initial topcoder provider

coding/topcoder.py

@@ -0,0 +1,72 @@
+#!/usr/bin/env python3
+from datetime import datetime
+from typing import NamedTuple
+from pathlib import Path
+import json
+from typing import Dict, Iterator
+
+from kython import cproperty
+from kython.konsume import dell, zoom, keq, akeq
+from kython.kerror import Res, ytry
+
+
+def get_latest():
+    last = max(Path('/L/Dropbox/data/topcoder').glob('*.json'))
+    return json.loads(last.read_text())
+
+
+class Competition(NamedTuple):
+    json: Dict[str, str]
+
+    @cproperty
+    def contest(self) -> str:
+        return self.json['challengeName']
+
+    @cproperty
+    def when(self) -> str:
+        return self.json['date']
+
+    # TODO rating/placement/percentile??
+
+    @classmethod
+    def make(cls, json) -> Iterator[Res['Competition']]:
+        yield cls(json=json)
+        yield from ytry(lambda: akeq(json, 'challengeName', 'percentile', 'rating', 'placement', 'date'))
+
+
+def iter_data() -> Iterator[Res[Competition]]:
+    j = get_latest()
+    dell(j, 'id', 'version')
+
+    j = zoom(j, 'result')
+    dell(j, 'success', 'status', 'metadata')
+
+    j = zoom(j, 'content')
+
+    dell(j, 'handle', 'handleLower', 'userId', 'createdAt', 'updatedAt', 'createdBy', 'updatedBy')
+
+    dell(j, 'DEVELOP') # TODO handle it??
+    j = zoom(j, 'DATA_SCIENCE')
+
+    mar, srm = zoom(j, 'MARATHON_MATCH', 'SRM')
+
+    mar = zoom(mar, 'history')
+    srm = zoom(srm, 'history')
+    # TODO right, I guess I could rely on pylint for unused variables??
+
+    for c in mar + srm:
+        dell(c, 'challengeId')
+        yield from Competition.make(json=c)
+
+
+def get_data():
+    return list(sorted(iter_data(), key=Competition.when))
+
+
+def main():
+    for d in iter_data():
+        print(d)
+
+
+if __name__ == '__main__':
+    main()