1 files changed, 153 insertions, 0 deletions
diff --git a/admin/stats/old.py b/admin/stats/old.py
new file mode 100755
index 0000000..e3d46cc
--- /dev/null
+++ b/admin/stats/old.py
@@ -0,0 +1,153 @@
+#!/usr/bin/env python3
+
+from collections import Counter, defaultdict
+from dataclasses import dataclass
+from datetime import datetime, timedelta
+import re
+from os import remove
+from subprocess import run
+from sys import argv
+
+import user_agents
+
+
+ACCESS_RE = re.compile(' '.join((
+    r'(?P<address>\S+)',
+    r'\S+',
+    r'\S+',
+    r'(?P<date>\[\S+ \S+\])',
+    r'"GET (?P<resource>[^ ?]+)(\?\S+)? [^"]+"',
+    r'200 [0-9]+',
+    r'"(?P<referer>[^"]+)"',
+    r'"(?P<useragent>[^"]+)"'
+)))
+
+DATE_FMT = '[%d/%b/%Y:%H:%M:%S %z]'
+
+VISIT_MAX_DURATION = timedelta(hours=1)
+
+
+@dataclass
+class Access:
+    address: str
+    useragent: str
+    referer: str
+    time: datetime
+    resource: str
+
+    @classmethod
+    def from_log(cls, info):
+        resource = info['resource']
+        if resource == '/':
+            resource = '/index.html'
+
+        referer = re.sub(
+            r'https://(?:www\.)?quatuorbellefeuille\.(?:fr|com)(/[^?]*)(?:\?.+)?',
+            r'\1',
+            info['referer']
+        )
+        if referer == '/':
+            referer = '/index.html'
+
+        return cls(
+            info['address'], user_agents.parse(info['useragent']),
+            referer, datetime.strptime(info['date'], DATE_FMT),
+            resource
+        )
+
+def interesting(resource):
+    return (
+        resource.endswith('.html')
+        or resource == '/'
+    )
+
+def parse(logs_path):
+    with open(logs_path) as logs_file:
+        logs = logs_file.read().splitlines()
+
+    matches = (ACCESS_RE.match(l) for l in logs)
+    return tuple(
+        Access.from_log(m) for m in matches
+        if (m is not None
+            and interesting(m['resource'])
+            and 'klg.uber.space' not in m['referer'])
+    )
+
+def key(access):
+    return f'{access.address} / {access.useragent}'
+
+def visits(accesses):
+    # Map (IP, user agent) to list of visits.  A visit is a list of
+    # accesses.  When processing an access, if the previous time for
+    # this (IP, user agent) is less than VISIT_MAX_DURATION seconds
+    # ago, we aggregate it, otherwise, we start a new visit.
+    visits = defaultdict(list)
+
+    for access in accesses:
+        visitor = key(access)
+
+        if visitor in visits:
+            last_access = visits[visitor][-1][-1].time
+
+            if access.time - last_access < VISIT_MAX_DURATION:
+                visits[visitor][-1].append(access)
+                continue
+
+        visits[visitor].append([access])
+
+    return visits
+
+def order(grouped_visits):
+    # Flatten { (IP, UA) ↦ [visits] } to { (IP, UA, t0) ↦ accesses }.
+    visits = {}
+
+    for i, i_visits in grouped_visits.items():
+        for v in i_visits:
+            visits[(i, v[0].time)] = v
+
+    return visits
+
+def visit_graph(accesses):
+    edges = (f'    "{a.referer}" -> "{a.resource}";'
+             for a in accesses)
+    return '\n'.join((f'digraph visit {{', *edges, '}'))
+
+def graph(visits):
+    date = visits[0][0].time.strftime('%F')
+
+    tempfiles = {
+        f'{date}-{i}.pdf': visit for i, visit in enumerate(visits)
+    }
+
+    for tempfile, visit in tempfiles.items():
+        vgraph = visit_graph(visit)
+
+        with open(tempfile, 'wb') as vfile:
+            vfile.write(
+                run(('dot', '-Tpdf'), text=False, check=True,
+                    capture_output=True, input=vgraph.encode())
+                .stdout
+            )
+
+    run(('qpdf', '--empty', '--pages', *tempfiles, '--', f'{date}.pdf'),
+        check=True)
+
+    for f in tempfiles:
+        remove(f)
+
+def analyze(logs_path):
+    accesses = parse(logs_path)
+    visits_by_visitor = visits(accesses)
+    visits_by_time = order(visits_by_visitor)
+
+    print('Visiteurs :', len(visits_by_visitor))
+    print('Visites :', len(visits_by_time))
+
+    pagehits = Counter(a.resource for a in accesses)
+    for page, hits in pagehits.most_common():
+        print(hits, page)
+
+    graph(tuple(visits_by_time.values()))
+
+if __name__ == '__main__':
+    analyze(argv[1])