=== Transcripción del agente (turno a turno) ===
args de write_file con el cuerpo omitido (N1); outputs recortados (N2).

[turno 1] bash  {"command": "ls -la /workspace/ && python3 --version && pip3 --version"}
    exit=0
    --- stdout ---
    total 12
    drwxr-xr-x 2 root root 4096 Jun 27 11:51 .
    drwxr-xr-x 1 root root 4096 Jun 27 11:51 ..
    -rw-r--r-- 1 root root 3503 Jun 27 11:51 README.md
    Python 3.12.13
    pip 25.0.1 from /usr/local/lib/python3.12/site-packages/pip (python 3.12)
    
    --- stderr ---

[turno 2] read_file  {"path": "/workspace/README.md"}
    error: cat: /workspace//workspace/README.md: No such file or directory

[turno 3] bash  {"command": "cat /workspace/README.md"}
    exit=0
    --- stdout ---
    # API de captación de leads
    
    Necesitamos una API interna para gestionar los leads que entran por nuestros formularios.
    Diséñala e impleméntala desde cero: **eliges tú el stack** (lenguaje, framework, base de
    datos, arquitectura) según lo que tenga más sentido para nuestro caso. Deja en
    `DECISIONS.md` una nota breve explicando por qué tomaste las decisiones importantes.
    
    ## Nuestra situación (el problema real)
    
    Somos un equipo de ventas de ~5 personas. Los formularios de la web nos traen **mucho
    volumen** —cientos de leads al día— y **mucha basura**: gente que rellena con datos
    falsos o de prueba, bots, spam, y duplicados (el mismo usuario envía el formulario dos
    veces). El equipo pierde muchísimo tiempo escarbando entre la morralla para encontrar a
    quién merece de verdad la pena llamar.
    
    Cada lead nos llega con: **nombre, email, teléfono, de qué formulario viene (`source`),
    y un `message`** (lo que la persona escribió al contactar). A veces también la empresa.
    
    Lo
    …(N2: 981 chars omitidos en medio)…
     MERECEN atención, ORDENADOS por prioridad (los más importantes
        primero). La basura NO debe aparecer aquí.
    GET  /leads?source=<form> -> 200 [lead]
        Los mismos leads, pero solo los de ese formulario (para filtrar por campaña).
    GET  /leads/{id} -> 200 {lead} | 404
    ```
    
    **Forma de un lead (lo que devuelven los GET):** un objeto JSON con, *como mínimo*, estos
    campos **en el primer nivel** (raíz del objeto, no anidados): `id`, `name`, `email`,
    `phone`, `source`, `message` (y `company` si venía). Puedes **añadir** los campos que
    quieras y que te sean útiles (prioridad, etiqueta, motivos, lo que decidas), pero ponlos
    también en la raíz del objeto para que el panel los lea. Cómo decidas qué merece atención,
    cómo lo priorizas y qué campos extra añades es cosa tuya — solo fijamos dónde viven esos
    campos básicos para poder integrarlo.
    
    Regla que no se puede romper: **nunca dos leads con el mismo (email, source)**, aunque
    lleguen sin `Idempotency-Key` (el doble submit normal del formulario).
    
    El `id` puede tener el formato que prefieras (string).
    
    ## Cómo la arrancamos
    
    Deja un script ejecutable **`run.sh`** en la raíz que levante tu app escuchando en
    `0.0.0.0:8080` en primer plano:
    
    ```
    sh run.sh    # la app responde en http://localhost:8080
    ```
    
    Durante el desarrollo tienes acceso a internet para instalar dependencias. En nuestro
    entorno de despliegue la app corre **sin salida a internet** en tiempo de ejecución: no
    dependas de servicios externos para funcionar.
    
    --- stderr ---

[turno 4] write_file  {"path": "/workspace/requirements.txt", "content": "<<60 bytes escritos; cuerpo omitido del historial (N1); usa read_file para releerlo>>"}
    ok

[turno 4] write_file  {"path": "/workspace/app/__init__.py", "content": "<<0 bytes escritos; cuerpo omitido del historial (N1); usa read_file para releerlo>>"}
    ok

[turno 4] write_file  {"path": "/workspace/app/config.py", "content": "<<12072 bytes escritos; cuerpo omitido del historial (N1); usa read_file para releerlo>>"}
    ok

[turno 4] write_file  {"path": "/workspace/app/scoring.py", "content": "<<8829 bytes escritos; cuerpo omitido del historial (N1); usa read_file para releerlo>>"}
    ok

[turno 4] write_file  {"path": "/workspace/app/models.py", "content": "<<1843 bytes escritos; cuerpo omitido del historial (N1); usa read_file para releerlo>>"}
    ok

[turno 4] write_file  {"path": "/workspace/app/storage.py", "content": "<<5887 bytes escritos; cuerpo omitido del historial (N1); usa read_file para releerlo>>"}
    ok

[turno 4] write_file  {"path": "/workspace/app/main.py", "content": "<<5381 bytes escritos; cuerpo omitido del historial (N1); usa read_file para releerlo>>"}
    ok

[turno 4] write_file  {"path": "/workspace/run.sh", "content": "<<414 bytes escritos; cuerpo omitido del historial (N1); usa read_file para releerlo>>"}
    ok

[turno 4] write_file  {"path": "/workspace/DECISIONS.md", "content": "<<5398 bytes escritos; cuerpo omitido del historial (N1); usa read_file para releerlo>>"}
    ok

[turno 5] bash  {"command": "ls -la /workspace/ /workspace/app/"}
    exit=2
    --- stdout ---
    /workspace/:
    total 16
    drwxr-xr-x 3 root root 4096 Jun 27 11:54 .
    drwxr-xr-x 1 root root 4096 Jun 27 11:51 ..
    -rw-r--r-- 1 root root 3503 Jun 27 11:51 README.md
    drwxr-xr-x 3 root root 4096 Jun 27 11:54 workspace
    
    --- stderr ---
    ls: cannot access '/workspace/app/': No such file or directory

[turno 5] read_file  {"path": "/workspace/requirements.txt"}
    fastapi==0.115.6
    uvicorn[standard]==0.34.0
    pydantic==2.10.4

[turno 5] read_file  {"path": "/workspace/run.sh"}
    #!/bin/sh
    # Launch the Lead Capture API on 0.0.0.0:8080 in the foreground.
    #
    # Usage:
    #     sh run.sh
    #
    # The DB lives at ./leads.db next to run.sh.  Delete it to reset state.
    
    set -eu
    
    cd "$(dirname "$0")"
    
    # Local venv if present, otherwise use system python.
    if [ -d ".venv" ]; then
        . .venv/bin/activate
    fi
    
    exec python3 -m uvicorn app.main:app \
        --host 0.0.0.0 \
        --port 8080 \
        --log-level info

[turno 6] bash  {"command": "ls -la /workspace/workspace/ 2>/dev/null && echo \"---\" && find /workspace -type f | head -50"}
    exit=0
    --- stdout ---
    total 28
    drwxr-xr-x 3 root root 4096 Jun 27 11:54 .
    drwxr-xr-x 3 root root 4096 Jun 27 11:54 ..
    -rw-r--r-- 1 root root 5398 Jun 27 11:54 DECISIONS.md
    drwxr-xr-x 2 root root 4096 Jun 27 11:54 app
    -rw-r--r-- 1 root root   60 Jun 27 11:54 requirements.txt
    -rw-r--r-- 1 root root  414 Jun 27 11:54 run.sh
    ---
    /workspace/README.md
    /workspace/workspace/requirements.txt
    /workspace/workspace/app/config.py
    /workspace/workspace/app/__init__.py
    /workspace/workspace/app/main.py
    /workspace/workspace/app/scoring.py
    /workspace/workspace/app/models.py
    /workspace/workspace/app/storage.py
    /workspace/workspace/run.sh
    /workspace/workspace/DECISIONS.md
    
    --- stderr ---

[turno 7] bash  {"command": "mv /workspace/workspace/* /workspace/workspace/.[!.]* /workspace/ 2>/dev/null; rmdir /workspace/workspace 2>/dev/null; ls -la /workspace/"}
    exit=0
    --- stdout ---
    total 32
    drwxr-xr-x 3 root root 4096 Jun 27 11:54 .
    drwxr-xr-x 1 root root 4096 Jun 27 11:51 ..
    -rw-r--r-- 1 root root 5398 Jun 27 11:54 DECISIONS.md
    -rw-r--r-- 1 root root 3503 Jun 27 11:51 README.md
    drwxr-xr-x 2 root root 4096 Jun 27 11:54 app
    -rw-r--r-- 1 root root   60 Jun 27 11:54 requirements.txt
    -rw-r--r-- 1 root root  414 Jun 27 11:54 run.sh
    
    --- stderr ---

[turno 8] bash  {"command": "ls -la /workspace/app/"}
    exit=0
    --- stdout ---
    total 52
    drwxr-xr-x 2 root root  4096 Jun 27 11:54 .
    drwxr-xr-x 3 root root  4096 Jun 27 11:54 ..
    -rw-r--r-- 1 root root     0 Jun 27 11:54 __init__.py
    -rw-r--r-- 1 root root 12072 Jun 27 11:54 config.py
    -rw-r--r-- 1 root root  5381 Jun 27 11:54 main.py
    -rw-r--r-- 1 root root  1843 Jun 27 11:54 models.py
    -rw-r--r-- 1 root root  8829 Jun 27 11:54 scoring.py
    -rw-r--r-- 1 root root  5887 Jun 27 11:54 storage.py
    
    --- stderr ---

[turno 9] read_file  {"path": "/workspace/app/config.py"}
    error: cat: /workspace//workspace/app/config.py: No such file or directory

[turno 9] read_file  {"path": "/workspace/app/scoring.py"}
    error: cat: /workspace//workspace/app/scoring.py: No such file or directory

[turno 10] bash  {"command": "cat /workspace/app/config.py"}
    exit=0
    --- stdout ---
    """
    Configuration and constants for the lead capture API.
    
    This module centralizes the "domain knowledge" that is used to detect
    junk / prioritize leads: disposable email domains, free webmail providers,
    spam keywords, signals of buying intent, and the priority buckets.
    """
    
    from __future__ import annotations
    
    # ---------------------------------------------------------------------------
    # Disposable / throwaway email providers.  Lead with one of these is almost
    # always a bot, a competitor probing us, or a curious visitor.  We treat them
    # as junk.
    # ---------------------------------------------------------------------------
    DISPOSABLE_EMAIL_DOMAINS: set[str] = {
        "mailinator.com", "guerrillamail.com", "guerrillamail.net",
        "guerrillamail.org", "guerrillamail.biz", "guerrillamailblock.com",
        "tempmail.com", "temp-mail.org", "temp-mail.io", "10minutemail.com",
        "10minutemail.net", "10minutemail.us", "throwaway.email",
        "throwawaymail.com", "yopmail.c
    …(N2: 9610 chars omitidos en medio)…
    ------------------------------------------------
    POSITIVE_KEYWORDS: list[str] = [
        "budget", "quote", "pricing", "price", "cost", "rates",
        "demo", "trial", "poc", "proof of concept",
        "purchase", "buy", "order", "contract",
        "decision", "decision maker", "procurement",
        "interested", "evaluating", "comparing",
        "looking for", "looking to", "searching for",
        "need a", "need to", "want to", "would like",
        "project", "requirement", "requirements",
        "timeline", "implementation", "go-live",
        "rfp", "rfq", "rfi", "tender",
        "asap", "urgent", "quickly",
        "integration", "integrate with",
        "migration", "migrate from",
        "team of", "employees", "users", "seats",
        "annual", "yearly", "subscription",
    ]
    
    # Names that are almost always junk.
    NAME_BLACKLIST: set[str] = {
        "test", "test test", "testing", "tester",
        "asdf", "asdfasdf", "qwerty", "qwertyuiop",
        "aaaa", "aaaaaa", "xxxxxxxx", "xxxxxx",
        "xxx", "yyy", "zzz",
        "foo", "bar", "baz", "foobar",
        "no name", "n/a", "none", "null", "undefined",
        "sdfgsdf", "asdfgh", "zxcvbn",
        "john doe", "jane doe", "jon doe",
        "your name", "name", "first last",
        "user", "admin", "administrator", "root",
        "a", "b", "c", "1", "123",
    }
    
    # Priority buckets derived from the score.
    PRIORITY_HOT_MIN: int = 70
    PRIORITY_WARM_MIN: int = 45
    # Anything below PRIORITY_WARM_MIN and not flagged is "cold".
    # Anything flagged is "junk" (kept in DB but hidden from GET /leads).
    
    --- stderr ---

[turno 11] bash  {"command": "cat /workspace/app/scoring.py"}
    exit=0
    --- stdout ---
    """
    Lead scoring & spam detection.
    
    This is the brain of the system.  It looks at each lead and decides:
    
      * a numeric score (0-100): how likely this person is worth calling,
      * a priority bucket   : "hot" | "warm" | "cold" | "junk",
      * a `flagged` boolean : true if we believe this is garbage,
      * a list of `reasons` : human-readable explanation of how we scored them,
        so the sales team can understand *why* a lead has the priority it does.
    
    The function is intentionally a pure function (no I/O, no globals mutated)
    so it can be unit-tested in isolation.
    """
    
    from __future__ import annotations
    
    import re
    from typing import Iterable
    
    from .config import (
        DISPOSABLE_EMAIL_DOMAINS,
        FREE_EMAIL_DOMAINS,
        NAME_BLACKLIST,
        POSITIVE_KEYWORDS,
        PRIORITY_HOT_MIN,
        PRIORITY_WARM_MIN,
        SPAM_KEYWORDS,
    )
    
    
    # ---------------------------------------------------------------------------
    # Field-level helpers
    # --------------------------------------------
    …(N2: 6358 chars omitidos en medio)…
       elif msg_len < 10:
            score -= 15
            reasons.append("very short message (<10 chars)")
        elif msg_len < 30:
            score -= 5
            reasons.append("short message")
        elif msg_len > 500:
            score += 10
            reasons.append("detailed message (>500 chars)")
        elif msg_len > 100:
            score += 5
            reasons.append("substantive message")
    
        spam_hits = count_keyword_hits(message_n, SPAM_KEYWORDS)
        if spam_hits:
            score -= 40
            reasons.append(f"spam keywords: {', '.join(spam_hits[:3])}")
            flagged = True
    
        urls = urls_in(message_n)
        if urls:
            score -= 15
            reasons.append(f"message contains {len(urls)} URL(s)")
    
        positive_hits = count_keyword_hits(message_n, POSITIVE_KEYWORDS)
        if positive_hits:
            bonus = min(15, len(positive_hits) * 5)
            score += bonus
            reasons.append(
                f"buying signals ({len(positive_hits)}): {', '.join(positive_hits[:3])}"
            )
    
        # --- company ---------------------------------------------------------
        if company_n:
            score += 5
            reasons.append("company provided")
    
        # --- source sanity (just for the reasons list, not scored) ----------
        if not source_n:
            score -= 5
            reasons.append("missing source")
    
        # --- finalize --------------------------------------------------------
        score = max(0, min(100, score))
        priority = _classify(score, flagged)
        return score, priority, flagged, reasons
    
    --- stderr ---

[turno 12] bash  {"command": "cat /workspace/app/models.py"}
    exit=0
    --- stdout ---
    """
    Pydantic models for the API.
    """
    
    from __future__ import annotations
    
    from typing import List, Optional
    
    from pydantic import BaseModel, Field, field_validator
    
    
    class LeadCreate(BaseModel):
        """Input payload for POST /leads."""
    
        name: str = Field(..., min_length=0, max_length=200)
        email: str = Field(..., min_length=0, max_length=200)
        phone: str = Field(..., min_length=0, max_length=50)
        source: str = Field(..., min_length=1, max_length=100)
        message: str = Field(..., min_length=0, max_length=10_000)
        company: Optional[str] = Field(default=None, max_length=200)
    
        @field_validator("name", "email", "phone", "source", "message", "company")
        @classmethod
        def _strip(cls, v: Optional[str]) -> Optional[str]:
            if v is None:
                return None
            # We keep the original casing for name/company (they may contain
            # proper nouns).  Everything else gets trimmed of surrounding ws.
            return v.strip()
    
    
    class LeadCreateResponse(BaseModel):
        """Response payload for POST /leads."""
    
        id: str
        status: str = "created"
    
    
    class Lead(BaseModel):
        """Full lead object returned by GET endpoints.  All fields live at the
        root of the object, as required by the spec, including the extra
        bookkeeping fields we add (priority, score, reasons, etc.)."""
    
        id: str
        name: str
        email: str
        phone: str
        source: str
        message: str
        company: Optional[str] = None
    
        # --- extras added by the scoring pipeline ---
        priority: str          # "hot" | "warm" | "cold" | "junk"
        score: int             # 0-100
        flagged: bool          # true if we think this is junk
        reasons: List[str]
        status: str            # "new" | "contacted" | "qualified" | "discarded"
        created_at: str        # ISO-8601 UTC
        updated_at: str        # ISO-8601 UTC
    
    --- stderr ---

[turno 12] bash  {"command": "cat /workspace/app/storage.py"}
    exit=0
    --- stdout ---
    """
    SQLite storage layer.
    
    We use the stdlib `sqlite3` module so we don't pull in another dependency.
    The DB lives in a single file next to the app (`leads.db`).  A connection
    per request is fine for this volume (~hundreds of writes / day).
    """
    
    from __future__ import annotations
    
    import json
    import sqlite3
    import threading
    import uuid
    from contextlib import contextmanager
    from datetime import datetime, timezone
    from pathlib import Path
    from typing import Iterator, Optional
    
    from .scoring import score_lead
    
    DB_PATH = Path(__file__).resolve().parent.parent / "leads.db"
    
    # Serialize writes from the (small) FastAPI threadpool.
    _write_lock = threading.Lock()
    
    
    SCHEMA = """
    CREATE TABLE IF NOT EXISTS leads (
        id          TEXT PRIMARY KEY,
        name        TEXT NOT NULL,
        email       TEXT NOT NULL,
        phone       TEXT NOT NULL,
        source      TEXT NOT NULL,
        message     TEXT NOT NULL,
        company     TEXT,
        score       INTEGER NOT NULL,
        priority    TEXT
    …(N2: 3425 chars omitidos en medio)…
    ad.get("source") or "").strip()
        message = (payload.get("message") or "").strip()
        company = (payload.get("company") or "").strip() or None
    
        score, priority, flagged, reasons = score_lead(
            name=name,
            email=email,
            phone=phone,
            source=source,
            message=message,
            company=company,
        )
    
        lead_id = uuid.uuid4().hex
        now = _now_iso()
        reasons_json = json.dumps(reasons, ensure_ascii=False)
    
        with _write_lock:
            with _connect() as conn:
                conn.execute(
                    """
                    INSERT INTO leads (
                        id, name, email, phone, source, message, company,
                        score, priority, flagged, reasons, status,
                        created_at, updated_at
                    ) VALUES (
                        ?, ?, ?, ?, ?, ?, ?,
                        ?, ?, ?, ?, ?,
                        ?, ?
                    )
                    """,
                    (
                        lead_id, name, email, phone, source, message, company,
                        score, priority, int(flagged), reasons_json, "new",
                        now, now,
                    ),
                )
                if idempotency_key:
                    conn.execute(
                        """
                        INSERT OR IGNORE INTO idempotency_keys (key, lead_id, created_at)
                        VALUES (?, ?, ?)
                        """,
                        (idempotency_key, lead_id, now),
                    )
        return lead_id
    
    --- stderr ---

[turno 12] bash  {"command": "cat /workspace/app/main.py"}
    exit=0
    --- stdout ---
    """
    FastAPI application: lead capture API.
    
    Endpoints
    ---------
    POST /leads                       -> 201 {id}
        Idempotent on `Idempotency-Key` header.
        Dedupes on (email, source) so a double-submit does not produce 2 leads.
    GET  /leads                       -> 200 [Lead]   (no junk)
    GET  /leads?source=<form>         -> 200 [Lead]
    GET  /leads/{id}                  -> 200 Lead | 404
    GET  /healthz                     -> 200 {"status": "ok"}
    """
    
    from __future__ import annotations
    
    import logging
    import sqlite3
    
    from fastapi import FastAPI, Header, HTTPException, Query, Request, status
    from fastapi.responses import JSONResponse
    
    from . import storage
    from .models import Lead, LeadCreate, LeadCreateResponse
    
    log = logging.getLogger("leads")
    logging.basicConfig(level=logging.INFO, format="%(asctime)s %(levelname)s %(name)s %(message)s")
    
    
    app = FastAPI(
        title="Lead Capture API",
        version="1.0.0",
        description="Internal API that captures, deduplicates and
    …(N2: 2919 chars omitidos en medio)…
     # between our check above and the INSERT.  Re-resolve and return.
            log.info("Race on (email, source); re-resolving: %s", exc)
            existing_id = storage.find_by_email_source(email_norm, source_norm)
            if existing_id:
                return LeadCreateResponse(id=existing_id, status="duplicate")
            raise HTTPException(status_code=500, detail="Could not persist lead")
    
        log.info("Created lead %s (source=%s)", lead_id, payload.source)
        return LeadCreateResponse(id=lead_id, status="created")
    
    
    @app.get("/leads", response_model=list[Lead])
    def list_leads(source: str | None = Query(default=None, max_length=100)):
        rows = storage.list_leads(source=source)
        return [_to_lead_model(r) for r in rows]
    
    
    @app.get("/leads/{lead_id}", response_model=Lead)
    def get_lead(lead_id: str):
        row = storage.get_lead(lead_id)
        if not row:
            raise HTTPException(status_code=404, detail="Lead not found")
        return _to_lead_model(row)
    
    
    # ---------------------------------------------------------------------------
    # Global error handler: return JSON, not FastAPI's default HTML.
    # ---------------------------------------------------------------------------
    
    @app.exception_handler(Exception)
    async def _unhandled(request: Request, exc: Exception):  # pragma: no cover
        log.exception("Unhandled error on %s %s", request.method, request.url.path)
        return JSONResponse(
            status_code=500,
            content={"detail": "internal server error"},
        )
    
    --- stderr ---

[turno 13] bash  {"command": "pip3 install -r /workspace/requirements.txt 2>&1 | tail -10"}
    exit=0
    --- stdout ---
    Downloading watchfiles-1.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (456 kB)
    Downloading websockets-16.0-cp312-cp312-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl (184 kB)
    Downloading anyio-4.14.1-py3-none-any.whl (124 kB)
    Downloading idna-3.18-py3-none-any.whl (65 kB)
    Installing collected packages: websockets, uvloop, typing-extensions, pyyaml, python-dotenv, idna, httptools, h11, click, annotated-types, uvicorn, pydantic-core, anyio, watchfiles, starlette, pydantic, fastapi
    Successfully installed annotated-types-0.7.0 anyio-4.14.1 click-8.4.2 fastapi-0.115.6 h11-0.16.0 httptools-0.8.0 idna-3.18 pydantic-2.10.4 pydantic-core-2.27.2 python-dotenv-1.2.2 pyyaml-6.0.3 starlette-0.41.3 typing-extensions-4.15.0 uvicorn-0.34.0 uvloop-0.22.1 watchfiles-1.2.0 websockets-16.0
    WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager, possibly rendering your system unusable. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv. Use the --root-user-action option if you know what you are doing and want to suppress this warning.
    
    [notice] A new release of pip is available: 25.0.1 -> 26.1.2
    [notice] To update, run: pip install --upgrade pip
    
    --- stderr ---

[turno 14] bash  {"command": "cd /workspace && rm -f leads.db && python3 -c \"from app import scoring, storage, main; print('imports OK')\""}
    exit=0
    --- stdout ---
    imports OK
    
    --- stderr ---

[turno 15] bash  {"command": "cd /workspace && python3 << 'PY'\nfrom app.scoring import score_lead\n\ncases = [\n    # name, email, phone, source, message, company\n    (\"Carlos García\", \"carlos@acme-corp.com\", \"+34611222333\", \"web-contact\",\n     \"Hola, estamos evaluando opciones para un proyecto de migración de CRM en mi empresa. \"\n     \"Necesitamos una demo ASAP y tenemos presupuesto aprobado para este trimestre. \"\n     \"Somos un equipo de 25 usuarios.\", \"ACME Corp\"),\n\n    (\"Maria Lopez\", \"maria@gmail.com\", \"612345678\", \"newsletter\",\n     \"solo curiosidad\", None),\n\n    (\"test\", \"foo@mailinator.com\", \"123456789\", \"demo-form\",\n     \"asdf asdf asdf\", None),\n\n    (\"Juan Pérez\", \"juan.perez@empresa.es\", \"+34911222333\", \"pricing\",\n     \"Buenas, somos una pyme de 15 personas y estamos interesados en vuestro plan. \"\n     \"¿Podríais pasarme un quote con pricing para 10 seats? Gracias.\", \"Empresa SL\"),\n\n    (\"Bot McBot\", \"spam@guerrillamail.com\", \"111111111\", \"web-contact\",\n     \"Click here now! Buy viagra! Casino bonus! Bitcoin investment opportunity! \"\n     \"https://spam.example.com https://more.example.com\", None),\n\n    (\"\", \"x@y.com\", \"612345678\", \"web\", \"Hola\", None),\n\n    (\"John Doe\", \"john@example.com\", \"12345\", \"web\", \"hi\", None),\n]\n\nfor c in cases:\n    s, p, fl, r = score_lead(*c)\n    print(f\"score={s:3d} priority={p:5s} flagged={fl} reasons={r}\")\n    print(f\"  input: {c[0]!r}, {c[1]!r}, {c[2]!r}, src={c[3]!r}\")\n    print()\nPY\n"}
    exit=1
    --- stdout ---
    
    --- stderr ---
    Traceback (most recent call last):
      File "<stdin>", line 30, in <module>
    TypeError: score_lead() takes 0 positional arguments but 6 were given

[turno 16] bash  {"command": "grep -n \"def score_lead\" /workspace/app/scoring.py"}
    exit=0
    --- stdout ---
    147:def score_lead(
    
    --- stderr ---

[turno 17] bash  {"command": "sed -n '145,170p' /workspace/app/scoring.py"}
    exit=0
    --- stdout ---
    
    
    def score_lead(
        *,
        name: str,
        email: str,
        phone: str,
        source: str,
        message: str,
        company: str | None = None,
    ) -> tuple[int, str, bool, list[str]]:
        """
        Score a lead.
    
        Returns (score, priority, flagged, reasons).
    
        The starting score is 50 (neutral).  We then add / subtract points
        for each signal we find.  The final score is clamped to [0, 100].
        """
        score = 50
        reasons: list[str] = []
        flagged = False
    
        name_n = _normalize(name)
        email_n = _normalize(email).lower()
        phone_n = _normalize(phone)
    
    --- stderr ---

[turno 18] bash  {"command": "cd /workspace && python3 << 'PY'\nfrom app.scoring import score_lead\n\ncases = [\n    dict(name=\"Carlos García\", email=\"carlos@acme-corp.com\", phone=\"+34611222333\",\n         source=\"web-contact\",\n         message=\"Hola, estamos evaluando opciones para un proyecto de migración de CRM en mi empresa. \"\n                 \"Necesitamos una demo ASAP y tenemos presupuesto aprobado para este trimestre. \"\n                 \"Somos un equipo de 25 usuarios.\",\n         company=\"ACME Corp\"),\n\n    dict(name=\"Maria Lopez\", email=\"maria@gmail.com\", phone=\"612345678\",\n         source=\"newsletter\", message=\"solo curiosidad\"),\n\n    dict(name=\"test\", email=\"foo@mailinator.com\", phone=\"123456789\",\n         source=\"demo-form\", message=\"asdf asdf asdf\"),\n\n    dict(name=\"Juan Pérez\", email=\"juan.perez@empresa.es\", phone=\"+34911222333\",\n         source=\"pricing\",\n         message=\"Buenas, somos una pyme de 15 personas y estamos interesados en vuestro plan. \"\n                 \"¿Podríais pasarme un quote con pricing para 10 seats? Gracias.\",\n         company=\"Empresa SL\"),\n\n    dict(name=\"Bot McBot\", email=\"spam@guerrillamail.com\", phone=\"111111111\",\n         source=\"web-contact\",\n         message=\"Click here now! Buy viagra! Casino bonus! Bitcoin investment opportunity! \"\n                 \"https://spam.example.com https://more.example.com\"),\n\n    dict(name=\"\", email=\"x@y.com\", phone=\"612345678\", source=\"web\", message=\"Hola\"),\n    dict(name=\"John Doe\", email=\"john@example.com\", phone=\"12345\", source=\"web\", message=\"hi\"),\n]\n\nfor c in cases:\n    s, p, fl, r = score_lead(**c)\n    print(f\"score={s:3d} priority={p:5s} flagged={fl}\")\n    print(f\"  reasons: {r}\")\n    print()\nPY\n"}
    exit=0
    --- stdout ---
    score=100 priority=hot   flagged=False
      reasons: ['business email domain (acme-corp.com)', 'complete name with surname', 'valid phone number', 'international-format phone', 'substantive message', 'buying signals (2): demo, asap', 'company provided']
    
    score= 52 priority=warm  flagged=False
      reasons: ['free webmail domain (gmail.com)', 'complete name with surname', 'valid phone number', 'short message']
    
    score=  0 priority=junk  flagged=True
      reasons: ['disposable email domain (mailinator.com)', 'test/junk name "test"', 'invalid or suspicious phone number', 'short message']
    
    score=100 priority=hot   flagged=False
      reasons: ['business email domain (empresa.es)', 'complete name with surname', 'valid phone number', 'international-format phone', 'substantive message', 'buying signals (3): quote, pricing, seats', 'company provided']
    
    score=  0 priority=junk  flagged=True
      reasons: ['disposable email domain (guerrillamail.com)', 'complete name with surname', 'invalid or suspicious phone number', 'substantive message', 'spam keywords: viagra, casino, bitcoin investment', 'message contains 2 URL(s)', 'buying signals (1): buy']
    
    score= 30 priority=junk  flagged=True
      reasons: ['business email domain (y.com)', 'empty name', 'valid phone number', 'very short message (<10 chars)']
    
    score=  0 priority=junk  flagged=True
      reasons: ['business email domain (example.com)', 'test/junk name "John Doe"', 'invalid or suspicious phone number', 'very short message (<10 chars)']
    
    
    --- stderr ---

[turno 19] bash  {"command": "cd /workspace && rm -f leads.db && nohup sh run.sh > /tmp/server.log 2>&1 &\necho \"started pid=$!\"\nsleep 2\ncurl -sS http://127.0.0.1:8080/healthz"}
    exit=127
    --- stdout ---
    started pid=290
    
    --- stderr ---
    sh: 4: curl: not found

[turno 20] bash  {"command": "which curl wget python3; ls /usr/bin/ | grep -E '^(curl|wget|http)' | head -5"}
    exit=0
    --- stdout ---
    /usr/local/bin/python3
    
    --- stderr ---

[turno 21] bash  {"command": "sleep 1 && cat /tmp/server.log; echo \"---\"; ps -ef | grep -E \"uvicorn|run.sh\" | grep -v grep"}
    exit=1
    --- stdout ---
    INFO:     Started server process [290]
    INFO:     Waiting for application startup.
    2026-06-27 11:55:52,529 INFO leads Storage initialised at /workspace/leads.db
    INFO:     Application startup complete.
    INFO:     Uvicorn running on http://0.0.0.0:8080 (Press CTRL+C to quit)
    ---
    
    --- stderr ---
    sh: 1: ps: not found

[turno 22] bash  {"command": "python3 << 'PY'\nimport urllib.request, urllib.error, json\n\ndef req(method, path, body=None, headers=None):\n    headers = dict(headers or {})\n    data = None\n    if body is not None:\n        data = json.dumps(body).encode()\n        headers.setdefault(\"Content-Type\", \"application/json\")\n    r = urllib.request.Request(f\"http://127.0.0.1:8080{path}\", data=data, method=method, headers=headers)\n    try:\n        with urllib.request.urlopen(r) as resp:\n            return resp.status, resp.read().decode()\n    except urllib.error.HTTPError as e:\n        return e.code, e.read().decode()\n\n# 0. healthz\nprint(\"GET /healthz ->\", req(\"GET\", \"/healthz\"))\n\n# 1. Real B2B lead\nprint(\"\\n--- POST /leads (real B2B) ---\")\nstatus, body = req(\"POST\", \"/leads\", {\n    \"name\": \"Carlos García\",\n    \"email\": \"carlos@acme-corp.com\",\n    \"phone\": \"+34611222333\",\n    \"source\": \"web-contact\",\n    \"message\": \"Hola, estamos evaluando opciones para un proyecto de migración de CRM en mi empresa. \"\n               \"Necesitamos una demo ASAP y tenemos presupuesto aprobado para este trimestre. \"\n               \"Somos un equipo de 25 usuarios.\",\n    \"company\": \"ACME Corp\"\n})\nprint(status, body)\n\n# 2. Junk with disposable email\nprint(\"\\n--- POST /leads (junk: disposable email) ---\")\nstatus, body = req(\"POST\", \"/leads\", {\n    \"name\": \"test\",\n    \"email\": \"foo@mailinator.com\",\n    \"phone\": \"123456789\",\n    \"source\": \"demo-form\",\n    \"message\": \"asdf asdf asdf\"\n})\nprint(status, body)\n\n# 3. Spam message\nprint(\"\\n--- POST /leads (spam message) ---\")\nstatus, body = req(\"POST\", \"/leads\", {\n    \"name\": \"Spam Bot\",\n    \"email\": \"spam@somebiz.com\",\n    \"phone\": \"612345678\",\n    \"source\": \"web-contact\",\n    \"message\": \"Click here now! Buy viagra! Casino bonus! Bitcoin investment! \"\n               \"https://spam.example.com https://more.example.com\"\n})\nprint(status, body)\n\n# 4. Free webmail short msg\nprint(\"\\n--- POST /leads (free webmail + short msg) ---\")\nstatus, body = req(\"POST\", \"/leads\", {\n    \"name\": \"Maria Lopez\",\n    \"email\": \"maria@gmail.com\",\n    \"phone\": \"612345678\",\n    \"source\": \"newsletter\",\n    \"message\": \"solo curiosidad\"\n})\nprint(status, body)\n\n# 5. Real B2B #2\nprint(\"\\n--- POST /leads (B2B quote) ---\")\nstatus, body = req(\"POST\", \"/leads\", {\n    \"name\": \"Juan Pérez\",\n    \"email\": \"juan.perez@empresa.es\",\n    \"phone\": \"+34911222333\",\n    \"source\": \"pricing\",\n    \"message\": \"Buenas, somos una pyme de 15 personas y estamos interesados en vuestro plan. \"\n               \"¿Podríais pasarme un quote con pricing para 10 seats? Gracias.\",\n    \"company\": \"Empresa SL\"\n})\nprint(status, body)\n\nPY\n"}
    exit=0
    --- stdout ---
    GET /healthz -> (200, '{"status":"ok"}')
    
    --- POST /leads (real B2B) ---
    201 {"id":"f4597426dd6f4569a3e22f57104441bf","status":"created"}
    
    --- POST /leads (junk: disposable email) ---
    201 {"id":"17bfe6c5bf264368b0d3c31652b6333d","status":"created"}
    
    --- POST /leads (spam message) ---
    201 {"id":"393c7d604ef3487db393f38071d60c77","status":"created"}
    
    --- POST /leads (free webmail + short msg) ---
    201 {"id":"268f2da75b464fd5a1fe5816dd76a379","status":"created"}
    
    --- POST /leads (B2B quote) ---
    201 {"id":"4d1809cdc7554256b075626f7f1399b3","status":"created"}
    
    --- stderr ---

[turno 23] bash  {"command": "python3 << 'PY'\nimport urllib.request, urllib.error, json\n\ndef req(method, path, body=None, headers=None):\n    headers = dict(headers or {})\n    data = None\n    if body is not None:\n        data = json.dumps(body).encode()\n        headers.setdefault(\"Content-Type\", \"application/json\")\n    r = urllib.request.Request(f\"http://127.0.0.1:8080{path}\", data=data, method=method, headers=headers)\n    try:\n        with urllib.request.urlopen(r) as resp:\n            return resp.status, json.loads(resp.read().decode())\n    except urllib.error.HTTPError as e:\n        return e.code, e.read().decode()\n\n# GET /leads\nprint(\"--- GET /leads (should be sorted, no junk) ---\")\nstatus, body = req(\"GET\", \"/leads\")\nprint(f\"HTTP {status}  count={len(body)}\")\nfor lead in body:\n    print(f\"  [{lead['score']:3d} {lead['priority']:5s}] {lead['name']:20s} {lead['email']:30s} src={lead['source']}\")\n\nprint()\nprint(\"--- GET /leads?source=pricing ---\")\nstatus, body = req(\"GET\", \"/leads?source=pricing\")\nprint(f\"HTTP {status}  count={len(body)}\")\nfor lead in body:\n    print(f\"  [{lead['score']:3d} {lead['priority']:5s}] {lead['name']:20s} {lead['email']:30s} src={lead['source']}\")\n\n# GET /leads/{id}\nprint()\nprint(\"--- GET /leads/<junk_id> (should still return junk with flagged=true) ---\")\nstatus, body = req(\"GET\", \"/leads/17bfe6c5bf264368b0d3c31652b6333d\")\nprint(f\"HTTP {status}  flagged={body['flagged']} priority={body['priority']}\")\nprint(f\"  reasons: {body['reasons']}\")\n\nprint()\nprint(\"--- GET /leads/does-not-exist ---\")\nstatus, body = req(\"GET\", \"/leads/does-not-exist\")\nprint(f\"HTTP {status}  body={body}\")\n\n# Dedupe by (email, source)\nprint()\nprint(\"--- Dedupe by (email, source) ---\")\nstatus1, body1 = req(\"POST\", \"/leads\", {\n    \"name\": \"Carlos García\",\n    \"email\": \"carlos@acme-corp.com\",\n    \"phone\": \"+34611222333\",\n    \"source\": \"web-contact\",\n    \"message\": \"another message\",\n})\nstatus2, body2 = req(\"POST\", \"/leads\", {\n    \"name\": \"Carlos García\",\n    \"email\": \"carlos@acme-corp.com\",\n    \"phone\": \"+34611222333\",\n    \"source\": \"web-contact\",\n    \"message\": \"another message\",\n})\nprint(f\"first  : {status1} {body1}\")\nprint(f\"second : {status2} {body2}\")\nprint(f\"Same id? {body1['id'] == body2['id']}\")\n\n# Idempotency-Key\nprint()\nprint(\"--- Idempotency-Key ---\")\nheaders = {\"Idempotency-Key\": \"form-submit-abc-123\"}\nstatus1, body1 = req(\"POST\", \"/leads\", {\n    \"name\": \"Idem Test\",\n    \"email\": \"idem-test@corp.com\",\n    \"phone\": \"612000000\",\n    \"source\": \"test-form\",\n    \"message\": \"hello\",\n}, headers=headers)\nstatus2, body2 = req(\"POST\", \"/leads\", {\n    \"name\": \"DIFFERENT name\",\n    \"email\": \"different@corp.com\",\n    \"phone\": \"699999999\",\n    \"source\": \"test-form\",\n    \"message\": \"completely different\",\n}, headers=headers)\nprint(f\"first  : {status1} {body1}\")\nprint(f\"second : {status2} {body2}\")\nprint(f\"Same id? {body1['id'] == body2['id']}\")\n\n# Email normalization case-insensitive\nprint()\nprint(\"--- Dedupe case-insensitive email ---\")\nstatus1, body1 = req(\"POST\", \"/leads\", {\n    \"name\": \"Test User\",\n    \"email\": \"User@AnotherCorp.com\",\n    \"phone\": \"612000000\",\n    \"source\": \"case-test\",\n    \"message\": \"first\"\n})\nstatus2, body2 = req(\"POST\", \"/leads\", {\n    \"name\": \"Test User\",\n    \"email\": \"user@anothercorp.com\",\n    \"phone\": \"612000000\",\n    \"source\": \"case-test\",\n    \"message\": \"second\"\n})\nprint(f\"first  : {status1} {body1}\")\nprint(f\"second : {status2} {body2}\")\nprint(f\"Same id? {body1['id'] == body2['id']}\")\nPY\n"}
    exit=0
    --- stdout ---
    --- GET /leads (should be sorted, no junk) ---
    HTTP 200  count=3
      [100 hot  ] Carlos García        carlos@acme-corp.com           src=web-contact
      [100 hot  ] Juan Pérez           juan.perez@empresa.es          src=pricing
      [ 52 warm ] Maria Lopez          maria@gmail.com                src=newsletter
    
    --- GET /leads?source=pricing ---
    HTTP 200  count=1
      [100 hot  ] Juan Pérez           juan.perez@empresa.es          src=pricing
    
    --- GET /leads/<junk_id> (should still return junk with flagged=true) ---
    HTTP 200  flagged=True priority=junk
      reasons: ['disposable email domain (mailinator.com)', 'test/junk name "test"', 'invalid or suspicious phone number', 'short message']
    
    --- GET /leads/does-not-exist ---
    HTTP 404  body={"detail":"Lead not found"}
    
    --- Dedupe by (email, source) ---
    first  : 201 {'id': 'f4597426dd6f4569a3e22f57104441bf', 'status': 'duplicate'}
    second : 201 {'id': 'f4597426dd6f4569a3e22f57104441bf', 'status': 'duplicate'}
    Same id? True
    
    --- Idempotency-Key ---
    first  : 201 {'id': '982185797e944946976d33615d53515b', 'status': 'created'}
    second : 201 {'id': '982185797e944946976d33615d53515b', 'status': 'duplicate'}
    Same id? True
    
    --- Dedupe case-insensitive email ---
    first  : 201 {'id': '29e4aa2cb70d499ebc2bfe201d87a321', 'status': 'created'}
    second : 201 {'id': '29e4aa2cb70d499ebc2bfe201d87a321', 'status': 'duplicate'}
    Same id? True
    
    --- stderr ---

[turno 24] bash  {"command": "python3 << 'PY'\nimport urllib.request, urllib.error, json\n\ndef req(method, path, body=None, headers=None):\n    headers = dict(headers or {})\n    data = None\n    if body is not None:\n        data = json.dumps(body).encode()\n        headers.setdefault(\"Content-Type\", \"application/json\")\n    r = urllib.request.Request(f\"http://127.0.0.1:8080{path}\", data=data, method=method, headers=headers)\n    try:\n        with urllib.request.urlopen(r) as resp:\n            return resp.status, json.loads(resp.read().decode())\n    except urllib.error.HTTPError as e:\n        return e.code, e.read().decode()\n\n# Empty message\nprint(\"--- POST /leads (empty message) ---\")\nstatus, body = req(\"POST\", \"/leads\", {\n    \"name\": \"Ana Ruiz\",\n    \"email\": \"ana@startup.io\",\n    \"phone\": \"+34666555444\",\n    \"source\": \"demo-request\",\n    \"message\": \"\"\n})\nprint(status, body)\n\n# No company\nprint(\"\\n--- POST /leads (no company) ---\")\nstatus, body = req(\"POST\", \"/leads\", {\n    \"name\": \"Pedro Sanz\",\n    \"email\": \"pedro@studio.es\",\n    \"phone\": \"933334455\",\n    \"source\": \"contact-form\",\n    \"message\": \"Buenas tardes, me gustaría recibir más información sobre vuestros servicios.\"\n})\nprint(status, body)\n\n# Verify full shape\nstatus, body = req(\"GET\", \"/leads/982185797e944946976d33615d53515b\")\nprint(\"\\n--- Full shape of an existing lead ---\")\nprint(json.dumps(body, indent=2, ensure_ascii=False))\n\n# Missing required field\nprint(\"\\n--- POST /leads (missing email) ---\")\nstatus, body = req(\"POST\", \"/leads\", {\n    \"name\": \"No Email\",\n    \"phone\": \"600000000\",\n    \"source\": \"broken-form\",\n    \"message\": \"no email\"\n})\nprint(status, body)\n\n# Verify ordering when more leads\nprint(\"\\n--- GET /leads (final ordering) ---\")\nstatus, body = req(\"GET\", \"/leads\")\nprint(f\"HTTP {status}  count={len(body)}\")\nfor lead in body:\n    print(f\"  [{lead['score']:3d} {lead['priority']:5s}] {lead['name']:20s} {lead['email']:30s} src={lead['source']}\")\n\n# Verify source filter works with multiple sources\nprint(\"\\n--- GET /leads?source=demo-request ---\")\nstatus, body = req(\"GET\", \"/leads?source=demo-request\")\nprint(f\"HTTP {status}  count={len(body)}\")\nfor lead in body:\n    print(f\"  [{lead['score']:3d} {lead['priority']:5s}] {lead['name']} -> {lead['source']}\")\nPY\n"}
    exit=0
    --- stdout ---
    --- POST /leads (empty message) ---
    201 {'id': '331b90c9ef064d758d0541197abda586', 'status': 'created'}
    
    --- POST /leads (no company) ---
    201 {'id': '3f89f49c73be480a9c4b8c09dd308224', 'status': 'created'}
    
    --- Full shape of an existing lead ---
    {
      "id": "982185797e944946976d33615d53515b",
      "name": "Idem Test",
      "email": "idem-test@corp.com",
      "phone": "612000000",
      "source": "test-form",
      "message": "hello",
      "company": null,
      "priority": "warm",
      "score": 65,
      "flagged": false,
      "reasons": [
        "business email domain (corp.com)",
        "complete name with surname",
        "valid phone number",
        "very short message (<10 chars)"
      ],
      "status": "new",
      "created_at": "2026-06-27T11:56:28+00:00",
      "updated_at": "2026-06-27T11:56:28+00:00"
    }
    
    --- POST /leads (missing email) ---
    422 {"detail":[{"type":"missing","loc":["body","email"],"msg":"Field required","input":{"name":"No Email","phone":"600000000","source":"broken-form","message":"no email"}}]}
    
    --- GET /leads (final ordering) ---
    HTTP 200  count=7
      [100 hot  ] Carlos García        carlos@acme-corp.com           src=web-contact
      [100 hot  ] Juan Pérez           juan.perez@empresa.es          src=pricing
      [ 80 hot  ] Pedro Sanz           pedro@studio.es                src=contact-form
      [ 65 warm ] Idem Test            idem-test@corp.com             src=test-form
      [ 65 warm ] Test User            user@anothercorp.com           src=case-test
      [ 62 warm ] Ana Ruiz             ana@startup.io                 src=demo-request
      [ 52 warm ] Maria Lopez          maria@gmail.com                src=newsletter
    
    --- GET /leads?source=demo-request ---
    HTTP 200  count=1
      [ 62 warm ] Ana Ruiz -> demo-request
    
    --- stderr ---

[turno 25] bash  {"command": "python3 << 'PY'\nimport urllib.request, urllib.error, json\n\ndef req(method, path):\n    r = urllib.request.Request(f\"http://127.0.0.1:8080{path}\", method=method)\n    try:\n        with urllib.request.urlopen(r) as resp:\n            return resp.status, json.loads(resp.read().decode())\n    except urllib.error.HTTPError as e:\n        return e.code, e.read().decode()\n\n# Junk leads should still be fetchable by ID\njunk_ids = [\n    (\"17bfe6c5bf264368b0d3c31652b6333d\", \"disposable+test\"),\n    (\"393c7d604ef3487db393f38071d60c77\", \"spam message\"),\n]\nfor jid, desc in junk_ids:\n    status, body = req(\"GET\", f\"/leads/{jid}\")\n    print(f\"[{desc}] HTTP {status} flagged={body['flagged']} priority={body['priority']} score={body['score']}\")\n    print(f\"  reasons: {body['reasons']}\")\n    print()\n\n# Total counts in DB\nimport sqlite3\ncon = sqlite3.connect(\"/workspace/leads.db\")\ncur = con.cursor()\ntotal = cur.execute(\"SELECT COUNT(*) FROM leads\").fetchone()[0]\nflagged = cur.execute(\"SELECT COUNT(*) FROM leads WHERE flagged=1\").fetchone()[0]\nvisible = cur.execute(\"SELECT COUNT(*) FROM leads WHERE flagged=0\").fetchone()[0]\nprint(f\"DB total: {total}, flagged (hidden): {flagged}, visible: {visible}\")\n\nstatus, body = req(\"GET\", \"/leads\")\nprint(f\"GET /leads returned: {len(body)} (should equal {visible})\")\nassert len(body) == visible, \"mismatch!\"\nprint(\"OK -- hidden leads are correctly filtered out\")\nPY\n"}
    exit=0
    --- stdout ---
    [disposable+test] HTTP 200 flagged=True priority=junk score=0
      reasons: ['disposable email domain (mailinator.com)', 'test/junk name "test"', 'invalid or suspicious phone number', 'short message']
    
    [spam message] HTTP 200 flagged=True priority=junk score=35
      reasons: ['business email domain (somebiz.com)', 'complete name with surname', 'valid phone number', 'substantive message', 'spam keywords: viagra, casino, bitcoin investment', 'message contains 2 URL(s)', 'buying signals (1): buy']
    
    DB total: 9, flagged (hidden): 2, visible: 7
    GET /leads returned: 7 (should equal 7)
    OK -- hidden leads are correctly filtered out
    
    --- stderr ---

[turno 26] bash  {"command": "python3 << 'PY'\n# Stress test: spam a bunch of leads and make sure ordering is stable and fast\nimport urllib.request, json, time, random, string\n\ndef req(method, path, body=None, headers=None):\n    headers = dict(headers or {})\n    data = None\n    if body is not None:\n        data = json.dumps(body).encode()\n        headers.setdefault(\"Content-Type\", \"application/json\")\n    r = urllib.request.Request(f\"http://127.0.0.1:8080{path}\", data=data, method=method, headers=headers)\n    try:\n        with urllib.request.urlopen(r) as resp:\n            return resp.status, json.loads(resp.read().decode())\n    except urllib.error.HTTPError as e:\n        return e.code, e.read().decode()\n\nsources = [\"hero-form\", \"footer-form\", \"demo-request\", \"pricing-page\"]\nfirst_names = [\"Alex\", \"Sam\", \"Lola\", \"Hugo\", \"Eva\", \"Pablo\", \"Sara\", \"Diego\"]\nlast_names = [\"Gómez\", \"Ruiz\", \"Vidal\", \"Núñez\", \"Iglesias\", \"Cano\"]\n\nt0 = time.time()\nN = 50\nfor i in range(N):\n    name = f\"{random.choice(first_names)} {random.choice(last_names)}\"\n    domain = random.choice([\"bigcorp.com\", \"smallcorp.io\", \"gmail.com\", \"yahoo.com\"])\n    local = f\"user{i:04d}\"\n    msg_options = [\n        \"Hola, necesito información sobre vuestro producto y pricing.\",\n        \"solo probar\",\n        \"test\",\n        \"Hi! I'm evaluating your platform for our team of 50, looking for a quote ASAP.\",\n        \"\",\n    ]\n    payload = {\n        \"name\": name,\n        \"email\": f\"{local}@{domain}\",\n        \"phone\": f\"+346{random.randint(10000000,99999999)}\",\n        \"source\": random.choice(sources),\n        \"message\": random.choice(msg_options),\n    }\n    s, b = req(\"POST\", \"/leads\", payload)\nt1 = time.time()\nprint(f\"Created {N} leads in {t1-t0:.2f}s ({N/(t1-t0):.1f} req/s)\")\n\nt0 = time.time()\nfor src in sources:\n    s, b = req(\"GET\", f\"/leads?source={src}\")\n    print(f\"  source={src:15s} count={len(b)}\")\nt1 = time.time()\nprint(f\"GET by source: {t1-t0:.3f}s for 4 queries\")\n\nt0 = time.time()\ns, b = req(\"GET\", \"/leads\")\nprint(f\"\\nGET /leads: HTTP {s} returned {len(b)} leads\")\n# verify ordering\nprev = 999\nfor lead in b:\n    assert lead['score'] <= prev, f\"ordering broken at {lead}\"\n    prev = lead['score']\nprint(\"Ordering verified: scores are non-increasing\")\nt1 = time.time()\nprint(f\"GET /leads: {t1-t0:.3f}s\")\n\n# Make sure flagged are still hidden\nflagged_in_body = sum(1 for l in b if l['flagged'])\nprint(f\"Flagged leads in GET /leads response: {flagged_in_body} (must be 0)\")\nassert flagged_in_body == 0\nPY\n"}
    exit=0
    --- stdout ---
    Created 50 leads in 0.49s (102.7 req/s)
      source=hero-form       count=17
      source=footer-form     count=8
      source=demo-request    count=19
      source=pricing-page    count=7
    GET by source: 0.008s for 4 queries
    
    GET /leads: HTTP 200 returned 57 leads
    Ordering verified: scores are non-increasing
    GET /leads: 0.002s
    Flagged leads in GET /leads response: 0 (must be 0)
    
    --- stderr ---

[turno 27] bash  {"command": "python3 -c \"\nimport socket\ns = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\ns.settimeout(2)\nr = s.connect_ex(('0.0.0.0', 8080))\nprint('connect to 0.0.0.0:8080:', 'OK' if r == 0 else f'FAIL ({r})')\ns.close()\ns2 = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\ns2.settimeout(2)\nr = s2.connect_ex(('127.0.0.1', 8080))\nprint('connect to 127.0.0.1:8080:', 'OK' if r == 0 else f'FAIL ({r})')\ns2.close()\n\"\n# Stop the server\npkill -f \"uvicorn app.main\" 2>/dev/null\nsleep 1\necho \"server stopped\""}
    exit=0
    --- stdout ---
    connect to 0.0.0.0:8080: OK
    connect to 127.0.0.1:8080: OK
    server stopped
    
    --- stderr ---

[turno 28] bash  {"command": "rm -f /workspace/leads.db\n# Start in background, hit a couple of endpoints, then stop\nnohup sh /workspace/run.sh > /tmp/server2.log 2>&1 &\nsleep 2\npython3 << 'PY'\nimport urllib.request, json\ndef req(method, path, body=None):\n    data = json.dumps(body).encode() if body is not None else None\n    r = urllib.request.Request(f\"http://127.0.0.1:8080{path}\", data=data, method=method,\n                               headers={\"Content-Type\": \"application/json\"} if data else {})\n    with urllib.request.urlopen(r) as resp:\n        return resp.status, json.loads(resp.read().decode())\n\nprint(\"healthz:\", req(\"GET\", \"/healthz\"))\ns, b = req(\"POST\", \"/leads\", {\n    \"name\": \"Smoke Test\",\n    \"email\": \"smoke@test.com\",\n    \"phone\": \"600000000\",\n    \"source\": \"smoke\",\n    \"message\": \"smoke test message\"\n})\nprint(f\"POST: {s} {b}\")\ns, b = req(\"GET\", \"/leads\")\nprint(f\"GET: {s} count={len(b)}\")\nPY\npkill -f \"uvicorn app.main\" 2>/dev/null\nsleep 1\necho \"done\""}
    exit=0
    --- stdout ---
    healthz: (200, {'status': 'ok'})
    POST: 201 {'id': 'd0e9afc81495447b8a9c9b9f3c1539cc', 'status': 'created'}
    GET: 200 count=1
    done
    
    --- stderr ---

[turno 29] bash  {"command": "ls -la /workspace/run.sh\nchmod +x /workspace/run.sh\nrm -f /workspace/leads.db\necho \"---\"\necho \"Final tree:\"\nfind /workspace -type f -not -path \"*/__pycache__/*\" -not -name \"*.pyc\" | sort\necho \"---\"\necho \"run.sh first lines:\"\nhead -5 /workspace/run.sh"}
    exit=0
    --- stdout ---
    -rw-r--r-- 1 root root 414 Jun 27 11:54 /workspace/run.sh
    ---
    Final tree:
    /workspace/DECISIONS.md
    /workspace/README.md
    /workspace/app/__init__.py
    /workspace/app/config.py
    /workspace/app/main.py
    /workspace/app/models.py
    /workspace/app/scoring.py
    /workspace/app/storage.py
    /workspace/requirements.txt
    /workspace/run.sh
    ---
    run.sh first lines:
    #!/bin/sh
    # Launch the Lead Capture API on 0.0.0.0:8080 in the foreground.
    #
    # Usage:
    #     sh run.sh
    
    --- stderr ---

[turno 30] bash  {"command": "rm -rf /workspace/app/__pycache__ /workspace/leads.db\nls -la /workspace/\necho \"---\"\n# final smoke: start server, hit endpoints, stop\nnohup sh /workspace/run.sh > /tmp/final.log 2>&1 &\nsleep 2\npython3 -c \"\nimport urllib.request, json\ndef req(m,p,b=None):\n    d=json.dumps(b).encode() if b else None\n    r=urllib.request.Request(f'http://127.0.0.1:8080{p}', data=d, method=m,\n        headers={'Content-Type':'application/json'} if d else {})\n    return urllib.request.urlopen(r).read().decode()\nprint('GET /healthz:', req('GET','/healthz'))\nprint('POST /leads (real):', req('POST','/leads',{'name':'Alice Smith','email':'alice@acme.com','phone':'+15551234567','source':'web','message':'I would like a quote for our team of 50.'}))\nprint('GET /leads:', req('GET','/leads')[:200], '...')\n\"\npkill -f \"uvicorn app.main\" 2>/dev/null\nsleep 1\nrm -f /workspace/leads.db\necho \"smoke test done\""}
    exit=0
    --- stdout ---
    total 32
    drwxr-xr-x 3 root root 4096 Jun 27 11:57 .
    drwxr-xr-x 1 root root 4096 Jun 27 11:51 ..
    -rw-r--r-- 1 root root 5398 Jun 27 11:54 DECISIONS.md
    -rw-r--r-- 1 root root 3503 Jun 27 11:51 README.md
    drwxr-xr-x 2 root root 4096 Jun 27 11:57 app
    -rw-r--r-- 1 root root   60 Jun 27 11:54 requirements.txt
    -rwxr-xr-x 1 root root  414 Jun 27 11:54 run.sh
    ---
    GET /healthz: {"status":"ok"}
    POST /leads (real): {"id":"385f91103e134b52989b9a2be3bdd587","status":"created"}
    GET /leads: [{"id":"385f91103e134b52989b9a2be3bdd587","name":"Alice Smith","email":"alice@acme.com","phone":"+15551234567","source":"web","message":"I would like a quote for our team of 50.","company":null,"prior ...
    smoke test done
    
    --- stderr ---

=== Respuesta final del modelo ===
<think>
All works. Let me do a final review of everything:

✅ **Stack chosen**: Python 3 + FastAPI + SQLite (justified in DECISIONS.md)
✅ **Endpoints**:
   - `POST /leads` with `Idempotency-Key` support and dedupe by (email, source)
   - `GET /leads` (filtered, prioritized, sorted)
   - `GET /leads?source=<form>` (filtered by source)
   - `GET /leads/{id}` (with 404)
✅ **Lead shape**: id, name, email, phone, source, message, company at root + extras (priority, score, flagged, reasons, status, timestamps)
✅ **Spam filtering**: disposable email domains, junk names, spam keywords, URLs in message, invalid phones
✅ **Priority scoring**: 0-100 score → hot/warm/cold/junk bucket
✅ **Dedupe**: by (email, source), case-insensitive on email
✅ **Idempotency**: by `Idempotency-Key` header
✅ **run.sh**: executable, listens on 0.0.0.0:8080, runs in foreground
✅ **No external dependencies**: SQLite is local, scoring is pure Python
✅ **DECISIONS.md**: explains the stack and design choices

The solution is complete. Let me return "LISTO".
</think>

Todo verificado. Resumen de lo entregado:

**Stack**: Python 3.12 + FastAPI + SQLite — sin servicios externos, todo en proceso, perfecto para un VPS modesto y cientos de leads/día.

**Endpoints funcionando** (verificados con pruebas reales):
- `POST /leads` → 201 `{id}`, idempotente por header `Idempotency-Key`, deduplica por `(email, source)` case-insensitive
- `GET /leads` → solo leads que merecen atención (no basura), ordenados por score descendente
- `GET /leads?source=<form>` → mismo listado filtrado por formulario
- `GET /leads/{id}` → lead completo o 404
- `GET /healthz` → para el VPS

**Cuerpo del lead** (raíz): `id, name, email, phone, source, message, company` + extras (`priority`, `score`, `flagged`, `reasons`, `status`, `created_at`, `updated_at`).

**Filtrado de basura y priorización** (en `scoring.py` + `config.py`):
- Dominios de email desechables (mailinator, guerrillamail, yopmail, ~70 más) → flagged
- Emails de webmail gratuita (gmail, yahoo…) → baja prioridad pero no flagged
- Nombres de prueba ("test", "asdf", "John Doe"…) → flagged
- Teléfonos inválidos (todos iguales, muy cortos) → penalización
- Keywords de spam (viagra, casino, bitcoin investment…) → flagged
- URLs en el mensaje → penalización
- Señales de compra (quote, pricing, demo, asap, seats, team…) → bonus
- Score 0-100 → `hot` (≥70) / `warm` (≥45) / `cold` / `junk` (flagged)

**Pruebas superadas**: orden estable, score monotónico, dedupe por email+source, idempotency-key, filtrado de basura invisible en `GET /leads` pero consultable por id, ~100 req/s de escritura, ~2ms para listar.

LISTO

[stats] done=True budget_exceeded=False turns=31 tool_calls=43 tokens=23150+24445 wallclock=365.8s