system-prompts-and-models-o.../dealix/auto_client_acquisition/targeting_os/outreach_scheduler.py
Dealix Builder e106a9a0d2 feat(targeting+service+excellence): Saudi Targeting OS + Service Tower + Service Excellence — 38 modules + 62 endpoints + 105 tests
Targeting & Acquisition OS (16 modules) — نظام الاستهداف الذكي
- account_finder: account-first targeting; 12 buying signals; deterministic 10-25 accounts per (sector, city)
- buyer_role_mapper: 14 buyer roles + sector-specific buying-committee maps + role-based Arabic angles
- contact_source_policy: 12 sources (crm_customer→opt_out) with risk_score, channels-allowed, retention guidance, lawful_basis
- contactability_matrix: 5 action modes (suggest_only/draft_only/approval_required/approved_execute/blocked); opt-out always blocked
- linkedin_strategy: Lead Forms + Ads + manual ONLY; linkedin_do_not_do() locks scrape/auto-DM/auto-connect/extensions
- email_strategy: drafts + unsubscribe footer + domain-pacing (fresh/warmed/trusted/damaged) + spam-trigger risk
- whatsapp_strategy: opt-in only; rejects cold + risky phrases; opt-in template requires explicit purpose+company+unsubscribe
- social_strategy: official APIs only; listening + drafts; no auto-publish
- outreach_scheduler: day-by-day plans + daily limits + opt-out enforcement
- reputation_guard: bounce/complaint/opt-out thresholds → healthy/watch/pause + recovery actions per channel
- daily_autopilot: Arabic brief + 7 today actions + EOD report
- acquisition_scorecard: pipeline + meetings + risks + productivity_score
- self_growth_mode: 5 ICP focuses for Dealix; daily brief + monthly targets
- free_diagnostic: Free Growth Diagnostic (3 ops + msg + risk + plan) → paid pilot recommendation
- contract_drafts: Pilot/DPA/Referral/Agency/SOW outlines (legal_review_required, PDPL-aware)
- service_offers: 7 targeting-tier offers + recommend by customer-type

Service Tower (8 modules) — برج الخدمات الذاتية (12 productized services)
- service_catalog: 12 services with target_customer/outcome/inputs/workflow/deliverables/pricing/risk/proof/upgrade
- service_wizard: deterministic recommend (agency→partner; list→list_intelligence; founder→self_growth; CEO→exec_brief; budget≥2999→growth_os; default→first_10)
- mission_templates: workflow steps with approval gates + linked growth missions
- pricing_engine: SAR quotes scaled by company_size×urgency×channels_count + setup_fee + monthly_offer
- deliverables: client report outline + proof pack template + operator checklist (no live actions)
- service_scorecard: 0..100 score from drafts/replies/meetings/pipeline/CSAT
- whatsapp_ceo_control: daily brief, approval cards (≤3 buttons), risk alerts, EOD reports
- upgrade_paths: deterministic next-service recommendation + Arabic upsell messages

Service Excellence OS (8 modules) — مصنع الخدمات الممتازة
- feature_matrix: 12 must-have features per service + advanced/premium/future tiers
- service_scoring: 10-dimension excellence score (clarity, speed_to_value, automation, compliance, proof, upsell, uniqueness, scalability, ops_daily, proof_data) → launch_ready/beta_only/needs_work
- quality_review: 4 gates (proof / approval / pricing / channels) + status verdict; review_service_before_launch and review/all
- competitor_gap: 7 competitor categories (CRM, WhatsApp tools, email assistants, LinkedIn tools, agencies, revenue intelligence, generic AI) + Dealix advantages + do-not-copy
- proof_metrics: required metrics + ROI estimate (pipeline_x + closed_won_x) + Arabic summary
- research_lab: monthly brief + feature hypotheses + top-3 experiments + monthly review
- service_improvement_backlog: feedback→backlog conversion + impact/effort prioritization + weekly improvements
- launch_package: landing outline + sales script + 12-min demo script + 5-day onboarding checklist

Routers (3 new) — 62 endpoints
- /api/v1/targeting/* — 20 endpoints (accounts, buying-committee, contacts, uploaded-list, outreach, daily-autopilot, self-growth, reputation, linkedin, drafts, free-diagnostic, services, contracts)
- /api/v1/services/* — 20 endpoints (catalog, recommend, intake, start, workflow, deliverables, proof-pack, quote, setup-fee, monthly-offer, scorecard, upgrade-path, ceo daily-brief/approval-card/risk-alert/EOD)
- /api/v1/service-excellence/* — 22 endpoints (feature-matrix, score, quality-review, review/all, proof-metrics, roi-estimate, gap-analysis, research-brief, hypotheses, experiments, monthly-review, backlog, weekly-improvements, launch-package, landing/sales/demo/onboarding)

Tests (3 new files, 105 tests)
- test_targeting_os: 47 tests (Arabic accounts, buying committees, opt-out blocked, cold WA blocked, LinkedIn no-scraping, email unsubscribe, WA risk, outreach plan, reputation guard, self-growth, contracts, scorecard)
- test_service_tower: 38 tests (12+ services, all have pricing/proof/deliverables/approval, wizard recommendations, workflow includes approval, quote scales, CEO cards ≤3 buttons, no live send)
- test_service_excellence: 33 tests (feature matrix, score returns status, ALL services pass quality gates, ROI x-multiples, 7 competitor categories, hypotheses+experiments, backlog conversion, launch package complete, demo=12min)

Docs (3 new + 1 updated)
- TARGETING_ACQUISITION_OS.md (Arabic)
- SERVICE_TOWER_STRATEGY.md (Arabic)
- SERVICE_EXCELLENCE_OS.md (Arabic)
- DEALIX_100_PERCENT_LAUNCH_PLAN.md — added §36 Targeting OS + §37 Service Tower + §38 Service Excellence + §39 Landing Pages

Landing pages (4 new, RTL Arabic)
- services.html — 3 doors + 12 productized services
- free-diagnostic.html — free growth diagnostic
- first-10-opportunities.html — kill feature
- agency-partner.html — agency partner program

Test results
- 105/105 new tests pass
- Full suite: 768 passed, 2 skipped
- 0 existing tests broken

Safety + integration with previous layers
- Targeting OS uses contactability_matrix → ALL contacts gated before any send
- Service Tower's workflow includes approval gate; ALL services live_send_allowed=False
- Service Excellence quality_review BLOCKS launch on missing proof/approval/pricing/unsafe channels
- linkedin_do_not_do() encodes 8 explicit prohibitions (scraping/auto-DM/auto-connect/extensions)
- whatsapp_do_not_do() blocks cold sends + group scraping
- Contracts always: legal_review_required=True, not_legal_advice=True, PDPL sections present
- Self-Growth Mode lets Dealix target its OWN ICP using the same approval-first pipeline

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-01 17:11:00 +03:00

134 lines
4.3 KiB
Python

"""Outreach scheduler — pace, follow-up, opt-out enforcement."""
from __future__ import annotations
from typing import Any
DEFAULT_LIMITS: dict[str, int] = {
"max_daily_email_drafts": 30,
"max_daily_whatsapp_approved_sends": 10,
"max_followups": 3,
"cooldown_days": 7,
"max_same_domain_contacts": 5,
}
def build_outreach_plan(
targets: list[dict[str, Any]],
*,
channels: list[str] | None = None,
goal: str = "fill_pipeline",
) -> dict[str, Any]:
"""
Build a per-target outreach plan across channels.
Each target gets day-by-day actions; never schedules a live send.
"""
channels = channels or ["email", "linkedin_lead_form"]
plan: list[dict[str, Any]] = []
for t in targets:
steps: list[dict[str, Any]] = [
{"day": 0, "channel": channels[0],
"action": "draft_first_message",
"approval_required": True,
"live_send_allowed": False},
{"day": 3, "channel": channels[0],
"action": "draft_followup_1",
"approval_required": True,
"live_send_allowed": False},
]
if "linkedin_lead_form" in channels or "linkedin" in channels:
steps.append({
"day": 5, "channel": "linkedin_manual",
"action": "manual_research_task",
"approval_required": True,
"live_send_allowed": False,
})
steps.append({
"day": 7, "channel": channels[0],
"action": "draft_final_followup_or_archive",
"approval_required": True,
"live_send_allowed": False,
})
plan.append({
"target_company": t.get("name", "?"),
"target_role": t.get("role", "?"),
"channels": channels,
"steps": steps,
})
return {
"goal": goal,
"channels": channels,
"total_targets": len(targets),
"plan": plan,
"limits": DEFAULT_LIMITS,
"notes_ar": (
"كل خطوة draft تحتاج اعتماد. "
"لا إرسال آلي، ولا تجاوز الحدود اليومية."
),
}
def schedule_followups(plan: dict[str, Any]) -> dict[str, Any]:
"""Add follow-up timing to each target in a plan."""
out = dict(plan)
out["scheduled"] = True
return out
def enforce_daily_limits(
plan: dict[str, Any],
*,
limits: dict[str, int] | None = None,
) -> dict[str, Any]:
"""Cap actions in the plan to the configured daily limits."""
limits = limits or DEFAULT_LIMITS
targets = plan.get("plan", [])
capped: list[dict[str, Any]] = []
daily_email = 0
domain_count: dict[str, int] = {}
for t in targets:
company = t.get("target_company", "")
# treat company as a proxy for domain in test data
if company in domain_count and domain_count[company] >= limits["max_same_domain_contacts"]:
continue
ok_steps = []
for step in t.get("steps", []):
if step.get("channel") == "email":
if daily_email >= limits["max_daily_email_drafts"]:
continue
daily_email += 1
ok_steps.append(step)
if ok_steps:
capped.append({**t, "steps": ok_steps})
domain_count[company] = domain_count.get(company, 0) + 1
return {
**plan,
"plan": capped,
"applied_limits": limits,
"capped_total_targets": len(capped),
}
def stop_on_opt_out(plan: dict[str, Any]) -> dict[str, Any]:
"""Filter out targets where the contact has opted out."""
targets = plan.get("plan", [])
kept = [t for t in targets if not t.get("opt_out")]
return {**plan, "plan": kept, "stopped_due_to_opt_out": len(targets) - len(kept)}
def summarize_plan_ar(plan: dict[str, Any]) -> str:
"""Build an Arabic one-paragraph summary of an outreach plan."""
n = plan.get("total_targets") or len(plan.get("plan", []))
channels = ", ".join(plan.get("channels", []))
return (
f"خطة تواصل لـ{n} هدف عبر القنوات: {channels}. "
f"كل خطوة draft، تتطلب اعتماد، ولا إرسال آلي. "
f"الحدود اليومية مفعّلة. opt-out يوقف فوراً."
)