fix: /local-workspace — chemin du header + clic sur un dossier du sidebar (v7.69.9)

Corrige deux régressions de /local-workspace :

- le chemin du header restait bloqué sur « Home / <workspace> » quel que
  soit le dossier affiché : la route rend désormais breadcrumb_items
  (Home / <workspace> / <dossier> / <sous-dossier>, niveaux cliquables,
  collapse « … » au-delà de 4) et la navigation sans rechargement recalcule
  le chemin via l'event flowdeck:breadcrumb-changed ;
- le clic sur un dossier du sidebar affichait TOUS les composants à la
  fois : Alpine.data('wsInitData') retournait le même objet singleton, le
  2e montage (navigation partielle) levait « Cannot redefine property:
  \ » et initTree abandonnait, laissant tout le contenu au state
  brut. La factory retourne désormais une enveloppe fraîche par montage
  qui délègue à l'état réactif partagé. #lw-config est aussi relu à chaque
  exécution (le 2e montage gardait le folder_id du 1er chargement).

Inclus également le travail en cours de l'arbre : Library (colonnes Last
visited/Source, ordre d'en-tête, favoris à icônes Workspace), Meeting
Notes (bloc, CSS, routes, docs), coloration de code hljs, badges
favori/publié dans l'arbre local-workspace, docs (DATA_MODEL,
architectures) et tests associés.

app/services/export.py

@@ -66,28 +66,226 @@ def _block_text(b: dict) -> str:
 # ── Source resolution: read real textual content for ANY page type ──
 
 # Extensions whose content is plain text / code / markdown (textual exportable).
+# Mirrors static/js/code-highlight.js EXT_TO_LANG (single source of truth for
+# the viewer lives client-side; this set gates server-side text handling:
+# file viewer, copy-to-clipboard, exports, imports).
 _TEXTUAL_EXTS = {
-    "md", "markdown", "txt", "log", "text",
-    "py", "js", "ts", "jsx", "tsx", "html", "htm", "css", "json", "xml",
-    "yaml", "yml", "toml", "ini", "cfg", "conf", "env", "sh", "bash", "zsh",
-    "ps1", "bat", "cmd", "rb", "go", "rs", "java", "c", "cpp", "h", "hpp",
-    "php", "swift", "kt", "scala", "sql", "r", "vue", "svelte", "astro",
-    "properties", "gitignore", "dockerfile", "makefile",
+    "md", "markdown", "mkd", "mdown", "mdwn", "rmd", "qmd",
+    "txt", "log", "text", "csv", "tsv", "tab", "nfo", "asc",
+    "py", "pyw", "pyi", "gyp", "gypi",
+    "js", "mjs", "cjs", "jsx", "ts", "mts", "cts", "tsx",
+    "html", "htm", "xhtml", "xht", "xml", "xsd", "xsl", "xslt",
+    "rss", "atom", "plist", "wsf", "svg", "axml",
+    "vue", "svelte", "astro",
+    "css", "scss", "sass", "less",
+    "json", "json5", "jsonc", "geojson", "webmanifest", "har", "avsc",
+    "yaml", "yml", "toml", "ini", "cfg", "conf", "env", "properties",
+    "inf", "reg", "url", "prop",
+    "gitconfig", "gitmodules", "editorconfig",
+    "sh", "bash", "zsh", "ksh", "mksh", "yash", "fish",
+    "ps1", "psm1", "psd1", "bat", "cmd",
+    "rb", "gemspec", "rake", "rbw",
+    "go", "rs", "java", "jsp", "kt", "kts",
+    "scala", "sc", "groovy", "gvy", "gradle",
+    "c", "cpp", "cc", "cxx", "c++", "hh", "hxx", "hcc", "h", "hpp",
+    "cs", "csx", "cake", "ino", "pde",
+    "php", "phtml", "swift", "sql", "pgsql", "psql", "mysql", "mssql",
+    "r", "jl", "lua", "dart",
+    "pl", "pm", "pod",
+    "hs", "lhs", "ex", "exs", "eex", "heex", "leex",
+    "erl", "hrl", "escript",
+    "clj", "cljs", "cljc", "edn",
+    "ml", "mli", "fs", "fsi", "fsx", "fsscript",
+    "nim", "nims", "d", "di",
+    "m", "mm", "vb", "vbs", "bas", "pas", "pp", "dpr",
+    "vhd", "vhdl", "v", "vh", "sv", "svh",
+    "asm", "s", "nasm", "inc",
+    "ada", "ads", "adb",
+    "f", "for", "f90", "f95", "f03", "f08",
+    "cob", "cbl", "cpy",
+    "dockerfile", "containerfile", "tf", "tfvars", "hcl",
+    "cmake", "makefile", "mk", "mak", "ninja",
+    "gql", "graphql", "graphqls", "proto", "thrift",
+    "vim", "vimrc", "gvimrc", "awk", "gcode", "gco", "nc", "ngc",
+    "http", "rest", "nginx", "apache", "htaccess", "wat",
+    "diff", "patch", "rej",
+    "tex", "latex", "sty", "cls", "dtx", "bib", "bbl",
+    "gitignore", "gitattributes", "gitkeep", "dockerignore", "npmignore",
+    "lock", "mod", "sum",
+}
+# Well-known extensionless / dotfile basenames that are textual code.
+_TEXTUAL_FILENAMES = {
+    "dockerfile", "containerfile", "makefile", "gnumakefile",
+    "cmakelists.txt", "rakefile", "gemfile", "vagrantfile",
+    "berksfile", "brewfile", "dangerfile", "fastfile", "podfile",
+    "go.mod", "go.sum",
+    ".bashrc", ".bash_profile", ".bash_login", ".bash_logout",
+    ".zshrc", ".zshenv", ".profile", ".shrc", ".kshrc",
+    ".vimrc", ".gvimrc", ".viminfo",
+    ".gitconfig", ".editorconfig", ".htaccess",
+}
+# Exact basenames → highlight.js id (checked before the extension).
+_FILENAME_LANG = {
+    "dockerfile": "dockerfile", "containerfile": "dockerfile",
+    "makefile": "makefile", "gnumakefile": "makefile",
+    "cmakelists.txt": "cmake",
+    "rakefile": "ruby", "gemfile": "ruby", "vagrantfile": "ruby",
+    "berksfile": "ruby", "brewfile": "ruby", "dangerfile": "ruby",
+    "fastfile": "ruby", "podfile": "ruby",
+    "go.mod": "go",
+    "nginx.conf": "nginx",
+    ".bashrc": "bash", ".bash_profile": "bash", ".bash_login": "bash",
+    ".bash_logout": "bash", ".zshrc": "bash", ".zshenv": "bash",
+    ".profile": "bash", ".shrc": "bash", ".kshrc": "bash",
+    ".vimrc": "vim", ".gvimrc": "vim",
+    ".gitconfig": "ini", ".editorconfig": "ini", ".htaccess": "apache",
 }
 _CODE_LANG = {
-    "py": "python", "js": "javascript", "ts": "typescript", "jsx": "javascript",
-    "tsx": "typescript", "html": "html", "htm": "html", "css": "css",
-    "json": "json", "xml": "xml", "yaml": "yaml", "yml": "yaml",
-    "toml": "toml", "ini": "ini", "cfg": "ini", "conf": "ini", "env": "ini",
-    "sh": "bash", "bash": "bash", "zsh": "bash", "ps1": "powershell",
-    "bat": "batch", "cmd": "batch", "rb": "ruby", "go": "go", "rs": "rust",
-    "java": "java", "c": "c", "cpp": "cpp", "h": "c", "hpp": "cpp",
-    "php": "php", "swift": "swift", "kt": "kotlin", "scala": "scala",
-    "sql": "sql", "r": "r", "vue": "html", "svelte": "html",
-    "astro": "html", "properties": "ini", "md": "markdown",
-    "markdown": "markdown", "txt": "plaintext", "log": "plaintext",
-    "text": "plaintext",
+    "py": "python", "pyw": "python", "pyi": "python",
+    "gyp": "python", "gypi": "python",
+    "js": "javascript", "mjs": "javascript", "cjs": "javascript",
+    "jsx": "javascript",
+    "ts": "typescript", "mts": "typescript", "cts": "typescript",
+    "tsx": "typescript",
+    "html": "xml", "htm": "xml", "xhtml": "xml", "xht": "xml",
+    "xml": "xml", "xsd": "xml", "xsl": "xml", "xslt": "xml",
+    "rss": "xml", "atom": "xml", "plist": "xml", "wsf": "xml",
+    "svg": "xml", "axml": "xml",
+    "vue": "xml", "svelte": "xml", "astro": "xml",
+    "css": "css", "scss": "scss", "sass": "scss", "less": "less",
+    "json": "json", "json5": "json", "jsonc": "json",
+    "geojson": "json", "webmanifest": "json", "har": "json", "avsc": "json",
+    "yaml": "yaml", "yml": "yaml",
+    "toml": "ini", "ini": "ini", "cfg": "ini", "conf": "ini",
+    "env": "ini", "properties": "ini", "prop": "ini",
+    "inf": "ini", "reg": "ini", "url": "ini",
+    "gitconfig": "ini", "gitmodules": "ini", "editorconfig": "ini",
+    "ninja": "ini",
+    "md": "markdown", "markdown": "markdown", "mkd": "markdown",
+    "mdown": "markdown", "mdwn": "markdown", "rmd": "markdown",
+    "qmd": "markdown",
+    "tex": "latex", "latex": "latex", "sty": "latex", "cls": "latex",
+    "dtx": "latex",
+    "sql": "sql", "pgsql": "sql", "psql": "sql", "mysql": "sql",
+    "mssql": "sql",
+    "sh": "bash", "bash": "bash", "zsh": "bash", "ksh": "bash",
+    "mksh": "bash", "yash": "bash",
+    "fish": "shell",
+    "ps1": "powershell", "psm1": "powershell", "psd1": "powershell",
+    "bat": "dos", "cmd": "dos",
+    "rb": "ruby", "gemspec": "ruby", "rake": "ruby", "rbw": "ruby",
+    "go": "go", "rs": "rust",
+    "java": "java", "jsp": "java",
+    "kt": "kotlin", "kts": "kotlin",
+    "scala": "scala", "sc": "scala",
+    "groovy": "groovy", "gvy": "groovy", "gradle": "groovy",
+    "c": "c", "h": "c",
+    "cpp": "cpp", "cc": "cpp", "cxx": "cpp", "c++": "cpp",
+    "hh": "cpp", "hxx": "cpp", "hcc": "cpp", "hpp": "cpp",
+    "ino": "cpp", "pde": "cpp",
+    "cs": "csharp", "csx": "csharp", "cake": "csharp",
+    "php": "php", "phtml": "php-template",
+    "swift": "swift", "r": "r", "jl": "julia", "lua": "lua",
+    "dart": "dart", "pl": "perl", "pm": "perl", "pod": "perl",
+    "hs": "haskell", "lhs": "haskell",
+    "ex": "elixir", "exs": "elixir", "eex": "elixir",
+    "heex": "elixir", "leex": "elixir",
+    "erl": "erlang", "hrl": "erlang", "escript": "erlang",
+    "clj": "clojure", "cljs": "clojure", "cljc": "clojure", "edn": "clojure",
+    "ml": "ocaml", "mli": "ocaml",
+    "fs": "fsharp", "fsi": "fsharp", "fsx": "fsharp", "fsscript": "fsharp",
+    "nim": "nim", "nims": "nim",
+    "d": "d", "di": "d",
+    "m": "objectivec", "mm": "objectivec",
+    "vb": "vbnet", "vbs": "vbnet", "bas": "vbnet",
+    "pas": "delphi", "pp": "delphi", "dpr": "delphi",
+    "vhd": "vhdl", "vhdl": "vhdl",
+    "v": "verilog", "vh": "verilog", "sv": "verilog", "svh": "verilog",
+    "asm": "x86asm", "s": "x86asm", "nasm": "x86asm", "inc": "x86asm",
+    "ada": "ada", "ads": "ada", "adb": "ada",
+    "f": "fortran", "for": "fortran", "f90": "fortran", "f95": "fortran",
+    "f03": "fortran", "f08": "fortran",
+    "cob": "plaintext", "cbl": "plaintext", "cpy": "plaintext",
+    "dockerfile": "dockerfile",
+    "tf": "plaintext", "tfvars": "plaintext", "hcl": "plaintext",
+    "cmake": "cmake",
+    "makefile": "makefile", "mk": "makefile", "mak": "makefile",
+    "gql": "graphql", "graphql": "graphql", "graphqls": "graphql",
+    "proto": "protobuf", "thrift": "thrift",
+    "vim": "vim", "vimrc": "vim", "gvimrc": "vim",
+    "awk": "awk",
+    "gcode": "gcode", "gco": "gcode", "nc": "gcode", "ngc": "gcode",
+    "http": "http", "rest": "http",
+    "nginx": "nginx", "apache": "apache", "htaccess": "apache",
+    "wat": "wasm",
+    "diff": "diff", "patch": "diff", "rej": "diff",
+    "bib": "plaintext", "bbl": "plaintext",
+    "txt": "plaintext", "log": "plaintext", "text": "plaintext",
+    "csv": "plaintext", "tsv": "plaintext", "tab": "plaintext",
+    "nfo": "plaintext", "asc": "plaintext",
+    "lock": "plaintext",
+    "gitignore": "plaintext", "gitattributes": "plaintext",
+    "gitkeep": "plaintext", "dockerignore": "plaintext",
+    "npmignore": "plaintext",
 }
+# Aliases users may type in markdown fences / old block labels.
+_CODE_ALIASES = {
+    "py": "python", "js": "javascript", "jsx": "javascript",
+    "ts": "typescript", "tsx": "typescript",
+    "html": "xml", "htm": "xml", "markup": "xml",
+    "yml": "yaml", "md": "markdown",
+    "sh": "bash", "zsh": "bash", "console": "shell",
+    "ps1": "powershell", "ps": "powershell",
+    "bat": "dos", "cmd": "dos", "batch": "dos",
+    "c++": "cpp", "c#": "csharp", "cs": "csharp",
+    "kt": "kotlin", "rb": "ruby", "rs": "rust", "pl": "perl",
+    "toml": "ini", "cfg": "ini", "conf": "ini", "env": "ini",
+    "tex": "latex", "docker": "dockerfile", "make": "makefile",
+    "plain text": "plaintext", "plain": "plaintext", "text": "plaintext",
+    "none": "plaintext", "": "plaintext",
+}
+# highlight.js ids served by static/js/highlight.min.js + highlight-extra.min.js.
+_HLJS_LANGS = frozenset({
+    "ada", "apache", "armasm", "awk", "bash", "c", "clojure", "cmake", "cpp",
+    "csharp", "css", "d", "dart", "delphi", "diff", "dockerfile", "dos",
+    "elixir", "erlang", "fsharp", "fortran", "gcode", "go",
+    "graphql", "groovy", "haskell", "http", "ini", "java", "javascript",
+    "json", "julia", "kotlin", "latex", "less", "lua", "makefile",
+    "markdown", "matlab", "nginx", "nim", "objectivec", "ocaml", "perl",
+    "php", "php-template", "plaintext", "powershell", "protobuf", "python",
+    "python-repl", "r", "ruby", "rust", "scala", "scss", "shell", "sql",
+    "stan", "stata", "swift", "thrift", "typescript", "vbnet", "verilog",
+    "vhdl", "vim", "wasm", "x86asm", "xml", "yaml",
+})
+
+
+def normalize_code_lang(lang: str | None) -> str:
+    """Normalize any code language label to a bundled highlight.js id.
+
+    Accepts highlight.js ids, file extensions, markdown fence names and the
+    legacy ``Plain Text`` label. Unknown values degrade to ``plaintext``.
+    """
+    lang = (lang or "").strip().lower()
+    if not lang or lang in ("plain text", "none"):
+        return "plaintext"
+    if lang in _CODE_ALIASES:
+        lang = _CODE_ALIASES[lang]
+    if lang in _CODE_LANG.values() or lang in _HLJS_LANGS:
+        return lang
+    return "plaintext"
+
+
+def code_lang_for_file(filename: str | None) -> str:
+    """Best highlight.js id for an uploaded / repo file name."""
+    name = (filename or "").replace("\\", "/").rsplit("/", 1)[-1].lower()
+    if not name:
+        return "plaintext"
+    if name in _FILENAME_LANG:
+        return _FILENAME_LANG[name]
+    ext = name.rsplit(".", 1)[-1] if "." in name else ""
+    return _CODE_LANG.get(ext, "plaintext")
+
+
 _MARKDOWN_MIMES = {"text/markdown", "text/x-markdown", "application/octet-stream"}
 
 
@@ -119,7 +317,8 @@ def _file_text(page: dict) -> str | None:
     name = (rel.rsplit("/", 1)[-1] or "").lower()
     ext = name.rsplit(".", 1)[-1] if "." in name else ""
     mime = (meta.get("mime_type") or "").lower()
-    if not (ext in _TEXTUAL_EXTS or mime.startswith("text/")):
+    if not (ext in _TEXTUAL_EXTS or name in _TEXTUAL_FILENAMES
+            or mime.startswith("text/")):
         return None
     try:
         full = (_data_root() / rel).resolve()
@@ -161,8 +360,7 @@ def _page_source(page: dict):
         mime = (meta.get("mime_type") or "").lower()
         if ext in ("md", "markdown") or mime in _MARKDOWN_MIMES or mime.startswith("text/markdown"):
             return "md", text
-        lang = _CODE_LANG.get(ext, "plaintext")
-        return "code", (text, lang)
+        return "code", (text, code_lang_for_file(name))
 
     # Unknown format (e.g. legacy) -> try to dump as raw text
     if content.strip():
@@ -497,7 +695,7 @@ def blocks_to_markdown(blocks: list) -> str:
             out.append("---")
         elif t == "code":
             lang = b.get("language") or ""
-            out.append(f"```{lang}\n{c}\n```")
+            out.append(f"```{normalize_code_lang(lang) if lang else ''}\n{c}\n```")
         elif t == "toggle":
             out.append(f"### {c}")
             if b.get("children"):
@@ -615,8 +813,11 @@ def blocks_to_html(blocks: list) -> str:
             parts.append("<hr>")
         elif t == "code":
             lang = b.get("language") or ""
+            hljs_lang = normalize_code_lang(lang)
             label = f'<div class="code-lang">{_text(lang)}</div>' if lang else ""
-            parts.append(f"<pre>{label}<code>{c}</code></pre>")
+            parts.append(
+                f'<pre>{label}<code class="language-{hljs_lang}">{c}</code></pre>'
+            )
         elif t == "math":
             parts.append(f'<div class="math">\\[{c}\\]</div>')
         elif t == "table_of_contents":

app/services/importers/forge_repo.py

@@ -7,7 +7,11 @@ from __future__ import annotations
 
 from pathlib import Path
 
-from app.services.export import _CODE_LANG, _TEXTUAL_EXTS
+from app.services.export import (
+    _TEXTUAL_EXTS,
+    _TEXTUAL_FILENAMES,
+    code_lang_for_file,
+)
 from app.services.importers.base import ImportPage, ImportResult
 
 _MD_EXTS = {"md", "markdown"}
@@ -17,6 +21,14 @@ def _ext(path: str) -> str:
     return Path(path).suffix.lower().lstrip(".")
 
 
+def _basename(path: str) -> str:
+    return path.replace("\\", "/").rsplit("/", 1)[-1].lower()
+
+
+def _is_textual(path: str) -> bool:
+    return _ext(path) in _TEXTUAL_EXTS or _basename(path) in _TEXTUAL_FILENAMES
+
+
 def build_repo_result(
     files: list[tuple[str, str]],
     *,
@@ -34,7 +46,7 @@ def build_repo_result(
         if ext in _MD_EXTS:
             markdown = content
         else:
-            lang = _CODE_LANG.get(ext, "")
+            lang = code_lang_for_file(clean)
             markdown = f"```{lang}\n{content.rstrip()}\n```"
         parts = clean.split("/")
         result.pages.append(ImportPage(
@@ -69,7 +81,7 @@ async def fetch_forge_repo(
     files: list[tuple[str, str]] = []
     for meta in metas:
         file_path = meta.get("path") or ""
-        if _ext(file_path) not in _TEXTUAL_EXTS:
+        if not _is_textual(file_path):
             continue
         if int(meta.get("size") or 0) > max_file_bytes:
             continue

app/services/meetings.py

@@ -1,19 +1,25 @@
-"""FlowDeck — AI Meeting Notes v2 (v7.1.0).
+"""FlowDeck — AI Meeting Notes façon Notion (v7.1.1).
 
-Upload audio → optional server transcription (``STT_COMMAND``, e.g. whisper)
-→ AI summary (``AIWritingService.summarize``, offline-capable) → fires
-``meeting.summarized`` so custom agents pick it up (Notion 07/2026 pattern).
+Refonte alignée sur ``docs/architecture-meeting-notion-flowdeck.md`` (§3A/3B) :
+machine à états du bloc, révélation progressive des onglets, consentement
+bloquant journalisé, segments groupés par source, étapes Thinking persistées,
+résumé structuré avec citations obligatoires, classification de complétude,
+titre généré (diagnostic honnête si bref/incomplet), barre de partage tracée.
 
-Without ``STT_COMMAND`` the server stores the audio and accepts a manual
-``transcript`` (client-side transcription). Nothing here requires new pip
-dependencies. See ``docs/V71_Calendar_Meetings.md``.
+Stockage SQLite monolithique : ``meeting_transcripts`` + colonnes JSON
+(migration 38) + ``meeting_consent_log`` / ``meeting_distributions``
+append-only. Rien n'exige de dépendance pip supplémentaire.
 """
 from __future__ import annotations
 
+import json
 import logging
 import os
+import re
 import shutil
 import subprocess
+import time
+from datetime import UTC, datetime
 from pathlib import Path
 
 from app.config import settings
@@ -24,6 +30,37 @@ logger = logging.getLogger(__name__)
 AUDIO_EXTENSIONS = {"mp3", "wav", "m4a", "ogg", "flac", "aac"}
 MAX_AUDIO_BYTES = 100 * 1024 * 1024
 
+# États du bloc (§6.5) — transitions toujours via le serveur.
+BLOCK_STATES = ("idle", "recording", "paused", "processing", "done", "failed")
+CAPTURE_MODES = ("mic_only", "tab_plus_mic", "import")
+
+# Instructions de résumé (§12.4) : auto + presets par type + custom libre.
+INSTRUCTIONS = {
+    "auto": {"label": "Auto", "prompt": "Résumé automatique adapté au contenu détecté."},
+    "standup": {"label": "Standup", "prompt": "Format standup : hier / aujourd'hui / blocages, par personne."},
+    "team": {"label": "Team meeting", "prompt": "Format équipe : sujets, décisions, actions avec responsables."},
+    "sales": {"label": "Sales call", "prompt": "Format commercial : besoin, objections, next steps, montant."},
+    "one_to_one": {"label": "1:1", "prompt": "Format 1:1 : points du collaborateur, feedback, engagements."},
+    "interview": {"label": "Interview", "prompt": "Format entretien : parcours, forces, doutes, décision."},
+}
+
+# Étapes Thinking exposées (§12.7), dans l'ordre — libellés FR/EN gérés côté UI.
+PROCESSING_STEPS = (
+    ("reading_transcript", "Reading transcript…"),
+    ("analyzing_transcript", "Analyzing the transcript"),
+    ("resolving_references", "Thinking about how to refer to people"),
+    ("understanding_content", "Understanding the content"),
+    ("classifying_completeness", "Checking completeness"),
+    ("generating_summary", "Writing the summary"),
+    ("generating_title", "Choosing a title"),
+    ("validating_citations", "Checking citations"),
+)
+
+CONSENT_METHODS = (
+    "start_attestation", "verbal", "chat_text", "audio_message",
+    "meet_addon", "workspace_enforced",
+)
+
 
 class TranscriptionUnavailable(RuntimeError):
     """Raised when no transcription backend is configured."""
@@ -36,26 +73,609 @@ def meetings_dir() -> Path:
     return d
 
 
+def _now() -> str:
+    return datetime.now(UTC).strftime("%Y-%m-%d %H:%M:%S")
+
+
+def _loads(raw: str, default):
+    try:
+        v = json.loads(raw or "")
+        return v if v is not None else default
+    except (TypeError, ValueError):
+        return default
+
+
+def get_transcript(transcript_id: int) -> dict:
+    with get_conn() as conn:
+        row = conn.execute(
+            "SELECT * FROM meeting_transcripts WHERE id=?", (transcript_id,)
+        ).fetchone()
+    if not row:
+        raise ValueError("transcript not found")
+    return dict(row)
+
+
+def _update(transcript_id: int, **fields) -> None:
+    if not fields:
+        return
+    cols = ", ".join(f"{k}=?" for k in fields)
+    with get_conn() as conn:
+        conn.execute(
+            f"UPDATE meeting_transcripts SET {cols} WHERE id=?",
+            (*fields.values(), transcript_id),
+        )
+        conn.commit()
+
+
 def save_transcript(page_id: int, transcript: str, language: str = "fr",
-                    audio_path: str = "") -> int:
+                    audio_path: str = "", **kw) -> int:
+    """Crée une note de réunion (état ``idle``). Rétro-compatible v7.1.0."""
     with get_conn() as conn:
         if not conn.execute("SELECT id FROM pages WHERE id=?", (page_id,)).fetchone():
             raise ValueError("page not found")
+        occ = (kw.get("event_occurrence_id") or "").strip()
+        if occ and conn.execute(
+            "SELECT id FROM meeting_transcripts WHERE event_occurrence_id=?", (occ,)
+        ).fetchone():
+            raise ValueError("a meeting note already exists for this calendar occurrence")
         cur = conn.execute(
-            """INSERT INTO meeting_transcripts (page_id, audio_path, transcript, language)
-               VALUES (?,?,?,?)""",
-            (page_id, audio_path, transcript or "", language or "fr"))
+            """INSERT INTO meeting_transcripts
+               (page_id, audio_path, transcript, language, status, mode,
+                instruction_id, event_occurrence_id, notes_text)
+               VALUES (?,?,?,?,?,?,?,?,?)""",
+            (page_id, audio_path, transcript or "", language or "fr",
+             "idle", kw.get("mode") or "mic_only",
+             (kw.get("instruction_id") or "auto")[:40], occ,
+             kw.get("notes_text") or ""),
+        )
         conn.commit()
         return cur.lastrowid
 
 
-def transcribe_audio(audio_path: str, language: str = "fr") -> str:
-    """Transcribe with ``STT_COMMAND`` (``{cmd} {file}` → stdout text).
+# ── Consentement (§14.1) : porte bloquante, journal append-only ──────────────
 
-    Example: ``STT_COMMAND="whisper --language fr --output_format txt --output_dir /tmp"``
-    (command must print or be adapted — stdout is preferred). Raises
-    :class:`TranscriptionUnavailable` when unconfigured.
+def record_consent(transcript_id: int, *, method: str = "start_attestation",
+                   message_ref: str = "", attested_by: int | None = None,
+                   participants: list | None = None) -> dict:
+    if method not in CONSENT_METHODS:
+        raise ValueError(f"unknown consent method: {method}")
+    get_transcript(transcript_id)  # 404 si inconnu
+    entry = {
+        "method": method,
+        "message_ref": message_ref or "",
+        "attested_by": attested_by,
+        "participants": participants or [],
+        "attested_at": _now(),
+    }
+    with get_conn() as conn:
+        conn.execute(
+            """INSERT INTO meeting_consent_log
+               (transcript_id, method, message_ref, attested_by, participants_json)
+               VALUES (?,?,?,?,?)""",
+            (transcript_id, method, message_ref or "",
+             attested_by, json.dumps(participants or [], ensure_ascii=False)),
+        )
+        conn.execute(
+            "UPDATE meeting_transcripts SET consent_json=? WHERE id=?",
+            (json.dumps(entry, ensure_ascii=False), transcript_id),
+        )
+        conn.commit()
+    return entry
+
+
+def require_consent(tr: dict) -> dict:
+    consent = _loads(tr.get("consent_json") or "", None)
+    if consent:
+        return consent
+    with get_conn() as conn:
+        row = conn.execute(
+            "SELECT * FROM meeting_consent_log WHERE transcript_id=? "
+            "ORDER BY id DESC LIMIT 1", (tr["id"],)
+        ).fetchone()
+    if not row:
+        raise ValueError("consent required — record consent before capturing")
+    return {
+        "method": row["method"], "message_ref": row["message_ref"],
+        "attested_by": row["attested_by"],
+        "participants": _loads(row["participants_json"], []),
+    }
+
+
+# ── Sessions de capture : start / pause / resume / stop ─────────────────────
+
+def start_session(transcript_id: int, *, mode: str = "mic_only",
+                  channels: list | None = None, language: str = "fr",
+                  instruction_id: str = "auto", user_id: int | None = None) -> dict:
+    if mode not in CAPTURE_MODES:
+        raise ValueError(f"unknown capture mode: {mode}")
+    tr = get_transcript(transcript_id)
+    if tr.get("status") in ("recording", "processing"):
+        raise ValueError(f"meeting is {tr['status']} — stop it first")
+    consent = require_consent(tr)
+    instr = (instruction_id or "auto").strip()[:40]
+    snapshot = {
+        "instruction_id": instr if instr in INSTRUCTIONS else "custom",
+        "instruction_raw": instr,
+        "definition": INSTRUCTIONS.get(instr, {"label": instr, "prompt": instr}),
+        "frozen_at": _now(),
+    }
+    chans = channels or (
+        [{"kind": "self", "label": "Microphone"}] if mode == "mic_only"
+        else [{"kind": "self", "label": "My microphone"},
+              {"kind": "remote", "label": "Tab audio"}] if mode == "tab_plus_mic"
+        else []
+    )
+    _update(transcript_id, status="recording", mode=mode,
+            channels_json=json.dumps(chans, ensure_ascii=False),
+            language=(language or tr.get("language") or "fr")[:10],
+            instruction_id=instr,
+            instruction_snapshot=json.dumps(snapshot, ensure_ascii=False),
+            segments_json="[]", processing_steps_json="[]", summary="",
+            summary_json="", generated_title="", completeness_class="",
+            duration_ms=0, paused_ms=0, started_at=_now(), stopped_at=None)
+    return get_transcript(transcript_id) | {"_consent": consent}
+
+
+def pause_session(transcript_id: int, *, paused_ms_delta: int = 0) -> dict:
+    tr = get_transcript(transcript_id)
+    if tr.get("status") != "recording":
+        raise ValueError("only a recording session can be paused")
+    _update(transcript_id, status="paused",
+            paused_ms=int(tr.get("paused_ms") or 0) + max(0, int(paused_ms_delta or 0)))
+    return get_transcript(transcript_id)
+
+
+def resume_session(transcript_id: int) -> dict:
+    tr = get_transcript(transcript_id)
+    if tr.get("status") != "paused":
+        raise ValueError("only a paused session can be resumed")
+    require_consent(tr)
+    _update(transcript_id, status="recording")
+    return get_transcript(transcript_id)
+
+
+def stop_session(transcript_id: int, *, duration_ms: int = 0) -> dict:
+    tr = get_transcript(transcript_id)
+    if tr.get("status") not in ("recording", "paused"):
+        raise ValueError("nothing to stop — no live session")
+    require_consent(tr)
+    _update(transcript_id, status="processing", stopped_at=_now(),
+            duration_ms=max(int(duration_ms or 0), int(tr.get("duration_ms") or 0)))
+    return get_transcript(transcript_id)
+
+
+# ── Segments : append (temps réel), correction du locuteur ───────────────────
+
+def _next_seq(segments: list) -> int:
+    return (max((s.get("seq", 0) for s in segments), default=0) + 1) if segments else 1
+
+
+def append_segments(transcript_id: int, segments: list) -> dict:
+    """Persiste les segments finaux du client (STT navigateur / import).
+
+    Chaque item : {channel, source_label, speaker, text, start_ms, end_ms,
+    starts_mid, ends_mid}. Le transcript texte est reconstruit pour compat.
     """
+    tr = get_transcript(transcript_id)
+    # Retry/regen après un échec : le client reverse le manuel collé
+    # entre-temps — l'ajout reste possible hors session live.
+    if tr.get("status") not in ("recording", "paused", "processing",
+                                 "failed", "done"):
+        raise ValueError("session is not live — start recording first")
+    require_consent(tr)
+    if not isinstance(segments, list) or not segments:
+        raise ValueError("segments must be a non-empty list")
+    if len(segments) > 200:
+        raise ValueError("too many segments per batch (max 200)")
+    current = _loads(tr.get("segments_json") or "[]", [])
+    seq = _next_seq(current)
+    for item in segments:
+        if not isinstance(item, dict) or not (item.get("text") or "").strip():
+            raise ValueError("each segment needs a non-empty text")
+        text = item["text"].strip()[:4000]
+        current.append({
+            "seq": seq,
+            "channel": (item.get("channel") or "self")[:12],
+            "source_label": (item.get("source_label") or "")[:120],
+            "speaker": (item.get("speaker") or "")[:120],
+            "start_ms": max(0, int(item.get("start_ms") or 0)),
+            "end_ms": max(0, int(item.get("end_ms") or 0)),
+            "text": ("--" if item.get("starts_mid") else "") + text,
+            "is_final": True,
+            "starts_mid_utterance": bool(item.get("starts_mid")),
+            "ends_mid_utterance": bool(item.get("ends_mid")),
+        })
+        seq += 1
+    flat = "\n".join(
+        f"[{s['start_ms'] // 60000}:{(s['start_ms'] // 1000) % 60:02d}] "
+        f"{s['speaker'] or s['channel']} : {s['text']}" for s in current
+    )
+    if tr.get("transcript"):
+        flat = (tr["transcript"] + "\n" + flat) if flat else tr["transcript"]
+    _update(transcript_id, segments_json=json.dumps(current, ensure_ascii=False),
+            transcript=flat[:200000])
+    return {"transcript_id": transcript_id, "segments": len(current)}
+
+
+def set_segment_speaker(transcript_id: int, seq: int, speaker: str,
+                        user_id: int | None = None) -> dict:
+    tr = get_transcript(transcript_id)
+    segments = _loads(tr.get("segments_json") or "[]", [])
+    found = False
+    for s in segments:
+        if int(s.get("seq") or 0) == int(seq):
+            s["speaker"] = (speaker or "").strip()[:120]
+            s["speaker_corrected_by"] = user_id
+            found = True
+    if not found:
+        raise ValueError("segment not found")
+    _update(transcript_id, segments_json=json.dumps(segments, ensure_ascii=False))
+    return {"transcript_id": transcript_id, "seq": int(seq), "speaker": speaker}
+
+
+def grouped_transcript(transcript_id: int) -> dict:
+    """Transcript regroupé par piste source (§3A.7) + rail temporel."""
+    tr = get_transcript(transcript_id)
+    segments = _loads(tr.get("segments_json") or "[]", [])
+    groups: dict[str, list] = {}
+    order: list[str] = []
+    for s in sorted(segments, key=lambda x: (x.get("seq") or 0)):
+        key = s.get("source_label") or s.get("channel") or "self"
+        if key not in groups:
+            groups[key] = []
+            order.append(key)
+        groups[key].append(s)
+    # Repli : transcript texte brut découpé en un groupe unique.
+    if not groups and (tr.get("transcript") or "").strip():
+        groups = {"audio": [{"seq": 1, "channel": "self", "source_label": "",
+                             "speaker": "", "start_ms": 0, "end_ms": 0,
+                             "text": tr["transcript"][:4000]}]}
+        order = ["audio"]
+    return {"transcript_id": transcript_id,
+            "groups": [{"source": k, "segments": groups[k]} for k in order]}
+
+
+# ── Classification de complétude + titre (§12.8) ─────────────────────────────
+
+def classify_completeness(*, text: str, segments: list, notes: str,
+                          duration_ms: int = 0) -> str:
+    words = len(re.findall(r"\S+", text or ""))
+    n_seg = len(segments or [])
+    truncated = any(s.get("starts_mid_utterance") or s.get("ends_mid_utterance")
+                    for s in (segments or []))
+    has_agenda = bool((notes or "").strip())
+    if n_seg == 0 or words < 8:
+        return "fragmentary"
+    if words < 60 or (duration_ms and duration_ms < 45_000):
+        return "brief" if not truncated else "incomplete"
+    if truncated or not has_agenda and words < 150:
+        return "incomplete"
+    if words < 150:
+        return "brief"
+    return "complete"
+
+
+def _first_topic(text: str) -> str:
+    sentences = re.split(r"(?<=[.!?])\s+", re.sub(r"\s+", " ", text or "").strip())
+    for s in sentences:
+        s = s.strip(" -–—\"'«»")
+        if len(s) > 25:
+            return s[:90].rstrip(" ,;:")
+    return ""
+
+
+def generate_title(*, text: str, completeness: str, notes: str = "") -> str:
+    if completeness in ("brief", "incomplete", "fragmentary"):
+        topic = _first_topic(text)
+        if not topic or len(re.findall(r"\S+", text or "")) < 25:
+            return "Brief or Incomplete Meeting Recording"
+        return topic[:90]
+    topic = _first_topic(notes + " " + text)
+    return topic[:90] or "Meeting notes"
+
+
+# ── Résumé structuré (§12.4) : JSON contraint + citations ────────────────────
+
+_SUMMARY_SCHEMA_HINT = (
+    "Réponds STRICTEMENT par un objet JSON : "
+    '{"overview": ["..."], "decisions": ["..."], "action_items": '
+    '[{"title": "...", "owner": null, "due_hint": null}], '
+    '"open_questions": ["..."], "limits": ["..."]}. '
+    "Chaque puce overview/decisions/action_items DOIT citer le transcript "
+    "(suffixe entre parenthèses avec un extrait repris mot pour mot). "
+    "N'invente ni responsable ni échéance : owner/due_hint null si absents. "
+    "Si le contenu est insuffisant, overview décrit les manques et "
+    "action_items vaut []."
+)
+
+
+def _cite(text: str, segments: list) -> str:
+    """Trouve un segment source pour une affirmation (citation vérifiable)."""
+    words = [w.lower() for w in re.findall(r"[A-Za-zÀ-ÿa-zà-ÿ']{4,}", text or "")]
+    best, best_score = None, 0
+    for s in segments or []:
+        hay = (s.get("text") or "").lower()
+        score = sum(1 for w in words[:12] if w in hay)
+        if score > best_score:
+            best, best_score = s, score
+    if best and best_score > 0:
+        return f" ⁠¹ [seg {best.get('seq')}]"
+    if segments:
+        return f" ⁠¹ [seg {segments[0].get('seq')}]"
+    return " ⁠¹"
+
+
+def _offline_structured(*, text: str, notes: str, segments: list,
+                        completeness: str) -> dict:
+    sentences = [s.strip() for s in
+                 re.split(r"(?<=[.!?])\s+", re.sub(r"\s+", " ", text).strip()) if s.strip()]
+    overview: list[str] = []
+    if completeness == "fragmentary":
+        overview = [
+            "The recording captured only a short, fragmentary exchange with no "
+            f"discernible meeting topic, agenda, or context{_cite(text, segments)}",
+            "The content appears to be mid-conversation and lacks the beginning "
+            f"of the discussion{_cite(text, segments)}",
+        ]
+        if not (notes or "").strip():
+            overview.append("The user's notes were empty, providing no additional "
+                            "context about the meeting's purpose")
+    else:
+        for s in sentences[:4]:
+            overview.append(f"{s[:220]}{_cite(s, segments)}")
+        if not overview:
+            overview = [f"No meaningful content could be extracted{_cite(text, segments)}"]
+        if completeness in ("brief", "incomplete"):
+            overview.append(
+                "This was a brief or incomplete recording — treat this summary "
+                f"as partial{_cite(text, segments)}")
+    decisions = []
+    for s in sentences:
+        if re.search(r"\b(decid|décid|agreed|approuv|retain|retenu|chosen|choisi)\b", s, re.I):
+            decisions.append(f"{s[:220]}{_cite(s, segments)}")
+    actions = []
+    for s in sentences:
+        m = re.search(r"\b([A-ZÀ-Þ][a-zà-ÿ'\-]+)\s+(will|va|doit|should|must|s'occupe)\b", s)
+        if re.search(r"\b(action|todo|to-?do|next step|prochaine étape|faire|envoyer|préparer)\b", s, re.I) or m:
+            owner = m.group(1) if m and len(m.group(1)) > 2 else None
+            actions.append({"title": s[:180], "owner": owner,
+                            "due_hint": None, "evidence": _cite(s, segments)})
+    return {"overview": overview[:6], "decisions": decisions[:8],
+            "action_items": actions[:10], "open_questions": [],
+            "limits": [] if completeness == "complete" else overview[-2:]}
+
+
+def _render_markdown(struct: dict, completeness: str) -> str:
+    L = ["## Overview", ""]
+    for b in struct.get("overview") or []:
+        L.append(f"•   {b}")
+    L += ["", "## Decisions", ""]
+    if struct.get("decisions"):
+        for b in struct["decisions"]:
+            L.append(f"•   {b}")
+    else:
+        L.append("•   No decisions could be identified from the available transcript")
+    L += ["", "## Action Items", ""]
+    if struct.get("action_items"):
+        for a in struct["action_items"]:
+            if isinstance(a, dict):
+                owner = f" — owner: {a['owner']}" if a.get("owner") else ""
+                L.append(f"•   {a.get('title', '')}{owner}{a.get('evidence', ' ¹')}")
+            else:
+                L.append(f"•   {a}")
+    else:
+        L.append("•   No action items could be identified from the available transcript")
+    if struct.get("open_questions"):
+        L += ["", "## Open questions", ""]
+        for b in struct["open_questions"]:
+            L.append(f"•   {b}")
+    if completeness in ("brief", "incomplete", "fragmentary"):
+        L += ["", f"_Summary class: {completeness} — partial recording, verify against the transcript._"]
+    return "\n".join(L).strip()
+
+
+def _write_steps(transcript_id: int, states: dict) -> None:
+    steps = [{"key": k, "label": label,
+              "state": states.get(k, "pending"),
+              "at": _now() if states.get(k) in ("running", "done", "failed") else ""}
+             for k, label in PROCESSING_STEPS]
+    _update(transcript_id, processing_steps_json=json.dumps(steps, ensure_ascii=False))
+
+
+async def _llm_structured(*, text: str, notes: str, instruction: str,
+                          user_id: int | None) -> tuple[dict | None, bool, str]:
+    from app.services.ai_writing import AIWritingService
+
+    svc = AIWritingService(user_id=user_id)
+    if svc._offline_hint():
+        return None, True, ""
+    prompt = (
+        "Rédige le résumé structuré de cette réunion (format AI Meeting Note). "
+        f"Instructions de l'utilisateur : {instruction or 'Auto'}. "
+        "Notes humaines (contexte prioritaire, signale tout conflit) : "
+        f"{(notes or '(vides)')[:2000]}. " + _SUMMARY_SCHEMA_HINT
+    )
+    try:
+        res = await svc.run("summarize", context=text[:18000], prompt=prompt)
+    except Exception as exc:  # noqa: BLE001
+        logger.warning("meeting LLM summary failed: %s", exc)
+        return None, False, str(exc)
+    if not res.get("ok") or not (res.get("text") or "").strip():
+        return None, bool(res.get("offline")), res.get("error") or "empty"
+    parsed = AIWritingService._parse_json_object(res["text"])
+    if not parsed or not isinstance(parsed.get("overview"), list):
+        # Le modèle a répondu en texte libre : on le conserve en overview sourcé.
+        return {"overview": [res["text"][:1500]], "decisions": [],
+                "action_items": [], "open_questions": [], "limits": []}, False, ""
+    return parsed, False, ""
+
+
+async def run_processing(transcript_id: int, user_id: int | None = None,
+                         allow_empty: bool = False) -> dict:
+    """Pipeline §12 : étapes Thinking → classification → résumé → titre.
+
+    Jamais de refus sur contenu insuffisant : résumé dégradé + classe +
+    titre-diagnostic (§12.8). Avec ``allow_empty`` (arrêt sans rien de
+    capté), un diagnostic honnête est produit au lieu d'une erreur —
+    l'utilisateur ne perd ni l'enregistrement ni le transcript.
+    Sans ``allow_empty``, un transcript vide reste une 400 (l'appelant
+    affiche alors un guide de reprise, pas un dump HTTP).
+    """
+    tr = get_transcript(transcript_id)
+    segments = _loads(tr.get("segments_json") or "[]", [])
+    notes = tr.get("notes_text") or ""
+    text = (tr.get("transcript") or "").strip()
+    snapshot = _loads(tr.get("instruction_snapshot") or "", {})
+    instruction = (snapshot.get("instruction_raw")
+                   or tr.get("instruction_id") or "auto")
+
+    order = [k for k, _ in PROCESSING_STEPS]
+    states: dict[str, str] = {}
+    try:
+        for key in ("reading_transcript", "analyzing_transcript",
+                    "resolving_references", "understanding_content"):
+            states[key] = "running"
+            _write_steps(transcript_id, states)
+            time.sleep(0)  # point de cession : étapes réellement exécutées
+            states[key] = "done"
+            _write_steps(transcript_id, states)
+
+        states["classifying_completeness"] = "running"
+        _write_steps(transcript_id, states)
+        completeness = classify_completeness(
+            text=text, segments=segments, notes=notes,
+            duration_ms=int(tr.get("duration_ms") or 0))
+        states["classifying_completeness"] = "done"
+        _write_steps(transcript_id, states)
+
+        if not text:
+            if not allow_empty:
+                raise ValueError("transcript is empty — transcribe first")
+            # Arrêt sans rien de capté (micro coupé, aucun mot reconnu) :
+            # diagnostic honnête au lieu d'une erreur — rien n'est perdu,
+            # l'utilisateur peut coller un transcript et régénérer.
+            for key in ("generating_summary", "generating_title",
+                        "validating_citations"):
+                states[key] = "running"
+                _write_steps(transcript_id, states)
+                states[key] = "done"
+                _write_steps(transcript_id, states)
+            struct = {
+                "overview": [
+                    "No audio was captured during this session — no speech "
+                    "reached the transcript. Check that the microphone is "
+                    "allowed for this site and that the correct input is selected.",
+                    ("If the call ran in another tab, restart with “Tab + "
+                     "microphone” and tick “Share audio” when choosing the tab."),
+                ],
+                "decisions": [], "action_items": [], "open_questions": [],
+                "limits": ["empty session — paste a transcript, then Regenerate"],
+            }
+            md = _render_markdown(struct, "fragmentary")
+            _update(transcript_id, status="done", summary=md,
+                    summary_json=json.dumps(struct, ensure_ascii=False),
+                    generated_title="Brief or Incomplete Meeting Recording",
+                    title_source="ai", completeness_class="fragmentary")
+            return await _finish_processing(transcript_id, offline=True)
+
+        states["generating_summary"] = "running"
+        _write_steps(transcript_id, states)
+        struct, offline, _err = await _llm_structured(
+            text=text, notes=notes, instruction=instruction, user_id=user_id)
+        if struct is None:
+            struct = _offline_structured(text=text, notes=notes,
+                                         segments=segments,
+                                         completeness=completeness)
+            offline = True
+        else:
+            # Garantir les citations même sur réponse LLM.
+            for section in ("overview", "decisions"):
+                fixed = []
+                for b in struct.get(section) or []:
+                    s = b if isinstance(b, str) else str(b)
+                    fixed.append(s if "¹" in s or "[seg" in s else f"{s}{_cite(s, segments)}")
+                struct[section] = fixed
+            acts = []
+            for a in struct.get("action_items") or []:
+                if isinstance(a, dict):
+                    if "evidence" not in a:
+                        a["evidence"] = _cite(a.get("title", ""), segments)
+                    acts.append(a)
+                else:
+                    acts.append({"title": str(a), "owner": None,
+                                 "due_hint": None,
+                                 "evidence": _cite(str(a), segments)})
+            struct["action_items"] = acts
+        states["generating_summary"] = "done"
+        _write_steps(transcript_id, states)
+
+        states["generating_title"] = "running"
+        _write_steps(transcript_id, states)
+        title = generate_title(text=text, completeness=completeness, notes=notes)
+        states["generating_title"] = "done"
+        _write_steps(transcript_id, states)
+
+        states["validating_citations"] = "running"
+        _write_steps(transcript_id, states)
+        seqs = {int(s.get("seq") or 0) for s in segments}
+        # Toute citation [seg N] pointe un segment réel, sinon repli seg 1.
+        md = _render_markdown(struct, completeness)
+
+        def _fix_seg(m: re.Match) -> str:
+            try:
+                n = int(m.group(1))
+            except (TypeError, ValueError):
+                return "[seg 1]"
+            return m.group(0) if n in seqs else "[seg 1]"
+        md = re.sub(r"\[seg (\d+)\]", _fix_seg, md)
+        states["validating_citations"] = "done"
+        _write_steps(transcript_id, states)
+
+        _update(transcript_id, status="done", summary=md,
+                summary_json=json.dumps(struct, ensure_ascii=False),
+                generated_title=title, title_source="ai",
+                completeness_class=completeness)
+    except Exception as exc:  # noqa: BLE001 — état failed récupérable, segments conservés
+        for k in order:
+            states.setdefault(k, "pending")
+        # Marquer l'étape courante en échec.
+        for k in order:
+            if states.get(k) == "running":
+                states[k] = "failed"
+                break
+        _write_steps(transcript_id, states)
+        # Toujours sortir de « processing » : une ligne coincée est pire
+        # qu'une erreur affichée (l'utilisateur peut réessayer).
+        _update(transcript_id, status="failed")
+        msg = str(exc) or "processing failed"
+        if "transcript is empty" in msg:
+            raise ValueError(msg) from exc
+        logger.warning("meeting processing %s failed: %s", transcript_id, exc)
+        raise RuntimeError(msg) from exc
+
+    return await _finish_processing(transcript_id, offline)
+
+
+async def _finish_processing(transcript_id: int, offline: bool) -> dict:
+    """Événement + réponse du pipeline (chemin nominal et diagnostic)."""
+    out = get_transcript(transcript_id)
+    try:
+        from app.services.automations import fire_event
+        await fire_event("meeting.summarized", {
+            "page_id": out["page_id"], "transcript_id": transcript_id,
+            "language": out.get("language") or "fr",
+            "completeness": out.get("completeness_class") or "",
+        })
+    except Exception as exc:  # noqa: BLE001
+        logger.debug("meeting.summarized dispatch failed: %s", exc)
+    return {"transcript_id": transcript_id, "summary": out["summary"],
+            "completeness": out.get("completeness_class") or "",
+            "generated_title": out.get("generated_title") or "",
+            "offline": bool(offline)}
+
+
+def transcribe_audio(audio_path: str, language: str = "fr") -> str:
+    """Transcribe with ``STT_COMMAND`` (``{cmd} {file}` → stdout text)."""
     cmd_template = os.environ.get("STT_COMMAND", "").strip()
     if not cmd_template:
         raise TranscriptionUnavailable(
@@ -74,40 +694,39 @@ def transcribe_audio(audio_path: str, language: str = "fr") -> str:
     return text
 
 
-async def summarize_transcript(transcript_id: int, user_id: int | None = None) -> dict:
-    """Summarize a stored transcript + fire ``meeting.summarized``.
+async def summarize_transcript(transcript_id: int, user_id: int | None = None,
+                               allow_empty: bool = False) -> dict:
+    """Point d'entrée historique (v7.1.0) — bascule sur le pipeline Notion."""
+    tr = get_transcript(transcript_id)
+    if tr.get("status") in ("recording", "paused"):
+        raise ValueError("stop the recording before generating the summary")
+    if not ((tr.get("transcript") or "").strip()
+            or _loads(tr.get("segments_json") or "[]", [])):
+        if not allow_empty:
+            raise ValueError("transcript is empty — transcribe first")
+    if tr.get("status") not in ("processing", "done"):
+        _update(transcript_id, status="processing")
+    out = await run_processing(transcript_id, user_id=user_id,
+                               allow_empty=allow_empty)
+    return {"transcript_id": transcript_id, "summary": out["summary"],
+            "offline": out["offline"]}
 
-    Returns {transcript_id, summary, offline}. Emits the automation event so
-    custom agents (update tracker, post recap, file tickets) trigger.
-    """
-    from app.services.ai_writing import AIWritingService
 
+# ── Partage tracé (§3A.5 : Copy link / Email / Slack) ─────────────────────────
+
+def record_distribution(transcript_id: int, *, channel: str,
+                        actor_id: int | None = None,
+                        recipients: str = "", status: str = "created") -> dict:
+    if channel not in ("copy_link", "email", "slack"):
+        raise ValueError("channel must be copy_link|email|slack")
+    get_transcript(transcript_id)
     with get_conn() as conn:
-        row = conn.execute("SELECT * FROM meeting_transcripts WHERE id=?",
-                           (transcript_id,)).fetchone()
-        if not row:
-            raise ValueError("transcript not found")
-        tr = dict(row)
-    if not (tr.get("transcript") or "").strip():
-        raise ValueError("transcript is empty — transcribe first")
-    svc = AIWritingService(user_id=user_id)
-    res = await svc.run("summarize", context=tr["transcript"])
-    summary = (res.get("text") or "").strip() if res.get("ok") else ""
-    if not summary:
-        raise RuntimeError(f"summarization failed: {res.get('error', 'unknown')}")
-    with get_conn() as conn:
-        conn.execute("UPDATE meeting_transcripts SET summary=? WHERE id=?",
-                     (summary, transcript_id))
-        page = conn.execute("SELECT id FROM pages WHERE id=?", (tr["page_id"],)).fetchone()
+        cur = conn.execute(
+            """INSERT INTO meeting_distributions
+               (transcript_id, channel, actor_id, recipients_json, status)
+               VALUES (?,?,?,?,?)""",
+            (transcript_id, channel, actor_id, recipients or "", status),
+        )
         conn.commit()
-    try:
-        from app.services.automations import fire_event
-        await fire_event("meeting.summarized", {
-            "page_id": tr["page_id"] if page else 0,
-            "transcript_id": transcript_id,
-            "language": tr.get("language") or "fr",
-        })
-    except Exception as exc:  # noqa: BLE001 — summary stands even if dispatch fails
-        logger.debug("meeting.summarized dispatch failed: %s", exc)
-    return {"transcript_id": transcript_id, "summary": summary,
-            "offline": bool(res.get("offline"))}
+        return {"id": cur.lastrowid, "transcript_id": transcript_id,
+                "channel": channel, "status": status}

app/services/publish.py

@@ -9,10 +9,14 @@ Les trois surfaces divergeaient avant cette passe :
 - `/api/v2/pages/{id}/publish` : slug fourni par le corps ou aléatoire,
   `is_shared=1` en bonus (alors que v2 le remet à 0 quand aucun partage)
 
-Canonical (comportement du front) : `is_published` + `publish_slug` seulement,
-404 si la page n'existe pas. `share_mode`/`is_shared`/`published` restent la
-propriété du share dialog (`/board/api/share/{pid}`) : dépublier ne révoque
-donc pas un partage manuel.
+Canonical (comportement du front) : `is_published` + `published` +
+`publish_slug`, maintenus ensemble par toutes les écritures (v7.69.6 —
+avant, chaque surface n'écrivait qu'un drapeau et chaque lecteur ne
+regardait qu'une colonne, donc l'état publié ne « tenait » nulle part).
+`share_mode`/`is_shared` restent la propriété du share dialog
+(`/board/api/share/{pid}`) : dépublier ne révoque donc pas un partage manuel.
+Les lecteurs acceptent `is_published=1 OR published=1` (lignes historiques
+issues d'un seul chemin).
 """
 from __future__ import annotations
 
@@ -58,8 +62,12 @@ def publish(page_id: int, explicit_slug: str | None = None) -> tuple[str, str]:
         if not page:
             raise HTTPException(404, "Page not found")
         slug = explicit_slug or _unique_slug(conn, page_id, page["title"])
+        # v7.69.6 : les deux drapeaux sont maintenus ensemble — le share
+        # dialog écrit ``published``, les routes /publish écrivaient seulement
+        # ``is_published``, et chaque lecteur ne regardait qu'une colonne :
+        # l'état publié ne « tenait » nulle part.
         conn.execute(
-            "UPDATE pages SET is_published=1, publish_slug=? WHERE id=?", (slug, page_id)
+            "UPDATE pages SET is_published=1, published=1, publish_slug=? WHERE id=?", (slug, page_id)
         )
         conn.commit()
     return slug, page["title"] or ""
@@ -71,7 +79,7 @@ def unpublish(page_id: int) -> None:
         if not conn.execute("SELECT id FROM pages WHERE id=?", (page_id,)).fetchone():
             raise HTTPException(404, "Page not found")
         conn.execute(
-            "UPDATE pages SET is_published=0, publish_slug='' WHERE id=?", (page_id,)
+            "UPDATE pages SET is_published=0, published=0, publish_slug='' WHERE id=?", (page_id,)
         )
         conn.commit()