Portal FastAPI + 5 endpoints REST para Bootcamp Agentic AI con watsonx Orchestrate (FactorIT). Single container, Coolify-ready. - Landing brandeado FIT con formulario de registro (honeypot anti-bot) - Tokens itsdangerous para descargas (24h expiry) - 5 endpoints API: historical/available procedures, member-insights, schedule, generate-report (Jinja2 + Plotly) - SQLite con upsert-on-email para leads + log de descargas - Admin endpoints (HTTP Basic): leads.json, leads.csv, stats - 23 tests pytest pasando - Dockerfile listo para Coolify con volúmenes persistentes (/app/leads.db, /app/app/data/reports_output, /app/material) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
130 lines
4.3 KiB
Python
130 lines
4.3 KiB
Python
import json
|
|
import uuid
|
|
from pathlib import Path
|
|
|
|
import pandas as pd
|
|
import plotly.express as px
|
|
import plotly.io as pio
|
|
from fastapi import APIRouter, HTTPException
|
|
from jinja2 import Environment, FileSystemLoader, select_autoescape
|
|
|
|
from app.config import get_settings
|
|
|
|
router = APIRouter(prefix="/api/reports", tags=["reports"])
|
|
|
|
_DATA_DIR = Path(__file__).parent / "data"
|
|
_TEMPLATES_DIR = Path(__file__).parent / "templates"
|
|
|
|
_env = Environment(
|
|
loader=FileSystemLoader(str(_TEMPLATES_DIR)),
|
|
autoescape=select_autoescape(["html"]),
|
|
)
|
|
|
|
|
|
CARE_REPORT_PRESET = [
|
|
{"element_type": "header", "parameters": {"title": "Care Report"}},
|
|
{
|
|
"element_type": "overview",
|
|
"parameters": {
|
|
"prompt": "Summarize this email exchange in 3 bullet points: ",
|
|
"text_file": "./data/combined_email.txt",
|
|
"title": "Customer Overview",
|
|
},
|
|
},
|
|
{"element_type": "claim_review_chart", "parameters": {}},
|
|
{
|
|
"element_type": "table",
|
|
"parameters": {
|
|
"csv_file": "./data/aetna_claim_review_summary.csv",
|
|
"title": "Claim Review Summary",
|
|
},
|
|
},
|
|
]
|
|
|
|
|
|
def _resolve_path(relative: str) -> Path:
|
|
cleaned = relative.lstrip("./")
|
|
if cleaned.startswith("data/"):
|
|
cleaned = cleaned[len("data/"):]
|
|
return _DATA_DIR / cleaned
|
|
|
|
|
|
def _render_header(params: dict) -> str:
|
|
title = params.get("title", "")
|
|
return f"<h2 style='text-align:center;'>{title}</h2>"
|
|
|
|
|
|
def _render_overview(params: dict) -> str:
|
|
title = params.get("title", "Overview")
|
|
text_file = _resolve_path(params.get("text_file", ""))
|
|
if not text_file.exists():
|
|
raise HTTPException(status_code=400, detail=f"text_file not found: {params.get('text_file')}")
|
|
text = text_file.read_text(encoding="utf-8")
|
|
paragraphs = "".join(f"<p>{line}</p>" for line in text.splitlines() if line.strip())
|
|
return f"<h2>{title}</h2><div style='background:#F5F7FA;padding:16px;border-radius:8px;'>{paragraphs}</div>"
|
|
|
|
|
|
def _render_claim_chart() -> str:
|
|
df = pd.read_csv(_DATA_DIR / "aetna_claim_review_summary.csv")
|
|
fig = px.bar(
|
|
df,
|
|
x="CPT_Code",
|
|
y=["Charged_Amount", "Allowed_Amount", "Patient_Responsibility"],
|
|
barmode="group",
|
|
title="Claim Review by CPT Code",
|
|
color_discrete_sequence=["#0A1F44", "#1E4FA8", "#FF7A00"],
|
|
)
|
|
return pio.to_html(fig, full_html=False, include_plotlyjs="cdn")
|
|
|
|
|
|
def _render_table(params: dict) -> str:
|
|
title = params.get("title", "")
|
|
csv_file = _resolve_path(params.get("csv_file", ""))
|
|
if not csv_file.exists():
|
|
raise HTTPException(status_code=400, detail=f"csv_file not found: {params.get('csv_file')}")
|
|
df = pd.read_csv(csv_file)
|
|
return f"<h2>{title}</h2>" + df.to_html(index=False, classes="report-table", border=0)
|
|
|
|
|
|
_RENDERERS = {
|
|
"header": lambda params: _render_header(params),
|
|
"overview": lambda params: _render_overview(params),
|
|
"claim_review_chart": lambda _params: _render_claim_chart(),
|
|
"table": lambda params: _render_table(params),
|
|
}
|
|
|
|
|
|
@router.post("/generate-report")
|
|
def generate_report(payload: dict):
|
|
try:
|
|
layout = json.loads(payload["layout_config"])
|
|
except (KeyError, json.JSONDecodeError) as exc:
|
|
raise HTTPException(status_code=400, detail=f"Invalid layout_config: {exc}")
|
|
|
|
expanded: list[dict] = []
|
|
for item in layout:
|
|
if item == "care_report":
|
|
expanded.extend(CARE_REPORT_PRESET)
|
|
elif isinstance(item, dict):
|
|
expanded.append(item)
|
|
else:
|
|
raise HTTPException(status_code=400, detail=f"Unknown layout item: {item!r}")
|
|
|
|
parts: list[str] = []
|
|
for el in expanded:
|
|
kind = el.get("element_type")
|
|
if kind not in _RENDERERS:
|
|
raise HTTPException(status_code=400, detail=f"Unknown element_type: {kind}")
|
|
parts.append(_RENDERERS[kind](el.get("parameters", {})))
|
|
|
|
template = _env.get_template("report.html")
|
|
html = template.render(content="\n".join(parts))
|
|
|
|
settings = get_settings()
|
|
output_dir = Path(settings.reports_output_dir)
|
|
output_dir.mkdir(parents=True, exist_ok=True)
|
|
report_id = f"{uuid.uuid4().hex[:12]}.html"
|
|
(output_dir / report_id).write_text(html, encoding="utf-8")
|
|
|
|
return {"public_url": f"{settings.base_url}/api/reports/output/{report_id}"}
|