"""Render 40 declared analytic figures. Parameters and checks live in part_a...part_d."""
from pathlib import Path
import csv,json,textwrap
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
from models import collect
ROOT=Path(__file__).resolve().parents[1]
PANELS=collect()['panels']
def render():
 out=ROOT/"figures";out.mkdir(exist_ok=True)
 plt.rcParams.update({"font.family":"DejaVu Sans","font.size":10,"axes.spines.top":False,"axes.spines.right":False,
  "axes.edgecolor":"#a8ada5","axes.labelcolor":"#263b3b","xtick.color":"#465957","ytick.color":"#465957",
  "svg.hashsalt":"auturnal-dl-20-v1","figure.facecolor":"#f7f6f0","axes.facecolor":"#f7f6f0","savefig.facecolor":"#f7f6f0"})
 colors=["#205e67","#ad683c","#657fa3","#85566f"];styles=["-","--","-.",":"]
 for p in PANELS:
  fig,ax=plt.subplots(figsize=(7.2,4.8),dpi=180)
  fig.subplots_adjust(left=.13,right=.97,top=.78,bottom=.18)
  fig.text(.13,.94,f"{p['article']:02}.{p['number']}  /  DECLARED MODEL",fontsize=8.5,color="#8b7144",weight="bold")
  fig.text(.13,.875,"\n".join(textwrap.wrap(p["title"],52)),fontsize=13,color="#233d3d",weight="bold",va="center")
  for i,s in enumerate(p["series"]):
   if p.get("plot")=="bar":ax.bar(s["x"],s["y"],width=.55,color=colors[0]);
   else:ax.plot(s["x"],s["y"],label=s["label"],lw=2,color=colors[i%4],ls=styles[i%4],marker=p.get("marker"),markersize=4)
  ax.set(xlabel=p["xlabel"],ylabel=p["ylabel"],xscale=p["xscale"],yscale=p["yscale"])
  if p.get("xticks"):ax.set_xticks(p["xticks"])
  if p.get("plot")=="bar":ax.set_xticks(p["series"][0]["x"],p["ticklabels"]);ax.locator_params(axis="y",integer=True)
  ax.grid(axis="y",alpha=.19);ax.set_axisbelow(True)
  if p.get("plot")!="bar":ax.legend(frameon=True,facecolor="#f7f6f0",edgecolor="#dedfd7",fontsize=8,loc="best")
  fig.text(.13,.035,"CONSTRUCTED EXAMPLE  /  See article for assumptions and downloadable data.",fontsize=7,color="#66736d")
  fig.savefig(ROOT/p["image"],dpi=180,metadata={"Software":"Auturnal declared-model generator"})
  fig.savefig(ROOT/p["vector"],metadata={"Date":None,"Creator":"Auturnal declared-model generator"})
  plt.close(fig)
  with (ROOT/p["data"]).open("w",encoding="utf-8",newline="") as f:
   w=csv.writer(f);w.writerow(["series","x","y"])
   for s in p["series"]:
    w.writerows((s["label"],format(x,".17g"),format(y,".17g")) for x,y in zip(s["x"],s["y"]))
 (out/"panels.json").write_text(json.dumps(PANELS,ensure_ascii=False,indent=2,allow_nan=False)+"\n",encoding="utf-8")
if __name__=='__main__':
 assert len(PANELS)==40
 render()
 print(json.dumps({'figures':40,'numeric_points':sum(len(s['x']) for p in PANELS for s in p['series'])}))