"""Paperclip integration via direct DB access (embedded PostgreSQL).

Creates projects, issues, and plugin state entries to fully link
a legal-ai case into Paperclip's workflow.
"""

from __future__ import annotations

import json
import logging
import os
import uuid

import asyncpg

from web.paperclip_api import pc_request

logger = logging.getLogger(__name__)

PAPERCLIP_DB_URL = os.environ.get(
    "PAPERCLIP_DB_URL", "postgresql://paperclip:paperclip@127.0.0.1:54329/paperclip"
)

PLUGIN_ID = "53461b5a-7f58-411a-9952-72f9c8d4a328"  # marcusgroup.legal-ai
# PAPERCLIP_API_URL — moved to web.paperclip_api (used only by pc_request now).
# Direct DB calls below use PAPERCLIP_DB_URL instead.
PAPERCLIP_BOARD_API_KEY = os.environ.get("PAPERCLIP_BOARD_API_KEY", "")

# Default workspace attached to every new Paperclip project — points agents at
# the legal-ai source tree on the host. Override via env if the path differs.
LEGAL_AI_WORKSPACE_CWD = os.environ.get("LEGAL_AI_WORKSPACE_CWD", "/home/chaim/legal-ai")
LEGAL_AI_WORKSPACE_NAME = os.environ.get("LEGAL_AI_WORKSPACE_NAME", "legal-ai")

# Company IDs from Paperclip DB
COMPANIES = {
    "licensing": "42a7acd0-30c5-4cbd-ac97-7424f65df294",   # CMP — רישוי ובניה
    "betterment": "8639e837-4c9d-47fa-a76b-95788d651896",  # CMPA — היטלי השבחה
}

# CEO agent per company — used for wakeup routing
CEO_AGENTS = {
    COMPANIES["licensing"]: "752cebdd-6748-4a04-aacd-c7ab0294ef33",   # CMP CEO
    COMPANIES["betterment"]: "cdbfa8bc-3d61-41a4-a2e7-677ec7d34562",  # CMPA CEO
}
# Default for backwards compat
CEO_AGENT_ID = CEO_AGENTS[COMPANIES["licensing"]]

# Knowledge Curator (Hermes) agent per company — woken after a case is
# marked final, to analyze the signed decision and propose updates to
# the style guide / lessons. POC stage 1.
CURATOR_AGENTS = {
    COMPANIES["licensing"]: "60dce831-5c5b-4bae-bda9-5282d506f0dc",   # CMP curator
    COMPANIES["betterment"]: "d6f7c55d-570a-46b8-8d72-1286d07da0d8",  # CMPA curator
}

# Fallback mapping — used only when DB lookup returns no results
_FALLBACK_APPEAL_TYPE_TO_COMPANY = {
    "רישוי": COMPANIES["licensing"],
    "היטל השבחה": COMPANIES["betterment"],
    "פיצויים": COMPANIES["betterment"],
    "building_permit": COMPANIES["licensing"],
    "betterment_levy": COMPANIES["betterment"],
    "compensation_197": COMPANIES["betterment"],
    "compensation": COMPANIES["betterment"],
    "licensing": COMPANIES["licensing"],
}

# Legal-AI DB URL for reading tag_company_mappings
_LEGAL_DB_URL = os.environ.get("POSTGRES_URL") or os.environ.get(
    "DATABASE_URL", "postgresql://legal:legal@127.0.0.1:5432/legal_ai"
)


async def _get_company_id(appeal_type: str) -> str:
    """Resolve appeal_type tag to a Paperclip company ID via DB mappings, with fallback."""
    try:
        conn = await asyncpg.connect(_LEGAL_DB_URL)
        try:
            row = await conn.fetchrow(
                "SELECT company_id FROM tag_company_mappings WHERE tag = $1 LIMIT 1",
                appeal_type,
            )
            if row:
                return row["company_id"]
        finally:
            await conn.close()
    except Exception:
        logger.debug("DB lookup for tag mapping failed, using fallback for '%s'", appeal_type)

    return _FALLBACK_APPEAL_TYPE_TO_COMPANY.get(appeal_type, COMPANIES["licensing"])


async def create_project(
    case_number: str,
    title: str,
    description: str = "",
    appeal_type: str = "רישוי",
    color: str = "#6366f1",
) -> dict:
    """Create a project in the Paperclip embedded DB, or return existing one."""
    company_id = await _get_company_id(appeal_type)

    conn = await asyncpg.connect(PAPERCLIP_DB_URL)
    try:
        # Resolve prefix from company issue_prefix in Paperclip DB
        comp_row = await conn.fetchrow(
            "SELECT issue_prefix FROM companies WHERE id = $1::uuid", company_id,
        )
        prefix = comp_row["issue_prefix"] if comp_row and comp_row["issue_prefix"] else "CMP"

        # Check for existing project with this case number
        existing = await conn.fetchrow(
            "SELECT id, name FROM projects WHERE name LIKE $1 AND company_id = $2::uuid",
            f"%{case_number}%", company_id,
        )
        if existing:
            # Backfill: ensure legacy projects also have a default workspace.
            await _ensure_default_workspace(conn, str(existing["id"]), company_id)
            return {
                "id": str(existing["id"]),
                "company_id": company_id,
                "name": existing["name"],
                "url": f"https://pc.nautilus.marcusgroup.org/{prefix}/projects/{existing['id']}/issues",
                "existing": True,
            }

        project_id = str(uuid.uuid4())
        project_name = f"ערר {case_number} — {title}"[:200]
        await conn.execute(
            """INSERT INTO projects (id, company_id, name, description, status, color)
               VALUES ($1, $2::uuid, $3, $4, 'backlog', $5)""",
            project_id, company_id, project_name, description[:500] if description else "", color,
        )
        # Default primary workspace — points agents at the legal-ai source tree.
        await _ensure_default_workspace(conn, project_id, company_id)
        # Create initial issue linked to the project
        issue_id, identifier = await _create_issue(
            conn, company_id, project_id, case_number, title, prefix,
        )

        # Link issue to legal-ai case via plugin state
        await _link_case_to_issue(conn, issue_id, case_number)

        # Verify project creation and close the setup issue
        await _verify_and_close_setup_issue(conn, project_id, issue_id, identifier, case_number)

        return {
            "id": project_id,
            "company_id": company_id,
            "name": project_name,
            "issue_id": issue_id,
            "issue_identifier": identifier,
            "url": f"https://pc.nautilus.marcusgroup.org/{prefix}/projects/{project_id}/issues",
            "existing": False,
        }
    finally:
        await conn.close()


async def archive_project(case_number: str) -> dict:
    """Set archived_at on the Paperclip project matching this case number,
    and cancel any open issues so the legal-ai UI's agent widget stops
    reporting "agents are working" on a closed case.

    The project is identified by `name LIKE '%{case_number}%'` (consistent with
    `create_project`'s lookup). Idempotent — re-archiving a project that's
    already archived returns the existing timestamp without re-cancelling
    issues that have already been completed.
    """
    # Issue statuses considered "open" — anything not done/cancelled.
    OPEN_STATUSES = ("backlog", "todo", "in_progress", "blocked", "in_review")

    conn = await asyncpg.connect(PAPERCLIP_DB_URL)
    try:
        row = await conn.fetchrow(
            """UPDATE projects
               SET archived_at = COALESCE(archived_at, now()),
                   updated_at = now()
               WHERE name LIKE $1 RETURNING id, name, archived_at""",
            f"%{case_number}%",
        )
        if not row:
            return {"status": "not_found", "case_number": case_number}

        cancelled = await conn.fetch(
            """UPDATE issues
               SET status = 'cancelled',
                   cancelled_at = now(),
                   updated_at = now()
               WHERE project_id = $1 AND status = ANY($2::text[])
               RETURNING identifier, title""",
            row["id"], list(OPEN_STATUSES),
        )

        return {
            "status": "archived",
            "project_id": str(row["id"]),
            "name": row["name"],
            "archived_at": row["archived_at"].isoformat() if row["archived_at"] else None,
            "issues_cancelled": [
                {"identifier": r["identifier"], "title": r["title"]}
                for r in cancelled
            ],
        }
    finally:
        await conn.close()


async def restore_project(case_number: str) -> dict:
    """Clear archived_at on the Paperclip project matching this case number.

    Idempotent — if already active, returns success without changes.
    """
    conn = await asyncpg.connect(PAPERCLIP_DB_URL)
    try:
        row = await conn.fetchrow(
            """UPDATE projects
               SET archived_at = NULL,
                   updated_at = now()
               WHERE name LIKE $1 RETURNING id, name""",
            f"%{case_number}%",
        )
        if not row:
            return {"status": "not_found", "case_number": case_number}
        return {
            "status": "restored",
            "project_id": str(row["id"]),
            "name": row["name"],
        }
    finally:
        await conn.close()


async def _ensure_default_workspace(
    conn: asyncpg.Connection,
    project_id: str,
    company_id: str,
) -> None:
    """Idempotently attach a primary workspace to the project so the
    "סביבות עבודה" tab appears in the Paperclip UI and agents wake up with
    cwd=`/home/chaim/legal-ai`. No-op if any workspace already exists.
    """
    existing = await conn.fetchval(
        "SELECT id FROM project_workspaces WHERE project_id = $1::uuid LIMIT 1",
        project_id,
    )
    if existing:
        return

    await conn.execute(
        """INSERT INTO project_workspaces
               (company_id, project_id, name, cwd, is_primary, source_type, visibility)
           VALUES ($1::uuid, $2::uuid, $3, $4, TRUE, 'local_path', 'default')""",
        company_id, project_id, LEGAL_AI_WORKSPACE_NAME, LEGAL_AI_WORKSPACE_CWD,
    )
    logger.info(
        "Attached default workspace (cwd=%s) to project %s",
        LEGAL_AI_WORKSPACE_CWD, project_id,
    )


async def _create_issue(
    conn: asyncpg.Connection,
    company_id: str,
    project_id: str,
    case_number: str,
    title: str,
    prefix: str,
) -> tuple[str, str]:
    """Create an issue in the project and return (issue_id, identifier)."""
    issue_id = str(uuid.uuid4())

    # Get next issue number for this company
    row = await conn.fetchrow(
        "UPDATE companies SET issue_counter = issue_counter + 1 WHERE id = $1::uuid RETURNING issue_counter",
        company_id,
    )
    issue_number = row["issue_counter"]
    identifier = f"{prefix}-{issue_number}"

    # Assign to the company's CEO so Paperclip's wakeup gate
    # (heartbeat staleness check) accepts the wakeup. Without this,
    # the run is cancelled with "issue assignee changed before the
    # queued run could start" and the agent never starts.
    ceo_agent_id = CEO_AGENTS.get(company_id, CEO_AGENT_ID)

    await conn.execute(
        """INSERT INTO issues (id, company_id, project_id, title, description, status, priority, issue_number, identifier, assignee_agent_id)
           VALUES ($1, $2::uuid, $3::uuid, $4, $5, 'todo', 'medium', $6, $7, $8::uuid)""",
        issue_id, company_id, project_id,
        f"[ערר {case_number}] {title}"[:200],
        f"תיק ערר {case_number}\nנוצר אוטומטית מממשק העלאת מסמכים",
        issue_number, identifier, ceo_agent_id,
    )

    logger.info("Created Paperclip issue %s: [ערר %s] %s", identifier, case_number, title)
    return issue_id, identifier


async def _link_case_to_issue(conn: asyncpg.Connection, issue_id: str, case_number: str) -> None:
    """Store the legal-ai case number in plugin state, linked to the issue."""
    await conn.execute(
        """INSERT INTO plugin_state (plugin_id, scope_kind, scope_id, namespace, state_key, value_json)
           VALUES ($1::uuid, 'issue', $2, 'default', 'legal-case-number', $3::jsonb)
           ON CONFLICT (plugin_id, scope_kind, scope_id, namespace, state_key) DO UPDATE SET value_json = $3::jsonb""",
        PLUGIN_ID, issue_id, json.dumps(case_number),
    )
    logger.info("Linked issue %s to case %s via plugin state", issue_id, case_number)


async def _verify_and_close_setup_issue(
    conn: asyncpg.Connection,
    project_id: str,
    issue_id: str,
    identifier: str,
    case_number: str,
) -> None:
    """Verify the project was created correctly, then transition the setup issue to done."""
    # Move to in_progress while verifying
    await conn.execute(
        "UPDATE issues SET status = 'in_progress', started_at = now() WHERE id = $1",
        issue_id,
    )
    logger.info("%s: בביצוע — מאמת יצירת פרויקט", identifier)

    # Verify: project exists, issue is linked, plugin state exists
    checks = []

    project = await conn.fetchrow("SELECT id, name FROM projects WHERE id = $1::uuid", project_id)
    checks.append(("פרויקט נוצר", project is not None))

    issue = await conn.fetchrow(
        "SELECT id, project_id FROM issues WHERE id = $1 AND project_id = $2::uuid",
        issue_id, project_id,
    )
    checks.append(("משימה משויכת לפרויקט", issue is not None))

    plugin_link = await conn.fetchrow(
        "SELECT value_json FROM plugin_state WHERE scope_id = $1 AND state_key = 'legal-case-number'",
        issue_id,
    )
    checks.append(("קישור למערכת המשפטית", plugin_link is not None))

    all_ok = all(ok for _, ok in checks)
    report_lines = [f"{'✓' if ok else '✕'} {name}" for name, ok in checks]
    report = "\n".join(report_lines)

    if all_ok:
        await conn.execute(
            "UPDATE issues SET status = 'done', completed_at = now() WHERE id = $1",
            issue_id,
        )
        # Document the verification in a comment
        await conn.execute(
            """INSERT INTO issue_comments (id, company_id, issue_id, body)
               VALUES ($1, (SELECT company_id FROM issues WHERE id = $2), $2,
               $3)""",
            str(uuid.uuid4()), issue_id,
            f"## אימות יצירת פרויקט — ערר {case_number}\n\n{report}\n\nהפרויקט נוצר בהצלחה. משימה נסגרה אוטומטית.",
        )
        logger.info("%s: הושלם — פרויקט אומת ונסגר", identifier)
    else:
        # Leave in_progress with a warning comment
        failed = [name for name, ok in checks if not ok]
        await conn.execute(
            """INSERT INTO issue_comments (id, company_id, issue_id, body)
               VALUES ($1, (SELECT company_id FROM issues WHERE id = $2), $2,
               $3)""",
            str(uuid.uuid4()), issue_id,
            f"## אימות יצירת פרויקט — ערר {case_number}\n\n{report}\n\n⚠️ בדיקות שנכשלו: {', '.join(failed)}",
        )
        logger.warning("%s: אימות נכשל — %s", identifier, ", ".join(failed))


async def get_project_url(case_number: str) -> str | None:
    """Find existing Paperclip project for a case number."""
    conn = await asyncpg.connect(PAPERCLIP_DB_URL)
    try:
        row = await conn.fetchrow(
            "SELECT id, company_id FROM projects WHERE name LIKE $1",
            f"%{case_number}%",
        )
        if row:
            comp_row = await conn.fetchrow(
                "SELECT issue_prefix FROM companies WHERE id = $1::uuid", str(row["company_id"]),
            )
            prefix = comp_row["issue_prefix"] if comp_row and comp_row["issue_prefix"] else "CMP"
            return f"https://pc.nautilus.marcusgroup.org/{prefix}/projects/{row['id']}/issues"
        return None
    finally:
        await conn.close()


async def create_workflow_issue(case_number: str, title: str) -> dict:
    """Create a workflow issue in the existing Paperclip project for a case.

    Returns dict with issue_id, identifier, project_url.
    Raises ValueError if no project found.
    """
    conn = await asyncpg.connect(PAPERCLIP_DB_URL)
    try:
        # Find existing project
        row = await conn.fetchrow(
            "SELECT id, company_id FROM projects WHERE name LIKE $1",
            f"%{case_number}%",
        )
        if not row:
            raise ValueError(f"No Paperclip project found for case {case_number}")

        project_id = str(row["id"])
        company_id = str(row["company_id"])

        # Get company prefix
        comp_row = await conn.fetchrow(
            "SELECT issue_prefix FROM companies WHERE id = $1::uuid", company_id,
        )
        prefix = comp_row["issue_prefix"] if comp_row and comp_row["issue_prefix"] else "CMP"

        # Create the workflow issue
        issue_id, identifier = await _create_issue(
            conn, company_id, project_id, case_number,
            f"התחל תהליך ניסוח — {title}"[:200], prefix,
        )

        # Link to legal-ai case via plugin state
        await _link_case_to_issue(conn, issue_id, case_number)

        project_url = f"https://pc.nautilus.marcusgroup.org/{prefix}/projects/{project_id}/issues"
        logger.info("Created workflow issue %s for case %s", identifier, case_number)

        return {
            "issue_id": issue_id,
            "identifier": identifier,
            "company_id": company_id,
            "project_url": project_url,
        }
    finally:
        await conn.close()


async def get_case_issues(case_number: str) -> list[dict]:
    """Get all Paperclip issues linked to a legal-ai case number.

    Matches via two paths to avoid missing historical issues:
      (a) the original setup linkage in plugin_state (state_key = legal-case-number)
      (b) issues whose title contains "[ערר {case_number}]" or "ערר {case_number}"
          — that's how sub-agents conventionally tag follow-up issues.
    Returns the union of both, deduplicated by issue id, ordered by creation time.
    """
    title_patterns = [f"%[ערר {case_number}]%", f"%ערר {case_number}%"]
    conn = await asyncpg.connect(PAPERCLIP_DB_URL)
    try:
        rows = await conn.fetch(
            """SELECT DISTINCT ON (i.id)
                      i.id, i.title, i.status, i.identifier, i.priority,
                      i.assignee_agent_id, a.name AS assignee_name,
                      i.started_at, i.completed_at, i.created_at, i.company_id
               FROM issues i
               LEFT JOIN agents a ON i.assignee_agent_id = a.id
               LEFT JOIN plugin_state ps ON ps.scope_id = i.id::text
                                        AND ps.plugin_id = $1::uuid
                                        AND ps.state_key = 'legal-case-number'
                                        AND ps.value_json = $2::jsonb
               WHERE ps.scope_id IS NOT NULL
                  OR i.title LIKE ANY($3::text[])
               ORDER BY i.id, i.created_at""",
            PLUGIN_ID, json.dumps(case_number), title_patterns,
        )
        # Sort by created_at after dedup
        sorted_rows = sorted(rows, key=lambda r: r["created_at"])
        return [
            {
                "id": str(r["id"]),
                "title": r["title"],
                "status": r["status"],
                "identifier": r["identifier"],
                "priority": r["priority"],
                "assignee_name": r["assignee_name"],
                "started_at": r["started_at"].isoformat() if r["started_at"] else None,
                "completed_at": r["completed_at"].isoformat() if r["completed_at"] else None,
                "created_at": r["created_at"].isoformat() if r["created_at"] else None,
                "company_id": str(r["company_id"]),
            }
            for r in sorted_rows
        ]
    finally:
        await conn.close()


async def get_issue_comments(issue_ids: list[str]) -> list[dict]:
    """Get all comments on a list of Paperclip issues, with agent metadata."""
    if not issue_ids:
        return []
    conn = await asyncpg.connect(PAPERCLIP_DB_URL)
    try:
        rows = await conn.fetch(
            """SELECT ic.id, ic.issue_id, ic.body, ic.created_at,
                      ic.author_agent_id, ic.author_user_id,
                      a.name AS agent_name, a.role AS agent_role, a.icon AS agent_icon
               FROM issue_comments ic
               LEFT JOIN agents a ON ic.author_agent_id = a.id
               WHERE ic.issue_id = ANY($1::uuid[])
               ORDER BY ic.created_at""",
            issue_ids,
        )
        return [
            {
                "id": str(r["id"]),
                "issue_id": str(r["issue_id"]),
                "body": r["body"],
                "created_at": r["created_at"].isoformat() if r["created_at"] else None,
                "author_agent_id": str(r["author_agent_id"]) if r["author_agent_id"] else None,
                "author_user_id": r["author_user_id"],
                "agent_name": r["agent_name"],
                "agent_role": r["agent_role"],
                "agent_icon": r["agent_icon"],
            }
            for r in rows
        ]
    finally:
        await conn.close()


async def get_agents_for_company(company_id: str) -> list[dict]:
    """Get all agents belonging to a Paperclip company."""
    conn = await asyncpg.connect(PAPERCLIP_DB_URL)
    try:
        rows = await conn.fetch(
            """SELECT id, name, role, title, status, icon, last_heartbeat_at
               FROM agents
               WHERE company_id = $1::uuid
               ORDER BY role, name""",
            company_id,
        )
        return [
            {
                "id": str(r["id"]),
                "name": r["name"],
                "role": r["role"],
                "title": r["title"],
                "status": r["status"],
                "icon": r["icon"],
                "last_heartbeat_at": r["last_heartbeat_at"].isoformat() if r["last_heartbeat_at"] else None,
            }
            for r in rows
        ]
    finally:
        await conn.close()


async def get_agents_for_case(company_id: str, issue_ids: list[str]) -> list[dict]:
    """Get agents with per-case status (running on *this* case vs globally)."""
    conn = await asyncpg.connect(PAPERCLIP_DB_URL)
    try:
        rows = await conn.fetch(
            """SELECT a.id, a.name, a.role, a.title, a.icon,
                      a.status AS global_status, a.last_heartbeat_at,
                      EXISTS(
                        SELECT 1 FROM heartbeat_runs hr
                        JOIN agent_wakeup_requests wr ON hr.wakeup_request_id = wr.id
                        WHERE hr.agent_id = a.id
                          AND hr.status = 'running'
                          AND wr.payload->>'issueId' = ANY($2::text[])
                      ) AS active_on_case
               FROM agents a
               WHERE a.company_id = $1::uuid
               ORDER BY a.role, a.name""",
            company_id, issue_ids,
        )
        return [
            {
                "id": str(r["id"]),
                "name": r["name"],
                "role": r["role"],
                "title": r["title"],
                "status": "running" if r["active_on_case"] else (
                    "idle" if r["global_status"] == "running" else r["global_status"]
                ),
                "icon": r["icon"],
                "last_heartbeat_at": r["last_heartbeat_at"].isoformat() if r["last_heartbeat_at"] else None,
            }
            for r in rows
        ]
    finally:
        await conn.close()


async def post_comment(issue_id: str, company_id: str, body: str) -> dict:
    """Post a comment on a Paperclip issue.

    Tries the Board API first (triggers plugin events for CEO routing).
    Falls back to direct DB insert + CEO wakeup if API fails.
    """
    # Try Board API first — this triggers the event bus
    if PAPERCLIP_BOARD_API_KEY:
        try:
            resp = await pc_request(
                "POST",
                f"/api/board/issues/{issue_id}/comments",
                json={"body": body},
            )
            if resp.status_code < 400:
                result = resp.json()
                logger.info("Posted comment via Board API on issue %s", issue_id)
                return {"comment_id": result.get("id", ""), "issue_id": issue_id, "method": "api"}
        except Exception:
            logger.debug("Board API comment failed for issue %s, falling back to DB", issue_id)

    # Fallback: direct DB insert + explicit CEO wakeup
    comment_id = str(uuid.uuid4())
    conn = await asyncpg.connect(PAPERCLIP_DB_URL)
    try:
        await conn.execute(
            """INSERT INTO issue_comments (id, company_id, issue_id, author_user_id, body)
               VALUES ($1, $2::uuid, $3::uuid, 'chaim', $4)""",
            comment_id, company_id, issue_id, body,
        )
        logger.info("Posted comment via DB fallback on issue %s", issue_id)
    finally:
        await conn.close()

    # Wake the correct CEO for this company
    ceo_id = CEO_AGENTS.get(company_id, CEO_AGENT_ID)
    try:
        await pc_request(
            "POST",
            f"/api/agents/{ceo_id}/wakeup",
            json={
                "source": "on_demand",
                "triggerDetail": "manual",
                "reason": f"user_comment_{issue_id}",
                "payload": {"issueId": issue_id, "mutation": "comment"},
            },
            raise_on_error=True,
        )
    except Exception:
        logger.warning("Failed to wake CEO after DB comment on issue %s", issue_id)

    return {"comment_id": comment_id, "issue_id": issue_id, "method": "db_fallback"}


async def get_issue_interactions(issue_ids: list[str]) -> list[dict]:
    """Fetch issue-thread interactions (agent → user button prompts).

    Returns all `pending` interactions plus any resolved within the last 24h
    so the user sees a brief tail of recent answers without flooding the feed.
    Ordered by ``created_at`` so callers can interleave with comments.
    """
    if not issue_ids:
        return []
    conn = await asyncpg.connect(PAPERCLIP_DB_URL)
    try:
        rows = await conn.fetch(
            """SELECT id, issue_id, kind, status, title, summary,
                      payload, result, created_at, resolved_at
               FROM issue_thread_interactions
               WHERE issue_id = ANY($1::uuid[])
                 AND (status = 'pending'
                      OR resolved_at > now() - interval '24 hours')
               ORDER BY created_at""",
            issue_ids,
        )
        out: list[dict] = []
        for r in rows:
            payload = r["payload"]
            result = r["result"]
            if isinstance(payload, str):
                try:
                    payload = json.loads(payload)
                except Exception:
                    payload = {}
            if isinstance(result, str):
                try:
                    result = json.loads(result)
                except Exception:
                    result = None
            out.append({
                "id": str(r["id"]),
                "issue_id": str(r["issue_id"]),
                "kind": r["kind"],
                "status": r["status"],
                "title": r["title"],
                "summary": r["summary"],
                "payload": payload or {},
                "result": result,
                "created_at": r["created_at"].isoformat() if r["created_at"] else None,
                "resolved_at": r["resolved_at"].isoformat() if r["resolved_at"] else None,
            })
        return out
    finally:
        await conn.close()


async def respond_to_interaction(
    issue_id: str, interaction_id: str, payload: dict,
) -> dict:
    """Submit a user response to an `ask_user_questions` interaction.

    Paperclip auto-wakes the issue assignee on success
    (`queueResolvedInteractionContinuationWakeup`).
    """
    resp = await pc_request(
        "POST",
        f"/api/issues/{issue_id}/interactions/{interaction_id}/respond",
        json=payload,
        raise_on_error=True,
    )
    return resp.json()


async def accept_interaction(
    issue_id: str, interaction_id: str, payload: dict,
) -> dict:
    """Accept a `request_confirmation` or `suggest_tasks` interaction."""
    resp = await pc_request(
        "POST",
        f"/api/issues/{issue_id}/interactions/{interaction_id}/accept",
        json=payload,
        raise_on_error=True,
    )
    return resp.json()


async def reject_interaction(
    issue_id: str, interaction_id: str, payload: dict,
) -> dict:
    """Reject a `request_confirmation` or `suggest_tasks` interaction."""
    resp = await pc_request(
        "POST",
        f"/api/issues/{issue_id}/interactions/{interaction_id}/reject",
        json=payload,
        raise_on_error=True,
    )
    return resp.json()


# Singleton project for the precedent-library extraction queue. One issue per
# uploaded precedent — assigned to the CEO who runs the local-MCP extractor.
_LIBRARY_PROJECT_NAME = "ספריית פסיקה — תור חילוץ"


async def _get_or_create_library_project(
    conn: asyncpg.Connection, company_id: str,
) -> str:
    """Return the project_id for the per-company library extraction queue,
    creating it (with a workspace pointing at legal-ai) if it doesn't exist."""
    row = await conn.fetchrow(
        "SELECT id FROM projects WHERE company_id = $1::uuid AND name = $2 LIMIT 1",
        company_id, _LIBRARY_PROJECT_NAME,
    )
    if row:
        return str(row["id"])

    project_id = str(uuid.uuid4())
    await conn.execute(
        """INSERT INTO projects (id, company_id, name, description, status, color)
           VALUES ($1, $2::uuid, $3, $4, 'backlog', $5)""",
        project_id, company_id, _LIBRARY_PROJECT_NAME,
        "תור אוטומטי לחילוץ הלכות ומטא-דאטה מפסיקה שהועלתה לספריה. "
        "כל issue כאן מייצג פסק דין שצריך לעבד — להריץ "
        "mcp__legal-ai__precedent_process_pending.",
        "#a17a3a",  # gold-ish
    )
    await _ensure_default_workspace(conn, project_id, company_id)
    logger.info("Created library extraction project %s for company %s", project_id, company_id)
    return project_id


async def wake_for_precedent_extraction(
    case_law_id: str,
    citation: str,
    practice_area: str = "",
) -> dict:
    """Trigger Claude/Paperclip to run halacha+metadata extraction for a
    freshly-uploaded precedent.

    Creates a Paperclip issue under the per-company "ספריית פסיקה" project,
    assigns it to the company CEO, links the case_law_id via plugin_state,
    and wakes the CEO via the Board API. The CEO instructions tell it to
    run `mcp__legal-ai__precedent_process_pending` and close the issue.

    Best-effort: any failure is logged and swallowed so a partial Paperclip
    outage doesn't block the upload itself. The user can always invoke
    `precedent_process_pending` manually.
    """
    if not PAPERCLIP_BOARD_API_KEY:
        logger.warning(
            "PAPERCLIP_BOARD_API_KEY not set — skipping precedent-extraction wakeup"
        )
        return {"ok": False, "skipped": "no_api_key"}

    company_id = await _get_company_id(practice_area)
    ceo_id = CEO_AGENTS.get(company_id, CEO_AGENT_ID)

    try:
        conn = await asyncpg.connect(PAPERCLIP_DB_URL)
        try:
            project_id = await _get_or_create_library_project(conn, company_id)

            # Bump issue counter & build identifier (matches _create_issue style).
            row = await conn.fetchrow(
                "UPDATE companies SET issue_counter = issue_counter + 1 "
                "WHERE id = $1::uuid RETURNING issue_counter",
                company_id,
            )
            issue_number = row["issue_counter"]
            prefix = "CMP" if company_id == COMPANIES["licensing"] else "CMPA"
            identifier = f"{prefix}-{issue_number}"

            issue_id = str(uuid.uuid4())
            short_citation = (citation[:120] + "…") if len(citation) > 120 else citation
            description = (
                f"פסק דין חדש הועלה לספריית הפסיקה.\n\n"
                f"**case_law_id:** `{case_law_id}`\n"
                f"**citation:** {citation}\n\n"
                f"---\n\n"
                f"**משימה:** הרץ את הכלי `mcp__legal-ai__precedent_process_pending` "
                f"פעמיים — פעם עם `kind='metadata'` ופעם עם `kind='halacha'`. "
                f"הכלי יעבד את כל הפסיקות בתור (כולל זו), כך שגם אם הופעל מאוחר "
                f"יותר עבור פסיקות אחרות — אין בעיה.\n\n"
                f"לאחר ריצה: סמן את ה-issue כ-done ופתח comment קצר עם מספר ההלכות "
                f"שחולצו ושדות המטא-דאטה שהושלמו."
            )
            await conn.execute(
                """INSERT INTO issues
                       (id, company_id, project_id, title, description,
                        status, priority, issue_number, identifier, assignee_agent_id)
                   VALUES ($1, $2::uuid, $3::uuid, $4, $5, 'todo', 'medium',
                           $6, $7, $8::uuid)""",
                issue_id, company_id, project_id,
                f"[ספרייה] חלץ הלכות: {short_citation}"[:200],
                description,
                issue_number, identifier, ceo_id,
            )

            # Link case_law_id via plugin_state so the agent can find it.
            await conn.execute(
                """INSERT INTO plugin_state
                       (plugin_id, scope_kind, scope_id, namespace, state_key, value_json)
                   VALUES ($1::uuid, 'issue', $2, 'default', 'precedent-case-law-id', $3::jsonb)
                   ON CONFLICT (plugin_id, scope_kind, scope_id, namespace, state_key)
                   DO UPDATE SET value_json = $3::jsonb""",
                PLUGIN_ID, issue_id, json.dumps(case_law_id),
            )
        finally:
            await conn.close()
    except Exception as e:
        logger.exception("wake_for_precedent_extraction: DB step failed: %s", e)
        return {"ok": False, "error": f"db: {e}"}

    # Wake the CEO. Per Paperclip rules: must use API + carry issueId in payload.
    payload = {
        "source": "automation",
        "triggerDetail": "precedent_library_upload",
        "reason": f"precedent_extraction_{identifier}",
        "payload": {
            "issueId": issue_id,
            "mutation": "precedent_extraction",
            "caseLawId": case_law_id,
        },
    }
    try:
        resp = await pc_request(
            "POST",
            f"/api/agents/{ceo_id}/wakeup",
            json=payload,
            raise_on_error=True,
        )
        result = resp.json()
        logger.info(
            "Precedent-extraction wakeup queued: issue=%s case_law_id=%s",
            identifier, case_law_id,
        )
        return {"ok": True, "issue_id": issue_id, "identifier": identifier, "wakeup": result}
    except Exception as e:
        logger.exception("wake_for_precedent_extraction: wakeup API failed: %s", e)
        return {"ok": False, "error": f"wakeup: {e}", "issue_id": issue_id, "identifier": identifier}


async def wake_ceo_agent(issue_id: str, case_number: str, company_id: str = "") -> dict:
    """Wake the CEO agent via Paperclip's wakeup API.

    MUST use API, never direct DB insert (agent won't wake from DB insert).
    Routes to the correct CEO based on company_id.
    """
    if not PAPERCLIP_BOARD_API_KEY:
        raise RuntimeError("PAPERCLIP_BOARD_API_KEY not set — cannot wake CEO agent")

    ceo_id = CEO_AGENTS.get(company_id, CEO_AGENT_ID)
    payload = {
        "source": "on_demand",
        "triggerDetail": "manual",
        "reason": f"start_workflow_{case_number}",
        "payload": {
            "issueId": issue_id,
            "mutation": "workflow_start",
        },
    }

    resp = await pc_request(
        "POST",
        f"/api/agents/{ceo_id}/wakeup",
        json=payload,
        raise_on_error=True,
    )
    result = resp.json()
    logger.info("CEO agent wakeup for case %s: %s", case_number, result)
    return result


async def wake_curator_for_final(
    case_number: str,
    final_filename: str,
    company_id: str = "",
) -> dict:
    """Wake the Knowledge Curator (Hermes) when a case is marked final.

    Creates a child issue under the main case issue, assigns it to the
    curator, and triggers wakeup. Best-effort — silently skips if no
    curator is configured for the company or no main issue is found.

    Returns ``{"status": "ok"|"skipped", ...}``.
    """
    if not PAPERCLIP_BOARD_API_KEY:
        logger.warning("PAPERCLIP_BOARD_API_KEY not set — skipping curator wakeup")
        return {"status": "skipped", "reason": "no_api_key"}

    curator_id = CURATOR_AGENTS.get(company_id)
    if not curator_id:
        logger.info("No curator configured for company %s — skipping", company_id)
        return {"status": "skipped", "reason": "no_curator", "company_id": company_id}

    issues = await get_case_issues(case_number)
    if not issues:
        logger.warning("No Paperclip issues found for case %s — skipping curator", case_number)
        return {"status": "skipped", "reason": "no_issue"}

    main_issue = next((i for i in issues if i.get("status") == "in_progress"), None) or issues[0]
    main_issue_id = main_issue["id"]

    description = (
        f"דפנה סימנה את ההחלטה הסופית של תיק {case_number} כסופית.\n"
        f"קובץ סופי: `{final_filename}`\n\n"
        f"סקור את ההחלטה מול skills/decision/SKILL.md ו-docs/legal-decision-lessons.md.\n"
        f"חפש 3-5 דפוסי סגנון/דיון שלא תועדו. כתוב comment בעברית, ניטרלי, "
        f"ממוספר. עדכן את MEMORY.md שלך. סגור את ה-issue (status=done)."
    )
    child_resp = await pc_request(
        "POST",
        f"/api/issues/{main_issue_id}/children",
        json={
            "title": f"[ערר {case_number}] סקירת ידע — Knowledge Curator",
            "description": description,
            "status": "in_progress",
            "priority": "low",
            "assigneeAgentId": curator_id,
        },
        raise_on_error=True,
    )
    sub_issue = child_resp.json()
    sub_issue_id = sub_issue["id"]

    # Tag plugin_state for case-number visibility on the case page
    try:
        conn = await asyncpg.connect(PAPERCLIP_DB_URL)
        try:
            await _link_case_to_issue(conn, sub_issue_id, case_number)
        finally:
            await conn.close()
    except Exception as e:
        logger.warning("plugin_state link failed for sub_issue=%s: %s", sub_issue_id, e)

    # Trigger wakeup (use API per Paperclip rule — never DB insert)
    wake_resp = await pc_request(
        "POST",
        f"/api/agents/{curator_id}/wakeup",
        json={
            "source": "on_demand",
            "triggerDetail": "manual",
            "reason": f"final_marked_{case_number}",
            "payload": {
                "issueId": sub_issue_id,
                "mutation": "assignment",
            },
        },
        raise_on_error=True,
    )
    logger.info(
        "Curator wakeup for case %s: sub_issue=%s curator=%s wake=%s",
        case_number, sub_issue_id, curator_id, wake_resp.status_code,
    )
    return {
        "status": "ok",
        "sub_issue_id": sub_issue_id,
        "curator_id": curator_id,
        "main_issue_id": main_issue_id,
    }