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analyse_pdf.py
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analyse_pdf.py
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import datetime
import json
from typing import Dict, List
from pathlib import Path
print("how close are we to https://www.coronawarn.app/assets/documents/2020-09-23-cwa-daten-fakten.pdf")
with open("page/plots/data.json") as f:
users = json.load(f)
known_ranges: List[Dict] = []
known_ranges.append({"start": "2020-08-31", "end": "2020-09-21", "known_count": 2350}) # 3 wochen
known_ranges.append({"start": "2020-06-14", "end": "2020-09-21", "known_count": 5032}) # overall
known_ranges.append({"start": "2020-08-22", "end": "2020-09-21", "known_count": 3200}) # last 30 days
known_ranges.append({"start": "2020-06-14", "end": "2020-10-01", "known_count": 7120}) # overall
known_ranges.append({"start": "2020-09-01", "end": "2020-10-01", "known_count": 4323}) # last month
known_ranges.append({"start": "2020-09-03", "end": "2020-10-01", "known_count": 4302}) # last 4 weeks
known_ranges.append({"start": "2020-09-25", "end": "2020-10-01", "known_count": 1435}) # last week
known_ranges.append({"start": "2020-06-14", "end": "2020-10-08", "known_count": 9249}) # overall
known_ranges.append({"start": "2020-09-01", "end": "2020-10-06", "known_count": 5972}) # testergebnisse
known_ranges.append({"start": "2020-09-11", "end": "2020-10-08", "known_count": 5751}) # last 4 weeks
known_ranges.append({"start": "2020-10-02", "end": "2020-10-08", "known_count": 2128}) # last week
for k_range in known_ranges:
k_range["my_count"] = 0
k_range["daily_count"] = 0
for day in users:
for k_range in known_ranges:
if datetime.datetime.fromisoformat(k_range["start"]) <= datetime.datetime.fromisoformat(day["date"]) <= datetime.datetime.fromisoformat(k_range["end"]):
k_range["my_count"] += day["users_published"]
for daily_file in Path("page/users").iterdir():
if daily_file.name == ".gitkeep":
continue
with open(daily_file) as f:
content = f.readlines()
for line in content:
if "user(s) found" in line:
count = int(line.split(" ")[0])
if "Invalid Transmission Risk Profile" in line:
inv = int(line.split(" ")[0])
count -= inv
for k_range in known_ranges:
if datetime.datetime.fromisoformat(k_range["start"]) <= datetime.datetime.fromisoformat(daily_file.stem) <= datetime.datetime.fromisoformat(k_range["end"]):
k_range["daily_count"] += count
print(json.dumps(known_ranges, indent=True))
""" my_count == using hourly files, skipping 3 oclock packages
[
{
"start": "2020-08-31",
"end": "2020-09-21",
"known_count": 2350,
"my_count": 2591,
"daily_count": 2589
},
{
"start": "2020-06-14",
"end": "2020-09-21",
"known_count": 5032,
"my_count": 4967,
"daily_count": 4978
},
{
"start": "2020-08-22",
"end": "2020-09-21",
"known_count": 3200,
"my_count": 3252,
"daily_count": 3250
},
{
"start": "2020-06-14",
"end": "2020-10-01",
"known_count": 7120,
"my_count": 6936,
"daily_count": 6946
},
{
"start": "2020-09-01",
"end": "2020-10-01",
"known_count": 4323,
"my_count": 4495,
"daily_count": 4492
},
{
"start": "2020-09-03",
"end": "2020-10-01",
"known_count": 4302,
"my_count": 4288,
"daily_count": 4285
},
{
"start": "2020-09-25",
"end": "2020-10-01",
"known_count": 1435,
"my_count": 1337,
"daily_count": 1336
},
{
"start": "2020-06-14",
"end": "2020-10-08",
"known_count": 9249,
"my_count": 9184,
"daily_count": 9193
},
{
"start": "2020-09-01",
"end": "2020-10-06",
"known_count": 5972,
"my_count": 5716,
"daily_count": 5712
},
{
"start": "2020-09-11",
"end": "2020-10-08",
"known_count": 5751,
"my_count": 5741,
"daily_count": 5738
},
{
"start": "2020-10-02",
"end": "2020-10-08",
"known_count": 2128,
"my_count": 2248,
"daily_count": 2247
}
]
"""