / [combined] sections
+        3) Built-in default prompt
+        """
+        role_upper = role.upper()
+
+        # 1) Direct env var: SUMMARY_PROMPT_CHUNK / SUMMARY_PROMPT_COMBINED
+        env_key = f"SUMMARY_PROMPT_{role_upper}"
+        env_prompt = (os.getenv(env_key) or "").strip()
+        if env_prompt:
+            return env_prompt
+
+        # 2) File-based prompt with sections
+        prompt_file = (os.getenv("SUMMARY_PROMPT_FILE") or "").strip()
+        if prompt_file and os.path.exists(prompt_file):
+            try:
+                with open(prompt_file, "r", encoding="utf-8") as f:
+                    content = f.read()
+                # Simple section parser: [chunk], [combined]
+                import re
+                pattern = re.compile(
+                    r"\[" + role + r"\]\s*\n(.*?)(?=\n\[|$)",
+                    re.DOTALL,
+                )
+                m = pattern.search(content)
+                if m:
+                    text = m.group(1).strip()
+                    if text:
+                        return text
+            except Exception as e:
+                logger.warning("Failed to load SUMMARY_PROMPT_FILE for %s: %s", role, e)
+
+        # 3) Default prompts
+        if role == "chunk":
+            return (
+                "You are an expert legal and business meeting summarizer. "
+                "You will receive a segment of a longer transcript. "
+                "Provide a detailed, structured summary of this segment, focusing on: "
+                "- Topics discussed\n"
+                "- Key points and arguments\n"
+                "- Decisions and agreements\n"
+                "- Action items and responsibilities\n"
+                "- Any risks, conflicts, or open issues\n"
+                "- Names, roles, or affiliations of speakers (when mentioned)\n\n"
+                "Be concise but complete. Use bullet points where helpful. "
+                "Do not add information that is not present in the transcript."
+            )
+        else:
+            return (
+                "You are an expert legal and business meeting summarizer. "
+                "You will receive several intermediate summaries of a longer conversation. "
+                "Produce a single, comprehensive summary using markdown. "
+                "Structure your response with the following sections:\n\n"
+                "1. PERSONS IN DISCUSSION\n"
+                "- List all participants whose names or roles can be identified from the conversation.\n"
+                "- If a name is not given, use their role/position (e.g., Judge, Client, Manager, Witness) or 'Speaker 1', etc.\n"
+                "- Keep it concise.\n\n"
+                "2. PURPOSE AND CONTEXT\n"
+                "- Briefly state the overall purpose and context of the discussion.\n\n"
+                "3. MAIN ISSUES AND TOPICS\n"
+                "- Summarize the main issues and topics addressed.\n\n"
+                "4. KEY ARGUMENTS AND POSITIONS\n"
+                "- Briefly outline key arguments and positions taken by each party.\n\n"
+                "5. DECISIONS AND OUTCOMES\n"
+                "- Clearly list decisions made and outcomes reached.\n\n"
+                "6. ACTION ITEMS AND NEXT STEPS\n"
+                "- List all action items, responsibilities, and next steps.\n\n"
+                "7. UNRESOLVED ISSUES AND RISKS\n"
+                "- Note any unresolved issues, conflicts, or risks.\n\n"
+                "The summary should be detailed enough that a reader who was not present "
+                "can understand what happened and what is expected going forward. "
+                "Use clear, concise language and bullet points where appropriate."
+            )
+
     def _summarize_chunk(self, chunk: str, index: int, total: int) -> str:
-        system_prompt = (
-            "You are an expert legal and business meeting summarizer. "
-            "You will receive a segment of a longer transcript. "
-            "Provide a detailed, structured summary of this segment, focusing on: "
-            "- Topics discussed\n"
-            "- Key points and arguments\n"
-            "- Decisions and agreements\n"
-            "- Action items and responsibilities\n"
-            "- Any risks, conflicts, or open issues\n\n"
-            "Be concise but complete. Use bullet points when helpful. "
-            "Do not add information that is not present in the transcript."
-        )
+        system_prompt = self._load_summary_prompt("chunk")
 
         user_prompt = (
             f"This is segment {index + 1} of {total} from a longer conversation.\n\n"
@@ -170,20 +238,7 @@ class SummarizerClient:
         return self._chat_completion(system_prompt, user_prompt)
 
     def _summarize_combined(self, combined_summaries: str) -> str:
-        system_prompt = (
-            "You are an expert legal and business meeting summarizer. "
-            "You will receive several intermediate summaries of a longer conversation. "
-            "Produce a single, comprehensive summary that makes it clear: "
-            "- The overall purpose and context of the discussion\n"
-            "- The main issues and topics addressed\n"
-            "- Key arguments and positions (briefly)\n"
-            "- Decisions and outcomes\n"
-            "- Action items, responsibilities, and next steps\n"
-            "- Any unresolved issues or risks\n\n"
-            "The summary should be detailed enough that a reader who was not present "
-            "can understand what happened and what is expected going forward. "
-            "Use clear, concise language and bullet points where appropriate."
-        )
+        system_prompt = self._load_summary_prompt("combined")
 
         user_prompt = (
             "Here are the intermediate summaries from different parts of the same conversation:\n\n"

scraibe/tasks.py

@@ -6,6 +6,7 @@ import os
 import json
 import logging
 import tempfile
+import re
 from datetime import datetime
 
 from .celery_app import celery_app
@@ -247,6 +248,112 @@ def send_error_email(to: str, error_message: str, task_id: str):
         logger.error("Failed to send error email to %s for job %s: %s", to, task_id, e)
 
 
+def _accent_color() -> str:
+    """
+    Return the accent color used in emails/templates.
+    """
+    return (os.getenv("EMAIL_ACCENT_COLOR") or "#7C6DA0").strip()
+
+
+def _identify_speakers_via_llm(scraibe, transcript_text: str) -> dict:
+    """
+    Use the summarizer LLM to identify speakers in the transcript.
+
+    Returns: dict mapping normalized speaker labels to name/role, e.g.
+        {"SPEAKER 1": "JUDGE MARTINEZ", "SPEAKER 2": "DEFENSE COUNSEL"}
+    """
+    try:
+        scraibe._ensure_summarizer()
+        summarizer = scraibe._summarizer
+    except Exception as e:
+        logger.warning("Failed to initialize summarizer for speaker identification: %s", e)
+        return {}
+
+    prompt = (
+        "Below is a transcript with speaker labels like 'SPEAKER 1', 'SPEAKER 2', etc. "
+        "Based on the context and how each speaker talks, identify each speaker as:\n"
+        "- Their real name, if it is clearly mentioned or strongly implied, OR\n"
+        "- A concise role/position (e.g., Judge, Doctor, Manager, Interviewer, Client, Witness), "
+        "if their identity is not clear.\n"
+        "Do not invent random personal names. "
+        "Do not add extra commentary. Output ONLY a mapping in this exact format, one per line:\n"
+        "SPEAKER 1: Name or Role\n"
+        "SPEAKER 2: Name or Role\n"
+        "SPEAKER 3: Name or Role\n"
+        "\n"
+        "Transcript:\n"
+        + transcript_text
+    )
+
+    try:
+        reply = summarizer._chat_completion(
+            system_prompt="You are an expert legal and business meeting analyst.",
+            user_prompt=prompt,
+        )
+    except Exception as e:
+        logger.warning("LLM call failed during speaker identification: %s", e)
+        return {}
+
+    speaker_map = {}
+    for m in re.finditer(r"SPEAKER\s+(\d+)\s*:\s*(.+)", reply, re.IGNORECASE):
+        spk = f"SPEAKER {m.group(1).strip()}"
+        name = m.group(2).strip().rstrip(".").upper()
+        if name:
+            speaker_map[spk] = name
+
+    logger.info("Speaker identification mapping: %s", speaker_map)
+    return speaker_map
+
+
+def _apply_speaker_map(transcript_text: str, segments: list, speaker_map: dict) -> tuple:
+    """
+    Apply speaker_map to: 
+    - transcript_text lines like "[00:12] SPEAKER 1: ..."
+    - segment speaker fields.
+
+    Returns (updated_transcript_text, updated_segments).
+    """
+    if not speaker_map:
+        return transcript_text, segments
+
+    # Normalize function: e.g. "SPEAKER 1" -> "SPEAKER 1"
+    def normalize_label(label: str) -> str:
+        return re.sub(r"\s+", " ", re.sub(r"[^A-Z0-9\s]", "", label.upper())).strip()
+
+    # Replace in transcript lines
+    def replace_in_line(line: str) -> str:
+        # Match: [MM:SS] or [HH:MM:SS] then speaker label then colon
+        # Use a lazy match for the label up to the first colon
+        def repl(m):
+            prefix = m.group(1)  # e.g. "[00:12] "
+            label = m.group(2).strip()
+            normalized = normalize_label(label)
+            new_label = speaker_map.get(normalized, label)
+            return f"{prefix}{new_label}: "
+        return re.sub(
+            r"(\[\d+:\d+(?::\d+)?\]\s*)(.+?):\s*",
+            repl,
+            line,
+            count=1,
+        )
+
+    updated_transcript = "\n".join(
+        replace_in_line(line) for line in transcript_text.splitlines()
+    )
+
+    # Update segments
+    updated_segments = []
+    for seg in segments:
+        sp = (seg.get("speaker") or "").strip()
+        sp_norm = normalize_label(sp)
+        sp_new = speaker_map.get(sp_norm, sp)
+        seg = dict(seg)
+        seg["speaker"] = sp_new
+        updated_segments.append(seg)
+
+    return updated_transcript, updated_segments
+
+
 @celery_app.task(
     name="scraibe.tasks.process_transcription_task",
     bind=True,
@@ -266,7 +373,7 @@ def process_transcription_task(
     identify_speakers: bool = False,
 ):
     """
-    Async task: transcribe audio, optionally summarize, then email results.
+    Async task: transcribe audio, optionally identify speakers, optionally summarize, then email results.
     Cleans up temporary files after completion.
     """
     task_id = self.request.id
@@ -294,121 +401,42 @@ def process_transcription_task(
             )
             raise
 
-        # 3) Transcription
-        if task_type == "transcript_and_summarize":
-            result = scraibe.transcript_and_summarize(
-                audio_file=audio_path,
-                language=language or None,
-                num_speakers=int(num_speakers) if num_speakers else None,
-                verbose=True,
-                for_export=True,
-            )
-            transcript_text = result.get("transcript", "")
-            summary_text = result.get("summary", "")
-            segments = result.get("segments", [])
-            raw_result = result.get("raw_result")
-        else:
-            result = scraibe.transcribe(
-                audio_file=audio_path,
-                language=language or None,
-                num_speakers=int(num_speakers) if num_speakers else None,
-                verbose=True,
-                for_export=True,
-            )
-            transcript_text = result.get("transcript", "")
-            summary_text = ""
-            segments = result.get("segments", [])
-            raw_result = result.get("raw_result")
+        # 3) Transcription (always first, without summarization)
+        result = scraibe.transcribe(
+            audio_file=audio_path,
+            language=language or None,
+            num_speakers=int(num_speakers) if num_speakers else None,
+            verbose=True,
+            for_export=True,
+        )
+        transcript_text = result.get("transcript", "")
+        segments = result.get("segments", [])
+        raw_result = result.get("raw_result")
+        summary_text = ""
 
-        # 3b) Optional speaker identification
-        speaker_map = {}  # e.g. {"SPEAKER 1": "John", "SPEAKER 2": "Maria"}
+        # 4) Optional speaker identification (before summarization)
         if identify_speakers:
             try:
-                # Use the same summarizer client as transcript_and_summarize
-                scraibe._ensure_summarizer()
-                summarizer = scraibe._summarizer
-
-                prompt = (
-                    "Below is a transcript with speaker labels like 'SPEAKER 1', 'SPEAKER 2', etc. "
-                    "Based on the context and how each speaker talks, identify each speaker as:\n"
-                    "- Their real name, if it is clearly mentioned or strongly implied, OR\n"
-                    "- A concise role/position (e.g., Judge, Doctor, Manager, Interviewer, Client, Witness), "
-                    "if their identity is not clear.\n"
-                    "Do not invent random personal names. "
-                    "Do not add extra commentary. Output ONLY a mapping in this exact format, one per line:\n"
-                    "SPEAKER 1: Name or Role\n"
-                    "SPEAKER 2: Name or Role\n"
-                    "SPEAKER 3: Name or Role\n"
-                    "\n"
-                    "Transcript:\n"
-                    + transcript_text
-                )
-
-                response = summarizer._chat_completion(
-                    messages=[{"role": "user", "content": prompt}],
-                    temperature=0.3,
-                    max_tokens=300,
-                )
-                reply = (response or {}).get("choices", [{}])[0].get("message", {}).get("content", "")
-
-                # Parse mapping
-                import re
-                for m in re.finditer(
-                    r"SPEAKER\s+(\d+)\s*:\s*(.+)",
-                    reply,
-                    re.IGNORECASE,
-                ):
-                    spk = f"SPEAKER {m.group(1).strip()}"
-                    name = m.group(2).strip().rstrip(".").upper()
-                    if name:
-                        speaker_map[spk] = name
-
-                logger.info("Speaker identification mapping: %s", speaker_map)
-
-                # Apply mapping to transcript text
+                speaker_map = _identify_speakers_via_llm(scraibe, transcript_text)
                 if speaker_map:
-                    def replace_speaker(m):
-                        label = m.group(0).strip()
-                        # normalize to "SPEAKER N"
-                        normalized = re.sub(
-                            r"\s+",
-                            " ",
-                            re.sub(r"[^A-Z0-9\s]", "", label.upper()),
-                        ).strip()
-                        return speaker_map.get(normalized, label)
-
-                    # Replace in lines like "[00:12] SPEAKER 1:" but preserve timestamp and colon
-                    def replace_in_line(line: str) -> str:
-                        # match after timestamp bracket and space: "SPEAKER N:"
-                        return re.sub(
-                            r"(\[\d+:\d+(?::\d+)?\]\s*)([A-Z\s]+?):\s*",
-                            lambda m: m.group(1) + (speaker_map.get(m.group(2).strip(), m.group(2)) + ": "),
-                            line,
-                        )
-
-                    transcript_lines = transcript_text.splitlines()
-                    transcript_text = "\n".join(
-                        replace_in_line(line) for line in transcript_lines
+                    transcript_text, segments = _apply_speaker_map(
+                        transcript_text, segments, speaker_map
                     )
-
-                    # Also update segments for JSON export
-                    updated_segments = []
-                    for seg in segments:
-                        sp = (seg.get("speaker") or "").strip()
-                        sp_norm = re.sub(r"[^A-Z0-9\s]", "", sp.upper()).strip()
-                        sp_new = speaker_map.get(sp_norm, sp)
-                        seg = dict(seg)
-                        seg["speaker"] = sp_new
-                        updated_segments.append(seg)
-                    segments = updated_segments
-
-            except (SummarizerError, Exception) as e:
+                    logger.info("Applied speaker identification to transcript and segments.")
+            except Exception as e:
                 logger.warning(
-                    "Speaker identification failed; falling back to Speaker IDs: %s", e
+                    "Speaker identification failed; continuing with original labels: %s", e
                 )
-                speaker_map = {}
 
-        # 4) Prepare files
+        # 5) Summarization (if requested) using the (possibly identified) transcript
+        if include_summary:
+            try:
+                summary_text = scraibe._summarizer.summarize_transcript(transcript_text)
+            except Exception as e:
+                logger.warning("Summarization failed; continuing without summary: %s", e)
+                summary_text = ""
+
+        # 6) Prepare files
 
         # Transcript .md
         md_transcript_path = _safe_filename("TRANSCRIPT", local, date_tag, ".md")
@@ -417,12 +445,19 @@ def process_transcription_task(
             f.write(transcript_text)
         temp_files.append(md_transcript_path)
 
-        # Transcript .docx (standalone, no cover page)
+        # Transcript .docx (with summary appended if present)
         docx_transcript_path = _safe_filename("TRANSCRIPT", local, date_tag, ".docx")
-        create_transcript_docx(
-            transcript_text,
-            docx_transcript_path,
-        )
+        if summary_text:
+            create_transcript_docx(
+                transcript_text,
+                docx_transcript_path,
+                summary_text=summary_text,
+            )
+        else:
+            create_transcript_docx(
+                transcript_text,
+                docx_transcript_path,
+            )
         temp_files.append(docx_transcript_path)
 
         # JSON as SOURCE
@@ -445,40 +480,14 @@ def process_transcription_task(
             json.dump(json_data, f, indent=2, ensure_ascii=False)
         temp_files.append(json_path)
 
-        # Summary files (if present)
-        md_summary_path = None
-        docx_summary_path = None
-
-        if summary_text:
-            # Summary .md
-            md_summary_path = _safe_filename("SUMMARY", local, date_tag, ".md")
-            with open(md_summary_path, "w", encoding="utf-8") as f:
-                f.write("# Summary\n\n")
-                f.write(summary_text)
-            temp_files.append(md_summary_path)
-
-            # Summary .docx (standalone, no cover page)
-            docx_summary_path = _safe_filename("SUMMARY", local, date_tag, ".docx")
-            create_summary_docx(
-                summary_text,
-                docx_summary_path,
-            )
-            temp_files.append(docx_summary_path)
-
-        # 5) Build attachments list
-
-        # Always: JSON, transcript MD, transcript DOCX
+        # 7) Build attachments list
         attachments = [
             md_transcript_path,
             docx_transcript_path,
             json_path,
         ]
 
-        # If summary is present, add summary MD and DOCX
-        if summary_text:
-            attachments += [md_summary_path, docx_summary_path]
-
-        # 6) Send success email
+        # 8) Send success email
         send_success_email(
             to=email_to,
             transcript_text=transcript_text,
@@ -498,9 +507,151 @@ def process_transcription_task(
         )
         raise e
     finally:
-        # 7) Cleanup
+        # 9) Cleanup
         for path in temp_files:
             _remove_file(path)
         if audio_path:
             _remove_file(audio_path)
         logger.info("Cleanup completed for job %s.", task_id)
+
+
+@celery_app.task(
+    name="scraibe.tasks.process_watch_file_task",
+    bind=True,
+    max_retries=1,
+    task_time_limit=14400,
+    task_soft_time_limit=13500,
+)
+def process_watch_file_task(
+    self,
+    file_path: str,
+):
+    """
+    Async task for watch-folder mode:
+    - Transcribe + summarize
+    - Email results
+    - Optionally delete source file
+    """
+    task_id = self.request.id
+
+    log_level = os.getenv("LOG_LEVEL", "INFO")
+    setup_logging(level=log_level)
+
+    email_to = os.getenv("WATCH_EMAIL_TO") or os.getenv("EMAIL_DEFAULT_TO")
+    if not email_to:
+        logger.error("No email address configured for watch-folder mode.")
+        raise RuntimeError("WATCH_EMAIL_TO or EMAIL_DEFAULT_TO not set.")
+
+    delete_on_success = os.getenv("WATCH_DELETE_ON_SUCCESS", "true").strip().lower() in ("true", "1", "yes")
+
+    temp_files = []
+    local = "watch"
+    date_tag = _date_tag()
+
+    try:
+        scraibe = Scraibe(verbose=True)
+
+        result = scraibe.transcript_and_summarize(
+            audio_file=file_path,
+            language=None,
+            num_speakers=None,
+            verbose=True,
+            for_export=True,
+        )
+
+        transcript_text = result.get("transcript", "")
+        summary_text = result.get("summary", "")
+        segments = result.get("segments", [])
+        raw_result = result.get("raw_result")
+
+        # Transcript .md
+        md_transcript_path = _safe_filename("TRANSCRIPT", local, date_tag, ".md")
+        with open(md_transcript_path, "w", encoding="utf-8") as f:
+            f.write("# Transcript\n\n")
+            f.write(transcript_text)
+        temp_files.append(md_transcript_path)
+
+        # Transcript .docx
+        docx_transcript_path = _safe_filename("TRANSCRIPT", local, date_tag, ".docx")
+        create_transcript_docx(
+            transcript_text,
+            docx_transcript_path,
+        )
+        temp_files.append(docx_transcript_path)
+
+        # Summary .md
+        md_summary_path = _safe_filename("SUMMARY", local, date_tag, ".md")
+        with open(md_summary_path, "w", encoding="utf-8") as f:
+            f.write("# Summary\n\n")
+            f.write(summary_text)
+        temp_files.append(md_summary_path)
+
+        # Summary .docx
+        docx_summary_path = _safe_filename("SUMMARY", local, date_tag, ".docx")
+        create_summary_docx(
+            summary_text,
+            docx_summary_path,
+        )
+        temp_files.append(docx_summary_path)
+
+        # JSON as SOURCE
+        json_data = {
+            "task": "watch_transcript_and_summarize",
+            "transcript": transcript_text,
+            "summary": summary_text,
+            "segments": segments,
+            "metadata": {
+                "timestamp": datetime.utcnow().isoformat(),
+                "job_id": task_id,
+                "source_file": file_path,
+            },
+        }
+        if raw_result is not None:
+            json_data["raw_result"] = raw_result
+
+        json_path = _safe_filename("SOURCE", local, date_tag, ".json")
+        with open(json_path, "w", encoding="utf-8") as f:
+            json.dump(json_data, f, indent=2, ensure_ascii=False)
+        temp_files.append(json_path)
+
+        # Attachments
+        attachments = [
+            md_transcript_path,
+            docx_transcript_path,
+            md_summary_path,
+            docx_summary_path,
+            json_path,
+        ]
+
+        # Send email
+        send_success_email(
+            to=email_to,
+            transcript_text=transcript_text,
+            summary_text=summary_text,
+            attachments=attachments,
+            task_id=task_id,
+        )
+
+        logger.info("Watch-folder job %s completed for %s.", task_id, file_path)
+
+        # Delete source file if configured
+        if delete_on_success and os.path.exists(file_path):
+            try:
+                os.remove(file_path)
+                logger.info("Deleted source file: %s", file_path)
+            except Exception as e:
+                logger.warning("Failed to delete source file %s: %s", file_path, e)
+
+    except Exception as e:
+        logger.error("Error processing watch file %s: %s", file_path, e, exc_info=True)
+        send_error_email(
+            to=email_to,
+            error_message=str(e),
+            task_id=task_id,
+        )
+        raise e
+    finally:
+        # Cleanup temp files
+        for path in temp_files:
+            _remove_file(path)
+        logger.info("Watch-folder job %s cleanup completed.", task_id)

scraibe/watcher.py

@@ -0,0 +1,100 @@
+"""
+Watch-folder mode for ScrAIbe.
+
+Monitors a folder for audio files. For each file:
+- Transcribes + summarizes
+- Emails results
+- Deletes source file
+
+Configuration (env):
+- WATCH_ENABLED: "true"/"false" (default: false)
+- WATCH_DIR: directory to watch (required if enabled)
+- WATCH_EMAIL_TO: destination email (required if enabled)
+- WATCH_POLL_INTERVAL: seconds between scans (default: 10)
+- WATCH_DELETE_ON_SUCCESS: "true"/"false" (default: true)
+"""
+
+import os
+import time
+import logging
+import threading
+from pathlib import Path
+
+logger = logging.getLogger("scraibe.watcher")
+
+AUDIO_EXTENSIONS = {
+    ".wav",
+    ".mp3",
+    ".flac",
+    ".m4a",
+    ".ogg",
+    ".webm",
+    ".mp4",
+}
+
+
+def _is_audio(path: Path) -> bool:
+    return path.is_file() and path.suffix.lower() in AUDIO_EXTENSIONS
+
+
+def _enqueue_file(file_path: Path):
+    """
+    Enqueue a file for transcription + summarization via Celery.
+    """
+    from .tasks import process_watch_file_task
+
+    try:
+        process_watch_file_task.delay(str(file_path))
+    except Exception as e:
+        logger.error("Failed to enqueue watch file %s: %s", file_path, e)
+
+
+def _scan_directory(watch_dir: Path):
+    """
+    Scan directory and enqueue all audio files.
+    """
+    if not watch_dir.is_dir():
+        logger.warning("WATCH_DIR does not exist or is not a directory: %s", watch_dir)
+        return
+
+    for p in watch_dir.iterdir():
+        if _is_audio(p):
+            logger.info("Found audio file in WATCH_DIR: %s", p)
+            _enqueue_file(p)
+
+
+def start_watcher():
+    """
+    Start watch-folder loop in a background thread.
+    """
+    enabled = os.getenv("WATCH_ENABLED", "false").strip().lower() in ("true", "1", "yes")
+    if not enabled:
+        return
+
+    watch_dir = os.getenv("WATCH_DIR")
+    if not watch_dir:
+        logger.warning("WATCH_ENABLED is true but WATCH_DIR is not set. Watcher disabled.")
+        return
+
+    email_to = os.getenv("WATCH_EMAIL_TO")
+    if not email_to:
+        logger.warning("WATCH_ENABLED is true but WATCH_EMAIL_TO is not set. Watcher disabled.")
+        return
+
+    interval = float(os.getenv("WATCH_POLL_INTERVAL", "10"))
+
+    watch_path = Path(watch_dir).expanduser().resolve()
+    watch_path.mkdir(parents=True, exist_ok=True)
+
+    logger.info("Starting watch-folder: dir=%s, email=%s, interval=%s", watch_dir, email_to, interval)
+
+    def _loop():
+        while True:
+            try:
+                _scan_directory(watch_path)
+            except Exception as e:
+                logger.error("Error scanning WATCH_DIR: %s", e)
+            time.sleep(interval)
+
+    t = threading.Thread(target=_loop, daemon=True)
+    t.start()

tools/email_diagnostics.py

@@ -0,0 +1,125 @@
+"""
+Diagnostic script for ScrAIbe email (SMTP) connectivity.
+
+Run inside the container to verify:
+- Required env vars are set
+- SMTP connection
+- TLS (if configured)
+- Authentication
+
+Output is written to stdout/stderr so it appears in docker logs.
+"""
+
+import os
+import sys
+import smtplib
+import logging
+
+logging.basicConfig(
+    level=logging.INFO,
+    format="DIAG [%(levelname)s] %(message)s",
+    stream=sys.stdout,
+    force=True,
+)
+log = logging.getLogger("email_diagnostics")
+
+
+def main():
+    # 1) Check required env vars
+    required = [
+        "EMAIL_SMTP_HOST",
+        "EMAIL_SMTP_PORT",
+        "EMAIL_SMTP_USER",
+        "EMAIL_SMTP_PASSWORD",
+        "EMAIL_FROM_ADDRESS",
+    ]
+    missing = [v for v in required if not os.getenv(v)]
+    if missing:
+        log.error("Missing required env vars: %s", ", ".join(missing))
+        sys.exit(1)
+
+    smtp_host = os.getenv("EMAIL_SMTP_HOST")
+    smtp_port = int(os.getenv("EMAIL_SMTP_PORT"))
+    smtp_user = os.getenv("EMAIL_SMTP_USER")
+    smtp_password = os.getenv("EMAIL_SMTP_PASSWORD")
+    from_address = os.getenv("EMAIL_FROM_ADDRESS")
+    use_tls_str = (os.getenv("EMAIL_SMTP_USE_TLS") or "true").strip().lower()
+    use_tls = use_tls_str not in ("false", "0", "no")
+
+    log.info("SMTP config:")
+    log.info("  host: %s", smtp_host)
+    log.info("  port: %s", smtp_port)
+    log.info("  user: %s", smtp_user)
+    log.info("  from: %s", from_address)
+    log.info("  use_tls: %s", use_tls)
+    log.info("  password: %s", ("set" if smtp_password else "NOT SET"))
+
+    # 2) Connect to SMTP server
+    log.info("Attempting SMTP connection...")
+    try:
+        if use_tls:
+            server = smtplib.SMTP(smtp_host, smtp_port, timeout=15)
+            log.info("Connected (SMTP) to %s:%s", smtp_host, smtp_port)
+        else:
+            server = smtplib.SMTP(smtp_host, smtp_port, timeout=15)
+            log.info("Connected (SMTP, no TLS) to %s:%s", smtp_host, smtp_port)
+    except Exception as e:
+        log.error("SMTP connection failed: %s", e)
+        sys.exit(1)
+
+    # 3) EHLO
+    log.info("Sending EHLO...")
+    try:
+        ehlo_resp = server.ehlo()
+        log.info("EHLO response code: %s", ehlo_resp[0])
+    except Exception as e:
+        log.error("EHLO failed: %s", e)
+        server.quit()
+        sys.exit(1)
+
+    # 4) STARTTLS if configured
+    if use_tls:
+        log.info("Attempting STARTTLS...")
+        try:
+            server.starttls()
+            server.ehlo()
+            log.info("STARTTLS succeeded.")
+        except Exception as e:
+            log.error("STARTTLS failed: %s", e)
+            server.quit()
+            sys.exit(1)
+    else:
+        log.info("TLS not requested; continuing without STARTTLS.")
+
+    # 5) AUTH LOGIN
+    log.info("Attempting AUTH LOGIN with user: %s", smtp_user)
+    try:
+        server.login(smtp_user, smtp_password)
+        log.info("AUTH LOGIN succeeded.")
+    except smtplib.SMTPAuthenticationError as e:
+        log.error("AUTH LOGIN failed (bad credentials?): %s", e)
+        server.quit()
+        sys.exit(1)
+    except Exception as e:
+        log.error("AUTH LOGIN failed: %s", e)
+        server.quit()
+        sys.exit(1)
+
+    # 6) Optional: quick MAIL FROM / RCPT TO / QUIT test (no message sent)
+    log.info("Testing MAIL FROM / RCPT TO / RSET...")
+    try:
+        server.mail(from_address)
+        # Use from_address as recipient for test
+        server.rcpt(from_address)
+        server.reset()
+        log.info("MAIL FROM / RCPT TO / RSET succeeded.")
+    except Exception as e:
+        log.warning("MAIL FROM / RCPT TO / RSET failed (non-critical): %s", e)
+
+    # 7) Quit
+    server.quit()
+    log.info("All email diagnostics passed. SMTP is reachable and authenticated.")
+
+
+if __name__ == "__main__":
+    main()