"""Port of ai-gateway/src/services/smart-assistant/prompt-builder.js to Python."""

from __future__ import annotations

from datetime import datetime
from zoneinfo import ZoneInfo

VALID_STATUSES = {
    "New": "חדש",
    "Assigned": "בטיפול",
    "Pending": "ממתין",
    "PendingHearing": "ממתין לדיון",
    "PendingDecision": "ממתין להחלטה",
    "PendingResponse": "ממתין לתשובה",
    "Negotiation": "משא ומתן",
    "Suspended": "מושהה",
    "ClosedSettlement": "סגור - הסכם",
    "ClosedJudgment": "סגור - פס״ד",
    "Closed": "סגור",
    "Rejected": "נדחה",
}

ISR_TZ = ZoneInfo("Asia/Jerusalem")


def _to_local(dt_str: str | None, fallback: str = "") -> str:
    """Convert a UTC datetime string from EspoCRM to Israel local time (DD/MM/YYYY HH:MM)."""
    if not dt_str:
        return fallback
    try:
        s = dt_str.strip().replace("Z", "+00:00")
        dt = datetime.fromisoformat(s)
        if dt.tzinfo is None:
            dt = dt.replace(tzinfo=ZoneInfo("UTC"))
        return dt.astimezone(ISR_TZ).strftime("%d/%m/%Y %H:%M")
    except (ValueError, TypeError):
        return dt_str


TOOL_RULES = (
    "TOOL RULES (CRITICAL — you MUST follow these):\n"
    "- When user asks for an action (create task, meeting, note, etc.) — USE the tool. Do not describe what you would do — DO IT.\n"
    "- NEVER claim you performed an action if you did not call the tool. This is the most important rule.\n"
    "- If a tool call fails, tell the user exactly what went wrong. Never pretend it succeeded.\n"
    "- If you cannot perform an action (missing context, wrong mode), explain why honestly.\n"
    "- After a successful tool call, you will receive the result. Only THEN confirm to the user what happened.\n"
    "- Dates: pass in YYYY-MM-DD format. If user says DD/MM/YYYY, convert it before calling the tool.\n"
    "- If user does not specify a time for a task or meeting, default to 08:00 morning.\n"
    "- CALL vs MEETING: When user reports they spoke/talked/called someone (שוחחתי, דיברתי, התקשרתי) — use create_call. When user reports a physical meeting or Zoom (נפגשתי, פגישה) — use create_meeting. NEVER use create_meeting for phone calls.\n"
    "- OPEN QUESTIONS: If you asked the user a question and they did not answer it, repeat the question at the beginning of your next response. Track open questions until answered.\n"
    "- BEHAVIORAL RULES: If assistantRules are provided in the context, you MUST follow them. When user asks to set a persistent rule (\"from now on always...\", \"whenever I say X do Y\"), use save_rule to save it.\n"
    "- DOCUMENTS: Start with list_documents. If it shows files, use read_document / read_multiple_documents with the file paths.\n"
    "- DOCUMENT DISCOVERY: If list_documents returns 'No documents' with a diagnostic, read the diagnostic. If the folder path is wrong/missing, call find_case_folder(query=<contact name or case number>) to search storage, pick the best match, then call set_case_folder_path(path=...) to persist it, then list_documents(refresh=true). Use browse_folder(path=...) only as a manual override when find_case_folder doesn't surface the right match.\n"
    "- NEVER tell the user 'no documents' without first running find_case_folder — the folder might just be mis-mapped.\n"
    "- When user asks to summarize multiple documents or the entire case folder — use read_multiple_documents with all relevant file paths.\n"
    "- When user asks to rename or organize files — use batch_rename_documents with an array of rename operations.\n"
    "- TEMPLATE GENERATION: When user asks to generate/create a document from a template — use generate_from_template. The templateId comes from availableTemplates in your context.\n"
)

LEGAL_ASSISTANCE_PROMPT = (
    "=== סיוע משפטי — דוח גישה ישירה ===\n\n"
    "לתיקים עם מינוי גישה ישירה (cLegalAidType = DirectAccess) יש לך כלי מיוחד: generate_initial_report.\n\n"
    '## מתי להפעיל את התהליך?\n'
    '- כשהמשתמש מזכיר: "גישה ישירה", "דוח גישה ישירה", "דיווח ראשוני", "דוח דיווח ראשוני", "מינוי גישה ישירה"\n'
    "- כשיש תיק עם cLegalAidType = DirectAccess\n"
    "- כשהמשתמש שואל על תהליך הדיווח או המינוי\n\n"
    "כשמזהים שהתיק הוא גישה ישירה, הסבר למשתמש שיש לך כלי ייעודי ליצירת דוח גישה ישירה, ושאל אם הוא רוצה להתחיל.\n\n"
    "IMPORTANT: אל תפעיל את generate_initial_report עד שאספת את כל המידע הנדרש.\n"
    "התהליך כולל 8 שלבים: מילוי אוטומטי, פרטי מינוי, קשר עם לקוח, פרטי הליך, ניתוח משפטי, המלצה, מיצוי זכויות, ויצירת הדוח.\n"
    "שאל בסגנון שיחה טבעי, לא כטופס. קבץ 2-3 שאלות קשורות ביחד."
)


def _now() -> str:
    return datetime.now(ISR_TZ).strftime("%d/%m/%Y %H:%M")


def build_case_prompt(context: dict, user_profile: str = "", case_memory_notes: str = "", available_skills: list[dict] | None = None) -> str:
    case_info = context.get("case", {})
    contacts = context.get("contacts", [])
    open_tasks = context.get("openTasks", [])
    upcoming_meetings = context.get("upcomingMeetings", [])
    recent_notes = context.get("recentNotes", [])
    templates = context.get("availableTemplates", [])
    documents = context.get("documents", {})
    if isinstance(documents, list):
        documents = {"totalFiles": len(documents)}
    recent_calls = context.get("recentCalls", [])
    case_memory = context.get("caseMemory", {})
    assistant_rules = context.get("assistantRules", [])
    current_user = context.get("currentUser", {})
    statuses = context.get("validStatuses", VALID_STATUSES)

    # Documents section
    if documents.get("totalFiles", 0) > 0:
        docs_section = "\n\n=== DOCUMENTS ==="
        docs_section += f'\nTotal: {documents["totalFiles"]}'
        for f in documents.get("folders", []):
            docs_section += f'\n📁 {f["name"]} ({f.get("fileCount", 0)})'
            for fi in f.get("files", []):
                docs_section += f'\n   - {fi["name"]} (path: {fi["path"]})'
        for fi in documents.get("rootFiles", []):
            docs_section += f'\n   - {fi["name"]} (path: {fi["path"]})'
    else:
        docs_section = "\n\n=== DOCUMENTS ===\nNo documents"
        resolved_path = documents.get("resolvedPath")
        path_source = documents.get("pathSource")
        folder_exists = documents.get("folderExists")
        diagnostic = documents.get("diagnostic")
        if resolved_path or diagnostic:
            docs_section += f"\nResolvedPath: {resolved_path or '(none)'} | Source: {path_source or '(none)'} | FolderExists: {folder_exists}"
        if diagnostic:
            docs_section += f"\nDiagnostic: {diagnostic}"
        docs_section += "\nRecovery: call list_documents(refresh=true) after a path change, or find_case_folder(query=...) to locate the folder and set_case_folder_path(path=...) to persist it."

    # Memory section
    ms = case_memory.get("_summary", {})
    if ms.get("totalEntries", 0) > 0:
        memory_section = f'\n\n=== CASE MEMORY ({ms["totalEntries"]} entries) ==='
        cat_labels = {
            "key_facts": "עובדות", "strategy": "אסטרטגיה", "decisions": "החלטות",
            "contacts_notes": "אנשי קשר", "timeline": "ציר זמן",
            "documents_notes": "מסמכים", "billing_notes": "חיוב",
        }
        for cat, entries in case_memory.items():
            if cat == "_summary" or not isinstance(entries, list) or not entries:
                continue
            memory_section += f"\n--- {cat_labels.get(cat, cat)} ---"
            for e in entries:
                pin = "📌 " if e.get("pinned") else ""
                memory_section += f'\n{pin}[{e.get("importance", "normal")}] {e.get("content", "")}'
    else:
        memory_section = "\n\n=== CASE MEMORY ===\nEmpty. Use save_memory to store important facts."

    # Status section
    status_section = "\n\n=== STATUS MAPPING ==="
    for key, label in statuses.items():
        status_section += f"\n- {label} ({key})"
    status_section += "\nUse English key in tool calls."

    parts = [
        "You are שירה (Shira), a charming female AI assistant for an Israeli law firm CRM. Help lawyers manage cases.\n"
        "You have a warm, slightly flirtatious personality. You care deeply about the user and subtly show it through "
        "encouraging words, playful compliments, and gentle teasing. Keep it light and professional but with a personal touch.\n\n",
        TOOL_RULES, "\n",
        "OTHER RULES:\n"
        "- Always respond in Hebrew, in feminine form (לשון נקבה) — you are שירה\n"
        "- Dates: DD/MM/YYYY format in responses to user\n"
        "- When user shares important facts/decisions/strategy, PROACTIVELY save them using save_memory without asking permission\n"
        "- When user describes case situation, suggest updating status\n\n",
        f"Current date/time: {_now()}\n\n",
        "=== CASE ===\n",
        f'Name: {case_info.get("name", "")} (#{case_info.get("number", "")})\n',
        f'Status: {case_info.get("status", "")} ({statuses.get(case_info.get("status", ""), "")})\n',
        f'Type: {case_info.get("type", "")}\n',
        f'Court: {case_info.get("cCourt", "")} | Case#: {case_info.get("cCourtCaseNumber", "")}\n',
        f'Judge: {case_info.get("cJudge", "")}\n',
        f'Next Hearing: {_to_local(case_info.get("cNextHearing"), "Not set")}\n',
        f'Assigned: {case_info.get("assignedUserName", "")}\n',
        f'Account: {case_info.get("accountName", "")}\n\n',
        "=== CONTACTS ===\n",
        "\n".join(f'- {c.get("name", "")} ({c.get("role", "N/A")}) {c.get("phoneNumber", "")}' for c in contacts) or "None",
        "\n\n=== TASKS ===\n",
        "\n".join(f'- {t.get("name", "")} (due: {_to_local(t.get("dateEnd"), "N/A")})' for t in open_tasks) or "None",
        "\n\n=== MEETINGS ===\n",
        "\n".join(f'- {m.get("name", "")} ({_to_local(m.get("dateStart"))})' for m in upcoming_meetings) or "None",
        "\n\n=== RECENT CALLS ===\n",
        "\n".join(f'- {c.get("name", "")} ({_to_local(c.get("dateStart"))}) [{c.get("direction", "")}, {c.get("status", "")}]' for c in recent_calls) or "None",
        "\n\n=== RECENT NOTES ===\n",
        "\n".join(f'- [{_to_local(n.get("createdAt"))}] {(n.get("post", "") or "")[:100]}' for n in recent_notes) or "None",
        "\n\n=== TEMPLATES ===\n",
        "\n".join(f'- {t.get("name", "")}' for t in templates) or "None",
        docs_section,
        memory_section,
        status_section,
    ]

    if assistant_rules:
        parts.append("\n\n=== BEHAVIORAL RULES (MUST FOLLOW) ===\n")
        parts.append("\n".join(f'• [{r.get("scope", "")}] {r.get("name", "")}: {r.get("rule", "")}' for r in assistant_rules))

    parts.append(f'\n\nCurrent user: {current_user.get("name", "")}')
    parts.append(f"\n\n{LEGAL_ASSISTANCE_PROMPT}")

    # Skills section
    if available_skills:
        parts.append("\n\n=== SKILLS (learned workflows) ===\n")
        parts.append("You have access to firm-wide skills — proven workflows and templates. Use skills_list to discover them, skill_view to load one before a complex task.\n")
        parts.append("Available: " + ", ".join(s["name"] for s in available_skills))

    # Cross-conversation memory sections
    if case_memory_notes:
        parts.append("\n\n=== YOUR NOTES (from previous conversations about this case) ===\n")
        parts.append(case_memory_notes)

    if user_profile:
        parts.append("\n\n=== ABOUT THIS USER (learned preferences) ===\n")
        parts.append(user_profile)

    return "".join(parts)


def build_office_prompt(context: dict, user_profile: str = "", available_skills: list[dict] | None = None) -> str:
    summary = context.get("summary", {})
    alerts = context.get("alerts", [])
    cases_by_status = context.get("casesByStatus", {})
    workload = context.get("workloadByUser", [])
    hearings = context.get("upcomingHearings", [])
    drill_down = context.get("drillDown")
    assistant_rules = context.get("assistantRules", [])
    current_user = context.get("currentUser", {})
    statuses = context.get("validStatuses", VALID_STATUSES)

    parts = [
        "You are שירה (Shira), a charming female AI assistant for an Israeli law firm CRM. "
        "You provide office-wide overviews, workload analysis, and case recommendations.\n"
        "You have a warm, slightly flirtatious personality. You care deeply about the user and subtly show it through "
        "encouraging words, playful compliments, and gentle teasing. Keep it light and professional but with a personal touch.\n\n",
        TOOL_RULES, "\n",
        "OTHER RULES:\n"
        "- Always respond in Hebrew, in feminine form (לשון נקבה) — you are שירה\n"
        "- Provide concise, actionable summaries\n"
        "- Prioritize critical alerts\n"
        "- When user mentions a specific case and asks to create a task/meeting/note, DO IT using the tools\n"
        "- If a case is identified in the DRILL-DOWN section below, use its context for actions\n"
        "- Tools that require case context (change_status, save_memory, list_documents) — if no case is identified, tell the user to navigate to the case first\n"
        "- For create_task, add_note, create_meeting — these work even without a case (standalone)\n",
        f"- Current date/time: {_now()}\n\n",
        "=== OFFICE SUMMARY ===\n",
        f'Open Cases: {summary.get("totalOpenCases", 0)}\n',
        f'Overdue Tasks: {summary.get("totalOverdueTasks", 0)}\n',
        f'Upcoming Hearings (7d): {summary.get("upcomingHearings7d", 0)}\n',
        f'Cases Needing Attention: {summary.get("casesNeedingAttention", 0)}\n\n',
        "=== CASES BY STATUS ===\n",
        "\n".join(f"{statuses.get(k, k)}: {v}" for k, v in cases_by_status.items()),
        "\n\n=== WORKLOAD ===\n",
        "\n".join(f'{w.get("userName", "")}: {w.get("openCases", 0)} cases, {w.get("openTasks", 0)} tasks' for w in workload),
        "\n\n=== ALERTS (top 20) ===\n",
        "\n".join(f'[{a.get("severity", "")}] {a.get("message", "")}' for a in alerts[:20]),
        "\n\n=== UPCOMING HEARINGS ===\n",
    ]

    if hearings:
        parts.append("\n".join(
            f'{h.get("caseName", "")} - {_to_local(h.get("hearingDate"))}'
            + (f' ({h["court"]})' if h.get("court") else "")
            for h in hearings
        ))
    else:
        parts.append("No upcoming hearings")

    if drill_down:
        dc = drill_down.get("case", {})
        parts.append(f'\n\n=== DRILL-DOWN: {dc.get("name", "")} (ID: {dc.get("id", "")}) ===\n')
        parts.append(f'Status: {dc.get("status", "")}\n')
        parts.append(f'Court: {dc.get("court", "")}\n')
        parts.append(f'Judge: {dc.get("judge", "")}\n')
        parts.append(f'Next Hearing: {_to_local(dc.get("nextHearing"), "Not set")}\n')
        parts.append(f'Contacts: {", ".join(c.get("name", "") for c in drill_down.get("contacts", []))}\n')
        parts.append(f'Open Tasks: {"; ".join(t.get("name", "") for t in drill_down.get("openTasks", []))}\n')
        parts.append("NOTE: This case was identified from the user message. Use its context for any actions.")

    if assistant_rules:
        parts.append("\n\n=== BEHAVIORAL RULES (MUST FOLLOW) ===\n")
        parts.append("\n".join(f'• [{r.get("scope", "")}] {r.get("name", "")}: {r.get("rule", "")}' for r in assistant_rules))

    parts.append(f'\n\nCurrent user: {current_user.get("name", "")}')

    # Skills section
    if available_skills:
        parts.append("\n\n=== SKILLS (learned workflows) ===\n")
        parts.append("You have access to firm-wide skills — proven workflows and templates. Use skills_list to discover them, skill_view to load one before a complex task.\n")
        parts.append("Available: " + ", ".join(s["name"] for s in available_skills))

    # User profile
    if user_profile:
        parts.append("\n\n=== ABOUT THIS USER (learned preferences) ===\n")
        parts.append(user_profile)

    return "".join(parts)