#!/usr/bin/env python

# run like:
# generate_aggregate_json_by_date.py 1 2 3 4 5 6 7 8 9

import sys
import os
import subprocess
import json
from pathlib import Path
from origin_content_classifier import classify_web_content_traits

# setup input file, output file naming conventions
testn = sys.argv[1];
url = sys.argv[2];
platformn = sys.argv[3];
datestr = sys.argv[4];
sxsvi = sys.argv[5];
fjsnfilm = sys.argv[6];
fjsnmetric = sys.argv[7];
cjsnfilm = sys.argv[8];
cjsnmetric = sys.argv[9];

metrics_sfx = "-metrics.json"
power_sfx = "-power.json"

# Consolidate per-date and platform data files into one file.
# json for filmstrips, json for metrics
# firefox and chrome sections
def serialize_aggregate(tname, url, tplatform, date, sbys_video,
                        flmfirefoxj, mtrxfirefoxj,
                        flmchromej, mtrxchromej):
    fpowerj = mtrxfirefoxj + power_sfx;
    cpowerj = mtrxchromej + power_sfx;

    vdict = { }
    vdict["platform"] = tplatform
    vdict["date"] = date
    vdict["test"] = tname
    vdict["url"] = url
    vdict["url_content_traits"] = classify_web_content_traits(url)
    vdict["video_side_by_side"] = sbys_video

    # firefox metrics, filmstrip
    if os.path.exists(flmfirefoxj):
        with open(flmfirefoxj, 'r') as jff:
            firefox_dict = json.load(jff)
            if os.path.exists(fpowerj):
                with open(fpowerj, 'r') as jfpow:
                    firefoxp_dict = json.load(jfpow)
                    firefox_dict["power"] = firefoxp_dict
            else:
                firefox_dict["power"] = { }
            with open(mtrxfirefoxj + metrics_sfx, 'r') as jfm:
                firefoxm_dict = json.load(jfm)
                firefox_dict["metrics"] = firefoxm_dict
            vdict["firefox"] = firefox_dict

    # chrome metrics, filmstrip
    if os.path.exists(flmchromej):
        with open(flmchromej, 'r') as jc:
            chrome_dict = json.load(jc)
            if os.path.exists(cpowerj):
                with open(mtrxchromej + power_sfx, 'r') as jcpow:
                    chromep_dict = json.load(jcpow)
                    chrome_dict["power"] = chromep_dict
            else:
                chrome_dict["power"] = { }
            with open(mtrxchromej + metrics_sfx, 'r') as jcm:
                chromem_dict = json.load(jcm)
                chrome_dict["metrics"] = chromem_dict
            vdict["chrome"] = chrome_dict

    ofname = date + "-" + tplatform + "-" + tname + "-aggregate.json"
    with open(ofname, 'w') as of:
        json.dump(vdict, of, indent=2)

serialize_aggregate(testn, url, platformn, datestr, sxsvi,
                    fjsnfilm, fjsnmetric, cjsnfilm, cjsnmetric)